{"paper_id":"0429ebc9-e20e-4e29-81ee-70c8f4626fb5","body_text":"Blood-pool SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) normalized by blood volume for prediction of short-term survival in severe liver failure: preliminary report | 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 Research Article Blood-pool SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) normalized by blood volume for prediction of short-term survival in severe liver failure: preliminary report Naoya Yama, Hiroomi Tatsumi, Masayuki Akatsuka, Masamitsu Hatakenaka This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4665806/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Sep, 2024 Read the published version in Annals of Nuclear Medicine → Version 1 posted 4 You are reading this latest preprint version Abstract Purpose: This study evaluated the usefulness of SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) scintigraphy including SUV analysis of the cardiac blood pool normalized by blood volume as a predictor of short-term survival in severe liver failure. Patients and methods: We enrolled 24 patients with severe liver failure who underwent 99mTc-GSA scintigraphy and were admitted to the intensive care unit. Patients were divided into survival and non-survival groups at 7, 14, and 28 days from performance of 99mTc-GSA scintigraphy. From SPECT images we calculated SUVs of the cardiac blood pool, performing normalization for body weight, lean body weight, Japanese lean body weight, and blood volume and we calculated SUVs of the liver, normalizing by body weight, lean body weight, and Japanese lean body weight. We also calculated the uptake ratio of the heart at 15 minutes to that at 3 minutes (HH15) and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes (LHL15) from planar images of 99mTc-GSA scintigraphy. Results: There were significant differences between the 7-day survival and non-survival groups for all SUVs of the heart and the liver and HH15, for 14-day survival groups in SUVs of the heart normalized by Japanese lean body weight and blood volume, and no significant differences between 28-day survival groups for any SUVs, HH15, or LHL15. Although the difference was not significant, SUV analysis of the heart normalized by blood volume showed the highest value for the area under the receiver-operating-characteristics curve for both 7-day and 14-day survival. Conclusion: SUV analysis of 99mTc-GSA including SUV analysis of cardiac blood pool normalized by blood volume is of value for prediction of short-term survival in cases with severe liver failure. Figures Figure 1 Figure 2 Figure 3 Introduction Liver failure is one of the most lethal factors in multiple organ dysfunction syndrome, and severe hepatic dysfunction sometimes requires admission to the intensive care unit [1–4]. The severity of critical ill patients with liver failure can be evaluated by the model for end-stage liver disease (MELD), which is useful for prediction of 3-month survival [2–5]. On the other hand, we reported that findings of 99mTc GSA scintigraphy are of value for 28-day survival using the index of the uptake ratio of the heart at 15 minutes to that at 3 minutes (HH15) and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes (LHL15) [1]. But the usefulness of these indexes for survival for a very short term, i.e., within 28 days of scintigraphy, has not been sufficiently discussed. Thus, here we evaluated the usefulness of the MELD score and 99mTc GSA scintigraphy for 7-day, 14-day, and 28-day survival. We performed SUV analysis of the 99m-Tc GSA scintigram as well as analysis of the MELD score and HH15 and LHL15 indexes because of concerns that the latter two measurements require discrimination of the cardiac and liver regions on planar images, which is difficult to do (strong remnants of 99mTc GSA in the blood pool of the heart and less physiological accumulation in severely diseased livers). SUV analysis has been more prevalent on the clinical scene recently. Moreover, we evaluated the usefulness of SUV analysis of 99mTc-GSA scintigraphy including SUV analysis of the cardiac blood pool normalized by blood volume, which makes sense theoretically. There are significant differences between this report (ethics approval number 342 − 239) and the one published ten years ago investigating the usefulness of HH15 and LHL15 for 28-days survival (ethics approval number 24-5006); we evaluated survival for a shorter period and mainly evaluated SUV analysis, which is different index from HH15 or LHL15. Additionally, patients in the previous report were recruited from 1999 to 2006 and patients in this report were recruited from 2012 to 2023 without overlap of patients [1]. Patients and methods Patients This retrospective study was approved by our hospital’s institutional review board (ethics approval number 342 − 239), and the requirement for direct informed consent was waived. From May 2012 and February 2023 at our hospital, 99mTc-GSA scintigraphy including SPECT was performed in 25 patients with hepatic failure who had been admitted to the intensive care unit of our hospital. We excluded one patient because the patient was under 18 years old. Finally, we evaluated the remaining 24 cases. We calculated the MELD score using serum bilirubin, serum creatinine, and prothrombin time-international normalized ratio [5]. Patient characteristics are summarized in Table 1. For investigation of the prediction of short-term survival, we divided patients into survival (SV) and non-survival (NSV) groups at 7, 14, and 28 days from 99mTc-GSA scintigraphy. 99mTc-GSA scintigraphy SPECT/CT scans were obtained by a SPECT/CT scanner (Discovery NM/CT 670 pro, GE Healthcare, Tokyo, Japan) equipped with a 16-slice CT scanner for attenuation correction. At 3 and 15 minutes after intravenous administration of 3 mg of 99mTc-GSA (185 MBq; Nihon Medi-physics Co, Ltd, Tokyo, Japan), dynamic planar images were obtained; then SPECT/CT images of the heart and liver were performed. The SPECT/CT scan was acquired using a low-energy high-resolution collimator, a 128 × 128 matrix with 4.4-mm pixel size, and a total of 60 projections (30 steps) over 360° with a dwell time of 10 s/step. After the SPECT acquisition, a low-dose CT transmission scan was performed with 120 kV, 10 mA using a 512 × 512 matrix size. The CT data were generated with 4.4-mm slice thickness. Measurement of HH15 and LHL15 Indexes of HH15 and LHL15 were calculated on planar images [1, 6, 7]. We calculated the uptake ratio of the heart at 15 minutes to that at 3 minutes as HH15 and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes as LHL15. While the HH15 ratio reflects the rate of disappearance in blood, the LHL15 ratio reflects the rate of accumulation in the liver. A representative case is shown in Fig. 1 . SUV measurement Quantitative SPECT/CT parameters normalized by body weight were calculated using a commercial software package (GI-BONE, AZE Co., Tokyo) that is widely available in Japan. The maximum and the peak SUV normalized by body weight (SUV bw max and SUV bw peak) were calculated for quantitative analysis of 99mTc-GSA uptake as follows: SUV bw = (tissue radioactivity/voxel volume) / (injected radioactivity/body weight), where ‘tissue radioactivity’ indicates the tissue radioactivity concentration measured by SPECT. The tissue radioactivity concentration was obtained by multiplying the SPECT counts and Becquerel calibration factor, which was determined by scanning a cylindroid phantom filled with a known radioactivity concentration. The following were also calculated: SUV bw max = (max. radioactivity/voxel volume) / (injected radioactivity/body weight) and SUV bw peak = (averaged radioactivity obtained within a 1-cm 3 sphere of interest centered on the voxel of the SUV bw max/voxel volume) / (injected radioactivity/ body weight). We determined the SUV bw max and SUV bw peak data of the blood-pool of the heart (SUV bw maxH and SUV bw peakH) and those of the liver (SUV bw maxL and SUV bw peakL). A representative case is shown in Fig. 2 . SUVs of both the heart and liver corrected by lean body weight (lbw) and Japanese lean body weight (jlbw), and blood volume (bv) based on following equations were used to calculate normalized SUV variations: SUV lbw = SUV bw × lean body weight (kg) / body weight (kg) SUV jlbw = SUV bw × Japanese lean body weight (kg) / body weight (kg) SUV bv = 10 × SUV bw × blood volume (L) / body weight (kg) Lean body weight, Japanese lean body weight, and blood volume were estimated as follows [8–10]: Lean body weight (male) = 1.10 × body weight (kg) -128 × (body weight (kg) / height (cm)) 2 Lean body weight (female) = 1.07 × body weight (kg) -148 × (body weight (kg) / height (cm)) 2 Japanese lean body weight (male) = 28.27 × height (m) + 0.359 × body weight (kg) − 0.032 × age (year) − 21.83 Japanese lean body weight (female) = 26.12×height (m) + 0.253 × body weight (kg) − 0.022 × age (year) -19.58 Blood volume (male) = 0.417 × height (m) 3 + 0.0450 × body weight (kg) -0.030 Blood volume (female) = 0.414 × height (m) 3 + 0.0328 × body weight (kg) -0.030 Statistical analysis We calculated the correlation of SUV bw max versus SUV bw peak of the heart and liver Spearman’s correlation test. For evaluation of patient characteristics, we compared age, body weight, and height between females and males using the Mann–Whitney U test. For the evaluation of results of 99m-GSA examination, the SUVs, HH15, LHL15, and MELD scores were compared between SV and NSV groups using the Mann–Whitney U test. In all analyses, a probability (p)-value < 0.05 was accepted as significant. Receiver-operating characteristic (ROC) analyses were performed in categories with significant differences. The Youden index was used to determine the optimal cutoff values. Comparisons of the areas under the curve (AUCs) between several results were performed using the DeLong method [11]. Statistical analyses were performed using EZR software (Saitama Medical Center, Jichi Medical University, Saitama, Japan), the graphical user interface for R [12]. Results The clinical characteristics of patients are shown in Table 1. There were no significant differences in age between the female and male groups, whereas sex-based differences in body weight and height were significant. SUV bw and survival status from 99mTc GSA scintigraphy of each of the 24 cases are shown in Table 2. Correlations between the SUVmax and SUVpeak values There were significant and strong correlations between the SUV bw max and SUV bw peak values of both the heart and the liver. The correlation coefficients were SUV bw maxH vs. SUV bw peakH, 0.993 (p < 0.00001), and SUV bw maxL vs. SUV bw peakL, 0.999 (p < 0.00001). Comparison of SUVs between the SV and NSV groups, and the ROC analysis Regarding 7-day survival, the SV and NSV groups showed statistically significant differences for all kinds of SUVs and for HH15 while LHL15 and the MELD score showed no significant difference (Table 3). Results of ROC analysis are shown in Table 4 and Figure 3. Although there was no statistically significant difference among AUCs of all SUVs and HH15 by the DeLong method, the AUCs of SUV bv maxH and SUV bv peakH were higher than those of other SUVs or HH15. Regarding 14-day survival, the SV and NSV groups showed statistically significant differences in SUV jlbw maxH, SUV jlbw peakH, SUV bv maxH, and SUV bv peakH but did not show differences in other SUVs, HH15, LHL15, or MELD scores (Table 3). Results of ROC analysis are described in Table 4 and Figure 3. Although there were no statistically significant differences among SUVs by the DeLong method, the AUCs of SUV bv maxH and SUV bv peakH were higher than those of SUV jlbw maxH or SUV jlbw peakH. Regarding 28-day survival, the SV and NSV groups showed statistically significant differences in MELD scores, but not in any SUVs, HH15, or LHL15 (Table 3). Results of ROC analysis are shown in Table 4 and Figure 3. Discussion The results of this study revealed that our proposed method of analyzing the SUV of 99mTc-GSA is both simple and objective, requiring no specific imaging techniques or extensive experience in image interpretation; the analysis also showed sufficient value for prediction of short-term survival in case of severe liver failure. Estimating the prognosis of patients with severe liver failure is an important matter, and MELD score is still the most widely used severity-of-liver disease scoring system; one benefit is that it can also be used in the field of intensive care [1,13–15]. However, reports regarding the usefulness of MELD score are limited, especially in intensive care medicine, and conditions with no possibility of recovery or prediction of short-term survival in case of severe liver failure needs further attention, given that intensive care for severely ill patient requires significant medical resources. Thus, we consider that our results of SUV analysis of 99mTc-GSA may become an important reference for appropriate use of medical resources with severe liver dysfunction [1]. For evaluation of liver function, HH15 and LHL15 estimated from planar images of 99mTc-GSA scintigraphy have been widely employed in Japan, and many reports of their usefulness for preoperative evaluation for liver surgery, prognosis for liver failure, and evaluation of liver fibrosis severity have been published [1, 6, 7, 16–20]. But HH15 and LHL15 are considered less reproducible than other measures; the manner of setting the ROI of the heart and the liver for calculating HH15 and LHL15 differs among institutions, resulting in different absolute values [18, 19, and 21]. On the other hand, SUV analysis of SPECT has come into wide use in clinical science worldwide and can provide higher inter- and intra- operator reproducibility [22, 23]. Thus, SUV analysis of SPECT images of 99mTc GSA scintigraphy has clear advantages over HH15 or LHL15 from planar images. Especially in cases with severe liver failure, various factors can affect the measurement of HH15 and LHL15. Strong accumulation of the blood pool of the heart and less accumulation in the liver makes it difficult to set boundaries of the liver and the heart for placement of ROIs on a planar image, and the resulting ROIs counts are considered less reliable because of this overlap of heart and liver. On the other hand, SUV analysis using volumes of interest of the heart and liver on SPECT images with reference to the SPECT/CT image may be both easier and more reliable. Moreover, we must pay attention to the mechanism of distribution of 99m-Tc GSA especially in case of severe liver failure. Residual blood-pool accumulation of the liver can disturb estimations of physiological liver uptake, and apparently stronger accumulation of the liver can be caused in cases with severe liver failure. Thus, we consider the SUV of residual blood-pool accumulation of the heart to be more reliable than that of the liver; indeed, our results showed concordance with this hypothesis. Several normalization methods of the SUV have been proposed, for example normalization by body weight, lean body weight, and body surface area [24, 25]. We developed a normalization of SUV by blood volume. We hypothesized that the SUV of the blood pool normalized by blood volume would be the best method for evaluation of residual tracer in the blood pool theoretically. Although the results were not statistically significant in our small cohort, we were not surprised to find that the AUC of SUV analysis of the heart normalized by blood volume was higher than SUV analyses normalized by body weight, lean body weight, or Japanese lean body weight for prediction of 7-day survival and higher than that of Japanese lean body weight for 14-day survival. As for the liver, we consider that the SUV of the liver should be normalized by liver volume or that total liver uptake would provide a more meaningful measure. However, in terms of applicability to intensive care settings, it is difficult to evaluate liver volume quickly in our SPECT/CT protocol; furthermore, evaluation of liver volume from SPECT images in the same manner as in the previous report is difficult in cases with severe liver failure due to strong accumulation of the blood pool around the liver [26–28]. Thus, we abandoned the search for an evaluation method for total liver uptake in the present work. Further investigation is needed for evaluation of liver uptake of 99mTc-GSA. Findings for 28-day survival were not significant for all SUVs, HH15, or LHL15, although our previous report showed significant differences for HH15 and LHL15 [1]. This discrepancy may be due to patient selection bias because we recruited fewer patients and those with more severe disease in the present report than the previous one. Further investigation with large-scale trials is needed, although recruitment of patients with severe liver failure may be difficult. There are some study limitations to address. This was a retrospective analysis with a relatively small number of patients. Large prospective studies are needed to validate our results. Selection bias may have affected our results, as patients with different causes of liver failure were recruited in this report. In conclusion, the SUV analysis of 99mTc-GSA that we have described is of value for the prediction of short-term survival in patients with severe liver failure. Our results provide a foundation for the quantitative analysis of blood pool imaging using evaluation of SUV normalized by blood volume. Declarations Funding This research was supported by a research grant from Sapporo Medical University. Conflict of interest Hiroomi Tatsumi received lecture fee from Otsuka Pharmaceutical Factory, Inc. The other authors have no potential conflicts of interest to report. References Tatsumi H, Masuda Y, Imaizumi H, Yoshida S, Goto K, Yama N, Mizuguchi T, Hirata K. Asialoglycoprotein receptor scintigraphy with 99mTc-galactosyl human serum albumin (99mTc-GSA) as an early predictor of survival in acute liver failure. Anaesth Intensive Care. 2013; 41:523-8. Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P, Kremers W, Lake J, Howard T, Merion RM, Wolfe RA, Krom R; United Network for Organ Sharing Liver Disease Severity Score Committee. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology. 2003; 124:91-6. Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, D'Amico G, Dickson ER, Kim WR. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001; 33:464-70 Wiesner RH, McDiarmid SV, Kamath PS, Edwards EB, Malinchoc M, Kremers WK, Krom RA, Kim WR. MELD and PELD: application of survival models to liver allocation. Liver Transpl. 2001; 7:567-80. M Malinchoc 1, P S Kamath, F D Gordon, C J Peine, J Rank, P C ter Borg. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology. 2000; 31:864-71. Kwon AH, Ha-Kawa SK, Uetsuji S, Kamiyama Y, Tanaka Y. Use of technetium 99m diethylenetriamine-pentaacetic acid-galactosyl-human serum albumin liver scintigraphy in the evaluation of preoperative and postoperative hepatic functional reserve for hepatectomy. Surgery.1995; 117:429-34. Shiomi S, Kuroki T, Kuriyama M, Takeda T, Nishiguchi S, Nakajima S, Tanaka T, Ochi H. Evaluation of fulminant hepatic failure by scintigraphy with technetium-99m-GSA. J Nucl Med. 1997; 38:79-82. Ito H, Ohshima A, Ohto N, Ogasawara M, Tsuzuki M, Takao K, Hijii C, Tanaka H, Nishioka K. Relation between body composition and age in healthy Japanese subjects. Eur J Clin Nutr. 2001; 55:462-70. W. P. T. James. Research on obesity: a report of the DHSS/MRC group, Department of Health and Social Security / Medical Research Council, 1976, London, HMSO. Nadler SB, Hidalgo JH, Bloch T. Prediction of blood volume in normal human adults. Surgery. 1962; 51:224-32. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44:837–45. Kanda Y. Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant. 2013; 48:452-8. Lindvig KP, Teisner AS, Kjeldsen J, Strøm T, Toft P, Furhmann V, Krag A. Allocation of patients with liver cirrhosis and organ failure to intensive care: Systematic review and a proposal for clinical practice. World J Gastroenterol. 2015; 21:8964-73. Hoti E, Azoulay D, Ichaï P, Habouchi H, Castaing D, Samuel D, Saliba F. Prospective evaluation of the prognostic scores for cirrhotic patients admitted to an intensive care unit. Levesque E, J Hepatol. 2012; 56:95-102. Singh N, Gayowski T, Wagener MM, Marino IR. Outcome of patients with cirrhosis requiring intensive care unit support: prospective assessment of predictors of mortality. J Gastroenterol. 1998; 33:73-9. Shiomi S, Kuroki T, Enomoto M, Ueda T, Masaki K, Ikeoka N, Takeda T, Kobayashi K, Ochi H. Fulminant hepatic failure monitored by technetium-99m-DTPA-galactosyl-human serum albumin scintigraphy. J Nucl Med. 1996; 37:641-3. Suzuki Y, Kakisaka K, Sato T, Mikami R, Abe H, Sasaki T, Takikawa Y. Tc-99m GSA scintigraphy within the first 3 days after admission as an early predictor of outcome in severe acute liver injury. Sci Rep. 2021; 11:12518 Ogasawara G, Inoue Y, Itoh Y, Tagami S, Matsunaga K, Miki K. Improved reproducibility of simple quantitative indices from 99mTc-GSA liver functional imaging. Ann Nucl Med. 2013; 27:487-91. Nakajima K, Kinuya K, Mizutani Y, Hwang EH, Michigishi T, Tonami N, Kobayashi K. Simple scintigraphic parameters with Tc-99m galactosyl human serum albumin for clinical staging of chronic hepatocellular dysfunction. Ann Nucl Med. 1999; 13:5-11. Itano S, Sata M, Kumashiro R, Hirai K, Tanikawa K. Usefulness of technetium-99m-galactosyl human serum albumin liver scintigraphy for assessment of severity of alcoholic hepatitis. Alcohol Clin Exp Res.1996; 20(1 Suppl):86A-90A. Koizumi M, Yamada Y, Nomura E, Takiguchi T, Kokudo N. An easy and reproducible semi-automatic method for the evaluation of 99mTc-galactosyl human serum albumin. Ann Nucl Med. 1997; 11:345-8. Ren C, Ren J, Tian Z, Du Y, Hao Z, Zhang Z, Fang W, Li F, Zhang S, Hsu B, Huo L. Assessment of cardiac amyloidosis with (99m)Tc-pyrophosphate (PYP) quantitative SPECT. EJNMMI Phys. 2021; 8:3. Dorbala S, Park MA, Cuddy S, Singh V, Sullivan K, Kim S, Falk RH, Taqueti VR, Skali H, Blankstein R, Bay C, Kijewski MF, Di Carli MF. Absolute Quantitation of Cardiac (99m)Tc-Pyrophosphate Using Cadmium-Zinc-Telluride-Based SPECT/CT. J Nucl Med. 2021; 62:716-22. Sarikaya I, Sarikaya A. Assessing PET Parameters in Oncologic (18) F-FDG Studies. J Nucl Med Technol. 2020; 48:278-82. Kim CK, Gupta NC, Chandramouli B, Alavi A. Standardized uptake values of FDG: body surface area correction is preferable to body weight correction. J Nucl Med. 1994; 35:164-7 Tokorodani R, Sumiyoshi T, Okabayashi T, Hata Y, Noda Y, Morita S, Daisaki H, Okada Y, Yasuda E. Liver fibrosis assessment using 99mTc-GSA SPECT/CT fusion imaging Jpn J Radiol. 2019; 37:315-20 Tokorodani R, Kume T, Daisaki H, Hayashi N, Iwasa H, Yamagami T. Combining 99mTc-GSA single-photon emission-computed tomography and Gd-EOB-DTPA-enhanced magnetic resonance imaging for staging liver fibrosis. Medicine (Baltimore) 2023; 102:e32975. Taniguchi M, Okizaki A, Watanabe K, Imai K, Uchida K, Einama T, Shuke N, Miyokawa N, Hiroyuki Furukawa. Hepatic clearance measured with (99m) Tc-GSA single-photon emission computed tomography to estimate liver fibrosis. World J Gastroenterol. 2014; 20:16714-20. Tables Table 1 Patient characteristics (n = 24) Gender (%): Female 12(50) Male 12(50) Age, yrs.: Mean ± SD (range) 60.7 ± 14.2 (27.2 - 80.3) Female 58.5 ± 17.6 (27.2 - 80.3) p = 0.583 Male 62.9 ± 10.0 (49.2 - 79.6) Body weight, kg: Mean ± SD (range) 63.7 ± 11.43 (42.9 - 87.0) Female 57.3 ± 10.1 (42.9 - 82.4) p = 0.002 Male 70.2 ± 9.0 (61.4 - 87.0) height, cm: Mean ± SD (range) 159.9 ± 7.9 (147.4 - 176.0) Female 154.3 ± 4.6 (147.4 - 162.0) p < 0.001 Male 165.4 ± 6.6 (155.1 - 176.0) Cause of liver dysfunction Sepsis/septic shock 7 (29) Drug induced liver damage 6 (25) Autoimmune hepatitis 4 (17) Postoperative liver failure 2 (8) Post massive hemorrhage 2 (8) Alcoholic hepatitis 1 (4) Hepatitis B 1 (4) Cardiac failure 1 (4) Categorical variables are n (%) Table 2 Patient characteristics and parameters No Age (yrs) Gender height (cm) weight (kg) SUV bw maxH SUV bw peakH SUV bw maxL SUV bw peakL HH15 LHL15 MELD DS (day) 1 61.2 male 164.5 63.3 8.82 8.30 44.71 43.01 0.596 0.817 27 SV 2 51.3 male 176.0 77.8 9.57 9.13 24.77 24.07 0.671 0.909 34 SV 3 71.6 male 157.2 61.5 17.01 15.89 25.84 24.69 0.851 0.705 31 SV 4 39.0 female 153.0 55.1 10.15 9.71 17.03 16.14 0.865 0.863 33 SV 5 76.3 female 151.0 59.7 21.89 20.68 20.35 19.19 0.871 0.635 19 4 6 79.6 male 165.0 63.7 11.32 10.44 15.78 15.14 0.781 0.855 35 SV 7 57.9 female 157.0 50.9 11.61 10.38 15.53 14.92 0.887 0.666 31 SV 8 27.2 female 156.5 50.9 13.67 12.93 11.28 10.51 0.856 0.626 30 SV 9 46.4 female 152.4 42.9 16.11 14.62 11.35 10.63 0.837 0.872 34 6 10 66.3 male 164.6 82.3 12.53 11.75 36.10 34.70 0.719 0.888 34 16 11 56.2 female 150.0 60.4 16.44 15.50 17.03 16.04 0.872 0.742 33 SV 12 76.6 male 158.8 73.1 14.37 13.46 28.90 27.74 0.858 0.814 38 3 13 65.7 male 174.0 75.9 11.75 10.97 34.39 33.19 0.798 0.854 35 14 14 58.7 male 162.3 61.4 11.95 11.46 10.36 9.77 0.924 0.740 33 4 15 76.9 female 151.0 63.6 10.20 9.83 37.40 36.17 0.789 0.842 29 SV 16 49.9 male 169.5 63.3 11.56 10.77 12.85 12.35 0.901 0.755 36 6 17 39.3 female 162.0 49.2 6.92 6.52 22.03 20.61 0.678 0.880 29 SV 18 63.8 female 160.0 58.9 12.28 11.56 22.56 21.28 0.852 0.729 31 SV 19 58.3 male 166.1 70.8 8.34 7.86 31.63 30.51 0.762 0.842 35 16 20 76.9 female 151.7 62.8 20.51 19.27 19.66 18.56 0.885 0.453 33 1 21 80.3 female 147.4 50.7 8.48 8.11 33.51 32.15 0.732 0.889 33 8 22 66.6 male 172.0 87.0 11.18 10.46 32.28 30.93 0.804 0.702 31 12 23 61.7 female 160.0 82.4 16.08 14.96 22.60 21.41 0.860 0.785 15 SV 24 49.2 male 155.1 62.1 13.46 12.76 20.50 19.11 0.834 0.840 40 11 DS duration of survival , HH15 uptake ratio of the heart at 15 minutes to that at 3 minutes, LHL15 uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes, MELD score of model for end-stage liver disease, SUV bw maxH SUV bw max of the heart, SUV bw maxL SUV bw max of the liver, SUV bw peakH SUV bw peak of the heart, SUV bw peakL SUV bw peak of the liver, SV survival over 28th day from 99mTc-GSA scintigraphy Table 3 Comparison between survival group and non-survival group at 7 days, 14 days, and 28 days Groups 7-day SV 7-day NSV 14-day SV 14-day NSV 28-day SV 28-day NSV N (Female) 18 (9) 6 (3) p-values 15 (8) 9 (4) p-values 12(8) 12(4) p-values SUV bw maxH 11.66 ± 2.87 16.07 ± 4.33 0.027* 11.78 ± 3.01 14.39 ± 4.43 0.194 12.01 ± 3.21 13.51 ± 4.20 0.443 SUV bw peakH 10.95 ± 2.66 15.04 ± 4.08 0.027* 11.05 ± 2.79 13.51 ± 4.13 0.155 11.26 ± 2.98 12.68 ± 3.93 0.378 SUV lbw maxH 8.57 ± 1.97 11.83 ± 2.30 0.003* 8.65 ± 2.01 10.62 ± 2.78 0.064 8.77 ± 2.15 10.00 ± 2.69 0.266 SUV lbw peakH 8.05 ± 1.82 11.07 ± 2.14 0.008* 8.11 ± 1.85 9.96 ± 2.57 0.074 8.23 ± 1.99 9.39 ± 2.50 0.273 SUV jlbw maxH 7.43 ± 1.74 10.19 ± 1.56 0.003* 7.49 ± 1.74 9.17 ± 2.23 0.041* 7.54 ± 1.87 8.70 ± 2.16 0.160 SUV jlbw peakH 6.98 ± 1.61 9.53 ± 1.43 0.006* 7.02 ± 1.60 8.61 ± 2.04 0.046* 7.08 ± 1.72 8.16 ± 1.99 0.133 SUV bv maxH 7.59 ± 1.81 10.28 ± 1.41 0.001* 7.63 ± 1.80 9.30 ± 2.15 0.021* 7.62 ± 1.93 8.89 ± 2.08 0.078 SUV bv peakH 7.12 ± 1.67 9.62 ± 1.32 0.001* 7.16 ± 1.66 8.73 ± 1.99 0.021* 7.15 ± 1.78 8.35 ± 1.92 0.078 SUV bw maxL 25.83 ± 9.21 17.25 ± 7.11 0.042* 25.25 ± 9.67 21.08 ± 8.81 0.283 23.05 ± 9.57 24.32 ± 9.58 0.795 SUV bw peakL 24.70 ± 8.99 16.37 ± 6.85 0.047* 24.16 ± 9.43 20.05 ± 8.53 0.290 22.00 ± 9.32 23.24 ± 9.32 0.799 SUV lbw maxL 19.13 ± 7.06 12.65 ± 4.67 0.047* 18.73 ± 7.51 15.48 ± 6.09 0.290 17.00 ± 7.43 18.02 ± 6.95 0.630 SUV ibw peakL 18.29 ± 6.89 12.01 ± 4.52 0.047* 17.92 ± 7.32 14.72 ± 5.90 0.290 16.23 ± 7.23 17.21 ± 6.78 0.630 SUV jlbw maxL 16.63 ± 6.36 10.93 ± 4.01 0.047* 16.32 ± 6.83 13.36 ± 5.16 0.347 14.70 ± 6.70 15.72 ± 6.14 0.514 SUV jlbw pwakL 15.90 ± 6.20 10.38 ± 3.90 0.040* 15.62 ± 6.65 12.70 ± 5.00 0.318 14.03 ± 6.50 15.02 ± 5.99 0.551 HH15 0.789 ± 0.082 0.879 ± 0.031 0.006* 0.789 ± 0.088 0.850 ± 0.057 0.096 0.797 ± 0.097 0.827 ± 0.066 0.590 LHL15 0.802 ± 0.086 0.712 ± 0.149 0.172 0.800 ± 0.087 0.744 ± 0.137 0.340 0.785 ± 0.091 0.774 ± 0.129 1.000 MELD score 31.4 ± 5.1 32.2 ± 6.7 0.330 30.8±5.0 33.0 ± 6.0 0.176 29.8 ± 5.2 33.4 ± 5.1 0.015* N number, NSV non survival, SV survival * statistically significant Table 4 Receiver-operating characteristics curves of SUVs, HH15, and MELD score Prediction of survival on 7 day CV AUC SEN SPE PPV NPV ACC SUV bw maxH 11.61 0.81 0.50 0.83 0.90 0.36 0.58 SUV bw peakH 10.77 0.81 0.56 1.00 1.00 0.43 0.67 SUV lbw maxH 9.46 0.89 0.72 1.00 1.00 0.55 0.79 SUV lbw peakH 8.81 0.87 0.72 1.00 1.00 0.55 0.79 SUV jlbw maxH 8.61 0.89 0.78 1.00 1.00 0.60 0.83 SUV jlbw peakH 8.03 0.88 0.78 1.00 1.00 0.60 0.83 SUV bv maxH 8.79 0.92 0.83 1.00 1.00 0.67 0.88 SUV bv peakH 8.25 0.92 0.83 1.00 1.00 0.67 0.88 SUV bw maxL 20.35 0.79 0.72 0.83 0.93 0.50 0.75 SUV bw peakL 19.19 0.78 0.67 0.83 0.92 0.46 0.71 SUV lbw maxL 13.89 0.78 0.67 0.83 0.92 0.46 0.71 SUV lbw peakL 13.10 0.78 0.67 0.83 0.92 0.46 0.71 SUV jlbw maxL 11.35 0.78 0.72 0.83 0.93 0.50 0.75 SUV jlbw peakL 10.70 0.79 0.78 0.83 0.93 0.56 0.79 HH15 0.84 0.87 0.61 1.00 1.00 0.46 0.71 Prediction of survival on 14 day CV AUC SEN SPE PPV NPV ACC SUV jlbw maxH 8.61 0.76 0.80 0.78 0.86 0.70 0.79 SUV jlbw peakH 8.03 0.75 0.80 0.78 0.86 0.70 0.79 SUV bv maxH 8.79 0.79 0.87 0.78 0.87 0.78 0.83 SUV bv peakH 8.25 0.79 0.87 0.78 0.87 0.78 0.83 Prediction of survival on 28 day CV AUC SEN SPE PPV NPV ACC MELD score 33.0 0.80 0.67 0.83 0.80 0.71 0.75 ACC accuracy, AUC area under curve, CV optimal cut off value, NPV negative predictive value, PPV positive predictive value, SEN sensitivity, SPE specificity Cite Share Download PDF Status: Published Journal Publication published 10 Sep, 2024 Read the published version in Annals of Nuclear Medicine → Version 1 posted Reviewers agreed at journal 04 Jul, 2024 Reviewers invited by journal 02 Jul, 2024 Editor assigned by journal 01 Jul, 2024 First submitted to journal 30 Jun, 2024 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4665806\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":321859767,\"identity\":\"7f15b582-327d-4a6c-b748-49567bd8129f\",\"order_by\":0,\"name\":\"Naoya Yama\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIiWNgGAWjYNCCCgglASIYG4jScoZkLYxtSFoIAnOJ5Kcbfs6rkzcXO3zwBkONHQPzbALWWM5IM7vZu+2w4c7ZackWDMeSGRjnHMCvxeBGgtkN3m0HGDfczjGTYGA7wMA4I4GQlvRvN//OqbPfcDv/mwTDP6K05Jjd5m1gTgTawibB2EaMljNvym7LHDucDPSLsUViXzIPYb8cT992801Nne126eSHNz58s5MzJBRiDAJQZxiACCCbx3AGAR0M/AeQtICAPHEROgpGwSgYBSMIAADogUk+/L3zkQAAAABJRU5ErkJggg==\",\"orcid\":\"https://orcid.org/0000-0003-4810-2906\",\"institution\":\"Sapporo Medical University\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Naoya\",\"middleName\":\"\",\"lastName\":\"Yama\",\"suffix\":\"\"},{\"id\":321859768,\"identity\":\"12824080-5944-4201-b9fa-8492e6d00252\",\"order_by\":1,\"name\":\"Hiroomi Tatsumi\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Sapporo Medical University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Hiroomi\",\"middleName\":\"\",\"lastName\":\"Tatsumi\",\"suffix\":\"\"},{\"id\":321859769,\"identity\":\"21666908-b634-4015-bc53-d1a81cfc0fec\",\"order_by\":2,\"name\":\"Masayuki Akatsuka\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Sapporo Medical University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Masayuki\",\"middleName\":\"\",\"lastName\":\"Akatsuka\",\"suffix\":\"\"},{\"id\":321859770,\"identity\":\"92dd145c-92d2-48c2-8750-18b960dcc7cc\",\"order_by\":3,\"name\":\"Masamitsu Hatakenaka\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Sapporo Medical University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Masamitsu\",\"middleName\":\"\",\"lastName\":\"Hatakenaka\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2024-07-01 06:39:41\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-4665806/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-4665806/v1\",\"draftVersion\":[],\"editorialEvents\":[{\"content\":\"https://doi.org/10.1007/s12149-024-01975-9\",\"type\":\"published\",\"date\":\"2024-09-10T15:58:22+00:00\"}],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":61178020,\"identity\":\"53b85ad6-ef6d-43e1-806b-6d655a84687e\",\"added_by\":\"auto\",\"created_at\":\"2024-07-26 15:56:25\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":247865,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eAnalysis of HH15 and LHL15 on planar image of the case with drug-induced liver failure (case 16). H3, radioactivity of the heart 3 minutes after injection of 99mTc-GSA; H15, radioactivity of the heart 15 minutes after injection of 99mTc-GSA; L15, radioactivity of the liver 15 minutes after injection of 99mTc-GSA; HH15, H15/H3; LHL15, L15/ (L1+H15). Values for H3, H15, L15, HH15, and LHL15 were 27402 counts/minute, 24680 counts/minute, 76026 counts/minute, 0.901, and 0.775, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"GSAfig120240606.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-4665806/v1/968915258ff7aea72db367be.png\"},{\"id\":61178018,\"identity\":\"f5b3f2e3-d7ae-4453-b7d7-c58fc8f18ab0\",\"added_by\":\"auto\",\"created_at\":\"2024-07-26 15:56:25\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":194987,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eSUV analysis of the same patient as in Fig. 1. (A-D) Images for analysis of the heart. (E-H) Images for analysis of the liver. (A, C, E, G) A selected VOI over the MIP images of SPECT. Results of SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH, SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH, SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL, and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL were 11.56, 10.77, 12.85, and 12.35, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"GSAfig220240606.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-4665806/v1/fa213e58470890865dbb14fe.png\"},{\"id\":61178913,\"identity\":\"799d0d02-2a9f-4573-8d60-6bb232f6d4c8\",\"added_by\":\"auto\",\"created_at\":\"2024-07-26 16:04:25\",\"extension\":\"png\",\"order_by\":3,\"title\":\"Figure 3\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":223041,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eReceiver-operating characteristic curve for prediction of 7-day survival (A-H), 14-day survival (I, J), and 28-day survival (K).\\u003cem\\u003e HH15\\u003c/em\\u003e, uptake ratio of the heart at 15 minutes to that at 3 minutes; \\u003cem\\u003eMELD\\u003c/em\\u003e, model for end-stage liver disease; \\u003cem\\u003eSUVbvMaxH\\u003c/em\\u003e, maximum SUV of the heart normalized by blood volume; \\u003cem\\u003eSUVbvPeakH\\u003c/em\\u003e, peak SUV of the heart normalized by blood volume; \\u003cem\\u003eSUVbwMaxH\\u003c/em\\u003e, maximum SUV of the heart normalized by body weight;\\u003cem\\u003eSUVbwMaxL\\u003c/em\\u003e, maximum SUV of the liver normalized by body weight; \\u003cem\\u003eSUVbwPeakH\\u003c/em\\u003e, peak SUV of the heart normalized by body weight; \\u003cem\\u003eSUVbwPeakL\\u003c/em\\u003e, peak SUV of the liver normalized by body weight; \\u003cem\\u003eSUVjlbwMaxH\\u003c/em\\u003e, maximum SUV of the heart normalized by Japanese lean body weight; \\u003cem\\u003eSUVjlbwMaxL\\u003c/em\\u003e, maximum SUV of the liver normalized by Japanese lean body weight; \\u003cem\\u003eSUVjlbwPeakH\\u003c/em\\u003e, peak SUV of the heart normalized by Japanese lean body weight; \\u003cem\\u003eSUVjlbwPeakL\\u003c/em\\u003e, peak SUV of the liver normalized by Japanese lean body weight; \\u003cem\\u003eSUVlbwMaxH\\u003c/em\\u003e, maximum SUV of the heart normalized by lean body weight; \\u003cem\\u003eSUVlbwMaxL\\u003c/em\\u003e, maximum SUV of the liver normalized by lean body weight; \\u003cem\\u003eSUVlbwPeakH\\u003c/em\\u003e, peak SUV of the heart normalized by lean body weight; \\u003cem\\u003eSUVlbwPeakL\\u003c/em\\u003e, peak SUV of the liver normalized by lean body weight.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"GSAfig320240608.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-4665806/v1/93e2c6f41914649580b90fde.png\"},{\"id\":64619240,\"identity\":\"8741a3c5-28c1-419d-8d2c-3a77c2b100d7\",\"added_by\":\"auto\",\"created_at\":\"2024-09-16 16:13:14\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":1522244,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-4665806/v1/8e0a6510-455f-4788-b858-914c70f07e60.pdf\"}],\"financialInterests\":\"\",\"formattedTitle\":\"Blood-pool SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) normalized by blood volume for prediction of short-term survival in severe liver failure: preliminary report\",\"fulltext\":[{\"header\":\"Introduction\",\"content\":\"\\u003cp\\u003eLiver failure is one of the most lethal factors in multiple organ dysfunction syndrome, and severe hepatic dysfunction sometimes requires admission to the intensive care unit [1\\u0026ndash;4]. The severity of critical ill patients with liver failure can be evaluated by the model for end-stage liver disease (MELD), which is useful for prediction of 3-month survival [2\\u0026ndash;5]. On the other hand, we reported that findings of 99mTc GSA scintigraphy are of value for 28-day survival using the index of the uptake ratio of the heart at 15 minutes to that at 3 minutes (HH15) and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes (LHL15) [1]. But the usefulness of these indexes for survival for a very short term, i.e., within 28 days of scintigraphy, has not been sufficiently discussed. Thus, here we evaluated the usefulness of the MELD score and 99mTc GSA scintigraphy for 7-day, 14-day, and 28-day survival. We performed SUV analysis of the 99m-Tc GSA scintigram as well as analysis of the MELD score and HH15 and LHL15 indexes because of concerns that the latter two measurements require discrimination of the cardiac and liver regions on planar images, which is difficult to do (strong remnants of 99mTc GSA in the blood pool of the heart and less physiological accumulation in severely diseased livers). SUV analysis has been more prevalent on the clinical scene recently. Moreover, we evaluated the usefulness of SUV analysis of 99mTc-GSA scintigraphy including SUV analysis of the cardiac blood pool normalized by blood volume, which makes sense theoretically. There are significant differences between this report (ethics approval number 342\\u0026thinsp;\\u0026minus;\\u0026thinsp;239) and the one published ten years ago investigating the usefulness of HH15 and LHL15 for 28-days survival (ethics approval number 24-5006); we evaluated survival for a shorter period and mainly evaluated SUV analysis, which is different index from HH15 or LHL15. Additionally, patients in the previous report were recruited from 1999 to 2006 and patients in this report were recruited from 2012 to 2023 without overlap of patients [1].\\u003c/p\\u003e\"},{\"header\":\"Patients and methods\",\"content\":\"\\u003cdiv id=\\\"Sec3\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003ePatients\\u003c/h2\\u003e \\u003cp\\u003e This retrospective study was approved by our hospital\\u0026rsquo;s institutional review board (ethics approval number 342\\u0026thinsp;\\u0026minus;\\u0026thinsp;239), and the requirement for direct informed consent was waived. From May 2012 and February 2023 at our hospital, 99mTc-GSA scintigraphy including SPECT was performed in 25 patients with hepatic failure who had been admitted to the intensive care unit of our hospital. We excluded one patient because the patient was under 18 years old. Finally, we evaluated the remaining 24 cases. We calculated the MELD score using serum bilirubin, serum creatinine, and prothrombin time-international normalized ratio [5]. Patient characteristics are summarized in Table\\u0026nbsp;1. For investigation of the prediction of short-term survival, we divided patients into survival (SV) and non-survival (NSV) groups at 7, 14, and 28 days from 99mTc-GSA scintigraphy.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec4\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e99mTc-GSA scintigraphy\\u003c/h2\\u003e \\u003cp\\u003eSPECT/CT scans were obtained by a SPECT/CT scanner (Discovery NM/CT 670 pro, GE Healthcare, Tokyo, Japan) equipped with a 16-slice CT scanner for attenuation correction. At 3 and 15 minutes after intravenous administration of 3 mg of 99mTc-GSA (185 MBq; Nihon Medi-physics Co, Ltd, Tokyo, Japan), dynamic planar images were obtained; then SPECT/CT images of the heart and liver were performed. The SPECT/CT scan was acquired using a low-energy high-resolution collimator, a 128 \\u0026times; 128 matrix with 4.4-mm pixel size, and a total of 60 projections (30 steps) over 360\\u0026deg; with a dwell time of 10 s/step. After the SPECT acquisition, a low-dose CT transmission scan was performed with 120 kV, 10 mA using a 512 \\u0026times; 512 matrix size. The CT data were generated with 4.4-mm slice thickness.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec5\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eMeasurement of HH15 and LHL15\\u003c/h2\\u003e \\u003cp\\u003eIndexes of HH15 and LHL15 were calculated on planar images [1, 6, 7]. We calculated the uptake ratio of the heart at 15 minutes to that at 3 minutes as HH15 and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes as LHL15. While the HH15 ratio reflects the rate of disappearance in blood, the LHL15 ratio reflects the rate of accumulation in the liver. A representative case is shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec6\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eSUV measurement\\u003c/h2\\u003e \\u003cp\\u003eQuantitative SPECT/CT parameters normalized by body weight were calculated using a commercial software package (GI-BONE, AZE Co., Tokyo) that is widely available in Japan. The maximum and the peak SUV normalized by body weight (SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak) were calculated for quantitative analysis of 99mTc-GSA uptake as follows: SUV\\u003csub\\u003ebw\\u003c/sub\\u003e = (tissue radioactivity/voxel volume) / (injected radioactivity/body weight), where \\u0026lsquo;tissue radioactivity\\u0026rsquo; indicates the tissue radioactivity concentration measured by SPECT. The tissue radioactivity concentration was obtained by multiplying the SPECT counts and Becquerel calibration factor, which was determined by scanning a cylindroid phantom filled with a known radioactivity concentration. The following were also calculated: SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax = (max. radioactivity/voxel volume) / (injected radioactivity/body weight) and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak = (averaged radioactivity obtained within a 1-cm\\u003csup\\u003e3\\u003c/sup\\u003e sphere of interest centered on the voxel of the SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax/voxel volume) / (injected radioactivity/ body weight).\\u003c/p\\u003e \\u003cp\\u003eWe determined the SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak data of the blood-pool of the heart (SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH) and those of the liver (SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL). A representative case is shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003eSUVs of both the heart and liver corrected by lean body weight (lbw) and Japanese lean body weight (jlbw), and blood volume (bv) based on following equations were used to calculate normalized SUV variations:\\u003c/p\\u003e \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003e = SUV\\u003csub\\u003ebw\\u003c/sub\\u003e \\u0026times; lean body weight (kg) / body weight (kg)\\u003c/p\\u003e \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003e = SUV\\u003csub\\u003ebw\\u003c/sub\\u003e \\u0026times; Japanese lean body weight (kg) / body weight (kg)\\u003c/p\\u003e \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003e = 10 \\u0026times; SUV\\u003csub\\u003ebw\\u003c/sub\\u003e \\u0026times; blood volume (L) / body weight (kg)\\u003c/p\\u003e \\u003cp\\u003eLean body weight, Japanese lean body weight, and blood volume were estimated as follows [8\\u0026ndash;10]:\\u003c/p\\u003e \\u003cp\\u003eLean body weight (male)\\u0026thinsp;=\\u0026thinsp;1.10 \\u0026times; body weight (kg) -128 \\u0026times; (body weight (kg) / height (cm)) \\u003csup\\u003e2\\u003c/sup\\u003e\\u003c/p\\u003e \\u003cp\\u003eLean body weight (female)\\u0026thinsp;=\\u0026thinsp;1.07 \\u0026times; body weight (kg) -148 \\u0026times; (body weight (kg) / height (cm)) \\u003csup\\u003e2\\u003c/sup\\u003e\\u003c/p\\u003e \\u003cp\\u003eJapanese lean body weight (male)\\u0026thinsp;=\\u0026thinsp;28.27 \\u0026times; height (m)\\u0026thinsp;+\\u0026thinsp;0.359 \\u0026times; body weight (kg) \\u0026minus;\\u0026thinsp;0.032 \\u0026times; age (year) \\u0026minus;\\u0026thinsp;21.83\\u003c/p\\u003e \\u003cp\\u003eJapanese lean body weight (female)\\u0026thinsp;=\\u0026thinsp;26.12\\u0026times;height (m)\\u0026thinsp;+\\u0026thinsp;0.253 \\u0026times; body weight (kg) \\u0026minus;\\u0026thinsp;0.022 \\u0026times; age (year) -19.58\\u003c/p\\u003e \\u003cp\\u003eBlood volume (male)\\u0026thinsp;=\\u0026thinsp;0.417 \\u0026times; height (m) 3\\u0026thinsp;+\\u0026thinsp;0.0450 \\u0026times; body weight (kg) -0.030\\u003c/p\\u003e \\u003cp\\u003eBlood volume (female)\\u0026thinsp;=\\u0026thinsp;0.414 \\u0026times; height (m) 3\\u0026thinsp;+\\u0026thinsp;0.0328 \\u0026times; body weight (kg) -0.030\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec7\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eStatistical analysis\\u003c/h2\\u003e \\u003cp\\u003eWe calculated the correlation of SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax versus SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak of the heart and liver Spearman\\u0026rsquo;s correlation test. For evaluation of patient characteristics, we compared age, body weight, and height between females and males using the Mann\\u0026ndash;Whitney U test. For the evaluation of results of 99m-GSA examination, the SUVs, HH15, LHL15, and MELD scores were compared between SV and NSV groups using the Mann\\u0026ndash;Whitney U test. In all analyses, a probability (p)-value\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.05 was accepted as significant. Receiver-operating characteristic (ROC) analyses were performed in categories with significant differences. The Youden index was used to determine the optimal cutoff values. Comparisons of the areas under the curve (AUCs) between several results were performed using the DeLong method [11]. Statistical analyses were performed using EZR software (Saitama Medical Center, Jichi Medical University, Saitama, Japan), the graphical user interface for R [12].\\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"Results\",\"content\":\"\\u003cp\\u003eThe clinical characteristics of patients are shown in Table 1. There were no significant differences in age between the female and male groups, whereas sex-based differences in body weight and height were significant. SUV\\u003csub\\u003ebw\\u003c/sub\\u003e and survival status from 99mTc GSA scintigraphy of each of the 24 cases are shown in Table 2.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eCorrelations between the SUVmax and SUVpeak values\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThere were significant and strong correlations between the SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax and SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak values of both the heart and the liver. The correlation coefficients were SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH vs. SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH, 0.993 (p \\u0026lt; 0.00001), and SUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL vs. SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL, 0.999 (p \\u0026lt; 0.00001).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eComparison of SUVs between the SV and NSV groups, and the ROC analysis\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eRegarding 7-day survival, the SV and NSV groups showed statistically significant differences for all kinds of SUVs and for HH15 while LHL15 and the MELD score showed no significant difference (Table 3). Results of ROC analysis are shown in Table 4 and Figure 3. Although there was no statistically significant difference among AUCs of all SUVs and HH15 by the DeLong method, the AUCs of SUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH and SUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH were higher than those of other SUVs or HH15.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eRegarding 14-day survival, the SV and NSV groups showed statistically significant differences in SUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxH, SUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakH, SUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH, and SUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH but did not show differences in other SUVs, HH15, LHL15, or MELD scores (Table 3). Results of ROC analysis are described in Table 4 and Figure 3. Although there were no statistically significant differences among SUVs by the DeLong method, the AUCs of SUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH and SUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH were higher than those of SUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxH or SUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakH.\\u003c/p\\u003e\\n\\u003cp\\u003eRegarding 28-day survival, the SV and NSV groups showed statistically significant differences in MELD scores, but not in any SUVs, HH15, or LHL15 (Table 3). Results of ROC analysis are shown in Table 4 and Figure 3.\\u0026nbsp;\\u003c/p\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cp\\u003eThe results of this study revealed that our proposed method of analyzing the SUV of 99mTc-GSA is both simple and objective, requiring no specific imaging techniques or extensive experience in image interpretation; the analysis also showed sufficient value for prediction of short-term survival in case of severe liver failure.\\u003c/p\\u003e \\u003cp\\u003eEstimating the prognosis of patients with severe liver failure is an important matter, and MELD score is still the most widely used severity-of-liver disease scoring system; one benefit is that it can also be used in the field of intensive care [1,13\\u0026ndash;15]. However, reports regarding the usefulness of MELD score are limited, especially in intensive care medicine, and conditions with no possibility of recovery or prediction of short-term survival in case of severe liver failure needs further attention, given that intensive care for severely ill patient requires significant medical resources. Thus, we consider that our results of SUV analysis of 99mTc-GSA may become an important reference for appropriate use of medical resources with severe liver dysfunction [1].\\u003c/p\\u003e \\u003cp\\u003eFor evaluation of liver function, HH15 and LHL15 estimated from planar images of 99mTc-GSA scintigraphy have been widely employed in Japan, and many reports of their usefulness for preoperative evaluation for liver surgery, prognosis for liver failure, and evaluation of liver fibrosis severity have been published [1, 6, 7, 16\\u0026ndash;20]. But HH15 and LHL15 are considered less reproducible than other measures; the manner of setting the ROI of the heart and the liver for calculating HH15 and LHL15 differs among institutions, resulting in different absolute values [18, 19, and 21]. On the other hand, SUV analysis of SPECT has come into wide use in clinical science worldwide and can provide higher inter- and intra- operator reproducibility [22, 23]. Thus, SUV analysis of SPECT images of 99mTc GSA scintigraphy has clear advantages over HH15 or LHL15 from planar images.\\u003c/p\\u003e \\u003cp\\u003eEspecially in cases with severe liver failure, various factors can affect the measurement of HH15 and LHL15. Strong accumulation of the blood pool of the heart and less accumulation in the liver makes it difficult to set boundaries of the liver and the heart for placement of ROIs on a planar image, and the resulting ROIs counts are considered less reliable because of this overlap of heart and liver. On the other hand, SUV analysis using volumes of interest of the heart and liver on SPECT images with reference to the SPECT/CT image may be both easier and more reliable.\\u003c/p\\u003e \\u003cp\\u003eMoreover, we must pay attention to the mechanism of distribution of 99m-Tc GSA especially in case of severe liver failure. Residual blood-pool accumulation of the liver can disturb estimations of physiological liver uptake, and apparently stronger accumulation of the liver can be caused in cases with severe liver failure. Thus, we consider the SUV of residual blood-pool accumulation of the heart to be more reliable than that of the liver; indeed, our results showed concordance with this hypothesis.\\u003c/p\\u003e \\u003cp\\u003eSeveral normalization methods of the SUV have been proposed, for example normalization by body weight, lean body weight, and body surface area [24, 25]. We developed a normalization of SUV by blood volume. We hypothesized that the SUV of the blood pool normalized by blood volume would be the best method for evaluation of residual tracer in the blood pool theoretically. Although the results were not statistically significant in our small cohort, we were not surprised to find that the AUC of SUV analysis of the heart normalized by blood volume was higher than SUV analyses normalized by body weight, lean body weight, or Japanese lean body weight for prediction of 7-day survival and higher than that of Japanese lean body weight for 14-day survival.\\u003c/p\\u003e \\u003cp\\u003eAs for the liver, we consider that the SUV of the liver should be normalized by liver volume or that total liver uptake would provide a more meaningful measure. However, in terms of applicability to intensive care settings, it is difficult to evaluate liver volume quickly in our SPECT/CT protocol; furthermore, evaluation of liver volume from SPECT images in the same manner as in the previous report is difficult in cases with severe liver failure due to strong accumulation of the blood pool around the liver [26\\u0026ndash;28]. Thus, we abandoned the search for an evaluation method for total liver uptake in the present work. Further investigation is needed for evaluation of liver uptake of 99mTc-GSA.\\u003c/p\\u003e \\u003cp\\u003eFindings for 28-day survival were not significant for all SUVs, HH15, or LHL15, although our previous report showed significant differences for HH15 and LHL15 [1]. This discrepancy may be due to patient selection bias because we recruited fewer patients and those with more severe disease in the present report than the previous one. Further investigation with large-scale trials is needed, although recruitment of patients with severe liver failure may be difficult.\\u003c/p\\u003e \\u003cp\\u003eThere are some study limitations to address. This was a retrospective analysis with a relatively small number of patients. Large prospective studies are needed to validate our results. Selection bias may have affected our results, as patients with different causes of liver failure were recruited in this report.\\u003c/p\\u003e \\u003cp\\u003eIn conclusion, the SUV analysis of 99mTc-GSA that we have described is of value for the prediction of short-term survival in patients with severe liver failure. Our results provide a foundation for the quantitative analysis of blood pool imaging using evaluation of SUV normalized by blood volume.\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eFunding\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis research was supported by a research grant from Sapporo Medical University.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConflict of interest\\u0026nbsp;\\u003c/strong\\u003eHiroomi Tatsumi received lecture fee from Otsuka Pharmaceutical Factory, Inc. The other authors have no potential conflicts of interest to report.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n\\u003cli\\u003eTatsumi H, Masuda Y, Imaizumi H, Yoshida S, Goto K, Yama N, Mizuguchi T, Hirata K. Asialoglycoprotein receptor scintigraphy with 99mTc-galactosyl human serum albumin (99mTc-GSA) as an early predictor of survival in acute liver failure. Anaesth Intensive Care. 2013; 41:523-8.\\u003c/li\\u003e\\n\\u003cli\\u003eWiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P, Kremers W, Lake J, Howard T, Merion RM, Wolfe RA, Krom R; United Network for Organ Sharing Liver Disease Severity Score Committee. Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology. 2003; 124:91-6.\\u003c/li\\u003e\\n\\u003cli\\u003eKamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, D\\u0026apos;Amico G, Dickson ER, Kim WR. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001; 33:464-70\\u003c/li\\u003e\\n\\u003cli\\u003eWiesner RH, McDiarmid SV, Kamath PS, Edwards EB, Malinchoc M, Kremers WK, Krom RA, Kim WR. MELD and PELD: application of survival models to liver allocation. Liver Transpl. 2001; 7:567-80.\\u003c/li\\u003e\\n\\u003cli\\u003eM Malinchoc 1, P S Kamath, F D Gordon, C J Peine, J Rank, P C ter Borg. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology. 2000; 31:864-71.\\u003c/li\\u003e\\n\\u003cli\\u003eKwon AH, Ha-Kawa SK, Uetsuji S, Kamiyama Y, Tanaka Y. Use of technetium 99m diethylenetriamine-pentaacetic acid-galactosyl-human serum albumin liver scintigraphy in the evaluation of preoperative and postoperative hepatic functional reserve for hepatectomy. Surgery.1995; 117:429-34. \\u003c/li\\u003e\\n\\u003cli\\u003eShiomi S, Kuroki T, Kuriyama M, Takeda T, Nishiguchi S, Nakajima S, Tanaka T, Ochi H. Evaluation of fulminant hepatic failure by scintigraphy with technetium-99m-GSA. J Nucl Med. 1997; 38:79-82.\\u003c/li\\u003e\\n\\u003cli\\u003eIto H, Ohshima A, Ohto N, Ogasawara M, Tsuzuki M, Takao K, Hijii C, Tanaka H, Nishioka K. Relation between body composition and age in healthy Japanese subjects. Eur J Clin Nutr. 2001; 55:462-70.\\u003c/li\\u003e\\n\\u003cli\\u003eW. P. T. James. Research on obesity: a report of the DHSS/MRC group, Department of Health and Social Security / Medical Research Council, 1976, London, HMSO.\\u003c/li\\u003e\\n\\u003cli\\u003eNadler SB, Hidalgo JH, Bloch T. Prediction of blood volume in normal human adults. Surgery. 1962; 51:224-32.\\u003c/li\\u003e\\n\\u003cli\\u003eDeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44:837\\u0026ndash;45.\\u003c/li\\u003e\\n\\u003cli\\u003eKanda Y. Investigation of the freely available easy-to-use software \\u0026apos;EZR\\u0026apos; for medical statistics. Bone Marrow Transplant. 2013; 48:452-8.\\u003c/li\\u003e\\n\\u003cli\\u003eLindvig KP, Teisner AS, Kjeldsen J, Str\\u0026oslash;m T, Toft P, Furhmann V, Krag A. Allocation of patients with liver cirrhosis and organ failure to intensive care: Systematic review and a proposal for clinical practice. World J Gastroenterol. 2015; 21:8964-73.\\u003c/li\\u003e\\n\\u003cli\\u003eHoti E, Azoulay D, Icha\\u0026iuml; P, Habouchi H, Castaing D, Samuel D, Saliba F. Prospective evaluation of the prognostic scores for cirrhotic patients admitted to an intensive care unit. Levesque E, J Hepatol. 2012; 56:95-102.\\u003c/li\\u003e\\n\\u003cli\\u003eSingh N, Gayowski T, Wagener MM, Marino IR. Outcome of patients with cirrhosis requiring intensive care unit support: prospective assessment of predictors of mortality. J Gastroenterol. 1998; 33:73-9.\\u003c/li\\u003e\\n\\u003cli\\u003eShiomi S, Kuroki T, Enomoto M, Ueda T, Masaki K, Ikeoka N, Takeda T, Kobayashi K, Ochi H. Fulminant hepatic failure monitored by technetium-99m-DTPA-galactosyl-human serum albumin scintigraphy. J Nucl Med. 1996; 37:641-3.\\u003c/li\\u003e\\n\\u003cli\\u003eSuzuki Y, Kakisaka K, Sato T, Mikami R, Abe H, Sasaki T, Takikawa Y. Tc-99m GSA scintigraphy within the first 3 days after admission as an early predictor of outcome in severe acute liver injury. Sci Rep. 2021; 11:12518\\u003c/li\\u003e\\n\\u003cli\\u003eOgasawara G, Inoue Y, Itoh Y, Tagami S, Matsunaga K, Miki K. Improved reproducibility of simple quantitative indices from 99mTc-GSA liver functional imaging. Ann Nucl Med. 2013; 27:487-91.\\u003c/li\\u003e\\n\\u003cli\\u003eNakajima K, Kinuya K, Mizutani Y, Hwang EH, Michigishi T, Tonami N, Kobayashi K. Simple scintigraphic parameters with Tc-99m galactosyl human serum albumin for clinical staging of chronic hepatocellular dysfunction. Ann Nucl Med. 1999; 13:5-11.\\u003c/li\\u003e\\n\\u003cli\\u003eItano S, Sata M, Kumashiro R, Hirai K, Tanikawa K. Usefulness of technetium-99m-galactosyl human serum albumin liver scintigraphy for assessment of severity of alcoholic hepatitis. Alcohol Clin Exp Res.1996; 20(1 Suppl):86A-90A.\\u003c/li\\u003e\\n\\u003cli\\u003eKoizumi M, Yamada Y, Nomura E, Takiguchi T, Kokudo N. An easy and reproducible semi-automatic method for the evaluation of 99mTc-galactosyl human serum albumin. Ann Nucl Med. 1997; 11:345-8.\\u003c/li\\u003e\\n\\u003cli\\u003eRen C, Ren J, Tian Z, Du Y, Hao Z, Zhang Z, Fang W, Li F, Zhang S, Hsu B, Huo L. Assessment of cardiac amyloidosis with (99m)Tc-pyrophosphate (PYP) quantitative SPECT. EJNMMI Phys. 2021; 8:3.\\u003c/li\\u003e\\n\\u003cli\\u003eDorbala S, Park MA, Cuddy S, Singh V, Sullivan K, Kim S, Falk RH, Taqueti VR, Skali H, Blankstein R, Bay C, Kijewski MF, Di Carli MF. Absolute Quantitation of Cardiac (99m)Tc-Pyrophosphate Using Cadmium-Zinc-Telluride-Based SPECT/CT. J Nucl Med. 2021; 62:716-22.\\u003c/li\\u003e\\n\\u003cli\\u003eSarikaya I, Sarikaya A. Assessing PET Parameters in Oncologic (18) F-FDG Studies. J Nucl Med Technol. 2020; 48:278-82.\\u003c/li\\u003e\\n\\u003cli\\u003eKim CK, Gupta NC, Chandramouli B, Alavi A. Standardized uptake values of FDG: body surface area correction is preferable to body weight correction. J Nucl Med. 1994; 35:164-7\\u003c/li\\u003e\\n\\u003cli\\u003eTokorodani R, Sumiyoshi T, Okabayashi T, Hata Y, Noda Y, Morita S, Daisaki H, Okada Y, Yasuda E. Liver fibrosis assessment using 99mTc-GSA SPECT/CT fusion imaging Jpn J Radiol. 2019; 37:315-20\\u003c/li\\u003e\\n\\u003cli\\u003eTokorodani R, Kume T, Daisaki H, Hayashi N, Iwasa H, Yamagami T. Combining 99mTc-GSA single-photon emission-computed tomography and Gd-EOB-DTPA-enhanced magnetic resonance imaging for staging liver fibrosis. Medicine (Baltimore) 2023; 102:e32975.\\u003c/li\\u003e\\n\\u003cli\\u003eTaniguchi M, Okizaki A, Watanabe K, Imai K, Uchida K, Einama T, Shuke N, Miyokawa N, Hiroyuki Furukawa. Hepatic clearance measured with (99m) Tc-GSA single-photon emission computed tomography to estimate liver fibrosis. World J Gastroenterol. 2014; 20:16714-20.\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"},{\"header\":\"Tables\",\"content\":\"\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"504\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"61.111111111111114%\\\" colspan=\\\"2\\\" valign=\\\"bottom\\\" style=\\\"width: 60.9128%;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTable 1\\u003c/strong\\u003e Patient characteristics (n = 24)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4205%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eGender (%):\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eFemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e12(50)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e12(50)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eAge, yrs.:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMean \\u0026plusmn; SD (range)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e60.7 \\u0026plusmn; 14.2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(27.2 - 80.3)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Female\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e58.5 \\u0026plusmn; 17.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(27.2 - 80.3)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep = 0.583\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Male\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e62.9 \\u0026plusmn; 10.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(49.2 - 79.6)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eBody weight, kg:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMean \\u0026plusmn; SD (range)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e63.7 \\u0026plusmn; 11.43\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(42.9 - 87.0)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Female\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e57.3 \\u0026plusmn; 10.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(42.9 - 82.4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep = 0.002\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Male\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e70.2 \\u0026plusmn; 9.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(61.4 - 87.0)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eheight, cm:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMean \\u0026plusmn; SD (range)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e159.9 \\u0026plusmn; 7.9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(147.4 - 176.0)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Female\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e154.3 \\u0026plusmn; 4.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(147.4 - 162.0)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep \\u0026lt; 0.001\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Male\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e165.4 \\u0026plusmn; 6.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(155.1 - 176.0)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eCause of liver dysfunction\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Sepsis/septic shock\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e7\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(29)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Drug induced liver damage\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(25)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Autoimmune hepatitis\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(17)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Postoperative liver failure\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(8)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePost massive hemorrhage\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(8)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Alcoholic hepatitis\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Hepatitis B\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"40.27777777777778%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;Cardiac failure\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"20.833333333333332%\\\" valign=\\\"bottom\\\" style=\\\"width: 20.8334%;\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"22.42063492063492%\\\" valign=\\\"bottom\\\" style=\\\"width: 22.4206%;\\\"\\u003e\\n \\u003cp\\u003e(4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"16.46825396825397%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"4\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eCategorical variables are n (%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"662\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\" colspan=\\\"14\\\" valign=\\\"top\\\" style=\\\"width: 99.8611%;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTable 2\\u0026nbsp;\\u003c/strong\\u003ePatient characteristics and parameters\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003eNo\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003eAge (yrs)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003eGender\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003eheight (cm)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003eweight (kg)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003eHH15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003eLHL15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eMELD\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eDS (day)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e61.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e164.5\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e63.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e8.82\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e8.30\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e44.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e43.01\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.596\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.817\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e27\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e51.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e176.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e77.8\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e9.57\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e9.13\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e24.77\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e24.07\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.671\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.909\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e34\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e71.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e157.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e61.5\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e17.01\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e15.89\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e25.84\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e24.69\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.851\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.705\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e31\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e39.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e153.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e55.1\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e10.15\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e9.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e17.03\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e16.14\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.865\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.863\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e33\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e76.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e151.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e59.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e21.89\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e20.68\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e20.35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e19.19\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.871\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.635\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e19\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e79.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e165.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e63.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.32\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e10.44\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e15.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e15.14\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.781\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.855\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e7\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e57.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e157.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e50.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.61\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e10.38\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e15.53\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e14.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.887\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.666\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e31\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e27.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e156.5\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e50.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e13.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e12.93\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e11.28\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e10.51\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.856\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.626\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e30\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e46.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e152.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e42.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e16.11\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e14.62\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e11.35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e10.63\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.837\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.872\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e34\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e10\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e66.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e164.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e82.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e12.53\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e11.75\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e36.10\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e34.70\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.719\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.888\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e34\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e16\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e11\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e56.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e150.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e60.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e16.44\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e15.50\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e17.03\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e16.04\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.872\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.742\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e33\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e12\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e76.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e158.8\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e73.1\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e14.37\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e13.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e28.90\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e27.74\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.858\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.814\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e38\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e13\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e65.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e174.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e75.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.75\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e10.97\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e34.39\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e33.19\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.798\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.854\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e14\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e14\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e58.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e162.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e61.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.95\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e11.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e10.36\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e9.77\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.924\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.740\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e33\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e76.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e151.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e63.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e10.20\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e9.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e37.40\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e36.17\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.789\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.842\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e29\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e16\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e49.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e169.5\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e63.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e10.77\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e12.85\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e12.35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.901\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.755\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e36\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e17\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e39.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e162.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e49.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e6.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e6.52\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e22.03\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e20.61\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.678\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.880\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e29\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e18\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e63.8\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e160.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e58.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e12.28\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e11.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e22.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e21.28\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.852\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.729\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e31\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e19\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e58.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e166.1\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e70.8\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e8.34\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e7.86\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e31.63\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e30.51\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.762\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.842\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e16\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e20\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e76.9\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e151.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e62.8\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e20.51\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e19.27\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e19.66\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e18.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.885\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.453\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e33\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e21\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e80.3\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e147.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e50.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e8.48\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e8.11\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e33.51\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e32.15\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.732\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.889\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e33\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e22\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e66.6\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e172.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e87.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e11.18\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e10.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e32.28\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e30.93\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.804\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.702\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e31\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e12\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e23\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e61.7\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003efemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e160.0\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e82.4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e16.08\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e14.96\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e22.60\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e21.41\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.860\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.785\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e15\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003eSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"3.933434190620272%\\\"\\u003e\\n \\u003cp\\u003e24\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.7155824508320725%\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e49.2\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003emale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e155.1\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.959152798789712%\\\"\\u003e\\n \\u003cp\\u003e62.1\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e13.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.741301059001513%\\\"\\u003e\\n \\u003cp\\u003e12.76\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.287443267776096%\\\"\\u003e\\n \\u003cp\\u003e20.50\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.43872919818457%\\\"\\u003e\\n \\u003cp\\u003e19.11\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"5.900151285930408%\\\"\\u003e\\n \\u003cp\\u003e0.834\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.80786686838124%\\\"\\u003e\\n \\u003cp\\u003e0.840\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e40\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"6.505295007564296%\\\"\\u003e\\n \\u003cp\\u003e11\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"14\\\" valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eDS\\u003c/em\\u003e duration of survival\\u003cem\\u003e, HH15\\u003c/em\\u003e uptake ratio of the heart at 15 minutes to that at 3 minutes,\\u003cem\\u003e\\u0026nbsp;LHL15\\u003c/em\\u003e uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes, \\u003cem\\u003eMELD\\u003c/em\\u003e score of model for end-stage liver disease, \\u003cem\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH\\u003c/em\\u003e SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax of the heart, \\u003cem\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL\\u003c/em\\u003e SUV\\u003csub\\u003ebw\\u003c/sub\\u003emax of the liver, \\u003cem\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH\\u003c/em\\u003e SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak of the heart, \\u003cem\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL\\u003c/em\\u003e SUV\\u003csub\\u003ebw\\u003c/sub\\u003epeak of the liver, \\u0026nbsp;\\u003cem\\u003eSV\\u003c/em\\u003e survival over 28th day from 99mTc-GSA scintigraphy\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"898\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"10\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTable 3\\u0026nbsp;\\u003c/strong\\u003eComparison between survival group and non-survival group at 7 days, 14 days, and 28 days\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eGroups\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7-day SV\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7-day NSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e14-day SV\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e14-day NSV\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e28-day SV\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e28-day NSV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eN (Female)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e18 (9)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e6 (3)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep-values\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e15 (8)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e9 (4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep-values\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e12(8)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e12(4)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ep-values\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e11.66 \\u0026plusmn; 2.87\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e16.07 \\u0026plusmn; 4.33\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.027*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e11.78 \\u0026plusmn; 3.01\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e14.39 \\u0026plusmn; 4.43\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.194\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e12.01 \\u0026plusmn; 3.21\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e13.51 \\u0026plusmn; 4.20\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.443\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e10.95 \\u0026plusmn; 2.66\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e15.04 \\u0026plusmn; 4.08\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.027*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e11.05 \\u0026plusmn; 2.79\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e13.51 \\u0026plusmn; 4.13\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.155\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e11.26 \\u0026plusmn; 2.98\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e12.68 \\u0026plusmn; 3.93\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.378\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e8.57 \\u0026plusmn; 1.97\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e11.83 \\u0026plusmn; 2.30\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.003*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e8.65 \\u0026plusmn; 2.01\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e10.62 \\u0026plusmn; 2.78\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.064\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e8.77 \\u0026plusmn; 2.15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e10.00 \\u0026plusmn; 2.69\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.266\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e8.05 \\u0026plusmn; 1.82\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e11.07 \\u0026plusmn; 2.14\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.008*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e8.11 \\u0026plusmn; 1.85\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e9.96 \\u0026plusmn; 2.57\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.074\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e8.23 \\u0026plusmn; 1.99\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e9.39 \\u0026plusmn; 2.50\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.273\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.43 \\u0026plusmn; 1.74\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e10.19 \\u0026plusmn; 1.56\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.003*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e7.49 \\u0026plusmn; 1.74\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e9.17 \\u0026plusmn; 2.23\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.041*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.54 \\u0026plusmn; 1.87\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.70 \\u0026plusmn; 2.16\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.160\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e6.98 \\u0026plusmn; 1.61\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e9.53 \\u0026plusmn; 1.43\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.006*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e7.02 \\u0026plusmn; 1.60\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.61 \\u0026plusmn; 2.04\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.046*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.08 \\u0026plusmn; 1.72\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.16 \\u0026plusmn; 1.99\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.133\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.59 \\u0026plusmn; 1.81\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e10.28 \\u0026plusmn; 1.41\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.001*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e7.63 \\u0026plusmn; 1.80\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e9.30 \\u0026plusmn; 2.15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.021*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.62 \\u0026plusmn; 1.93\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.89 \\u0026plusmn; 2.08\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.078\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.12 \\u0026plusmn; 1.67\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e9.62 \\u0026plusmn; 1.32\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.001*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e7.16 \\u0026plusmn; 1.66\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.73 \\u0026plusmn; 1.99\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.021*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e7.15 \\u0026plusmn; 1.78\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e8.35 \\u0026plusmn; 1.92\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.078\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e25.83 \\u0026plusmn; 9.21\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e17.25 \\u0026plusmn; 7.11\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.042*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e25.25 \\u0026plusmn; 9.67\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e21.08 \\u0026plusmn; 8.81\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.283\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e23.05 \\u0026plusmn; 9.57\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e24.32 \\u0026plusmn; 9.58\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.795\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e24.70 \\u0026plusmn; 8.99\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e16.37 \\u0026plusmn; 6.85\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.047*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e24.16 \\u0026plusmn; 9.43\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e20.05 \\u0026plusmn; 8.53\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.290\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e22.00 \\u0026plusmn; 9.32\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e23.24 \\u0026plusmn; 9.32\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.799\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e19.13 \\u0026plusmn; 7.06\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e12.65 \\u0026plusmn; 4.67\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.047*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e18.73 \\u0026plusmn; 7.51\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e15.48 \\u0026plusmn; 6.09\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.290\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e17.00 \\u0026plusmn; 7.43\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e18.02 \\u0026plusmn; 6.95\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.630\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003eibw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e18.29 \\u0026plusmn; 6.89\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e12.01 \\u0026plusmn; 4.52\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.047*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e17.92 \\u0026plusmn; 7.32\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e14.72 \\u0026plusmn; 5.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.290\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e16.23 \\u0026plusmn; 7.23\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e17.21 \\u0026plusmn; 6.78\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.630\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e16.63 \\u0026plusmn; 6.36\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e10.93 \\u0026plusmn; 4.01\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.047*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e16.32 \\u0026plusmn; 6.83\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e13.36 \\u0026plusmn; 5.16\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.347\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e14.70 \\u0026plusmn; 6.70\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e15.72 \\u0026plusmn; 6.14\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.514\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epwakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e15.90 \\u0026plusmn; 6.20\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e10.38 \\u0026plusmn; 3.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.040*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e15.62 \\u0026plusmn; 6.65\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e12.70 \\u0026plusmn; 5.00\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.318\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e14.03 \\u0026plusmn; 6.50\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e15.02 \\u0026plusmn; 5.99\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.551\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eHH15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.789 \\u0026plusmn; 0.082\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.879 \\u0026plusmn; 0.031\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.006*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e0.789 \\u0026plusmn; 0.088\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e0.850 \\u0026plusmn; 0.057\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.096\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.797 \\u0026plusmn; 0.097\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e0.827 \\u0026plusmn; 0.066\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.590\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eLHL15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.802 \\u0026plusmn; 0.086\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.712 \\u0026plusmn; 0.149\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.172\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\"\\u003e\\n \\u003cp\\u003e0.800 \\u0026plusmn; 0.087\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e0.744 \\u0026plusmn; 0.137\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e0.340\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.785 \\u0026plusmn; 0.091\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\"\\u003e\\n \\u003cp\\u003e0.774 \\u0026plusmn; 0.129\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\"\\u003e\\n \\u003cp\\u003e1.000\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMELD score\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e31.4 \\u0026plusmn; 5.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e32.2 \\u0026plusmn; 6.7\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.330\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.590858416945373%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e30.8\\u0026plusmn;5.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e33.0 \\u0026plusmn; 6.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e0.176\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.479375696767%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e29.8 \\u0026plusmn; 5.2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.594202898550725%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e33.4 \\u0026plusmn; 5.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"7.357859531772576%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.015*\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"10\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eN number, NSV\\u003c/em\\u003e non survival, \\u003cem\\u003eSV\\u003c/em\\u003e survival\\u003c/p\\u003e\\n \\u003cp\\u003e* statistically significant\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"425\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"8\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTable 4\\u0026nbsp;\\u003c/strong\\u003eReceiver-operating characteristics curves of SUVs, HH15, and MELD score\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.230046948356808%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"72.7699530516432%\\\" colspan=\\\"7\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePrediction of survival on 7 day\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eCV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eAUC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSEN\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSPE\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eNPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eACC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e11.61\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.81\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.50\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.90\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.36\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.58\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e10.77\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.81\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.43\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e9.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.89\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.72\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.55\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.81\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.72\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.55\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.61\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.89\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.60\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.03\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.88\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.60\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.88\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.25\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.88\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e20.35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.72\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.93\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.50\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.75\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e19.19\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e13.89\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003elbw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e13.10\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.92\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e11.35\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.72\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.93\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.50\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.75\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakL\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e10.70\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.93\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.56\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eHH15\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.84\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.61\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e1.00\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.46\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.230046948356808%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"72.7699530516432%\\\" colspan=\\\"7\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePrediction of survival on 14 day\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eCV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eAUC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSEN\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSPE\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eNPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eACC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.61\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.76\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.80\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.86\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.70\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ejlbw\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.03\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.75\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.80\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.86\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.70\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003emaxH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.79\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSUV\\u003csub\\u003ebv\\u003c/sub\\u003epeakH\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e8.25\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.79\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.87\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.78\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.230046948356808%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"72.7699530516432%\\\" colspan=\\\"7\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePrediction of survival on 28 day\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eCV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eAUC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSEN\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eSPE\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003ePPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eNPV\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eACC\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"27.294117647058822%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003eMELD score\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\" valign=\\\"bottom\\\"\\u003e\\n \\u003cp\\u003e33.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.80\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.647058823529411%\\\"\\u003e\\n \\u003cp\\u003e0.67\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.352941176470589%\\\"\\u003e\\n \\u003cp\\u003e0.83\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"9.411764705882353%\\\"\\u003e\\n \\u003cp\\u003e0.80\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"10.588235294117647%\\\"\\u003e\\n \\u003cp\\u003e0.71\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd width=\\\"11.058823529411764%\\\"\\u003e\\n \\u003cp\\u003e0.75\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd width=\\\"100%\\\" colspan=\\\"8\\\" valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eACC\\u003c/em\\u003e accuracy, \\u003cem\\u003eAUC\\u003c/em\\u003e area under curve, \\u003cem\\u003eCV\\u003c/em\\u003e optimal cut off value, \\u003cem\\u003eNPV\\u003c/em\\u003e negative predictive value, \\u003cem\\u003ePPV\\u003c/em\\u003e positive predictive value, \\u003cem\\u003eSEN\\u003c/em\\u003e sensitivity, \\u003cem\\u003eSPE\\u003c/em\\u003e specificity\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\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\":true,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"annals-of-nuclear-medicine\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"anme\",\"sideBox\":\"Learn more about [Annals of Nuclear Medicine](http://link.springer.com/journal/12149)\",\"snPcode\":\"12149\",\"submissionUrl\":\"https://www.editorialmanager.com/anme/default2.aspx\",\"title\":\"Annals of Nuclear Medicine\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"em\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false},\"keywords\":\"\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-4665806/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-4665806/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003e\\u003cem\\u003ePurpose:\\u003c/em\\u003eThis study evaluated the usefulness of SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) scintigraphy including SUV analysis of the cardiac blood pool normalized by blood volume as a predictor of short-term survival in severe liver failure.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003ePatients and methods:\\u003c/em\\u003e We enrolled 24 patients with severe liver failure who underwent 99mTc-GSA scintigraphy and were admitted to the intensive care unit. Patients were divided into survival and non-survival groups at 7, 14, and 28 days from performance of 99mTc-GSA scintigraphy. From SPECT images we calculated SUVs of the cardiac blood pool, performing normalization for body weight, lean body weight, Japanese lean body weight, and blood volume and we calculated SUVs of the liver, normalizing by body weight, lean body weight, and Japanese lean body weight. We also calculated the uptake ratio of the heart at 15 minutes to that at 3 minutes (HH15) and the uptake ratio of the liver at 15 minutes to the liver plus the heart at 15 minutes (LHL15) from planar images of 99mTc-GSA scintigraphy.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eResults:\\u003c/em\\u003eThere were significant differences between the 7-day survival and non-survival groups for all SUVs of the heart and the liver and HH15, for 14-day survival groups in SUVs of the heart normalized by Japanese lean body weight and blood volume, and no significant differences between 28-day survival groups for any SUVs, HH15, or LHL15. Although the difference was not significant, SUV analysis of the heart normalized by blood volume showed the highest value for the area under the receiver-operating-characteristics curve for both 7-day and 14-day survival.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cem\\u003eConclusion:\\u003c/em\\u003e SUV analysis of 99mTc-GSA including SUV analysis of cardiac blood pool normalized by blood volume is of value for prediction of short-term survival in cases with severe liver failure.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Blood-pool SUV analysis of 99mTc-galactosyl human serum albumin (99mTc-GSA) normalized by blood volume for prediction of short-term survival in severe liver failure: preliminary report\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2024-07-26 15:56:19\",\"doi\":\"10.21203/rs.3.rs-4665806/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"reviewerAgreed\",\"content\":\"\",\"date\":\"2024-07-04T06:30:49+00:00\",\"index\":0,\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2024-07-02T17:30:43+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2024-07-01T07:31:17+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"Annals of Nuclear Medicine\",\"date\":\"2024-07-01T02:38:35+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"annals-of-nuclear-medicine\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"anme\",\"sideBox\":\"Learn more about [Annals of Nuclear Medicine](http://link.springer.com/journal/12149)\",\"snPcode\":\"12149\",\"submissionUrl\":\"https://www.editorialmanager.com/anme/default2.aspx\",\"title\":\"Annals of Nuclear Medicine\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"em\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false}}],\"origin\":\"\",\"ownerIdentity\":\"31dd1e34-3f68-414e-b2f1-460b2da910a0\",\"owner\":[],\"postedDate\":\"July 26th, 2024\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"published-in-journal\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2024-09-16T16:05:46+00:00\",\"versionOfRecord\":{\"articleIdentity\":\"rs-4665806\",\"link\":\"https://doi.org/10.1007/s12149-024-01975-9\",\"journal\":{\"identity\":\"annals-of-nuclear-medicine\",\"isVorOnly\":false,\"title\":\"Annals of Nuclear Medicine\"},\"publishedOn\":\"2024-09-10 15:58:22\",\"publishedOnDateReadable\":\"September 10th, 2024\"},\"versionCreatedAt\":\"2024-07-26 15:56:19\",\"video\":\"\",\"vorDoi\":\"10.1007/s12149-024-01975-9\",\"vorDoiUrl\":\"https://doi.org/10.1007/s12149-024-01975-9\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-4665806\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-4665806\",\"identity\":\"rs-4665806\",\"version\":[\"v1\"]},\"buildId\":\"qtupq5eGEP_6zYnWcrvyt\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}