{"paper_id":"072f626b-df1f-4986-bd67-422785642fe9","body_text":"Graft-recipient-weight ratio and lowered immunosuppression is important for the success of adult liver retransplantation: 25-year single center experience | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Graft-recipient-weight ratio and lowered immunosuppression is important for the success of adult liver retransplantation: 25-year single center experience Jinsoo Rhu, Gyu-Seong Choi, Jong Man Kim, Jae-Won Joh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2586332/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Aug, 2023 Read the published version in Scientific Reports → Version 1 posted 8 You are reading this latest preprint version Abstract Introduction: This study analyzed the risk of liver retransplantation and factors related to better outcome. Methods: Adult liver transplantations performed during 1996 to 2021 were included. Comparison between first transplantation and retransplantation were performed. Among retransplantation cases, comparison between whole liver and partial liver graft was performed. Multivariable Cox analyses for analyzing risk factors for graft and overall survival were performed for the entire cohort as well as the subgroup of patients with retransplantation. Results: A total 2237 transplantations from 2135 adults were included and 103 cases were retransplantation. A total of 44 cases (42.7%) were related to acute graft dysfunction while 59 cases (57.3%) were related to subacute or chronic graft dysfunction. Retransplantation was related poor graft (HR=3.439, CI=2.230-5.304, P<0.001) and overall survival. (HR=2.905, CI=2.089-4.040, P<0.001) Among retransplantations, mean serum FK506 trough level≥9ng/mL was related to poor graft (HR=3.692, CI=1.288-10.587, P=0.015) and overall survival. (HR=2.935, CI=1.195-7.211, P=0.019) Graft-recipient-weight ratio under 1.0% was related to poor overall survival in retransplantations. (HR=3.668, CI=1.150-11.698, P=0.028) Conclusions: Retransplantation can be complicated with poor graft and patient survival compared to first transplantation, especially when the graft size is relatively small. Lowering the FK506 trough level during the first month can be beneficial for outcome. Biological sciences/Immunology Health sciences/Gastroenterology retransplantation graft-recipient-weight ratio liver transplantation Figures Figure 1 Figure 2 INTRODUCTION Although liver transplantation (LT) can provide excellent cure for end-stage liver disease and malignancies such as hepatocellular carcinoma, there are still patients who require liver retranplantation (reLT) due to acute graft dysfunction, rejection, relapse of the original disease, de novo liver disease or other causes. However, many LT recipients who require reLT fails to receive another liver graft and only certain proportion of recipients with graft failure undergo reLT. The proportion of reLT, therefore, varies around 5–22%, differing by the regions where LT is performed. 1 – 7 Since reLT is quite rare, published studies were relatively small-sized and only recently, a number of studies using multicenter data were published. 3 , 5 The data reported showed inferior outcome of reLT compared to first LTs. Reported factors related to outcome were Model for End-stage Liver Disease (MELD) score, donor age, durations between LTs, and intensive care unit admission at the time of LT. 3 – 5 The study published by Mezochow et al. focused on the intensity of immunosuppression in reLT recipients but failed to distinguish statistically meaningful outcome. 5 The previously published studies mainly had two limitations. Single-center study can be limited by the low number of cases included leading to lower statistical power and weak generalizability. On the other hand,, a multicenter study using a national registry can gain statistical power while lack of detailed data can midlead the conclusion by not adjusting for the heterogenous background. In this study, we summarized our single center experience over 25 years, and focused on the risk of reLT compared to first LT, potential risk factors for prognosis in reLT recipients, and our detailed management and its result to find a meaningful information on this rare but devastating patient group. METHODS Patients and data LTs for adult recipients performed from 1996 to October 2021 at Samsung Medical Center were included. Pediatric LTs were excluded from the study. Donor and recipient data were comprehensively reviewed from our prospectively maintained database especially focusing on reLT patients. Recipient’s complications that occurred within 30 days post-LT were collected and categorized according to Clavien-Dindo classification. 8 Data on graft survival and overall survival were collected. Patients with retransplantation Reason for reLT as well as cause of death were reviewed in detail. The reasons for reLT were categorized into acute graft dysfunction and subacute or chronic graft dysfunction. To categorize cases into acute and subacute or chronic, days after the prior LT were calculated and medical charts were reviewed for detailed history. Acute graft dysfunction included primary nonfunction and secondary graft dysfunction which showed failure of engraftment after prior LT. On the other hand, subacute or chronic graft dysfunction were defined as cases in which the graft showed graft failure after successful engraftment which can be judged by normalizing liver chemistries after prior LT. Whether the recipients were under ventilator care or infusion of inotropic agents for management of shock. To review how the reLT recipients were managed by the medical team, use of immunosuppressants were also collected. Use of induction therapy and maintenance regimen during the first month after reLT were collected. The initiation day after reLT as well as the mean trough level of tacrolimus after reLT were calculated. The initiation day after reLT of mycophenolate mofetil and the median daily dosage were calculated. The medican daily dosage of steroid were also calculated. Infection episodes occurring during the first month after reLT were reviewed. Respiratory infections were subdivided into bacterial pneumonia, aspergillus pneumonia and viral pneumonia. Intra-abdominal infection was defined as culture-positive drain with signs of infection based on blood chemistry and computed tomography of the abdomen. Although cytomegalovirus (CMV) antigenemia was not included in infection episode, positivity of the test as well as CMV count among 200,000 copies were reviewed. Statistical analysis For the entire patient cohort, statistical analyses were performed focusing on the prognosis of reLT compared to first LT. Comparison of baseline characteristics as well as outcome between first LT and reLT were performed. Comparisons were performed based on cases performed, but not based on patients. Furthermore, comparison between reLT patients with partial liver graft and whole liver graft was performed. Kaplan-meier survival analyses with log-rank test were performed to analyze graft survival and overall survival. Multivariable Cox analyses were performed to analyze potential risk factors for graft survival and overall survival. In the subgroup analysis including reLT patients, graft-recipient-weight ratio (GRWR) was divided into two groups with a cutoff of 1% while first month mean serum tacrolimus trough level was divided with a cutoff of 9 ng/mL where it showed the lowest P-value. Numerical variables of each group were compared using Student’s t-test or Mann-Whitney test and expressed as mean ± standard deviation or median (interquartile range, IQR), respectively. Categorical variables divided into two components were compared using chi-square test or Fisher’s exact test. Statistical analysis was executed using Statistical Package for Social Sciences (SPSS) version 22.0 (IBM Corp., Armonk, NY, USA). This study was approved by the Institutional Review Board of Samsung Medical Center (IRB No. 2022-03-097) and the study was performed in accordance with relevant guidelines and regulations. This study did not include human participants and informed consent was waived by the institutional review board of Samsung Medical Center. Results During the study period, a total of 2392 recipients underwent 2513 LTs at Samsung Medical Center. After excluding 258 pediatric recipients who underwent 276 LTs, 2237 LTs of 2135 adult recipients were included to the study. Among these cases, 2134 first LTs were performed by 2134 recipients while one patient who underwent first LT at a different institution received retransplantation at Samsung Medical Center. Among 2134 recipients, 99 recipients received second transplantation and four of them underwent third LT afterwards. Comparison between first LT and reLT Table 1 summarizes the comparison between first LT group (n = 2134) and reLT group (n = 103). In general, the two groups showed significant differences in recipient-, donor-, and also outcome-related variables. Proportion of hepatitis B virus was prominent in first LT group (66.7% vs. 54.4%, P = 0.010). Hepatocellular carcinoma rate was also higher in the first LT group. (52.3% vs. 36.3%, P = 0.002) Regarding pre-transplant chemistries, the reLT group showed more disease profile including serum albumin (P = 0.008), serum total bilirubin (P < 0.001), prothrombin time (P = 0.002) and serum creatinine. (P = 0.001) Pre-transplant variceal bleeding showed higher rate in the first LT group (16.3% vs. 4.9%, P = 0.001) as well as ascites. (59.5% vs. 42.7%, P = 0.001) However, hepatorenal syndrome rate was higher in the reLT group (12.7% vs. 48.5%, P < 0.001) as well as pre-transplant ventilator care (4.4% vs. 21.4%, P < 0.001) mean MELD score (20.3 ± 11.6 vs. 32.1 ± 8.8, P < 0.001) and Child-Turcot-Pugh (CTP) score was highger in the reLT group. (9.1 ± 2.7 vs. 10.3 ± 2.0, P < 0.001) Majority of reLT recipients received their grafts from deceased donor (88.3%) while only 23.3% of cases were performed as deceased donor LT in the first LT group. (P < 0.001) Donor age was significantly higher in the reLT group (46.0 ± 15.2 years) compared to the first LT group (36.0 ± 14.1 years, P < 0.001). While ABO incompatible LTs comprised 10.5% of the first LT group, only 1.9% of cases were ABO incompatible in the reLT group. (P = 0.002) Mean graft weight (849 ± 343g vs. 1316 ± 375g, P < 0.001) and GRWR (1.28 ± 0.55% vs. 2.11 ± 0.67%, P < 0.001) were higher in the reLT group. Whole liver graft transplantation was prominently performed in the reLT group (86.3%) compared to the first LT group. (22.5%, P < 0.001) Patient outcomes were poorer in the reLT group, including 30-day complication rate (50.6% vs. 80.6%, P < 0.001) as well as the severity classified by Clavien-Dindo classification. (P < 0.001) Graft failure rate (8.6% vs. 33.0%, P < 0.001) and mortality rate (25.6% vs. 53.4%, P < 0.001) were both higher in the reLT group. Graft survival and overall survival Kaplan-Meier survival analyses with log-rank tests were performed to compare graft survival and overall survival of first LT group and reLT group as well as the difference between types of liver grafts in the subgroups with first LT group and the reLT group. (Fig. 1) The 1-year, 5-year, and 10-year graft survivals of the first LT group and the reLT group were 94.2%, 90.7%, 88.1% and 69.1%, 59.3%, 50.8%, respectively. (P < 0.001) The 1-year, 5-year, and 10-year overall survivals of the first LT group and the reLT group were 86.4%, 74.7%, 67.9% and 50.0%, 41.3%, 41.3%, respectively. (P < 0.001) To evaluate the impact of partial liver and whole liver graft, overall survivals were analyzed in two separate subgroups. In patients with first LT, partial liver graft showed better overall survival compared to the whole liver graft. (P < 0.001) On the other hand, in patients with reLT, partial liver graft showed inferior survival curve without statistical significance. (P = 0.113) Multivariable Cox analyses were performed to identify significant risk factors for prognosis. (Table 2) ReLT (HR = 3.439, CI = 2.230–5.304, P < 0.001) was a significant risk factor for poor graft survival along with MELD score (HR = 1.020, CI = 1.007–1.033, P = 0.002) and donor age (HR = 1.021, CI = 1.011–1.032, P < 0.001). ReLT (HR = 2.905, CI = 2.089–4.040, P < 0.001) showed significant relationship to overall survival along with recipient age ≥ 60 years (HR = 1.473, CI = 1.207–1.797, P < 0.001), hepatorenal syndrome (HR = 1.437, CI = 1.083–1.907, P = 0.012), and pretransplant albumin (HR = 1.227, CI = 1.147–1.314, P < 0.001) were significant factor related to overall survival. Comparison between reLT patients with whole liver graft and whole liver graft Table 3 summarizes the comparison of background characteristics between reLT patients with whole liver graft and partial liver graft. Among 103 reLT cases, whole liver was transplanted in 88 cases (85.4%) while partial liver was transplanted in 15 cases. (14.6%) While there were no difference in the type of donor for previous transplant, (27.3% living donor in whole liver group vs. 26.7% living donor in partial liver group, P = 1.000) significant difference was present in donor type during reLT. (100.0% deceased donor in whole liver group vs. 20.0% deceased donor in partial liver group, P < 0.001) Hospitalization prior to reLT was significantly different between the two groups. (93.2% in whole liver group vs. 60.0% in partial liver group, P < 0.001) Median graft weight (1418 g, IQR 1204–1604 in whole liver group vs. 718 g, IQR 614–958 in partial liver group, P < 0.001) as well as median GRWR (2.22%, IQR 1.90–2.66 in whole liver group vs. 1.10%, IQR 0.92–1.66 in partial liver group, P < 0.001) were significantly different between the two groups. Table 4 summarizes the comparisons regarding posttransplant management and transplantation outcome between the two groups. There were no significant difference between the two groups regarding proportion of induction therapy as well as the intensity. (P = 0.555 and P = 0.425) There was a trend toward significance regarding mean trough level of serum tacrolimus during 1st month. Median mean FK trough level was 6.7 ng/mL (IQR 5.5–11.1) in the partial liver group while that of whole liver group was 5.7 ng/mL (IQR 4.2–7.1, P = 0.068). Graft survival and overall survival in reLT patients Graft survivals and overall survivals were analyzed using Kaplan-meier log-rank test according to GRWR < 1.0% and mean daily FK trough level ≥ 9 ng/mL in reLT patients. (Fig. 2) Based on log-rank test, graft survival (P = 0.009) and overall survival (P = 0.009) showed significant difference according to the mean daily FK trough level of ≥ 9 ng/mL. While GRWR < 1% was not significantly related to graft survival difference (P = 0.514), it showed significant difference in overall survival. (P < 0.001) Multivariable Cox analysis of potential risk factors for graft survival and overall survival in reLT patients were analyzed. (Table 5) In the univariable analyses for graft survival, only mean daily FK trough level ≥ 9 ng/mL (HR = 3.692, CI = 1.288–10.587, P = 0.015) was related to poor graft survival. Regarding overall survival, GRWR < 1.0% (HR = 3.668, CI = 1.150-11.698, P = 0.028) and mean daily FK trough level ≥ 9 ng/mL (HR = 2.935, CI = 1.195–7.211, P = 0.019) were significantly related to poor overall survival. Discussion Although the outcome of LT is improving, certain proportion of recipients experience graft failure which requires reLT. Unlike first LT which shows excellent outcome, reLT generally shows poor outcome in that the recipient is already immunocompromised due to the use of immunosuppressants, comorbid condition before transplantation and also due to the surgical difficulties made by adhesions after the first LT. The main findings of this study are reconfirmation of the morbid outcome of reLT and the confirmation of the importance of GRWR and lowered immunosuppression in reLT recipients. Although the survival outcome varies among published studies, all the studies reported poor outcome compared to first LT. Our data showed relatively poor outcome compared to other literatures maybe due to poor patient condition at the time of reLT. Our 25-year single center experience on reLT showed 5% (n = 121) of reLT among 2392 recipients. Other published study reported reLT rates ranging from 5 to 22%. 2,3,6,9 Acute graft dysfunction after prior LT comprised 42.7% (n = 44) of total reLT case while subacute or chronic graft dysfunction comprised 57.3% (n = 59). Primary nonfunction (n = 22, 21.4%) was diagnosed when the graft failed to function properly without evident vascular compromisation. Secondary graft nonfunction (n = 22, 21.4%) was diagnosed when the graft failed to function due to vascular complication or ischemic damage due to shock of any reason. In the study by Kuramitsu et al., indications for reLT were vascular (8.1%), small-for-size syndrome (1.6%) and unknown in 28.5%. Although data were imperfect due to the study’s limitation using national registry, rejection (26.0%), recurrence (29.3%) and bile duct complications (6.5%) comprised 61.8% of cases which was similar to our study. 3 A single center study published by Marudanayagam et al. reported similar data although primary nonfunction (10.7%), hepatic artery thrombosis (31.1%) and graft infarction (13.2%) comprised 55.0% which is a little higher than our data. However, our study showed different demographics especially on how the reLT was performed. The median MELD score of our recipients was 34 (IQR 26–40) and 88.3% (n = 91) of the recipients received their graft from deceased donors. The study by Marudanayagam et al. reported only deceased donor liver transplantation and the multicenter study of Japan also showed living donor dominance (73.2%) during reLT. The median MELD score was 22.3 (range 6–40) in the study by Marudanayagam et al. and ranged 26 to 30 in the study by Mezochow et al., which reported 3483 adult reLT recipients from the United Network for Organ Sharing database. 3 – 5 These differences show that although the background history of reLT is similar, the clinical course differ between countries with different regulation and culture. Unfortunately, our data showed that LT recipients who require reLT do not have plenty of other option but to wait for allocation with a deceased donor of which the chance is relatively lower than other countries due to the shortage of organ donation from deceased donors. Consequently, patients who require reLT only be allocated after their conditions become more worse, which is represented by high RRT rate at the time of reLT (45.6%) compared to 17.3% in the study by Mezochow et al. 5 In this study, we reviewed the data on immunosuppression. The main induction regimen except for steroid is basiliximab in our institution. Except for two cases with antithymocyte globulin, basiliximab was used. Categorizing the use of induction regimen was difficult since certain proportion of patients underwent reLT in a short period from their prior LT. A total of 38 cases (36.9%) were performed without an induction regimen except for steroid. Among them, 18 cases were due to the short term use of induction regimen from prior LT. This is in fact quite high when we compare it to the study by Mezochow et al. which reported 80.4% of no induction rate. 5 In the study, they reported that depleting induction marginally improved post-reLT mortality (HR = 0.77, CI = 0.61–0.99, P = 0.08) However, interpreting these data require caution in that the intensity of immunosuppression must have been adjusted for each patient based on their clinical condition. Although there was no statistical difference in the immunosuppression between reLT with partial liver graft and whole liver graft, the partial liver graft group showed higher rate of basiliximab induction. Furthermore, initiation date was earlier and mean trough level of tacrolimus was higher. The background characteristics of reLT group with partial liver graft generally shows better pretransplant condition compared to the whole liver group in regards of liver chemistries and pretransplant hospitalization. These data shows that intensity of immunossupression was adjusted for morbid patients. In the absence of direct parameter for the net state of immunosuppression, lowering the intensity of immunosuppression in reLT recipients seem to be a safe approach when combined with the finding that high FK trough level was related to poor outcome. GRWR showed conflicting outcomes in first LT recipients and reLT recipients. While higher GRWR being related to poor outcome in the univariable analyses of entire cohort, caution is required not to interpret the result without any consideration on selection bias. Low GRWR, which is related to living donor LT, are cautiously selected for adequate graft volume, therefore it is highly unlikely our data might have showed any evidence of low GRWR showing inferior outcome. On the other hand, the GRWR in relation to reLT cases showed opposite finding. Although GRWR failed to show statistical significance as a continuous variable in overall survival, GRWR less than 1% showed highly morbid outcome even after adjustment for the confounding variables. While GRWR of 1% generally is considered adequate for successful LT, the results devastating in reLT patients. The six patients with reLT using a graft with GRWR less than 1%, all expired after the transplantation. When the cutoff was elevated to 1.2%, 90.9% (10 out of 11 reLT cases) expired after reLT. To avoid poor outcome in reLT, some strategies can be recommended. When the patient requires reLT, it is best to perform reLT when the patient is in their best condition. However, shortage of organ donation can limit this strategy, and living donor LT can be a solution in selected cases. This strategy can be implicated by the higher proportion of living donor LT in the Japanese national cohort study. However, deceased donor LT outweighted living donor LT in adult patients (61.0%) in the Japanese study, showing it can be only achieved in selected patients in contrast to pediatric reLTs. (16.2% deceased donor LT) The study by Kuramitsu et al. concluded that graft failure within a year should be thoroughly restricted to justify the use of living donors based on their result of worse outcome compared to graft failure exceeding 365 days. 3 The outcome was reproduced in the study of Mezochow et al., showing poor outcome in reLT timing between 91 to 365 days. (HR 1.41, CI = 1.19–1.67) However, our study did not find a statistically significant outcome related to duration between LTs. Therefore, deciding whether to perform living donor LTs for patients who are available for their family members for living donation based on the timing of graft failure needs to be reconsidered and managed as an individualized approach. Given the information that reLT is related to worse outcome compared to first LT, building up a system to give advantage in deceased donor allocation can be a solution, while ethical issue for apportioning a public matter to a person who already received the benefit can be a conflicting issue. For preparing surgery for reLT patients, patient conditioning for the best operation can be needed since hypovolemic shock due to massive bleeding can compromise the allograft. The intensity of immunosuppression is also a key factor. A total of 15.5% (n = 16) of reLT recipients expired due to infection. Infectious condition prior to reLT can also influence graft failure. Although 11.5% of deaths were related to graft rejection after reLT, decreasing the intensity of immunosuppression in the early period can be justified since all four patients died for chronic rejection survived more than two years after reLT. (Median 44.1 months, range 25.5–88.9 months) Lowering the immunosuppression in the initial period and gradually elevating the intensity after patient stabilization can be a good strategy in the long term. The limitation of this study is that it is a retrospective single-center study. However, regarding reLT, prospective trial is unrealistic. Although some studies based on multicenter registries have been published, the details in the data are lacking which can make the readers confused. One example is the study by Mezochow et al., showing marginal benefit of depleting induction regimen. Experienced transplant clinician would interpret the result cautiously by distinguishing the true cause and consequence while some readers might conclude that depleting regimen can be the key for better management. On the other hand, our study could collect the data in more detail, especially during the first month after reLT. We demonstrated that nearly half (n = 50, 48.5%) of the reLT recipients experienced tissue-invasive infection as well as viremia represented by cytomegalovirus antigenemia. (n = 63, 61.2%) A comprehensive review of our reLT patient cohort made it possible to find clues in managing reLT recipients. To summarize our data on reLT patients, it is important to acknowledge that reLT patients are at high risk of mortality after LT compared to first LT. For these specific group of patients, liver graft with plenty of GRWR should be chosen with minimizing immunosuppression in the initial period. Abbreviations Liver transplantation LT Liver transplantation reLT Model for End-stage Liver Disease MELD Renal replacement therapy RRT Cytomegalovirus CMV Interquartile range IQR Child-Turcot-Pugh CTP Graft-recipient weight ratio GRWR Word count: 3,686 Abbreviations Liver transplantation LT Liver transplantation reLT Model for End-stage Liver Disease MELD Renal replacement therapy RRT Cytomegalovirus CMV Interquartile range IQR Child-Turcot-Pugh CTP Graft-recipient weight ratio GRWR Declarations Funding: There is no funding related to this study Conflict of interest: there are no conflicts of interest related to the article. Data availability statement: The data related to this study can be provided to whom requests after achievement of approval by the corresponding author (Jong Man Kim) by requesting review for data availability to the institutional ethical review board of Samsung Medical Center. Acknowledgements : This research was supported by the Basic Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2022R1F1A1074375) References Chen, G. H. et al. Early liver retransplantation versus late liver retransplantation: analysis of a single-center experience. Chin Med J (Engl) 121, 1992–1996 (2008). Kashyap, R. et al. Causes of retransplantation after primary liver transplantation in 4000 consecutive patients: 2 to 19 years follow-up. Transplant Proc 33, 1486–1487. http://doi.org/10.1016/s0041-1345(00)02563-x (2001). Kuramitsu, K. et al. A Multicenter Japanese Survey Assessing the Long-term Outcomes of Liver Retransplantation Using Living Donor Grafts. Transplantation 104, 754–761. http://doi.org/10.1097/TP.0000000000002958 (2020). Marudanayagam, R. et al. Liver retransplantation in adults: a single-centre, 25-year experience. HPB (Oxford) 12, 217–224. http://doi.org/10.1111/j.1477-2574.2010.00162.x (2010). Mezochow, A. K., Abt, P. L. & Bittermann, T. Differences in Early Immunosuppressive Therapy Among Liver Retransplantation Recipients in a National Cohort. Transplantation 105, 1800–1807. http://doi.org/10.1097/TP.0000000000003417 (2021). Pfitzmann, R. et al. Trends and experiences in liver retransplantation over 15 years. Liver Transpl 13, 248–257. http://doi.org/10.1002/lt.20904 (2007). Sun, C. K. et al. Retransplantation for end-stage liver disease: a single-center Asian experience. Transplant Proc 40, 2503–2506. http://doi.org/10.1016/j.transproceed.2008.07.067 (2008). Dindo, D. & Clavien, P. A. What is a surgical complication? World J Surg 32, 939–941. http://doi.org/10.1007/s00268-008-9584-y (2008). Chen, G. H. et al. A single-center experience of retransplantation for liver transplant recipients with a failing graft. Transplant Proc 40, 1485–1487. http://doi.org/10.1016/j.transproceed.2008.01.076 (2008). Tables Table 1 Comparison of baseline characteristics and transplantation-related outcome of liver transplantation recipients between first transplantation group and retransplantation group. First transplantation (n = 2134) Retransplantation (n = 103) P-value Recipient-related variable Recipient sex (Male vs. female) 1577/557 (73.9%) 71/32 (68.9%) 0.232 Recipient age (years) 47.2 ± 17.7 44.0 ± 18.6 0.060 Hypertension Diabetes mellitus 274 (12.8%) 458 (21.5%) 8 (7.8%) 27 (26.2%) 0.130 0.253 Etiology (Hepatitis B virus vs. others) Hepatitis B virus Hepatitis C virus Alcohol Others 1414 (66.7%) 97 (4.6%) 321 (15.1%) 289 (13.6%) 56 (54.4%) 5 (4.9%) 12 (11.7%) 30 (29.1%) 0.010 Hepatocellular carcinoma 1108 (52.3%) 37 (36.3%) 0.002 Pre-transplant albumin Pre-transplant total bilirubin Pre-transplant prothrombin time, INR Pre-transplant creatinine 3.2 ± 0.9 10.9 ± 14.0 2.05 ± 2.00 1.3 ± 1.2 3.1 ± 0.4 22.3 ± 15.2 2.51 ± 1.55 2.1 ± 1.8 0.008 < 0.001 0.002 0.001 Hepatic encephalopathy Variceal bleeding Ascites Hepatorenal syndrome Spontaneous bacterial peritonitis Pretransplant ventilator care 501 (23.5%) 347 (16.3%) 1269 (59.5%) 271 (12.7%) 204 (9.6%) 94 (4.4%) 22 (21.4%) 5 (4.9%) 44 (42.7%) 50 (48.5%) 6 (5.8%) 22 (21.4%) 0.620 0.001 0.001 < 0.001 0.204 < 0.001 MELD score CTP score 20.3 ± 11.6 9.1 ± 2.7 32.1 ± 8.8 10.3 ± 2.0 < 0.001 < 0.001 Donor-related variable Type of transplantation Living donor Deceased donor 1636 (76.7%) 498 (23.3%) 12 (11.7%) 91 (88.3%) < 0.001 Donor sex (Male vs. female) 1374/760 (64.4%) 64/39 (62.1%) 0.642 Donor age (years) 36.0 ± 14.1 46.0 ± 15.2 < 0.001 ABO incompatibility 224 (10.5%) 2 (1.9%) 0.002 Graft weight Graft-recipient weight ratio 849 ± 343 1.28 ± 0.55 1316 ± 375 2.11 ± 0.67 < 0.001 < 0.001 Warm ischemic time Cold ischemic time 40.2 ± 26.2 134 ± 114 35.0 ± 15.1 287 ± 158 0.066 < 0.001 Graft type (Whole vs. partial) Whole liver Right liver Left liver Right posterior 475 (22.5%) 1595 (75.7%) 36 (1.7%) 1 (0.0%) 88 (86.3%) 14 (13.7%) - - < 0.001 Recipient outcome 30-day complication None Grade I/II Grade III Grade IV/V 1079 (50.6%) 1050 (49.2%) 315 (14.8%) 610 (28.6%) 159 (7.5%) 82 (80.6%) 20 (19.4%) 14 (13.6%) 35 (34.0%) 34 (33.0%) < 0.001 < 0.001 Graft failure 184 (8.6%) 34 (33.0%) < 0.001 Death 541 (25.6%) 55 (53.4%) < 0.001 Model for End-stage Liver Disease MELD; Child-Turcot-Pugh CTP Table 2 Multivariable Cox analyses of potential risk factors for graft survival and overall survival of patients who underwent liver transplantation. variables n Graft survival Overall survival Univariable Multivariable (final model) Univariable Multivariable (final model) HR CI P HR CI P HR CI P HR CI P Retransplantation 103 5.882 4.048–8.545 < 0.001 3.439 2.230–5.304 < 0.001 3.459 2.618–4.570 < 0.001 2.905 2.089–4.040 < 0.001 Partial graft (against whole) 1659 0.407 0.310–0.533 < 0.001 0.634 0.533–0.753 < 0.001 0.339 0.084–1.372 0.129 MELD score 1.035 1.024–1.046 < 0.001 1.020 1.007–1.033 0.002 1.017 1.010–1.024 < 0.001 1.008 0.999–1.017 0.071 Male recipient (vs. female) 1635 0.770 0.576–1.030 0.078 1.038 0.859–1.253 0.702 Recipient age ≥ 60 509 1.029 0.738–1.435 0.867 1.424 1.180–1.718 < 0.001 1.473 1.207–1.797 < 0.001 Hepatocellular carcinoma 1139 0.674 0.514–0.884 0.004 1.129 0.960–1.328 0.141 Living donor (vs. deceased donor) 1633 0.417 0.319–0.547 < 0.001 0.635 0.535–0.754 < 0.001 2.812 0.692–11.426 0.148 Hypertension 277 0.951 0.617–1.467 0.821 1.219 0.955–1.556 0.113 Diabetes mellitus 481 1.187 0.867–1.624 0.286 1.160 0.958–1.406 0.129 Hepatic encephalopathy 522 1.158 0.860–1.560 0.334 1.060 0.884–1.272 0.528 Variceal bleeding 352 0.527 0.344–0.807 0.003 0.684 0.440–1.064 0.092 0.771 0.620–0.960 0.020 Ascites 1304 0.973 0.738–1.284 0.848 0.818 0.693–0.965 0.017 Hepatorenal syndrome 316 2.826 2.070–3.858 < 0.001 2.111 1.711–2.606 < 0.001 1.437 1.083–1.907 0.012 Spontaneous bacterial peritonitis 210 0.809 0.514–1.273 0.360 1.059 0.833–1.347 0.639 Pretransplant ventilator care 116 2.843 1.858–4.349 < 0.001 1.652 1.188–2.295 0.003 Pretransplant albumin 0.979 0.791–1.211 0.844 1.190 1.109–1.276 < 0.001 1.227 1.147–1.314 < 0.001 ABO incompatible 225 1.413 0.928–2.151 0.107 0.802 0.579–1.112 0.186 Male donor (vs. female) 1427 0.854 0.649–1.122 0.257 0.899 0.760–1.062 0.209 Donor age 1.028 1.021–1.035 < 0.001 1.021 1.011–1.032 < 0.001 1.013 1.008–1.019 < 0.001 1.006 1.000-1.013 0.066 Warm ischemic time 1.001 0.995–1.007 0.749 1.000 0.997–1.004 0.856 Cold ischemic time 1.003 1.002–1.003 < 0.001 1.001 1.000-1.002 0.068 1.001 1.001–1.002 < 0.001 GRWR 1.789 1.459–2.194 < 0.001 1.436 1.252–1.647 < 0.001 GRWR < 1.0 672 0.656 0.477–0.902 0.009 0.758 0.630–0.912 0.003 Liver transplantation LT; Liver retransplantation reLT; Renal replacement therapy RRT; Model for End-stage Liver Disease MELD; Graft-recipient weight ratio GRWR Table 3 Comparisons of background characteristics between retransplantation patients according to their graft type. Retransplantation with whole liver (n = 88) Retransplantation with partial liver (n = 15) P-value Recipient sex (Male vs. female) 58/30 (65.9%) 13/2 (86.7%) 0.138 Recipient age (years) 52 (44–57) 53 (47–59) 0.443 Previous transplant Living donor Deceased donor Retransplant Living donor Deceased donor 24 (27.3%) 64 (72.7%) - 88 (100.0%) 4 (26.7%) 11 (73.3%) 12 (80.0%) 3 (20.0%) 1.000 < 0.001 Etiology (Hepatitis B virus vs. others) Hepatitis B virus Hepatitis C virus Alcohol Others 48 (54.5%) 2 (2.3%) 12 (13.6%) 26 (29.5%) 8 (53.3%) 3 (20.0%) - 4 (26.7%) 0.931 Reason for re-transplantation (acute vs. other) Acute graft dysfunction Primary nonfunction Secondary graft nonfunction Subacute or chronic graft dysfunction Biliary complication Chronic rejection Ischemic damage of graft HBV recurrence Alcoholic cirrhosis HCC recurrence 39/49 (44.3%) 19 (21.6%) 20 (22.7%) 18 (20.5%) 23 (26.1%) 3 (3.4%) 3 (3.4%) 2 (2.3%) - 5/10 (33.3%) 3 (20.0%) 2 (13.3%) 1 (6.7%) 3 (20.0%) 1 (6.7%) 1 (6.7%) - 3 (20.0%) 0.427 Median days after previous transplantation (IQR) 218 (9.25–1151) 337 (22-1748) 0.352 Hepatocellular carcinoma 31 (35.6%) 6 (40.0%) 0.745 Pre-transplant albumin Pre-transplant total bilirubin Pre-transplant prothrombin time, INR Pre-transplant creatinine MELD score 3.0 (2.8–3.3) 21.0 (10.1–35.9) 2.10 (1.48–3.03) 1.7 (1.0-2.9) 34 (28–40) 3.2 (2.9–3.4) 18.1 (5.7–37.7) 1.70 (1.14–2.31) 1.4 (0.7–3.1) 29 (14–39) 0.095 0.575 0.073 0.379 0.123 Hepatic encephalopathy Variceal bleeding Ascites Hepatorenal syndrome Spontaneous bacterial peritonitis Ventilator care Pretransplant inotropics Pretransplant hospitalization 20 (22.7%) 3 (3.4%) 37 (42.0%) 44 (50.0%) 6 (6.8%) 19 (21.6%) 27 (31.8%) 82 (93.2%) 2 (13.3%) 2 (13.3%) 7 (46.7%) 6 (40.0%) - 3 (20.0%) 4 (26.7%) 9 (60.0%) 0.516 0.153 0.738 0.474 0.589 1.000 0.772 < 0.001 Donor sex (Male vs. female) 54/34 (61.4%) 10/5 (66.7%) 0.696 Donor age 49 (37–59) 53 (32–55) 0.694 Graft weight Graft-recipient weight ratio 1418 (1204–1604) 2.22 (1.90–2.66) 718 (614–958) 1.10 (0.92–1.66) < 0.001 < 0.001 Warm ischemic time Cold ischemic time 32 (26–41) 295 (247–395) 34 (29–46) 86 (59–152) 0.347 < 0.001 Table 4 Comparisons of post-transplantation management and outcome between retransplantion patients according to their graft types. Retransplantation with whole liver (n = 88) Retransplantation with partial liver (n = 15) P-value Basiliximab induction Induction therapy other than steroid None None due to recent induction with previous LT Single dose of 20mg basiliximab 40mg of basiliximab divided by two doses Antithymocyte globulin 48 (58.5%) 17 (20.2%) 17 (20.2%) 13 (15.5%) 35 (41.7%) 2 (2.4%) 10. (71.4%) 3 (21.4%) 1 (7.1%) 1 (7.1%) 9 (64.3%) - 0.555 0.425 Day of tacrolimus initiation, median Mean trough level of tacrolimus during 1 month Day of mycophenolate mofetil initiation, median Median daily dosage of mycophenolate mofetil Median daily dosage of methylprednisolone 5 (3–6) 5.7 (4.2–7.1) 2 (1–4) 411 (111–763) 56 (50–74) 4 (3–5) 6.7 (5.5–11.1) 1 (1–3) 406 (83–687) 67 (55–74) 0.122 0.068 0.223 0.805 0.288 Infection of any type within 1 month Pneumonia within 1 month Bacterial pneumonia Aspergillus pneumonia Viral pneumonia Intra-abdominal infection within 1 month CMV antigenemia within 1 month CMV count, median (/200,000) Blood borne infection Bacteremia Candidemia Viremia other than CMV 42 (52.5%) 8 (10.0%) 6 (7.5%) 1 (1.2%) 20 (25.0%) 53 (64.6%) 7 (0–41) 11 (13.8%) 3 (3.8%) 1 (1.2%) 8 (57.1%) 3 (21.4%) 1 (7.1%) - 4 (28.6%) 10 (71.4%) 14 (0–46) 2 (14.3%) - 1 (7.1%) 0.748 0.461 0.360 0.340 1.000 0.749 0.765 0.728 Recipient 30-day complication Clavien-Dindo classification None Grade I/II Grade III Grade IV/V 71 (80.7%) 17 (19.3%) 12 (13.6%) 30 (34.1%) 29 (33.0%) 12 (80.0%) 3 (20.0%) 2 (13.3%) 5 (33.3%) 5 (33.3%) 1.000 0.982 Graft failure Death 30 (34.1%) 44 (50.0%) 4 (26.7%) 11 (73.3%) 0.768 0.160 Death due to acute graft dysfunction Primary nonfunction Secondary graft dysfunction Other causes of death Chronic graft rejection Acute graft rejection Hypovolemic shock Infection, pulmonary Infection, intra-abdominal Graft-versus-host disease Progression of hepatocellular carcinoma De novo malignancy Neurologic accident Accidental outside hospital 9 (20.5%) 5 (11.4%) 3 (6.8%) 2 (4.5%) 4 (9.1%) 6 (13.6%) 6 (13.6%) 2 (4.5%) 2 (4.5%) 1 (2.3%) 4 (9.1%) - 2 (18.2%) - 1 (9.1%) - 2 (18.2%) 1 (9.1%) 3 (27.3%) - 1 (9.1%) - - 1 (9.1%) 1.000 0.056 Table 5 Multivariable Cox analysis of potential risk factors for graft survival and overall survival in patients with retransplantation. variables n Graft survival Overall survival Univariable Univariable Multivariable (final model) HR CI P HR CI P HR CI P GRWR 0.894 0.507–1.578 0.700 0.650 0.415–1.018 0.060 GRWR < 1.0% 6 1.607 0.377–6.855 0.521 4.243 1.758–10.241 0.001 3.668 1.150-11.698 0.028 Living donor for first transplant 75 0.994 0.446–2.218 0.989 1.016 0.552–1.871 0.958 Living donor for retransplant 12 1.068 0.375–3.038 0.902 1.748 0.853–3.583 0.127 Acute dysfunction (against chronic) 44 1.204 0.613–2.367 0.589 0.956 0.556–1.643 0.870 Days between transplantations ≥ 30 days 70 1.208 0.577–2.530 0.616 1.456 0.793–2.674 0.226 Partial graft (against whole) 15 0.814 0.286–2.318 0.700 1.700 0.874–3.305 0.118 MELD score 1.006 0.967–1.047 0.767 1.019 0.986–1.053 0.258 Male recipient (vs. female) 71 0.712 0.349–1.453 0.351 1.246 0.686–2.264 0.470 Recipient age ≥ 60 years 19 0.737 0.284–1.916 0.532 1.400 0.735–2.668 0.306 Hepatocellular carcinoma 37 0.796 0.387–1.635 0.534 0.981 0.568–1.693 0.944 Hepatic encephalopathy 22 1.334 0.602–2.957 0.478 1.728 0.939–3.182 0.079 Hepatorenal syndrome 50 0.944 0.473–1.884 0.870 1.107 0.643–1.908 0.714 Pretransplant ventilator care 22 1.551 0.720–3.341 0.262 1.974 1.099–3.548 0.023 2.004 0.904–4.442 0.087 Prehospitalization 91 2.106 0.503–8.806 0.308 1.532 0.611–3.844 0.363 Pretransplant inotropics 32 1.126 0.548–2.314 0.747 1.237 0.697–2.195 0.468 Simulect induction 58 0.601 0.286–1.263 0.179 0.990 0.557–1.760 0.973 Mean daily FK trough level ≥ 9 ng/mL 9 3.692 1.288–10.587 0.015 2.879 1.251–6.625 0.013 2.935 1.195–7.211 0.019 Mean daily MMF dosage ≥ 500mg 34 1.009 0.454–2.240 0.983 1.002 0.555–1.807 0.996 Male donor (vs. female) 64 1.145 0.566–2.316 0.706 1.123 0.647–1.948 0.680 Liver transplantation LT; Liver retransplantation reLT; Renal replacement therapy RRT; Model for End-stage Liver Disease MELD; Graft-recipient weight ratio GRWR Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 07 Aug, 2023 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Major revision 02 May, 2023 Reviews received at journal 16 Apr, 2023 Reviewers agreed at journal 12 Apr, 2023 Reviewers invited by journal 21 Mar, 2023 Editor assigned by journal 21 Mar, 2023 Editor invited by journal 09 Mar, 2023 Submission checks completed at journal 09 Mar, 2023 First submitted to journal 14 Feb, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-2586332\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Article\",\"associatedPublications\":[],\"authors\":[{\"id\":182008454,\"identity\":\"5f335b9a-b88b-4592-8f3f-25b777ab0f8f\",\"order_by\":0,\"name\":\"Jinsoo Rhu\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Samsung Medical Center, Sungkyunkwan University School of Medicine\",\"correspondingAuthor\":false,\"submittingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Jinsoo\",\"middleName\":\"\",\"lastName\":\"Rhu\",\"suffix\":\"\"},{\"id\":182008455,\"identity\":\"4342f89f-52e9-4ea0-a466-867e8d362121\",\"order_by\":1,\"name\":\"Gyu-Seong Choi\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Samsung Medical Center, Sungkyunkwan University School of Medicine\",\"correspondingAuthor\":false,\"submittingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Gyu-Seong\",\"middleName\":\"\",\"lastName\":\"Choi\",\"suffix\":\"\"},{\"id\":182008456,\"identity\":\"669cb6cd-1de0-40ed-9d25-c6d4813cc5e7\",\"order_by\":2,\"name\":\"Jong Man Kim\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYFCCAxCKn5kZxJKQIV6LZDtbAkgLD/GWGZznMQDRhLUYHDx87OHXHLs8hsM8n1/dqLHgYWA/fHQDXi0HjqUby25LLmZs5t1mnXMM6DCetLQb+LWcMZOW3Mac2MzMu804hw2oRYLHjBgt9YltzDzPjHP+EalF8uO2w4k9zDzMj3PbiNAieeBYmjTjtuOJM5jZzJhz+yR42Aj5he/G4WOSP7dVJ+4/f/jx55xvdXL87IeP4dWicOMAAzM0LtgkwCQ+5SAg39/AwPgDwmb+QEj1KBgFo2AUjEwAALnFSxe6wn15AAAAAElFTkSuQmCC\",\"orcid\":\"\",\"institution\":\"Samsung Medical Center, Sungkyunkwan University School of Medicine\",\"correspondingAuthor\":true,\"submittingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Jong\",\"middleName\":\"Man\",\"lastName\":\"Kim\",\"suffix\":\"\"},{\"id\":182008457,\"identity\":\"36bc0411-4e90-4001-869c-4cd673b985c5\",\"order_by\":3,\"name\":\"Jae-Won Joh\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Samsung Medical Center, Sungkyunkwan University School of Medicine\",\"correspondingAuthor\":false,\"submittingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Jae-Won\",\"middleName\":\"\",\"lastName\":\"Joh\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2023-02-14 12:29:25\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-2586332/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-2586332/v1\",\"draftVersion\":[],\"editorialEvents\":[{\"content\":\"https://doi.org/10.1038/s41598-023-39007-7\",\"type\":\"published\",\"date\":\"2023-08-07T21:57:00+00:00\"}],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":34235343,\"identity\":\"3f9d1192-09d2-42bb-aba9-ad7bd367a107\",\"added_by\":\"auto\",\"created_at\":\"2023-03-14 14:39:54\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":127816,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eKaplan-meier survival curves of patients included. (A) Graft survivals and (B) overall survivals according to the first transplantation and retransplantation. (C) Overall survivals according to whole liver graft and partial liver graft in patients with first transplantation. (D) Overall survival curves according to whole liver graft and partial liver graft in patients with retransplantation.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Onlinefigure1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-2586332/v1/d6315cd88382c443baa6b506.png\"},{\"id\":34235344,\"identity\":\"554049d3-7053-4d42-a730-2a4641afecad\",\"added_by\":\"auto\",\"created_at\":\"2023-03-14 14:39:54\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":169415,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eKaplan-meier survival curves of retransplantation cases. (A) Graft survivals of retransplantation cases according to the first month post-LT mean FK trough level (B) and graft-recipient-weight ratio. (C) Overall survivals of retransplantation cases according to the first month post-LT mean FK trough level (D) and graft-recipient-weight ratio.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Onlinefigure2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-2586332/v1/642f6785508a6ad0d16f9b4a.png\"},{\"id\":44735104,\"identity\":\"1d1aa95b-9bd3-4fe4-b87e-4f31919a1c2b\",\"added_by\":\"auto\",\"created_at\":\"2023-10-16 22:23:41\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":841224,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-2586332/v1/82b28a9a-51cf-49e9-a55e-9689615ac5d1.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"Graft-recipient-weight ratio and lowered immunosuppression is important for the success of adult liver retransplantation: 25-year single center experience\",\"fulltext\":[{\"header\":\"INTRODUCTION\",\"content\":\"\\u003cp\\u003eAlthough liver transplantation (LT) can provide excellent cure for end-stage liver disease and malignancies such as hepatocellular carcinoma, there are still patients who require liver retranplantation (reLT) due to acute graft dysfunction, rejection, relapse of the original disease, de novo liver disease or other causes. However, many LT recipients who require reLT fails to receive another liver graft and only certain proportion of recipients with graft failure undergo reLT. The proportion of reLT, therefore, varies around 5\\u0026ndash;22%, differing by the regions where LT is performed.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e\\u003c/sup\\u003e Since reLT is quite rare, published studies were relatively small-sized and only recently, a number of studies using multicenter data were published.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e,\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e The data reported showed inferior outcome of reLT compared to first LTs. Reported factors related to outcome were Model for End-stage Liver Disease (MELD) score, donor age, durations between LTs, and intensive care unit admission at the time of LT.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e The study published by Mezochow et al. focused on the intensity of immunosuppression in reLT recipients but failed to distinguish statistically meaningful outcome.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e The previously published studies mainly had two limitations. Single-center study can be limited by the low number of cases included leading to lower statistical power and weak generalizability. On the other hand,, a multicenter study using a national registry can gain statistical power while lack of detailed data can midlead the conclusion by not adjusting for the heterogenous background. In this study, we summarized our single center experience over 25 years, and focused on the risk of reLT compared to first LT, potential risk factors for prognosis in reLT recipients, and our detailed management and its result to find a meaningful information on this rare but devastating patient group.\\u003c/p\\u003e\\n\"},{\"header\":\"METHODS\",\"content\":\"\\u003cp\\u003e\\u003cem\\u003ePatients and data\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLTs for adult recipients performed from 1996 to October 2021 at Samsung Medical Center were included. Pediatric LTs were excluded from the study. Donor and recipient data were comprehensively reviewed from our prospectively maintained database especially focusing on reLT patients. Recipient\\u0026rsquo;s complications that occurred within 30 days post-LT were collected and categorized according to Clavien-Dindo classification.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e\\u003c/sup\\u003e Data on graft survival and overall survival were collected.\\u003c/p\\u003e\\n\\u003cp\\u003ePatients with retransplantation\\u003c/p\\u003e\\n\\u003cp\\u003eReason for reLT as well as cause of death were reviewed in detail. The reasons for reLT were categorized into acute graft dysfunction and subacute or chronic graft dysfunction. To categorize cases into acute and subacute or chronic, days after the prior LT were calculated and medical charts were reviewed for detailed history. Acute graft dysfunction included primary nonfunction and secondary graft dysfunction which showed failure of engraftment after prior LT. On the other hand, subacute or chronic graft dysfunction were defined as cases in which the graft showed graft failure after successful engraftment which can be judged by normalizing liver chemistries after prior LT. Whether the recipients were under ventilator care or infusion of inotropic agents for management of shock.\\u003c/p\\u003e\\n\\u003cp\\u003eTo review how the reLT recipients were managed by the medical team, use of immunosuppressants were also collected. Use of induction therapy and maintenance regimen during the first month after reLT were collected. The initiation day after reLT as well as the mean trough level of tacrolimus after reLT were calculated. The initiation day after reLT of mycophenolate mofetil and the median daily dosage were calculated. The medican daily dosage of steroid were also calculated.\\u003c/p\\u003e\\n\\u003cp\\u003eInfection episodes occurring during the first month after reLT were reviewed. Respiratory infections were subdivided into bacterial pneumonia, aspergillus pneumonia and viral pneumonia. Intra-abdominal infection was defined as culture-positive drain with signs of infection based on blood chemistry and computed tomography of the abdomen. Although cytomegalovirus (CMV) antigenemia was not included in infection episode, positivity of the test as well as CMV count among 200,000 copies were reviewed.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eStatistical analysis\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eFor the entire patient cohort, statistical analyses were performed focusing on the prognosis of reLT compared to first LT. Comparison of baseline characteristics as well as outcome between first LT and reLT were performed. Comparisons were performed based on cases performed, but not based on patients. Furthermore, comparison between reLT patients with partial liver graft and whole liver graft was performed.\\u003c/p\\u003e\\n\\u003cp\\u003eKaplan-meier survival analyses with log-rank test were performed to analyze graft survival and overall survival. Multivariable Cox analyses were performed to analyze potential risk factors for graft survival and overall survival. In the subgroup analysis including reLT patients, graft-recipient-weight ratio (GRWR) was divided into two groups with a cutoff of 1% while first month mean serum tacrolimus trough level was divided with a cutoff of 9 ng/mL where it showed the lowest P-value.\\u003c/p\\u003e\\n\\u003cp\\u003eNumerical variables of each group were compared using Student\\u0026rsquo;s t-test or Mann-Whitney test and expressed as mean\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;standard deviation or median (interquartile range, IQR), respectively. Categorical variables divided into two components were compared using chi-square test or Fisher\\u0026rsquo;s exact test. Statistical analysis was executed using Statistical Package for Social Sciences (SPSS) version 22.0 (IBM Corp., Armonk, NY, USA). This study was approved by the Institutional Review Board of Samsung Medical Center (IRB No. 2022-03-097) and the study was performed in accordance with relevant guidelines and regulations. This study did not include human participants and informed consent was waived by the institutional review board of Samsung Medical Center.\\u003c/p\\u003e\\n\"},{\"header\":\"Results\",\"content\":\"\\u003cp\\u003eDuring the study period, a total of 2392 recipients underwent 2513 LTs at Samsung Medical Center. After excluding 258 pediatric recipients who underwent 276 LTs, 2237 LTs of 2135 adult recipients were included to the study. Among these cases, 2134 first LTs were performed by 2134 recipients while one patient who underwent first LT at a different institution received retransplantation at Samsung Medical Center. Among 2134 recipients, 99 recipients received second transplantation and four of them underwent third LT afterwards.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eComparison between first LT and reLT\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eTable\\u0026nbsp;1 summarizes the comparison between first LT group (n\\u0026thinsp;=\\u0026thinsp;2134) and reLT group (n\\u0026thinsp;=\\u0026thinsp;103). In general, the two groups showed significant differences in recipient-, donor-, and also outcome-related variables. Proportion of hepatitis B virus was prominent in first LT group (66.7% vs. 54.4%, P\\u0026thinsp;=\\u0026thinsp;0.010). Hepatocellular carcinoma rate was also higher in the first LT group. (52.3% vs. 36.3%, P\\u0026thinsp;=\\u0026thinsp;0.002) Regarding pre-transplant chemistries, the reLT group showed more disease profile including serum albumin (P\\u0026thinsp;=\\u0026thinsp;0.008), serum total bilirubin (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001), prothrombin time (P\\u0026thinsp;=\\u0026thinsp;0.002) and serum creatinine. (P\\u0026thinsp;=\\u0026thinsp;0.001) Pre-transplant variceal bleeding showed higher rate in the first LT group (16.3% vs. 4.9%, P\\u0026thinsp;=\\u0026thinsp;0.001) as well as ascites. (59.5% vs. 42.7%, P\\u0026thinsp;=\\u0026thinsp;0.001) However, hepatorenal syndrome rate was higher in the reLT group (12.7% vs. 48.5%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) as well as pre-transplant ventilator care (4.4% vs. 21.4%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) mean MELD score (20.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;11.6 vs. 32.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;8.8, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) and Child-Turcot-Pugh (CTP) score was highger in the reLT group. (9.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.7 vs. 10.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.0, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001)\\u003c/p\\u003e\\n\\u003cp\\u003eMajority of reLT recipients received their grafts from deceased donor (88.3%) while only 23.3% of cases were performed as deceased donor LT in the first LT group. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) Donor age was significantly higher in the reLT group (46.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;15.2 years) compared to the first LT group (36.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;14.1 years, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001). While ABO incompatible LTs comprised 10.5% of the first LT group, only 1.9% of cases were ABO incompatible in the reLT group. (P\\u0026thinsp;=\\u0026thinsp;0.002) Mean graft weight (849\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;343g vs. 1316\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;375g, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) and GRWR (1.28\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.55% vs. 2.11\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.67%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) were higher in the reLT group. Whole liver graft transplantation was prominently performed in the reLT group (86.3%) compared to the first LT group. (22.5%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001)\\u003c/p\\u003e\\n\\u003cp\\u003ePatient outcomes were poorer in the reLT group, including 30-day complication rate (50.6% vs. 80.6%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) as well as the severity classified by Clavien-Dindo classification. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) Graft failure rate (8.6% vs. 33.0%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) and mortality rate (25.6% vs. 53.4%, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) were both higher in the reLT group.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eGraft survival and overall survival\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eKaplan-Meier survival analyses with log-rank tests were performed to compare graft survival and overall survival of first LT group and reLT group as well as the difference between types of liver grafts in the subgroups with first LT group and the reLT group. (Fig.\\u0026nbsp;1) The 1-year, 5-year, and 10-year graft survivals of the first LT group and the reLT group were 94.2%, 90.7%, 88.1% and 69.1%, 59.3%, 50.8%, respectively. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) The 1-year, 5-year, and 10-year overall survivals of the first LT group and the reLT group were 86.4%, 74.7%, 67.9% and 50.0%, 41.3%, 41.3%, respectively. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) To evaluate the impact of partial liver and whole liver graft, overall survivals were analyzed in two separate subgroups. In patients with first LT, partial liver graft showed better overall survival compared to the whole liver graft. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) On the other hand, in patients with reLT, partial liver graft showed inferior survival curve without statistical significance. (P\\u0026thinsp;=\\u0026thinsp;0.113)\\u003c/p\\u003e\\n\\u003cp\\u003eMultivariable Cox analyses were performed to identify significant risk factors for prognosis. (Table\\u0026nbsp;2) ReLT (HR\\u0026thinsp;=\\u0026thinsp;3.439, CI\\u0026thinsp;=\\u0026thinsp;2.230\\u0026ndash;5.304, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) was a significant risk factor for poor graft survival along with MELD score (HR\\u0026thinsp;=\\u0026thinsp;1.020, CI\\u0026thinsp;=\\u0026thinsp;1.007\\u0026ndash;1.033, P\\u0026thinsp;=\\u0026thinsp;0.002) and donor age (HR\\u0026thinsp;=\\u0026thinsp;1.021, CI\\u0026thinsp;=\\u0026thinsp;1.011\\u0026ndash;1.032, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001). ReLT (HR\\u0026thinsp;=\\u0026thinsp;2.905, CI\\u0026thinsp;=\\u0026thinsp;2.089\\u0026ndash;4.040, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) showed significant relationship to overall survival along with recipient age\\u0026thinsp;\\u0026ge;\\u0026thinsp;60 years (HR\\u0026thinsp;=\\u0026thinsp;1.473, CI\\u0026thinsp;=\\u0026thinsp;1.207\\u0026ndash;1.797, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001), hepatorenal syndrome (HR\\u0026thinsp;=\\u0026thinsp;1.437, CI\\u0026thinsp;=\\u0026thinsp;1.083\\u0026ndash;1.907, P\\u0026thinsp;=\\u0026thinsp;0.012), and pretransplant albumin (HR\\u0026thinsp;=\\u0026thinsp;1.227, CI\\u0026thinsp;=\\u0026thinsp;1.147\\u0026ndash;1.314, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) were significant factor related to overall survival.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eComparison between reLT patients with whole liver graft and whole liver graft\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eTable\\u0026nbsp;3 summarizes the comparison of background characteristics between reLT patients with whole liver graft and partial liver graft. Among 103 reLT cases, whole liver was transplanted in 88 cases (85.4%) while partial liver was transplanted in 15 cases. (14.6%) While there were no difference in the type of donor for previous transplant, (27.3% living donor in whole liver group vs. 26.7% living donor in partial liver group, P\\u0026thinsp;=\\u0026thinsp;1.000) significant difference was present in donor type during reLT. (100.0% deceased donor in whole liver group vs. 20.0% deceased donor in partial liver group, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) Hospitalization prior to reLT was significantly different between the two groups. (93.2% in whole liver group vs. 60.0% in partial liver group, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) Median graft weight (1418 g, IQR 1204\\u0026ndash;1604 in whole liver group vs. 718 g, IQR 614\\u0026ndash;958 in partial liver group, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) as well as median GRWR (2.22%, IQR 1.90\\u0026ndash;2.66 in whole liver group vs. 1.10%, IQR 0.92\\u0026ndash;1.66 in partial liver group, P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001) were significantly different between the two groups.\\u003c/p\\u003e\\n\\u003cp\\u003eTable\\u0026nbsp;4 summarizes the comparisons regarding posttransplant management and transplantation outcome between the two groups. There were no significant difference between the two groups regarding proportion of induction therapy as well as the intensity. (P\\u0026thinsp;=\\u0026thinsp;0.555 and P\\u0026thinsp;=\\u0026thinsp;0.425) There was a trend toward significance regarding mean trough level of serum tacrolimus during 1st month. Median mean FK trough level was 6.7 ng/mL (IQR 5.5\\u0026ndash;11.1) in the partial liver group while that of whole liver group was 5.7 ng/mL (IQR 4.2\\u0026ndash;7.1, P\\u0026thinsp;=\\u0026thinsp;0.068).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eGraft survival and overall survival in reLT patients\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eGraft survivals and overall survivals were analyzed using Kaplan-meier log-rank test according to GRWR\\u0026thinsp;\\u0026lt;\\u0026thinsp;1.0% and mean daily FK trough level\\u0026thinsp;\\u0026ge;\\u0026thinsp;9 ng/mL in reLT patients. (Fig.\\u0026nbsp;2) Based on log-rank test, graft survival (P\\u0026thinsp;=\\u0026thinsp;0.009) and overall survival (P\\u0026thinsp;=\\u0026thinsp;0.009) showed significant difference according to the mean daily FK trough level of \\u0026ge;\\u0026thinsp;9 ng/mL. While GRWR\\u0026thinsp;\\u0026lt;\\u0026thinsp;1% was not significantly related to graft survival difference (P\\u0026thinsp;=\\u0026thinsp;0.514), it showed significant difference in overall survival. (P\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001)\\u003c/p\\u003e\\n\\u003cp\\u003eMultivariable Cox analysis of potential risk factors for graft survival and overall survival in reLT patients were analyzed. (Table\\u0026nbsp;5) In the univariable analyses for graft survival, only mean daily FK trough level\\u0026thinsp;\\u0026ge;\\u0026thinsp;9 ng/mL (HR\\u0026thinsp;=\\u0026thinsp;3.692, CI\\u0026thinsp;=\\u0026thinsp;1.288\\u0026ndash;10.587, P\\u0026thinsp;=\\u0026thinsp;0.015) was related to poor graft survival. Regarding overall survival, GRWR\\u0026thinsp;\\u0026lt;\\u0026thinsp;1.0% (HR\\u0026thinsp;=\\u0026thinsp;3.668, CI\\u0026thinsp;=\\u0026thinsp;1.150-11.698, P\\u0026thinsp;=\\u0026thinsp;0.028) and mean daily FK trough level\\u0026thinsp;\\u0026ge;\\u0026thinsp;9 ng/mL (HR\\u0026thinsp;=\\u0026thinsp;2.935, CI\\u0026thinsp;=\\u0026thinsp;1.195\\u0026ndash;7.211, P\\u0026thinsp;=\\u0026thinsp;0.019) were significantly related to poor overall survival.\\u003c/p\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cp\\u003eAlthough the outcome of LT is improving, certain proportion of recipients experience graft failure which requires reLT. Unlike first LT which shows excellent outcome, reLT generally shows poor outcome in that the recipient is already immunocompromised due to the use of immunosuppressants, comorbid condition before transplantation and also due to the surgical difficulties made by adhesions after the first LT.\\u003c/p\\u003e\\n\\u003cp\\u003eThe main findings of this study are reconfirmation of the morbid outcome of reLT and the confirmation of the importance of GRWR and lowered immunosuppression in reLT recipients. Although the survival outcome varies among published studies, all the studies reported poor outcome compared to first LT. Our data showed relatively poor outcome compared to other literatures maybe due to poor patient condition at the time of reLT.\\u003c/p\\u003e\\n\\u003cp\\u003eOur 25-year single center experience on reLT showed 5% (n\\u0026thinsp;=\\u0026thinsp;121) of reLT among 2392 recipients. Other published study reported reLT rates ranging from 5 to 22%.\\u003csup\\u003e2,3,6,9\\u003c/sup\\u003e Acute graft dysfunction after prior LT comprised 42.7% (n\\u0026thinsp;=\\u0026thinsp;44) of total reLT case while subacute or chronic graft dysfunction comprised 57.3% (n\\u0026thinsp;=\\u0026thinsp;59). Primary nonfunction (n\\u0026thinsp;=\\u0026thinsp;22, 21.4%) was diagnosed when the graft failed to function properly without evident vascular compromisation. Secondary graft nonfunction (n\\u0026thinsp;=\\u0026thinsp;22, 21.4%) was diagnosed when the graft failed to function due to vascular complication or ischemic damage due to shock of any reason. In the study by Kuramitsu et al., indications for reLT were vascular (8.1%), small-for-size syndrome (1.6%) and unknown in 28.5%. Although data were imperfect due to the study\\u0026rsquo;s limitation using national registry, rejection (26.0%), recurrence (29.3%) and bile duct complications (6.5%) comprised 61.8% of cases which was similar to our study.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u003c/sup\\u003e A single center study published by Marudanayagam et al. reported similar data although primary nonfunction (10.7%), hepatic artery thrombosis (31.1%) and graft infarction (13.2%) comprised 55.0% which is a little higher than our data.\\u003c/p\\u003e\\n\\u003cp\\u003eHowever, our study showed different demographics especially on how the reLT was performed. The median MELD score of our recipients was 34 (IQR 26\\u0026ndash;40) and 88.3% (n\\u0026thinsp;=\\u0026thinsp;91) of the recipients received their graft from deceased donors. The study by Marudanayagam et al. reported only deceased donor liver transplantation and the multicenter study of Japan also showed living donor dominance (73.2%) during reLT. The median MELD score was 22.3 (range 6\\u0026ndash;40) in the study by Marudanayagam et al. and ranged 26 to 30 in the study by Mezochow et al., which reported 3483 adult reLT recipients from the United Network for Organ Sharing database.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e These differences show that although the background history of reLT is similar, the clinical course differ between countries with different regulation and culture. Unfortunately, our data showed that LT recipients who require reLT do not have plenty of other option but to wait for allocation with a deceased donor of which the chance is relatively lower than other countries due to the shortage of organ donation from deceased donors. Consequently, patients who require reLT only be allocated after their conditions become more worse, which is represented by high RRT rate at the time of reLT (45.6%) compared to 17.3% in the study by Mezochow et al.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eIn this study, we reviewed the data on immunosuppression. The main induction regimen except for steroid is basiliximab in our institution. Except for two cases with antithymocyte globulin, basiliximab was used. Categorizing the use of induction regimen was difficult since certain proportion of patients underwent reLT in a short period from their prior LT. A total of 38 cases (36.9%) were performed without an induction regimen except for steroid. Among them, 18 cases were due to the short term use of induction regimen from prior LT. This is in fact quite high when we compare it to the study by Mezochow et al. which reported 80.4% of no induction rate.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e\\u003c/sup\\u003e In the study, they reported that depleting induction marginally improved post-reLT mortality (HR\\u0026thinsp;=\\u0026thinsp;0.77, CI\\u0026thinsp;=\\u0026thinsp;0.61\\u0026ndash;0.99, P\\u0026thinsp;=\\u0026thinsp;0.08) However, interpreting these data require caution in that the intensity of immunosuppression must have been adjusted for each patient based on their clinical condition. Although there was no statistical difference in the immunosuppression between reLT with partial liver graft and whole liver graft, the partial liver graft group showed higher rate of basiliximab induction. Furthermore, initiation date was earlier and mean trough level of tacrolimus was higher. The background characteristics of reLT group with partial liver graft generally shows better pretransplant condition compared to the whole liver group in regards of liver chemistries and pretransplant hospitalization. These data shows that intensity of immunossupression was adjusted for morbid patients. In the absence of direct parameter for the net state of immunosuppression, lowering the intensity of immunosuppression in reLT recipients seem to be a safe approach when combined with the finding that high FK trough level was related to poor outcome.\\u003c/p\\u003e\\n\\u003cp\\u003eGRWR showed conflicting outcomes in first LT recipients and reLT recipients. While higher GRWR being related to poor outcome in the univariable analyses of entire cohort, caution is required not to interpret the result without any consideration on selection bias. Low GRWR, which is related to living donor LT, are cautiously selected for adequate graft volume, therefore it is highly unlikely our data might have showed any evidence of low GRWR showing inferior outcome. On the other hand, the GRWR in relation to reLT cases showed opposite finding. Although GRWR failed to show statistical significance as a continuous variable in overall survival, GRWR less than 1% showed highly morbid outcome even after adjustment for the confounding variables. While GRWR of 1% generally is considered adequate for successful LT, the results devastating in reLT patients. The six patients with reLT using a graft with GRWR less than 1%, all expired after the transplantation. When the cutoff was elevated to 1.2%, 90.9% (10 out of 11 reLT cases) expired after reLT.\\u003c/p\\u003e\\n\\u003cp\\u003eTo avoid poor outcome in reLT, some strategies can be recommended. When the patient requires reLT, it is best to perform reLT when the patient is in their best condition. However, shortage of organ donation can limit this strategy, and living donor LT can be a solution in selected cases. This strategy can be implicated by the higher proportion of living donor LT in the Japanese national cohort study. However, deceased donor LT outweighted living donor LT in adult patients (61.0%) in the Japanese study, showing it can be only achieved in selected patients in contrast to pediatric reLTs. (16.2% deceased donor LT) The study by Kuramitsu et al. concluded that graft failure within a year should be thoroughly restricted to justify the use of living donors based on their result of worse outcome compared to graft failure exceeding 365 days.\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u003c/sup\\u003e The outcome was reproduced in the study of Mezochow et al., showing poor outcome in reLT timing between 91 to 365 days. (HR 1.41, CI\\u0026thinsp;=\\u0026thinsp;1.19\\u0026ndash;1.67) However, our study did not find a statistically significant outcome related to duration between LTs. Therefore, deciding whether to perform living donor LTs for patients who are available for their family members for living donation based on the timing of graft failure needs to be reconsidered and managed as an individualized approach. Given the information that reLT is related to worse outcome compared to first LT, building up a system to give advantage in deceased donor allocation can be a solution, while ethical issue for apportioning a public matter to a person who already received the benefit can be a conflicting issue. For preparing surgery for reLT patients, patient conditioning for the best operation can be needed since hypovolemic shock due to massive bleeding can compromise the allograft. The intensity of immunosuppression is also a key factor. A total of 15.5% (n\\u0026thinsp;=\\u0026thinsp;16) of reLT recipients expired due to infection. Infectious condition prior to reLT can also influence graft failure. Although 11.5% of deaths were related to graft rejection after reLT, decreasing the intensity of immunosuppression in the early period can be justified since all four patients died for chronic rejection survived more than two years after reLT. (Median 44.1 months, range 25.5\\u0026ndash;88.9 months) Lowering the immunosuppression in the initial period and gradually elevating the intensity after patient stabilization can be a good strategy in the long term.\\u003c/p\\u003e\\n\\u003cp\\u003eThe limitation of this study is that it is a retrospective single-center study. However, regarding reLT, prospective trial is unrealistic. Although some studies based on multicenter registries have been published, the details in the data are lacking which can make the readers confused. One example is the study by Mezochow et al., showing marginal benefit of depleting induction regimen. Experienced transplant clinician would interpret the result cautiously by distinguishing the true cause and consequence while some readers might conclude that depleting regimen can be the key for better management. On the other hand, our study could collect the data in more detail, especially during the first month after reLT. We demonstrated that nearly half (n\\u0026thinsp;=\\u0026thinsp;50, 48.5%) of the reLT recipients experienced tissue-invasive infection as well as viremia represented by cytomegalovirus antigenemia. (n\\u0026thinsp;=\\u0026thinsp;63, 61.2%) A comprehensive review of our reLT patient cohort made it possible to find clues in managing reLT recipients.\\u003c/p\\u003e\\n\\u003cp\\u003eTo summarize our data on reLT patients, it is important to acknowledge that reLT patients are at high risk of mortality after LT compared to first LT. For these specific group of patients, liver graft with plenty of GRWR should be chosen with minimizing immunosuppression in the initial period.\\u003c/p\\u003e\\n\"},{\"header\":\"Abbreviations\",\"content\":\"\\u003cp\\u003eLiver transplantation \\u003cstrong\\u003eLT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLiver transplantation \\u003cstrong\\u003ereLT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eModel for End-stage Liver Disease \\u003cstrong\\u003eMELD\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eRenal replacement therapy \\u003cstrong\\u003eRRT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eCytomegalovirus \\u003cstrong\\u003eCMV\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eInterquartile range \\u003cstrong\\u003eIQR\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eChild-Turcot-Pugh \\u003cstrong\\u003eCTP\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eGraft-recipient weight ratio \\u003cstrong\\u003eGRWR\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eWord count: 3,686\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eAbbreviations\\u003c/p\\u003e\\n\\u003cp\\u003eLiver transplantation \\u003cstrong\\u003eLT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLiver transplantation \\u003cstrong\\u003ereLT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eModel for End-stage Liver Disease \\u003cstrong\\u003eMELD\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eRenal replacement therapy \\u003cstrong\\u003eRRT\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eCytomegalovirus \\u003cstrong\\u003eCMV\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eInterquartile range \\u003cstrong\\u003eIQR\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eChild-Turcot-Pugh \\u003cstrong\\u003eCTP\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eGraft-recipient weight ratio \\u003cstrong\\u003eGRWR\\u003c/strong\\u003e\\u003c/p\\u003e\\n\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003eFunding: There is no funding related to this study\\u003c/p\\u003e\\n\\u003cp\\u003eConflict of interest: there are no conflicts of interest related to the article.\\u003c/p\\u003e\\n\\u003cp\\u003eData availability statement: The data related to this study can be provided to whom requests after achievement of approval by the corresponding author (Jong Man Kim) by requesting review for data availability to the institutional ethical review board of Samsung Medical Center.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAcknowledgements\\u003c/strong\\u003e: This research was supported by the Basic Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2022R1F1A1074375)\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\u003cli\\u003e\\u003cspan\\u003eChen, G. 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L. \\u0026amp; Bittermann, T. Differences in Early Immunosuppressive Therapy Among Liver Retransplantation Recipients in a National Cohort. Transplantation 105, 1800\\u0026ndash;1807. \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://doi.org/10.1097/TP.0000000000003417\\u003c/span\\u003e\\u003cspan address=\\\"10.1097/TP.0000000000003417\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e (2021).\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003ePfitzmann, R. \\u003cem\\u003eet al.\\u003c/em\\u003e Trends and experiences in liver retransplantation over 15 years. Liver Transpl 13, 248\\u0026ndash;257. \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://doi.org/10.1002/lt.20904\\u003c/span\\u003e\\u003cspan address=\\\"10.1002/lt.20904\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e (2007).\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSun, C. K. \\u003cem\\u003eet al.\\u003c/em\\u003e Retransplantation for end-stage liver disease: a single-center Asian experience. Transplant Proc 40, 2503\\u0026ndash;2506. \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://doi.org/10.1016/j.transproceed.2008.07.067\\u003c/span\\u003e\\u003cspan address=\\\"10.1016/j.transproceed.2008.07.067\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e (2008).\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eDindo, D. \\u0026amp; Clavien, P. A. What is a surgical complication? World J Surg 32, 939\\u0026ndash;941. \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://doi.org/10.1007/s00268-008-9584-y\\u003c/span\\u003e\\u003cspan address=\\\"10.1007/s00268-008-9584-y\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e (2008).\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eChen, G. H. \\u003cem\\u003eet al.\\u003c/em\\u003e A single-center experience of retransplantation for liver transplant recipients with a failing graft. Transplant Proc 40, 1485\\u0026ndash;1487. \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://doi.org/10.1016/j.transproceed.2008.01.076\\u003c/span\\u003e\\u003cspan address=\\\"10.1016/j.transproceed.2008.01.076\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e (2008).\\u003c/span\\u003e\\u003c/li\\u003e\\u003c/ol\\u003e\"},{\"header\":\" Tables\",\"content\":\" \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eComparison of baseline characteristics and transplantation-related outcome of liver transplantation recipients between first transplantation group and retransplantation group.\\u003c/div\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"5\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eFirst transplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;2134)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;103)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP-value\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"7\\\" rowspan=\\\"8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient-related variable\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient sex (Male vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1577/557 (73.9%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e71/32 (68.9%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.232\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient age (years)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e47.2\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;17.7\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e44.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;18.6\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.060\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHypertension\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDiabetes mellitus\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e274 (12.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e458 (21.5%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e8 (7.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e27 (26.2%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.130\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.253\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eEtiology (Hepatitis B virus vs. others)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatitis B virus\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatitis C virus\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAlcohol\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eOthers\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1414 (66.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e97 (4.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e321 (15.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e289 (13.6%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e56 (54.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5 (4.9%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (11.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e30 (29.1%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.010\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatocellular carcinoma\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1108 (52.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e37 (36.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.002\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant albumin\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant total bilirubin\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant prothrombin time, INR\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant creatinine\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.2\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.9\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e10.9\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;14.0\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.05\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.00\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.2\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.4\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e22.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;15.2\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.51\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.55\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.8\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.008\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.002\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatic encephalopathy\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eVariceal bleeding\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAscites\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatorenal syndrome\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSpontaneous bacterial peritonitis\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePretransplant ventilator care\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e501 (23.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e347 (16.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1269 (59.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e271 (12.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e204 (9.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e94 (4.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e22 (21.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5 (4.9%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e44 (42.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e50 (48.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6 (5.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e22 (21.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.620\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.204\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMELD score\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCTP score\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e20.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;11.6\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e9.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.7\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e32.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;8.8\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e10.3\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.0\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"6\\\" rowspan=\\\"7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDonor-related variable\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eType of transplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLiving donor\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeceased donor\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1636 (76.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e498 (23.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (11.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e91 (88.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDonor sex (Male vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1374/760 (64.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e64/39 (62.1%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.642\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDonor age (years)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e36.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;14.1\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e46.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;15.2\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eABO incompatibility\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e224 (10.5%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (1.9%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.002\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft weight\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft-recipient weight ratio\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e849\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;343\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.28\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.55\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1316\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;375\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.11\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.67\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eWarm ischemic time\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCold ischemic time\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e40.2\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;26.2\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e134\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;114\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e35.0\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;15.1\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e287\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;158\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.066\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft type (Whole vs. partial)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eWhole liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRight liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLeft liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRight posterior\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e475 (22.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1595 (75.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e36 (1.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (0.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e88 (86.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e14 (13.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"2\\\" rowspan=\\\"3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient outcome\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e30-day complication\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eNone\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade I/II\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade III\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade IV/V\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1079 (50.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1050 (49.2%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e315 (14.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e610 (28.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e159 (7.5%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e82 (80.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e20 (19.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e14 (13.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e35 (34.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e34 (33.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft failure\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e184 (8.6%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e34 (33.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeath\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e541 (25.6%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e55 (53.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003ctfoot\\u003e \\u003ctr\\u003e\\u003ctd colspan=\\\"5\\\"\\u003eModel for End-stage Liver Disease MELD; Child-Turcot-Pugh CTP\\u003c/td\\u003e\\u003c/tr\\u003e \\u003c/tfoot\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003cbr/\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab2\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 2\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMultivariable Cox analyses of potential risk factors for graft survival and overall survival of patients who underwent liver transplantation.\\u003c/div\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"14\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c7\\\" colnum=\\\"7\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c8\\\" colnum=\\\"8\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c9\\\" colnum=\\\"9\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c10\\\" colnum=\\\"10\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c11\\\" colnum=\\\"11\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c12\\\" colnum=\\\"12\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c13\\\" colnum=\\\"13\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c14\\\" colnum=\\\"14\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"2\\\" rowspan=\\\"3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003evariables\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\" morerows=\\\"2\\\" rowspan=\\\"3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003en\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"6\\\" nameend=\\\"c8\\\" namest=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft survival\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"6\\\" nameend=\\\"c14\\\" namest=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eOverall survival\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c5\\\" namest=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eUnivariable\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c8\\\" namest=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMultivariable (final model)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c11\\\" namest=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eUnivariable\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c14\\\" namest=\\\"c12\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMultivariable (final model)\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHR\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCI\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" 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char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.407\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.310\\u0026ndash;0.533\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.634\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.533\\u0026ndash;0.753\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c12\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.339\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c13\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.084\\u0026ndash;1.372\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c14\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.129\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMELD score\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.035\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.024\\u0026ndash;1.046\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.020\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.007\\u0026ndash;1.033\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.002\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.017\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.010\\u0026ndash;1.024\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c12\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.008\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c13\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.999\\u0026ndash;1.017\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c14\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.071\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMale recipient (vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1635\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.770\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.576\\u0026ndash;1.030\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.078\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.038\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.859\\u0026ndash;1.253\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.702\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c13\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c14\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient age\\u0026thinsp;\\u0026ge;\\u0026thinsp;60\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e509\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.029\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.738\\u0026ndash;1.435\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.867\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.424\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.180\\u0026ndash;1.718\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c12\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.473\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c13\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.207\\u0026ndash;1.797\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c14\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatocellular carcinoma\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1139\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.674\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.514\\u0026ndash;0.884\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.004\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.129\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.960\\u0026ndash;1.328\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.141\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c13\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c14\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e 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colname=\\\"c14\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGRWR\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.789\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.459\\u0026ndash;2.194\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.436\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.252\\u0026ndash;1.647\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c13\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c14\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGRWR\\u0026thinsp;\\u0026lt;\\u0026thinsp;1.0\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e672\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.656\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.477\\u0026ndash;0.902\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.009\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.758\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.630\\u0026ndash;0.912\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.003\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c13\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c14\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003ctfoot\\u003e \\u003ctr\\u003e\\u003ctd colspan=\\\"14\\\"\\u003eLiver transplantation LT; Liver retransplantation reLT; Renal replacement therapy RRT; Model for End-stage Liver Disease MELD; Graft-recipient weight ratio GRWR\\u003c/td\\u003e\\u003c/tr\\u003e \\u003c/tfoot\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003cbr/\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab3\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 3\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eComparisons of background characteristics between retransplantation patients according to their graft type.\\u003c/div\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"4\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e with whole liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;88)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ewith partial liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;15)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP-value\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient sex (Male vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e58/30 (65.9%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e13/2 (86.7%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.138\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient age (years)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e52 (44\\u0026ndash;57)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e53 (47\\u0026ndash;59)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.443\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePrevious transplant\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLiving donor\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeceased donor\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplant\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLiving donor\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeceased donor\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e24 (27.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e64 (72.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e88 (100.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (26.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e11 (73.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (80.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.000\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eEtiology (Hepatitis B virus vs. others)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatitis B virus\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatitis C virus\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAlcohol\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eOthers\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e48 (54.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (2.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (13.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e26 (29.5%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e8 (53.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (26.7%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.931\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eReason for re-transplantation (acute vs. other)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAcute graft dysfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePrimary nonfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSecondary graft nonfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSubacute or chronic graft dysfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eBiliary complication\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eChronic rejection\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eIschemic damage of graft\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHBV recurrence\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAlcoholic cirrhosis\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHCC recurrence\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e39/49 (44.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e19 (21.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e20 (22.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e18 (20.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e23 (26.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (3.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (3.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (2.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5/10 (33.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (13.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (6.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (6.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (6.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.427\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMedian days after previous transplantation (IQR)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e218 (9.25\\u0026ndash;1151)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e337 (22-1748)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.352\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatocellular carcinoma\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e31 (35.6%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6 (40.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.745\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant albumin\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant total bilirubin\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant prothrombin time, INR\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePre-transplant creatinine\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMELD score\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.0 (2.8\\u0026ndash;3.3)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e21.0 (10.1\\u0026ndash;35.9)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.10 (1.48\\u0026ndash;3.03)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.7 (1.0-2.9)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e34 (28\\u0026ndash;40)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.2 (2.9\\u0026ndash;3.4)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e18.1 (5.7\\u0026ndash;37.7)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.70 (1.14\\u0026ndash;2.31)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.4 (0.7\\u0026ndash;3.1)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e29 (14\\u0026ndash;39)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.095\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.575\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.073\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.379\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.123\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatic encephalopathy\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eVariceal bleeding\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAscites\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatorenal syndrome\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSpontaneous bacterial peritonitis\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eVentilator care\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePretransplant inotropics\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePretransplant hospitalization\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e20 (22.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (3.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e37 (42.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e44 (50.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6 (6.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e19 (21.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e27 (31.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e82 (93.2%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (13.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (13.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e7 (46.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6 (40.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (26.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e9 (60.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.516\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.153\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.738\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.474\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.589\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.000\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.772\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDonor sex (Male vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e54/34 (61.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e10/5 (66.7%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.696\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDonor age\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e49 (37\\u0026ndash;59)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e53 (32\\u0026ndash;55)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.694\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft weight\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft-recipient weight ratio\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1418 (1204\\u0026ndash;1604)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.22 (1.90\\u0026ndash;2.66)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e718 (614\\u0026ndash;958)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.10 (0.92\\u0026ndash;1.66)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eWarm ischemic time\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCold ischemic time\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e32 (26\\u0026ndash;41)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e295 (247\\u0026ndash;395)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e34 (29\\u0026ndash;46)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e86 (59\\u0026ndash;152)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.347\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003cbr/\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab4\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 4\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eComparisons of post-transplantation management and outcome between retransplantion patients according to their graft types.\\u003c/div\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"4\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e with whole liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;88)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRetransplantation\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ewith partial liver\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e(n\\u0026thinsp;=\\u0026thinsp;15)\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP-value\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eBasiliximab induction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eInduction therapy other than steroid\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eNone\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eNone due to recent induction with previous LT\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSingle dose of 20mg basiliximab\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e40mg of basiliximab divided by two doses\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAntithymocyte globulin\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e48 (58.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e17 (20.2%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e17 (20.2%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e13 (15.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e35 (41.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (2.4%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e10. (71.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (21.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (7.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (7.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e9 (64.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.555\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.425\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDay of tacrolimus initiation, median\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMean trough level of tacrolimus during 1 month\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDay of mycophenolate mofetil initiation, median\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMedian daily dosage of mycophenolate mofetil\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMedian daily dosage of methylprednisolone\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5 (3\\u0026ndash;6)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5.7 (4.2\\u0026ndash;7.1)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (1\\u0026ndash;4)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e411 (111\\u0026ndash;763)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e56 (50\\u0026ndash;74)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (3\\u0026ndash;5)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6.7 (5.5\\u0026ndash;11.1)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (1\\u0026ndash;3)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e406 (83\\u0026ndash;687)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e67 (55\\u0026ndash;74)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.122\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.068\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.223\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.805\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.288\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eInfection of any type within 1 month\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePneumonia within 1 month\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eBacterial pneumonia\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAspergillus pneumonia\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eViral pneumonia\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eIntra-abdominal infection within 1 month\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCMV antigenemia within 1 month\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCMV count, median (/200,000)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eBlood borne infection\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eBacteremia\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCandidemia\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eViremia other than CMV\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e42 (52.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e8 (10.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6 (7.5%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (1.2%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e20 (25.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e53 (64.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e7 (0\\u0026ndash;41)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e11 (13.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (3.8%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (1.2%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e8 (57.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (21.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (7.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (28.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e10 (71.4%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e14 (0\\u0026ndash;46)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (14.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e-\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1 (7.1%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.748\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.461\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.360\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.340\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.000\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.749\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.765\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.728\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient 30-day complication\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eClavien-Dindo classification\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eNone\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade I/II\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade III\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGrade IV/V\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e71 (80.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e17 (19.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (13.6%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e30 (34.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e29 (33.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12 (80.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3 (20.0%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2 (13.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5 (33.3%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e5 (33.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.000\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.982\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft failure\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeath\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e30 (34.1%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e44 (50.0%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4 (26.7%)\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e11 (73.3%)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.768\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.160\\u003c/div\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDeath due to acute graft dysfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePrimary nonfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eSecondary graft dysfunction\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eOther causes of death\\u003c/div\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eChronic graft rejection\\u003c/div\\u003e \\u003cdiv 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id=\\\"Tab5\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 5\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMultivariable Cox analysis of potential risk factors for graft survival and overall survival in patients with retransplantation.\\u003c/div\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"12\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c7\\\" colnum=\\\"7\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c8\\\" colnum=\\\"8\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c9\\\" colnum=\\\"9\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c10\\\" colnum=\\\"10\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c11\\\" colnum=\\\"11\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c12\\\" colnum=\\\"12\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"2\\\" rowspan=\\\"3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003evariables\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\" morerows=\\\"2\\\" rowspan=\\\"3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003en\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c5\\\" namest=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGraft survival\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"7\\\" nameend=\\\"c12\\\" namest=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eOverall survival\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c5\\\" namest=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eUnivariable\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"3\\\" nameend=\\\"c8\\\" namest=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eUnivariable\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"4\\\" nameend=\\\"c12\\\" namest=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMultivariable (final model)\\u003c/div\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHR\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCI\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHR\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCI\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHR\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eCI\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eP\\u003c/div\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGRWR\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.894\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.507\\u0026ndash;1.578\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.700\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.650\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.415\\u0026ndash;1.018\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.060\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eGRWR\\u0026thinsp;\\u0026lt;\\u0026thinsp;1.0%\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e6\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.607\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.377\\u0026ndash;6.855\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.521\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e4.243\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.758\\u0026ndash;10.241\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.001\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.668\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.150-11.698\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.028\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLiving donor for first transplant\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e75\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.994\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.446\\u0026ndash;2.218\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.989\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.016\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.552\\u0026ndash;1.871\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.958\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eLiving donor for retransplant\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e12\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.068\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.375\\u0026ndash;3.038\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.902\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.748\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.853\\u0026ndash;3.583\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.127\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eAcute dysfunction (against chronic)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e44\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.204\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.613\\u0026ndash;2.367\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.589\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.956\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.556\\u0026ndash;1.643\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.870\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eDays between transplantations\\u0026thinsp;\\u0026ge;\\u0026thinsp;30 days\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e70\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.208\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.577\\u0026ndash;2.530\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.616\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.456\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.793\\u0026ndash;2.674\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.226\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePartial graft (against whole)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e15\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.814\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.286\\u0026ndash;2.318\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.700\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.700\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.874\\u0026ndash;3.305\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.118\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMELD score\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.006\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.967\\u0026ndash;1.047\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.767\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.019\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.986\\u0026ndash;1.053\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.258\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMale recipient (vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e71\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.712\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.349\\u0026ndash;1.453\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.351\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.246\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.686\\u0026ndash;2.264\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.470\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eRecipient age\\u0026thinsp;\\u0026ge;\\u0026thinsp;60 years\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e19\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.737\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.284\\u0026ndash;1.916\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.532\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.400\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.735\\u0026ndash;2.668\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.306\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatocellular carcinoma\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e37\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.796\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.387\\u0026ndash;1.635\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.534\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.981\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.568\\u0026ndash;1.693\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.944\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatic encephalopathy\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e22\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.334\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.602\\u0026ndash;2.957\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.478\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.728\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.939\\u0026ndash;3.182\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.079\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eHepatorenal syndrome\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e50\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.944\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.473\\u0026ndash;1.884\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.870\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.107\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.643\\u0026ndash;1.908\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.714\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003ePretransplant ventilator care\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e22\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.551\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.720\\u0026ndash;3.341\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.262\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.974\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.099\\u0026ndash;3.548\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.023\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.004\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.904\\u0026ndash;4.442\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv 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char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.601\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.286\\u0026ndash;1.263\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.179\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.990\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.557\\u0026ndash;1.760\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.973\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMean daily FK trough level\\u0026thinsp;\\u0026ge;\\u0026thinsp;9 ng/mL\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e9\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e3.692\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.288\\u0026ndash;10.587\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.015\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.879\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.251\\u0026ndash;6.625\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.013\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c9\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e2.935\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.195\\u0026ndash;7.211\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c11\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.019\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMean daily MMF dosage\\u0026thinsp;\\u0026ge;\\u0026thinsp;500mg\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e34\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.009\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.454\\u0026ndash;2.240\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.983\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.002\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.555\\u0026ndash;1.807\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.996\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003eMale donor (vs. female)\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c2\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e64\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c3\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.145\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.566\\u0026ndash;2.316\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.706\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e1.123\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c7\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.647\\u0026ndash;1.948\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c8\\\"\\u003e \\u003cdiv class=\\\"SimplePara\\\"\\u003e0.680\\u003c/div\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c11\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"1\\\" nameend=\\\"c12\\\" namest=\\\"c12\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003ctfoot\\u003e \\u003ctr\\u003e\\u003ctd colspan=\\\"12\\\"\\u003eLiver transplantation LT; Liver retransplantation reLT; Renal replacement therapy RRT; Model for End-stage Liver Disease MELD; Graft-recipient weight ratio GRWR\\u003c/td\\u003e\\u003c/tr\\u003e \\u003c/tfoot\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003cbr/\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":true,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"scientific-reports\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"scirep\",\"sideBox\":\"Learn more about [Scientific Reports](http://www.nature.com/srep/)\",\"snPcode\":\"\",\"submissionUrl\":\"\",\"title\":\"Scientific Reports\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Scientific Reports\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true},\"keywords\":\"retransplantation, graft-recipient-weight ratio, liver transplantation\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-2586332/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-2586332/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003eIntroduction: This study analyzed the risk of liver retransplantation and factors related to better outcome.\\u003c/p\\u003e\\n\\u003cp\\u003eMethods: Adult liver transplantations performed during 1996 to 2021 were included. Comparison between first transplantation and retransplantation were performed. Among retransplantation cases, comparison between whole liver and partial liver graft was performed. Multivariable Cox analyses for analyzing risk factors for graft and overall survival were performed for the entire cohort as well as the subgroup of patients with retransplantation.\\u003c/p\\u003e\\n\\u003cp\\u003eResults: A total 2237 transplantations from 2135 adults were included and 103 cases were retransplantation. A total of 44 cases (42.7%) were related to acute graft dysfunction while 59 cases (57.3%) were related to subacute or chronic graft dysfunction. Retransplantation was related poor graft (HR=3.439, CI=2.230-5.304, P\\u0026lt;0.001) and overall survival. (HR=2.905, CI=2.089-4.040, P\\u0026lt;0.001) Among retransplantations, mean serum FK506 trough level≥9ng/mL was related to poor graft (HR=3.692, CI=1.288-10.587, P=0.015) and overall survival. (HR=2.935, CI=1.195-7.211, P=0.019) Graft-recipient-weight ratio under 1.0% was related to poor overall survival in retransplantations. (HR=3.668, CI=1.150-11.698, P=0.028)\\u003c/p\\u003e\\n\\u003cp\\u003eConclusions: Retransplantation can be complicated with poor graft and patient survival compared to first transplantation, especially when the graft size is relatively small. Lowering the FK506 trough level during the first month can be beneficial for outcome.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Graft-recipient-weight ratio and lowered immunosuppression is important for the success of adult liver retransplantation: 25-year single center experience\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2023-03-14 14:39:49\",\"doi\":\"10.21203/rs.3.rs-2586332/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"decision\",\"content\":\"Major revision\",\"date\":\"2023-05-02T05:06:18+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2023-04-16T15:37:25+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"c57039dd-501e-4fd8-a689-8ac2fc7c1b29\",\"date\":\"2023-04-12T22:16:56+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2023-03-21T10:38:57+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2023-03-21T10:37:42+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvited\",\"content\":\"\",\"date\":\"2023-03-09T06:16:46+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"checksComplete\",\"content\":\"\",\"date\":\"2023-03-09T06:12:35+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"Scientific Reports\",\"date\":\"2023-02-14T12:20:09+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"scientific-reports\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"scirep\",\"sideBox\":\"Learn more about [Scientific Reports](http://www.nature.com/srep/)\",\"snPcode\":\"\",\"submissionUrl\":\"\",\"title\":\"Scientific Reports\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Scientific Reports\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"01c1c459-0054-4912-a8d2-5768eb3cc2b7\",\"owner\":[],\"postedDate\":\"March 14th, 2023\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"published-in-journal\",\"subjectAreas\":[{\"id\":19775690,\"name\":\"Biological sciences/Immunology\"},{\"id\":19775691,\"name\":\"Health sciences/Gastroenterology\"}],\"tags\":[],\"updatedAt\":\"2023-10-16T22:07:36+00:00\",\"versionOfRecord\":{\"articleIdentity\":\"rs-2586332\",\"link\":\"https://doi.org/10.1038/s41598-023-39007-7\",\"journal\":{\"identity\":\"scientific-reports\",\"isVorOnly\":false,\"title\":\"Scientific Reports\"},\"publishedOn\":\"2023-08-07 21:57:00\",\"publishedOnDateReadable\":\"August 7th, 2023\"},\"versionCreatedAt\":\"2023-03-14 14:39:49\",\"video\":\"\",\"vorDoi\":\"10.1038/s41598-023-39007-7\",\"vorDoiUrl\":\"https://doi.org/10.1038/s41598-023-39007-7\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-2586332\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-2586332\",\"identity\":\"rs-2586332\",\"version\":[\"v1\"]},\"buildId\":\"7rjqhiLT3MXkJMwkYKINL\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}