Elevated cerebrospinal fluid sTREM2 is associated with postoperative cognitive dysfunction after thoracoabdominal aortic dissection surgery

Elevated cerebrospinal fluid sTREM2 is associated with postoperative cognitive dysfunction after thoracoabdominal aortic dissection surgery | 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 Elevated cerebrospinal fluid sTREM2 is associated with postoperative cognitive dysfunction after thoracoabdominal aortic dissection surgery Kexin Wang, Xuezhao Cao, Zhe Li, Sidan Liu, Yongjian Zhou, Lili Guo, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2075679/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 31 Dec, 2022 Read the published version in BMC Anesthesiology → Version 1 posted 10 You are reading this latest preprint version Abstract Purpose Soluble triggering receptor expressed on myeloid cells 2 (sTREM2) concentration is increased in cerebrospinal fluid (CSF) in early symptomatic phase of Alzheimer’s disease (AD). This study investigated whether CSF sTREM2 has a relationship with postoperative cognitive dysfunction (POCD) in cardiac surgery patients. Methods A total of 82 patients undergoing thoracoabdominal aortic replacement were recruited in this study. Neuropsychological testing battery was conducted before and after surgery. POCD was defined as a Z-score > 1.96 on at least 2 different tests or Telephone Interviews for Cognitive Status-Modified (TICS-M) score < 27. The CSF and serum sTREM2, Aβ 42 , T-tau and P-tau were collected and measured by ELISA on day before surgery and postoperative day 3. Results Patients were classified into POCD ( n = 34) and non-POCD ( n = 48) groups according to Z-score. Compared to non-POCD group, the levels of CSF sTREM2 ( p < 0.001) and serum sTREM2 ( p = 0.001) were significantly higher in POCD group on postoperative day 3, the levels of Aβ 42 ( p = 0.005) and Aβ 42 /T-tau ratio ( p = 0.036) were significantly lower in POCD group on postoperative day 3. Multivariate logistic regression analysis revealed that higher value of postoperative CSF sTREM2 (odds ratio: 1.06, 95% confidence interval: 1.02–1.11, p = 0.009), age (OR: 1.15, 95%CI: 1.03–1.28, p = 0.014) and POD duration (OR: 2.47, 95%CI: 1.15–5.29, p = 0.02) were the influencing factors of POCD. Conclusion This study indicates that elevated CSF sTREM2 is associated with an increased risk of early POCD. sTREM2 POCD Aβ42 T-tau P-tau Aβ42/T-tau ratio Figures Figure 1 Figure 2 Introduction Postoperative cognitive dysfunction (POCD) is a major complication in surgical patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) [ 1 ]. POCD affects up to 65% of cardiac surgery patients at hospital discharge [ 1 ], resulting in delayed recovery, prolonged length of hospital stay, and an increased risk of disability and mortality [ 2 , 3 ]. Owing to elusive pathophysiology and neuropsychological testing battery requirements, POCD diagnosis is usually delayed. Thus, it is necessary to identify reliable and convenient biomarkers for diagnosis and prognosis of POCD. There is no standard biomarker for POCD prediction and risk stratification. A study by Rasmussen et al. found that there was no relationship between neuron-specific enolase (NSE) or S100β and cognitive decline in elderly patients undergoing abdominal surgery [ 4 ]. Similarly, Linstedt et al. revealed an association of S100β but not NSE with early cognitive impairment in the patients undergoing noncardiac surgery [ 5 ]. Multiple studies found that the level of tau was increased in the patients who developed POCD [ 6 , 7 ]. There was significant relationship between perioperative Aβ 42 /T-tau ratio and cognition dysfunction [ 8 , 9 ]. These studies regarding POCD biomarkers are contradictory. Thus, it is necessary to find a biomarker with high specificity and sensitivity for POCD predication. Neuroinflammation plays a crucial role in the progression of POCD [ 10 ]. Multiple evidence demonstrated that triggering receptor expressed on myeloid cells 2 (TREM2) inhibited neuroinflammatory responses by repression of microglia-mediated cytokine production [ 11 ]. The extracellular domain of TREM2 can be shed by ADAM10/17 cleavage and released in its soluble form into the interstitial fluid of the brain [ 12 – 14 ]. Increased soluble TREM2 (sTREM2) in cerebrospinal fluid (CSF) is related to cognitive impairment in Alzheimer’s disease (AD) patients [ 15 , 16 ]. These data suggests that elevated sTREM2 may be an important biological mechanism underlying cognitive dysfunction. Therefore, investigating the association between sTREM2 and POCD in surgical subjects might be conducive. There are no sensitive and specific biomarkers as predictors of POCD. A study by Ferri et al. has indicated the potential application of sTREM2 as a biomarker of cognitive impairment [ 17 ]. However, whether sTREM2 can serve as a predictor of POCD in surgical subjects remains unclear. To improve diagnosis and treatment of POCD, the primary objective of this study was to identify the relationship between CSF sTREM2 and POCD. Materials And Methods Participants This study protocol was approved by the Ethics Committee of the First Hospital of China Medical University (2020-302-2) and registered in Chinese Clinical Trial Registry Centre (Registration No. ChiCTR2000038634). Between August 2020 and October 2021, the patients with thoracoabdominal aortic dissection were recruited in this study. Informed consent was obtained from all patients. Inclusion criteria was as follows: (1) The age ranges from 30 to 70; (2) The patients undergoing thoracoabdominal aortic surgery under general anesthesia; (3) Lumbar puncture for CSF drainage by L3-4 was performed to prevent paraplegia. Exclusion criteria: (1) Language/communication difficulties; (2) Dementia disorders due to other causes; (3) Contraindications to lumbar puncture; (4) A history of cognitive, psychiatric, or neurological illness; (5) Unavailable for neuropsychological test or refused to participate; (6) MMSE score < 24; (7) A history of cardiovascular surgery or craniotomy. Anesthesia management and surgical procedures The lumbar puncture was performed and a catheter was inserted into the subarachnoid space for CSF drainage to confer neurological protection on day before surgery. All participants received routine monitoring, including blood pressure, electrocardiogram, end-tidal carbon dioxide (ETCO 2 ), oxygen saturation, depth of anesthesia by BIS, and temperature on surgery day. Local cerebral oxygen saturation (rSO 2 ) was also monitored. Midazolam, etomidate, sufentanil, and cisatracurium were administrated for anesthesia induction. Approximately 5 minutes later, the patients were intubated and mechanically ventilated to maintain ETCO 2 between 35 and 45 mmHg. Anesthesia was maintained via propofol, sevoflurane, sufentanil, and cisatracurium to adjust BIS values between 40–60. All participants underwent CPB with deep hypothermic circulatory arrest. Bilateral anterograde cerebral perfusion was performed to maintain rSO 2 ≥ 50% or within 20% of preoperative value during deep hypothermic circulatory arrest. Neuropsychological Tests Neuropsychological testing battery was performed to evaluate cognitive function on day before surgery and postoperative days 3 and 7. The tests consisted of Mini-mental State Examination (MMSE), symbol digit modalities test (SDMT), digit span forward test (DSFT) and digit span backward test (DSBT), Rey auditory verbal learning test (RAVLT), Stroop color-word test (SCWT) and the confusion assessment method - intensive care unit (CAM-ICU). SCWT consists of three tests: a word test (SCWT-A), a color test (SCWT-B), and a word-color interference test (SCWT-C). Telephone Interviews for Cognitive Status-Modified (TICS-M) and score of activities of daily living (ADLs) were conducted to reduce the loss-to-follow-up rate for discharged patients in postoperative months 1, 3 and 6. Csf And Serum Collection And Storage CSF (5ml) and blood (5ml) samples were collected (8:00–12:00 a.m.) on day before surgery and postoperative day 3. The CSF samples were centrifuged at 2000g for 10 minutes and the blood samples were centrifuged at 1500g for 5 minutes at room temperature. The supernatants of CSF and serum were transferred into EP tubes and then stored at -80 o C pending biochemical analysis. Measurement Enzyme-linked immunosorbent assay (ELISA) was used to determine sTREM2 (Human TREM2 ELISA kit; Abcam, no. Ab224881), Aβ 42 (Human Aβ 42 ELISA kit; JL11012), T-tau (Human T-tau ELISA kit; JL46220) and P-tau (Human P-tau ELISA kit; JL46213). The samples were diluted as recommended by the manufacturer, and a standard curve was used to calculate the concentrations. Briefly, diluted standards, the samples, and antibody were added to the wells. Then, a peroxidase substrate tetramethyl benzidine (TMB) was added for color development. The OD450 was determined using microplate reader and the concentration of the tested substances was calculated by using software ELISACalc. Calculation Of Pocd And Pod POCD was defined as a Z-score > 1.96 on at least 2 different tests on postoperative days 3 or 7, or TICS-M score < 27 in postoperative 1, 3 or 6 months [ 18 – 21 ]. Briefly, Z-score was calculated by the following way: ([change score] individual -[mean change score])/(standard deviation change score total ) [ 22 , 23 ]. The diagnosis of postoperative delirium (POD) employed CAM-ICU on postoperative days 3 and 7 [ 24 ]. Statistical Analysis Sample size calculation was performed using PASS software, with 80% power, 0.05 alpha, and the expected OR value is 4. Considering a 20% dropout rate, a total of 100 patients was required. Data were analyzed with IBM SPSS Statistics Version 26 and submitted to Shapiro-Wilk test for normality evaluation. Continuous variables were expressed as means ± SD, medians and interquartile ranges (IQRs) and tested using t-tests or Mann-Whitney U tests. Categorical variables were expressed as percentage and tested using Chi-square tests. Comparison among groups was performed using independent t test for biomarker levels and Mann-Whitney U test for neuropsychological tests. Comparison within groups was performed using paired t test for biomarker and Friedman test for neuropsychological tests. Correlation analysis was assessed using Spearman correlation analysis. Univariate and multivariate logistic regressions analyses were performed to identify the risk factors of POCD. A p-value ≤ 0.05 was considered as statistically significant. The figures were made using GraphPad Prism 8.0 software. Result Patient Characteristics Characteristics and clinical data of patients were summarized in Table 1 . A total of 82 patients undergoing thoracoabdominal aortic replacement were enrolled in this trial. The patients were classified into POCD group (n = 34) and non-POCD group (n = 48) according to Z-score method. The incidence of POCD was 29.3% and 24.4%, respectively on postoperative days 3 and 7. In 1, 3 and 6 months, the incidence of POCD was 22.0%, 17.1% and 11.0%, respectively. The patients who developed POCD were significantly older ( p < 0.001) and had shorter duration of education ( p = 0.02) than those without POCD. In addition, a higher incidence of POD and longer POD duration were observed in the patients with POCD ( p < 0.001 and p < 0.001, respectively). Table 1 Demographics characteristics and clinical data of the study samples Parameters POCD ( n = 34) Non-POCD ( n = 48) p -value Age (yr), mean ± SD Male, n (%) BMI (kg/m 2 ), mean ± SD Duration of education (yr), median (IQR) ASA classification, n (%) III IV Smoking, n (%) Drinking, n (%) Hypertension, n (%) Diabetes, n (%) Sleep duration (h), median (IQR) Duration of surgery (h), median (IQR) CPB duration (min), mean ± SD Aortic cross-clamp duration (min), mean ± SD Circulatory arrest duration (min), median (IQR) Perfusion pressure (mmHg), median (IQR) Perfusion volume (ml), median (IQR) Deep hypothermic duration (min), mean ± SD Minimum temperature (℃), median (IQR) Midazolam (mg), median (IQR) Sufentanil (ug), median (IQR) Propofol (mg), mean ± SD Mechanical ventilation time (h), median (IQR) ICU length of stay (d), median (IQR) POD, n (%) POD duration (d), median (IQR) Length of hospital stay (d), median (IQR) 60.2 ± 6.8 24 (70.6) 25.4 ± 3.2 8 (3) 18 (52.9) 16 (47.1) 17 (50.0) 14 (41.2) 31 (91.2) 5 (14.7) 7 (2) 6.5 (0.9) 153.4 ± 25.5 103.8 ± 26.00 17 (4) 180 (30) 1950 (1200) 54.7 ± 7.8 21.7 (0.9) 5 (4.3) 70 (40) 1221.3 ± 493.8 47 (32) 7.5(4.0) 23 (67.6) 2 (3) 24 (9) 44.1 ± 8.1 37 (77.1) 25.6 ± 3.3 9 (2) 27 (56.3) 21 (43.7) 21 (31.8) 13 (27.1) 42 (87.5) 6 (12.5) 7 (1) 6.5 (1.7) 153.3 ± 29.4 108.8 ± 23.2 16 (4) 180 (30) 2000 (800) 51.4 ± 8.6 21.4 (1.5) 5 (4.8) 70 (35) 1250.5 ± 509.6 38 (30) 6.0 (4.8) 9 (18.8) 0 (0) 22 (13) < 0.001 a 0.51 0.86 0.02 b 0.77 - - 0.58 0.18 0.60 0.77 0.10 0.58 0.98 0.37 0.87 0.85 0.64 0.08 0.38 0.98 0.55 0.80 0.08 0.08 < 0.001 c < 0.001 d 0.41 Data are shown as count n (%), median and interquartile range (IQR) or mean ± SD. POCD, postoperative cognitive dysfunction; BMI, Body Mass Index; ASA, American Society of Anesthesiologists; CPB, cardiopulmonary bypass; ICU, intensive care unit. Duration of deep hypothermic: nasopharyngeal temperature < 28℃; POD, postoperative delirium; a t test; b,d Mann-Whitney U test; c χ2 test. Neuropsychological Tests Score The neuropsychological test battery results were presented in Tables 2 and 3 . There were no significant differences for preoperative neuropsychological test battery scores in POCD and non-POCD groups. Postoperative test battery scores were significantly decreased compared with group-matched baseline. Furthermore, The lower scores were found in POCD group compared to non-POCD group (Table 2 ). The lower TICS-M and ADL scores were also observed in POCD group in 1, 3 and 6 months postoperatively (Table 3 ). CSF and Serum Concentrations of Biomarkers The levels of CSF biomarkers were presented in Fig. 1. CSF sTREM2 was significantly increased compared with baseline in POCD group ( p <0.001) and the higher level of CSF sTREM2 was observed in POCD group than that in non-POCD group on postoperative day 3 ( p <0.001; Fig. 1A). Postoperative CSF Aβ 42 was significantly decreased in POCD group ( p= 0.002). Furthermore, the lower level of CSF Aβ 42 was observed in POCD group than that in non-POCD group ( p= 0.005; Fig. 1B). Postoperative CSF P-tau and T-tau were significantly increased in both POCD and non-POCD groups ( p <0.05 and p <0.05, respectively). However, no significant differences were found for postoperative CSF P-tau and T-tau between POCD group and non-POCD group (Fig. 1C and D). Postoperative CSF Aβ 42 /T-tau ratio was significantly decreased in POCD group ( p <0.001). Additionally, lower CSF Aβ 42 /T-tau ratio was observed in POCD group compared to non-POCD group on postoperative day 3 ( p =0.036; Fig. 1E). The levels of serum biomarkers were presented in Fig. 2. Postoperative serum sTREM2 was significantly increased in POCD group ( p =0.007) and the higher level of serum sTREM2 was observed in POCD group than that in non-POCD group ( p= 0.001; Fig. 2A). There were no significant differences in serum Aβ 42 , P-tau, T-tau and Aβ 42 /T-tau ratio on postoperative day 3 compared to baseline in both groups. Additionally, no significant differences in serum Aβ 42 , P-tau, T-tau and Aβ 42 /T-tau ratio were observed between POCD and non-POCD groups on postoperative day 3 (Fig. 2B-E). Analyses of the correlation of postoperative CSF sTREM2 values and other factors were showed in Table 4. Postoperative CSF sTREM2 was positively correlated with postoperative serum sTREM2 (Spearman r =0.381, p <0.001), age (Spearman r =0.459, p< 0.001), and duration of POD (Spearman r =0.442, p =0.006), and negatively correlated with postoperative CSF Aβ 42 (Spearman r =-0.219, p =0.048), duration of education (Spearman r =-0.271, p =0.01), the correct numbers of postoperative neuropsychological tests ( p <0.05) and score of TICS-M ( p <0.05). Table 4 Factors associated with postoperative CSF sTREM2 values Factors Correlation Coefficient p -value CSF Aβ 42 postop (ng/ml) CSF P-tau postop (pg/ml) CSF T-tau postop (pg/ml) CSF Aβ 42 /T-tau ratio postop CSF sTREM2 preop (pg/ml) Serum sTREM2 postop (pg/ml) Age (yr) Duration of education (yr) Duration of POD (d) DSFT preop (n) DSFT postop 3d (n) DSFT postop 7d (n) DSBT preop (n) DSBT postop 3d (n) DSBT postop 7d (n) RAVLT preop (n) RAVLT postop 3d (n) RAVLT postop 7d (n) SDMT preop (n) SDMT postop 3d (n) SDMT postop 7d (s) SCWT-A preop (s) SCWT-A postop 3d (s) SCWT-A postop 7d (s) SCWT-B preop (s) SCWT-B postop 3d (s) SCWT-B postop 7d (s) SCWT-C preop (s) SCWT-C postop 3d (s) SCWT-C postop 7d (s) TICS-M postop 1m TICS-M postop 3m TICS-M postop 6m -0.219 0.204 -0.040 -0.181 0.055 0.381 0.459 -0.271 0.442 0.004 -0.377 -0.403 0.066 -0.356 -0.403 -0.288 -0.383 -0.513 -0.019 -0.510 -0.457 0.174 0.391 0.524 0.025 0.498 0.557 0.001 0.387 0.427 -0.393 -0.480 -0.373 0.048 0.067 0.72 0.103 0.624 < 0.001 < 0.001 0.01 0.006 0.97 < 0.001 < 0.001 0.56 < 0.001 < 0.001 0.009 < 0.001 < 0.001 0.86 < 0.001 < 0.001 0.12 < 0.001 < 0.001 0.82 < 0.001 < 0.001 0.99 < 0.001 < 0.001 < 0.001 < 0.001 0.001 Correlation coefficients represent non-parametric Spearman's Rho correlation coefficients; Test results are either number correct (n) or time taken (s); CSF, cerebrospinal fluid; sTREM2, soluble triggering receptor expressed on myeloid cells 2; Aβ 42 , β-amyloid 42; P-tau, phosphorylated tau; T-tau, total tau; preop, preoperative; postop 3d, postoperative day 3; postop 7d, postoperative day 7; postop 1m, 1 month after surgery; postop 3m, 3 month after surgery; postop 6m, 6 month after surgery; POD, postoperative delirium; DSFT, Digit Span Forward Test; DSBT, Digit Span Backward Test; RAVLT, Rey Auditory Verbal Learning Test; SDMT, Symbol Digit Modalities Test; SCWT, Stroop Color Word Test. Univariate and Multivariate Logistic Regression Analysis Seven potential risk factors of POCD were identified by univariate logistic regression analysis, including postoperative CSF sTREM2, Aβ 42 , Aβ 42 /T-tau ratio, serum sTREM2, age, duration of POD and education (Table 5 ). The relationship between POCD and risk factors was determined by multivariable logistic regression analysis. After adjustment of potential factors, postoperative CSF sTREM2 (odds ratio: 1.06, 95% confidence interval: 1.02–1.11, p = 0.009), age (OR: 1.15, 95%CI: 1.03–1.28, p = 0.014) and POD duration (OR: 2.47, 95%CI: 1.15–5.29, p = 0.020) were the influencing factors of POCD (Table 5 ). Discussion Our study investigated the relationship between sTREM2 and POCD in the patients undergoing thoracoabdominal aortic surgery. This study demonstrated that the level of CSF sTREM2 was significantly increased in the subjects who developed POCD on postoperative day 3. Elevated CSF sTREM2 was associated with an increased risk of POCD in the patients with cardiac surgery. Despite improvements in surgical and anesthetic techniques, POCD in cardiac surgery patients is still highly prevalent. Relander et al. reported that POCD was observed in 71% of patients 1 week postoperatively and in 47% of elderly patients 3 months after cardiac surgery [ 25 ]. Our study illustrated that the incidence of POCD was 24.4% on postoperative day 7 and 17.1% at 3 months in the patients undergoing thoracoabdominal aortic surgery. The difference for the incidence of POCD in these studies is probably due to the diverse neuropsychological tests and the statistical methodology, as well as the fact that to date there is no universally accepted definition of POCD. Previous studies indicated an association between POD and subsequent POCD in elderly patients undergoing orthopedic surgery [ 26 ] and cardiac surgery [ 27 ]. A higher incidence and a longer duration of POD were observed in the patients who developed POCD in this study. There is no internationally accepted definition for POCD. Neuropsychological testing battery is required to evaluate postoperative cognitive function reliably. The precise and inclusive neuropsychological tests were applied in this study, including MMSE, SDMT, DFST, DSBT, RAVLT, SCWT, CAM-ICU, TICS-M and ADLs, which allowed to detect slight changes in cognitive function characteristic of POCD. Consistent with previous studies, the definition of POCD was based on Z-score in this study [ 18 , 20 , 21 ]. The present study demonstrated that elevated level of CSF sTREM2 was correlated with an increased risk of developing POCD in the patients undergoing thoracoabdominal aortic surgery. A growing number of studies demonstrated that CSF sTREM2 was increased in the late-onset AD [ 28 , 29 ] and early-onset familial AD [ 30 ]. The upregulation of CSF sTREM2 was associated with the increased risk of dementia [ 31 ]. A study by Tanaka et al reported that elevated sTREM2 was related to cognitive impairment in non-obese diabetic patients [ 32 ]. This study indicated that CSF sTREM2 was associated with cognitive impairment after thoracoabdominal aortic replacement surgery. These findings indicate that elevated CSF sTREM2 may be a potential therapeutic target of POCD. The underlying mechanism for the relationship between sTREM2 and POCD remains unknown. One explanation is that CSF sTREM2 elevation reflects sTREM2-mediated microglial activation and acute neuroinflammation. A solid relationship between neuroinflammation and POCD has been reported in orthopedic patients, which fully demonstrates the critical role of neuroinflammation in POCD development [ 33 ]. Microglial activation and subsequent neuroinflammatory response frequently accompanies the early progress of Aβ accumulation, tau pathology, cerebrovascular injury and cognitive impairment [ 34 – 38 ]. Our previous study demonstrated that microglial activation and neuroinflammation involved in the progression of POCD [ 39 ]. CSF sTREM2 was increased in AD and considered as a biomarker of microglia activation and neuroinflammation [ 40 , 41 ]. Consistent with previous study, this study indicated that POCD development was associated with sTREM2-mediated neuroinflammatory response. sTREM2 is produced by ectodomain shedding of its receptor, which simultaneously produces peptides that reduce the activity of full-length receptor TREM2 [ 12 ]. Our previous study demonstrated that partial hepatectomy downregulated TREM2 expression in APPswe/PS1dE9 mice, coupled with postoperative spatial learning and memory impairment [ 42 ]. Thus, the increased level of CSF sTREM2 in the patients with POCD might indirectly reflect that the activity of TREM2 was inhibited following surgery challenge. Exploring relationship between CSF biomarkers and POCD may provide better understanding of pathogenic mechanism by hinting to simultaneously ongoing processes in the brain [ 29 ]. Previous studies indicated that the neuropathogenesis of AD was involved in POCD, particularly in elderly subjects [ 43 – 47 ]. Aβ is generally considered to be associated with POCD [ 48 – 50 ]. Tau, the main protein component of the neurofibrillary tangles of synapses, has been linked to cognitive dysfunction [ 51 , 52 ]. A pilot study demonstrated that cognitive decline was related to the reduction of CSF Aβ 42 in 6 months after cardiac surgery [ 53 ]. TREM2 and Aβ precursor protein share common features of ectodomain shedding by ADAMs α-secretase and subsequent γ-secretase cleavage, which suggests the existence of both common biological processes involved in Aβ and sTREM2 [ 12 , 13 , 54 ]. The current study demonstrated that CSF sTREM2 was positively corrected with serum sTREM2 and negatively associated with CSF Aβ 42 in the patients with POCD. Thus, a combination of CSF sTREM2 and other POCD biomarkers may provide reliable and convenient predictor of POCD. There are some limitations in this study. Firstly, the sample size is relatively small and more large-scaled multicenter studies are required to determine the predictive value of sTREM2 for POCD. Secondly, the sample of CSF was not obtained conveniently and CSF sTREM2 could not measure routinely in the clinical practice. Finally, this study only investigated short-term follow-up outcome. Longer-term follow-up is needed to validate the role of sTREM2 in the progression of POCD. In conclusion, surgery and anesthesia significantly enhanced CSF sTREM2 expression. The elevated CSF sTREM2 is associated with an increased risk of POCD. This finding may provide valuable mechanistic insights into the etiology of POCD. Thus, a combination of CSF sTREM2 and other POCD predictors may be reliable to identify high-risk persons of POCD. Declarations Ethics approval and consent to participate This study protocol was approved by the Ethics Committee of the First Affiliated Hospital of China Medical University (2020-302-2) and registered in Chinese Clinical Trial Registry Centre (Registration No. ChiCTR2000038634). Informed consent was obtained from all patients. All methods were performed in accordance with the relevant guidelines and regulations Consent for publication All the authors approved publication. Availability of Data and Material (ADM) The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. Competing interests The authors have no relevant financial or non-financial interests to disclose. Funding This work was supported by National Natural Science Foundation of China [grant number 81300938]，National Key Research and Development Program of China [grant number SQ2018YFC200044]. Authors' contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Kexin Wang, Xuezhao Cao, Zhe Li, Sidan Liu and Lili Guo. Figures were made by Yongjian Zhou, Pengli Li. The first draft of the manuscript was written by Kexin Wang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Acknowledgment We thank all the patients for taking part into the study. We thank Dr. Zhe Li and Dr. Xuezhao Cao for providing help for this clinic trial. References Newman M, Kirchner J, Phillips-Bute B, Gaver V, Grocott H, Jones R. 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S100B protein and neuron-specific enolase as predictors of cognitive dysfunction after coronary artery bypass graft surgery: A prospective observational study. Eur J Anaesthesiol. 2016;33(9):681–9. Relander K, Hietanen M, Rantanen K, Ramo J, Vento A, Saastamoinen KP. Postoperative cognitive change after cardiac surgery predicts long-term cognitive outcome. Brain Behav. 2020;10(9):e01750. Bickel H, Gradinger R, Kochs E, Förstl H. High risk of cognitive and functional decline after postoperative delirium. A three-year prospective study. Dement Geriatr Cogn Disord. 2008;26(1):26–31. Saczynski J, Marcantonio E, Quach L, Fong T, Gross A, Inouye S. Cognitive trajectories after postoperative delirium. N Engl J Med. 2012;367(1):30–9. Heslegrave A, Heywood W, Paterson R, Magdalinou N, Svensson J, Johansson P. Increased cerebrospinal fluid soluble TREM2 concentration in Alzheimer's disease. Mol Neurodegener 2016, 11(3). Henjum K, Quist-Paulsen E, Zetterberg H, Blennow K, Nilsson LNG, Watne LO. CSF sTREM2 in delirium-relation to Alzheimer's disease CSF biomarkers Abeta42, t-tau and p-tau. J Neuroinflammation. 2018;15(1):304. Suárez-Calvet M, Kleinberger G, Araque Caballero M, Brendel M, Rominger A, Alcolea D. sTREM2 cerebrospinal fluid levels are a potential biomarker for microglia activity in early-stage Alzheimer's disease and associate with neuronal injury markers. EMBO Mol Med. 2016;8(5):466–76. van der Ende E, Morenas-Rodriguez E, McMillan C, Grossman M, Irwin D, Sanchez-Valle R: CSF sTREM2 is elevated in a subset in GRN-related frontotemporal dementia. Neurobiol Aging 2021, 103:158.e151-158.e155. Tanaka M, Yamakage H, Masuda S, Inoue T, Ohue-Kitano R, Araki R. Serum soluble TREM2 is a potential novel biomarker of cognitive impairment in Japanese non-obese patients with diabetes. Diabetes Metab. 2019;45(1):86–9. Cho I, Kim J, Kim E, Kim S, Kam E, Cheong E. Orthopedic surgery-induced cognitive dysfunction is mediated by CX3CL1/R1 signaling. J Neuroinflammation. 2021;18(1):93. Mosher K, Wyss-Coray T. Microglial dysfunction in brain aging and Alzheimer's disease. Biochem Pharmacol. 2014;88(4):594–604. Streit W, Xue Q, Tischer J, Bechmann I. Microglial pathology. Acta Neuropathol Commun. 2014;2:142. Heneka M, Carson M, El Khoury J, Landreth G, Brosseron F, Feinstein D. Neuroinflammation in Alzheimer's disease. Lancet Neurol. 2015;14(4):388–405. Tanzi R. TREM2 and Risk of Alzheimer's Disease–Friend or Foe? N Engl J Med. 2015;372(26):2564–5. Cattaneo A, Cattane N, Galluzzi S, Provasi S, Lopizzo N, Festari C. Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol Aging. 2017;49:60–8. Cao X, Ma H, Wang J, Liu F, Wu B, Tian A. Postoperative cognitive deficits and neuroinflammation in the hippocampus triggered by surgical trauma are exacerbated in aged rats. Prog Neuropsychopharmacol Biol Psychiatry. 2010;34(8):1426–32. Piccio L, Buonsanti C, Cella M, Tassi I, Schmidt R, Fenoglio C. Identification of soluble TREM-2 in the cerebrospinal fluid and its association with multiple sclerosis and CNS inflammation. Brain. 2008;131:3081–91. Wilson EN, Swarovski MS, Linortner P, Shahid M, Zuckerman AJ, Wang Q. Soluble TREM2 is elevated in Parkinson's disease subgroups with increased CSF tau. Brain. 2020;143(3):932–43. Jiang Y, Li Z, Ma H, Cao X, Liu F, Tian A. Upregulation of TREM2 Ameliorates Neuroinflammatory Responses and Improves Cognitive Deficits Triggered by Surgical Trauma in Appswe/PS1dE9 Mice. Cell Physiol Biochem. 2018;46(4):1398–411. Xie Z, Tanzi R. Alzheimer's disease and post-operative cognitive dysfunction. Exp Gerontol. 2006;41(4):346–59. Le Freche H, Brouillette J, Fernandez-Gomez F, Patin P, Caillierez R, Zommer N. Tau phosphorylation and sevoflurane anesthesia: an association to postoperative cognitive impairment. Anesthesiology. 2012;116(4):779–87. Li C, Liu S, Xing Y, Tao F. The role of hippocampal tau protein phosphorylation in isoflurane-induced cognitive dysfunction in transgenic APP695 mice. Anesth Analg. 2014;119(2):413–9. Luo X, Yang L, Chen X, Li S. Tau hyperphosphorylation: a downstream effector of isoflurane-induced neuroinflammation in aged rodents. Med Hypotheses. 2014;82(1):94–6. Ye JS, Chen L, Lu YY, Lei SQ, Peng M, Xia ZY: Honokiol-Mediated Mitophagy Ameliorates Postoperative Cognitive Impairment Induced by Surgery/Sevoflurane via Inhibiting the Activation of NLRP3 Inflammasome in the Hippocampus. Oxid Med Cell Longev 2019, 2019:8639618. Zuo C, Wang C, Liu J, Shen T, Zhou J, Hao X. Isoflurane anesthesia in aged mice and effects of A1 adenosine receptors on cognitive impairment. CNS Neurosci Ther. 2018;24(3):212–21. Zhang J, Zhu S, Jin P, Huang Y, Dai Q, Zhu Q. Graphene oxide improves postoperative cognitive dysfunction by maximally alleviating amyloid beta burden in mice. Theranostics. 2020;10(26):11908–20. Kim J, Jung H, Lee Y, Sohn J. Surgery Performed Under Propofol Anesthesia Induces Cognitive Impairment and Amyloid Pathology in ApoE4 Knock-In Mouse Model. Front Aging Neurosci. 2021;13:658860. Xie Z, Culley D, Dong Y, Zhang G, Zhang B, Moir R. The common inhalation anesthetic isoflurane induces caspase activation and increases amyloid beta-protein level in vivo. Ann Neurol. 2008;64(6):618–27. Bissette G. Mini-forum: Roles of amyloid-beta and tau phosphorylation in neuronal repair and protection. J Alzheimers Dis. 2009;18(2):369–70. Palotas A, Reis HJ, Bogats G, Babik B, Racsmany M, Engvau L. Coronary artery bypass surgery provokes Alzheimer's disease-like changes in the cerebrospinal fluid. J Alzheimers Dis. 2010;21(4):1153–64. O'Brien R, Wong P. Amyloid precursor protein processing and Alzheimer's disease. Annu Rev Neurosci. 2011;34:185–204. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 31 Dec, 2022 Read the published version in BMC Anesthesiology → Version 1 posted Editorial decision: Major revision 04 Nov, 2022 Reviews received at journal 31 Oct, 2022 Reviews received at journal 23 Oct, 2022 Reviewers agreed at journal 10 Oct, 2022 Reviewers agreed at journal 10 Oct, 2022 Reviewers invited by journal 10 Oct, 2022 Editor assigned by journal 08 Oct, 2022 Editor invited by journal 08 Oct, 2022 Submission checks completed at journal 08 Oct, 2022 First submitted to journal 17 Sep, 2022 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2075679","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":142735236,"identity":"85050642-f805-4f62-b5ba-b1117ba7f212","order_by":0,"name":"Kexin Wang","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Kexin","middleName":"","lastName":"Wang","suffix":""},{"id":142735239,"identity":"e41fea6f-9cae-4708-b535-6f2ae066d194","order_by":1,"name":"Xuezhao Cao","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Xuezhao","middleName":"","lastName":"Cao","suffix":""},{"id":142735240,"identity":"58ed71fe-d84e-48af-a934-a52a6305bf14","order_by":2,"name":"Zhe Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArUlEQVRIiWNgGAWjYBACxnbmhgOMDQxybOzNB4jU0swI1mLMx3MsgUhrmIHqgShxnkSOApE6mhkbD/7cYZPexpDDwPCjYhuRDpM8k5bbxnD2AGPPmdtEajFsO5zbxtiXwMzYRqyWxLb/6WzMPAYkaDnYdiCBjY0ULQcb25IN23jYEg4S5RfD9ubDH3+22cnLz3988MGPCmK0NCBxDhBWDwTyRKkaBaNgFIyCkQ0AZgY+ZTu7ZVEAAAAASUVORK5CYII=","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":true,"prefix":"","firstName":"Zhe","middleName":"","lastName":"Li","suffix":""},{"id":142735241,"identity":"54dbf48f-9c3e-47f9-941b-4affff84bf4b","order_by":3,"name":"Sidan Liu","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Sidan","middleName":"","lastName":"Liu","suffix":""},{"id":142735242,"identity":"d47ddb35-a5ac-4610-89d4-dc91059e310c","order_by":4,"name":"Yongjian Zhou","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yongjian","middleName":"","lastName":"Zhou","suffix":""},{"id":142735243,"identity":"56d87453-a45c-4bd8-9bb2-e26ed24da60e","order_by":5,"name":"Lili Guo","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Lili","middleName":"","lastName":"Guo","suffix":""},{"id":142735244,"identity":"2007a93b-115e-42eb-8cea-de119952d991","order_by":6,"name":"Pengli Li","email":"","orcid":"","institution":"First Hospital of China Medical University","correspondingAuthor":false,"prefix":"","firstName":"Pengli","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2022-09-17 13:29:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2075679/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2075679/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12871-022-01955-4","type":"published","date":"2022-12-31T18:07:52+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":27690787,"identity":"0cee8dc8-fb1f-45ef-96dc-21ffcdaaa1ab","added_by":"auto","created_at":"2022-10-12 16:50:49","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":98916,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe levels of CSF biomarkers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe levels of CSF sTREM2, Aβ42, P-tau, T-tau, and Aβ42/T-tau ratio in POCD and non-POCD group. (A) CSF sTREM2 was significantly increased on postoperative day 3 and the higher level of CSF sTREM2 was observed in POCD group than that in non-POCD group (p\u0026lt;0.001 and p\u0026lt;0.001, respectively). (B) The lower level of CSF Aβ42 was observed in POCD group than that in non-POCD group (p=0.005). (C) CSF P-tau was significantly increased in both groups (p\u0026lt;0.05 and p\u0026lt;0.05, respectively) on postoperative day 3. (D) Postoperative CSF T-tau was significantly increased in both groups (p\u0026lt;0.05 and p\u0026lt;0.05, respectively). (E) Lower CSF Aβ42/T-tau ratio was observed in POCD group compared to non-POCD group on postoperative day 3 (p=0.036).\u003c/p\u003e\n\u003cp\u003eAbbreviation: CSF, cerebrospinal fluid; sTREM2, soluble triggering receptor expressed on myeloid cells 2; Aβ42, β-amyloid 42; P-tau, phosphorylated tau; T-tau, total tau; POCD, postoperative cognitive dysfunction.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2075679/v1/78894227df6c706a2d37dd7e.jpg"},{"id":27690786,"identity":"e7121d3e-db0c-44f5-b49f-ef1c5a2a2cc2","added_by":"auto","created_at":"2022-10-12 16:50:49","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":92237,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe levels of serum biomarkers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe levels of serum sTREM2, Aβ42, P-tau, T-tau, and Aβ42/T-tau ratio in POCD and non-POCD group. (A) Postoperative serum sTREM2 was significantly increased in POCD group (p=0.007) and the higher level of serum sTREM2 was observed in POCD group than that in non-POCD group (p=0.001). (B-D) No significant differences were observed for serum Aβ42, P-tau and T-tau between POCD and non-POCD groups on postoperative day 3. (E) There was no significant difference in Aβ42/T-tau ratio between POCD and non-POCD groups on postoperative day 3.\u003c/p\u003e\n\u003cp\u003eAbbreviation: CSF, cerebrospinal fluid; sTREM2, soluble triggering receptor expressed on myeloid cells 2; Aβ42, β-amyloid 42; P-tau, phosphorylated tau; T-tau, total tau; POCD, postoperative cognitive dysfunction.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2075679/v1/9af9b7f2e0569a8feed8e418.jpg"},{"id":44715135,"identity":"4b38d30d-3ef9-4874-b0bc-30b10eb8191a","added_by":"auto","created_at":"2023-10-16 18:13:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":586790,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2075679/v1/e43d2f79-4f6c-43cd-a6e3-c4ada54d00b0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Elevated cerebrospinal fluid sTREM2 is associated with postoperative cognitive dysfunction after thoracoabdominal aortic dissection surgery","fulltext":[{"header":"Introduction","content":"\u003cp\u003ePostoperative cognitive dysfunction (POCD) is a major complication in surgical patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. POCD affects up to 65% of cardiac surgery patients at hospital discharge [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], resulting in delayed recovery, prolonged length of hospital stay, and an increased risk of disability and mortality [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Owing to elusive pathophysiology and neuropsychological testing battery requirements, POCD diagnosis is usually delayed. Thus, it is necessary to identify reliable and convenient biomarkers for diagnosis and prognosis of POCD.\u003c/p\u003e \u003cp\u003eThere is no standard biomarker for POCD prediction and risk stratification. A study by Rasmussen et al. found that there was no relationship between neuron-specific enolase (NSE) or S100β and cognitive decline in elderly patients undergoing abdominal surgery [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Similarly, Linstedt et al. revealed an association of S100β but not NSE with early cognitive impairment in the patients undergoing noncardiac surgery [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Multiple studies found that the level of tau was increased in the patients who developed POCD [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. There was significant relationship between perioperative Aβ\u003csub\u003e42\u003c/sub\u003e/T-tau ratio and cognition dysfunction [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. These studies regarding POCD biomarkers are contradictory. Thus, it is necessary to find a biomarker with high specificity and sensitivity for POCD predication.\u003c/p\u003e \u003cp\u003eNeuroinflammation plays a crucial role in the progression of POCD [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Multiple evidence demonstrated that triggering receptor expressed on myeloid cells 2 (TREM2) inhibited neuroinflammatory responses by repression of microglia-mediated cytokine production [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. The extracellular domain of TREM2 can be shed by ADAM10/17 cleavage and released in its soluble form into the interstitial fluid of the brain [\u003cspan additionalcitationids=\"CR13\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Increased soluble TREM2 (sTREM2) in cerebrospinal fluid (CSF) is related to cognitive impairment in Alzheimer\u0026rsquo;s disease (AD) patients [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. These data suggests that elevated sTREM2 may be an important biological mechanism underlying cognitive dysfunction. Therefore, investigating the association between sTREM2 and POCD in surgical subjects might be conducive.\u003c/p\u003e \u003cp\u003eThere are no sensitive and specific biomarkers as predictors of POCD. A study by Ferri et al. has indicated the potential application of sTREM2 as a biomarker of cognitive impairment [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. However, whether sTREM2 can serve as a predictor of POCD in surgical subjects remains unclear. To improve diagnosis and treatment of POCD, the primary objective of this study was to identify the relationship between CSF sTREM2 and POCD.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eParticipants\u003c/h2\u003e \u003cp\u003e This study protocol was approved by the Ethics Committee of the First Hospital of China Medical University (2020-302-2) and registered in Chinese Clinical Trial Registry Centre (Registration No. ChiCTR2000038634). Between August 2020 and October 2021, the patients with thoracoabdominal aortic dissection were recruited in this study. Informed consent was obtained from all patients. Inclusion criteria was as follows: (1) The age ranges from 30 to 70; (2) The patients undergoing thoracoabdominal aortic surgery under general anesthesia; (3) Lumbar puncture for CSF drainage by L3-4 was performed to prevent paraplegia. Exclusion criteria: (1) Language/communication difficulties; (2) Dementia disorders due to other causes; (3) Contraindications to lumbar puncture; (4) A history of cognitive, psychiatric, or neurological illness; (5) Unavailable for neuropsychological test or refused to participate; (6) MMSE score\u0026thinsp;\u0026lt;\u0026thinsp;24; (7) A history of cardiovascular surgery or craniotomy.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eAnesthesia management and surgical procedures\u003c/h2\u003e \u003cp\u003eThe lumbar puncture was performed and a catheter was inserted into the subarachnoid space for CSF drainage to confer neurological protection on day before surgery. All participants received routine monitoring, including blood pressure, electrocardiogram, end-tidal carbon dioxide (ETCO\u003csub\u003e2\u003c/sub\u003e), oxygen saturation, depth of anesthesia by BIS, and temperature on surgery day. Local cerebral oxygen saturation (rSO\u003csub\u003e2\u003c/sub\u003e) was also monitored. Midazolam, etomidate, sufentanil, and cisatracurium were administrated for anesthesia induction. Approximately 5 minutes later, the patients were intubated and mechanically ventilated to maintain ETCO\u003csub\u003e2\u003c/sub\u003e between 35 and 45 mmHg. Anesthesia was maintained via propofol, sevoflurane, sufentanil, and cisatracurium to adjust BIS values between 40\u0026ndash;60. All participants underwent CPB with deep hypothermic circulatory arrest. Bilateral anterograde cerebral perfusion was performed to maintain rSO\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;\u0026ge;\u0026thinsp;50% or within 20% of preoperative value during deep hypothermic circulatory arrest.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eNeuropsychological Tests\u003c/h3\u003e\n\u003cp\u003eNeuropsychological testing battery was performed to evaluate cognitive function on day before surgery and postoperative days 3 and 7. The tests consisted of Mini-mental State Examination (MMSE), symbol digit modalities test (SDMT), digit span forward test (DSFT) and digit span backward test (DSBT), Rey auditory verbal learning test (RAVLT), Stroop color-word test (SCWT) and the confusion assessment method - intensive care unit (CAM-ICU). SCWT consists of three tests: a word test (SCWT-A), a color test (SCWT-B), and a word-color interference test (SCWT-C). Telephone Interviews for Cognitive Status-Modified (TICS-M) and score of activities of daily living (ADLs) were conducted to reduce the loss-to-follow-up rate for discharged patients in postoperative months 1, 3 and 6.\u003c/p\u003e\n\u003ch3\u003eCsf And Serum Collection And Storage\u003c/h3\u003e\n\u003cp\u003eCSF (5ml) and blood (5ml) samples were collected (8:00\u0026ndash;12:00 a.m.) on day before surgery and postoperative day 3. The CSF samples were centrifuged at 2000g for 10 minutes and the blood samples were centrifuged at 1500g for 5 minutes at room temperature. The supernatants of CSF and serum were transferred into EP tubes and then stored at -80\u003csup\u003eo\u003c/sup\u003eC pending biochemical analysis.\u003c/p\u003e\n\u003ch3\u003eMeasurement\u003c/h3\u003e\n\u003cp\u003eEnzyme-linked immunosorbent assay (ELISA) was used to determine sTREM2 (Human TREM2 ELISA kit; Abcam, no. Ab224881), Aβ\u003csub\u003e42\u003c/sub\u003e (Human Aβ\u003csub\u003e42\u003c/sub\u003e ELISA kit; JL11012), T-tau (Human T-tau ELISA kit; JL46220) and P-tau (Human P-tau ELISA kit; JL46213). The samples were diluted as recommended by the manufacturer, and a standard curve was used to calculate the concentrations. Briefly, diluted standards, the samples, and antibody were added to the wells. Then, a peroxidase substrate tetramethyl benzidine (TMB) was added for color development. The OD450 was determined using microplate reader and the concentration of the tested substances was calculated by using software ELISACalc.\u003c/p\u003e\n\u003ch3\u003eCalculation Of Pocd And Pod\u003c/h3\u003e\n\u003cp\u003ePOCD was defined as a Z-score\u0026thinsp;\u0026gt;\u0026thinsp;1.96 on at least 2 different tests on postoperative days 3 or 7, or TICS-M score\u0026thinsp;\u0026lt;\u0026thinsp;27 in postoperative 1, 3 or 6 months [\u003cspan additionalcitationids=\"CR19 CR20\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Briefly, Z-score was calculated by the following way: ([change score]\u003csub\u003eindividual\u003c/sub\u003e-[mean change score])/(standard deviation change score\u003csub\u003etotal\u003c/sub\u003e) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The diagnosis of postoperative delirium (POD) employed CAM-ICU on postoperative days 3 and 7 [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eSample size calculation was performed using PASS software, with 80% power, 0.05 alpha, and the expected OR value is 4. Considering a 20% dropout rate, a total of 100 patients was required.\u003c/p\u003e \u003cp\u003eData were analyzed with IBM SPSS Statistics Version 26 and submitted to Shapiro-Wilk test for normality evaluation. Continuous variables were expressed as means\u0026thinsp;\u0026plusmn;\u0026thinsp;SD, medians and interquartile ranges (IQRs) and tested using t-tests or Mann-Whitney U tests. Categorical variables were expressed as percentage and tested using Chi-square tests. Comparison among groups was performed using independent t test for biomarker levels and Mann-Whitney U test for neuropsychological tests. Comparison within groups was performed using paired t test for biomarker and Friedman test for neuropsychological tests. Correlation analysis was assessed using Spearman correlation analysis. Univariate and multivariate logistic regressions analyses were performed to identify the risk factors of POCD. A p-value\u0026thinsp;\u0026le;\u0026thinsp;0.05 was considered as statistically significant. The figures were made using GraphPad Prism 8.0 software.\u003c/p\u003e \u003c/div\u003e"},{"header":"Result","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003ePatient Characteristics\u003c/h2\u003e \u003cp\u003eCharacteristics and clinical data of patients were summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. A total of 82 patients undergoing thoracoabdominal aortic replacement were enrolled in this trial. The patients were classified into POCD group (n\u0026thinsp;=\u0026thinsp;34) and non-POCD group (n\u0026thinsp;=\u0026thinsp;48) according to Z-score method. The incidence of POCD was 29.3% and 24.4%, respectively on postoperative days 3 and 7. In 1, 3 and 6 months, the incidence of POCD was 22.0%, 17.1% and 11.0%, respectively. The patients who developed POCD were significantly older (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and had shorter duration of education (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.02) than those without POCD. In addition, a higher incidence of POD and longer POD duration were observed in the patients with POCD (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001 and \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, respectively).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographics characteristics and clinical data of the study samples\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParameters\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePOCD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;34)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNon-POCD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;48)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge (yr), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eMale, n (%)\u003c/p\u003e \u003cp\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eDuration of education (yr), median (IQR)\u003c/p\u003e \u003cp\u003eASA classification, n (%)\u003c/p\u003e \u003cp\u003eIII\u003c/p\u003e \u003cp\u003eIV\u003c/p\u003e \u003cp\u003eSmoking, n (%)\u003c/p\u003e \u003cp\u003eDrinking, n (%)\u003c/p\u003e \u003cp\u003eHypertension, n (%)\u003c/p\u003e \u003cp\u003eDiabetes, n (%)\u003c/p\u003e \u003cp\u003eSleep duration (h), median (IQR)\u003c/p\u003e \u003cp\u003eDuration of surgery (h), median (IQR)\u003c/p\u003e \u003cp\u003eCPB duration (min), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eAortic cross-clamp duration (min), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eCirculatory arrest duration (min), median (IQR)\u003c/p\u003e \u003cp\u003ePerfusion pressure (mmHg), median (IQR)\u003c/p\u003e \u003cp\u003ePerfusion volume (ml), median (IQR)\u003c/p\u003e \u003cp\u003eDeep hypothermic duration (min), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eMinimum temperature (℃), median (IQR)\u003c/p\u003e \u003cp\u003eMidazolam (mg), median (IQR)\u003c/p\u003e \u003cp\u003eSufentanil (ug), median (IQR)\u003c/p\u003e \u003cp\u003ePropofol (mg), mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003cp\u003eMechanical ventilation time (h), median (IQR)\u003c/p\u003e \u003cp\u003eICU length of stay (d), median (IQR)\u003c/p\u003e \u003cp\u003ePOD, n (%)\u003c/p\u003e \u003cp\u003ePOD duration (d), median (IQR)\u003c/p\u003e \u003cp\u003eLength of hospital stay (d), median (IQR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60.2\u0026thinsp;\u0026plusmn;\u0026thinsp;6.8\u003c/p\u003e \u003cp\u003e24 (70.6)\u003c/p\u003e \u003cp\u003e25.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e \u003cp\u003e8 (3)\u003c/p\u003e \u003cp\u003e18 (52.9)\u003c/p\u003e \u003cp\u003e16 (47.1)\u003c/p\u003e \u003cp\u003e17 (50.0)\u003c/p\u003e \u003cp\u003e14 (41.2)\u003c/p\u003e \u003cp\u003e31 (91.2)\u003c/p\u003e \u003cp\u003e5 (14.7)\u003c/p\u003e \u003cp\u003e7 (2)\u003c/p\u003e \u003cp\u003e6.5 (0.9)\u003c/p\u003e \u003cp\u003e153.4\u0026thinsp;\u0026plusmn;\u0026thinsp;25.5\u003c/p\u003e \u003cp\u003e103.8\u0026thinsp;\u0026plusmn;\u0026thinsp;26.00\u003c/p\u003e \u003cp\u003e17 (4)\u003c/p\u003e \u003cp\u003e180 (30)\u003c/p\u003e \u003cp\u003e1950 (1200)\u003c/p\u003e \u003cp\u003e54.7\u0026thinsp;\u0026plusmn;\u0026thinsp;7.8\u003c/p\u003e \u003cp\u003e21.7 (0.9)\u003c/p\u003e \u003cp\u003e5 (4.3)\u003c/p\u003e \u003cp\u003e70 (40)\u003c/p\u003e \u003cp\u003e1221.3\u0026thinsp;\u0026plusmn;\u0026thinsp;493.8\u003c/p\u003e \u003cp\u003e47 (32)\u003c/p\u003e \u003cp\u003e7.5(4.0)\u003c/p\u003e \u003cp\u003e23 (67.6)\u003c/p\u003e \u003cp\u003e2 (3)\u003c/p\u003e \u003cp\u003e24 (9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e44.1\u0026thinsp;\u0026plusmn;\u0026thinsp;8.1\u003c/p\u003e \u003cp\u003e37 (77.1)\u003c/p\u003e \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e \u003cp\u003e9 (2)\u003c/p\u003e \u003cp\u003e27 (56.3)\u003c/p\u003e \u003cp\u003e21 (43.7)\u003c/p\u003e \u003cp\u003e21 (31.8)\u003c/p\u003e \u003cp\u003e13 (27.1)\u003c/p\u003e \u003cp\u003e42 (87.5)\u003c/p\u003e \u003cp\u003e6 (12.5)\u003c/p\u003e \u003cp\u003e7 (1)\u003c/p\u003e \u003cp\u003e6.5 (1.7)\u003c/p\u003e \u003cp\u003e153.3\u0026thinsp;\u0026plusmn;\u0026thinsp;29.4\u003c/p\u003e \u003cp\u003e108.8\u0026thinsp;\u0026plusmn;\u0026thinsp;23.2\u003c/p\u003e \u003cp\u003e16 (4)\u003c/p\u003e \u003cp\u003e180 (30)\u003c/p\u003e \u003cp\u003e2000 (800)\u003c/p\u003e \u003cp\u003e51.4\u0026thinsp;\u0026plusmn;\u0026thinsp;8.6\u003c/p\u003e \u003cp\u003e21.4 (1.5)\u003c/p\u003e \u003cp\u003e5 (4.8)\u003c/p\u003e \u003cp\u003e70 (35)\u003c/p\u003e \u003cp\u003e1250.5\u0026thinsp;\u0026plusmn;\u0026thinsp;509.6\u003c/p\u003e \u003cp\u003e38 (30)\u003c/p\u003e \u003cp\u003e6.0 (4.8)\u003c/p\u003e \u003cp\u003e9 (18.8)\u003c/p\u003e \u003cp\u003e0 (0)\u003c/p\u003e \u003cp\u003e22 (13)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003csup\u003e\u003cb\u003ea\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e0.51\u003c/p\u003e \u003cp\u003e0.86\u003c/p\u003e \u003cp\u003e0.02\u003csup\u003e\u003cb\u003eb\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e0.77\u003c/p\u003e \u003cp\u003e-\u003c/p\u003e \u003cp\u003e-\u003c/p\u003e \u003cp\u003e0.58\u003c/p\u003e \u003cp\u003e0.18\u003c/p\u003e \u003cp\u003e0.60\u003c/p\u003e \u003cp\u003e0.77\u003c/p\u003e \u003cp\u003e0.10\u003c/p\u003e \u003cp\u003e0.58\u003c/p\u003e \u003cp\u003e0.98\u003c/p\u003e \u003cp\u003e0.37\u003c/p\u003e \u003cp\u003e0.87\u003c/p\u003e \u003cp\u003e0.85\u003c/p\u003e \u003cp\u003e0.64\u003c/p\u003e \u003cp\u003e0.08\u003c/p\u003e \u003cp\u003e0.38\u003c/p\u003e \u003cp\u003e0.98\u003c/p\u003e \u003cp\u003e0.55\u003c/p\u003e \u003cp\u003e0.80\u003c/p\u003e \u003cp\u003e0.08\u003c/p\u003e \u003cp\u003e0.08\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003csup\u003e\u003cb\u003ed\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eData are shown as count n (%), median and interquartile range (IQR) or mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003ePOCD, postoperative cognitive dysfunction; BMI, Body Mass Index; ASA, American Society of Anesthesiologists; CPB, cardiopulmonary bypass; ICU, intensive care unit. Duration of deep hypothermic: nasopharyngeal temperature\u0026thinsp;\u0026lt;\u0026thinsp;28℃; POD, postoperative delirium; \u003csup\u003e\u003cb\u003ea\u003c/b\u003e\u003c/sup\u003e t test; \u003csup\u003e\u003cb\u003eb,d\u003c/b\u003e\u003c/sup\u003e Mann-Whitney U test; \u003csup\u003e\u003cb\u003ec\u003c/b\u003e\u003c/sup\u003e χ2 test.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eNeuropsychological Tests Score\u003c/h3\u003e\n\u003cp\u003eThe neuropsychological test battery results were presented in Tables\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. There were no significant differences for preoperative neuropsychological test battery scores in POCD and non-POCD groups. Postoperative test battery scores were significantly decreased compared with group-matched baseline. Furthermore, The lower scores were found in POCD group compared to non-POCD group (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The lower TICS-M and ADL scores were also observed in POCD group in 1, 3 and 6 months postoperatively (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e\u003cimg 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P7m9zFsQBEKIT8tbFEXCcRy136qRn5M8J/I7lP0cPc8b+z6apqnOr2maIooiEQSB0HVdfbZCfHpu5bbJ48l18tzL48lti86/TEemJc9hMo/ZMpE9VnJZ9v0nryGe56XWBUGg8pVHljW5b7IcTsqffJ1MN/v9yTt3yTQWlfy+JctLsiwlv4/Jcy6ESH1vs+Uy+b6T5ydb5uQ6eZ7l8WS6Mj9yXbZ86rouTNMUlmUJy7JSeZR/y/eSPVZyWfb9y+PL79ekvGQl3798P3nf22z+st95mb/HOI7zpO3ocQwCc+QFgfKLIy8Guq7nXjyz2ycLavaiSq9HXryS5yt5A8zbVp6bonOavKHKbZIByWNBYDJgSV5087bN5nEVJAOJvIAi+fkL8ek5FeLT76w831I2CCy64cqgMfm9z57HovMvxKff7ezxs/lIvp/HgsDs8ZPXkuR7l/vJ9yTlleOi70Be/rLXsKfcdGX6sqwvIlkGkv+S+c37Lstzki1PyW2Sn13y/GTTzH6uyetD9nhyWyHSFYe860MycJfvJ1umHju+XJ/33pN5ScrunwxWH8ufEOnrofz3GFnRo+djd/CUGo2G6uqN41gNhJVdAZO6ZaIoAoBXm5lFxZLj887PzwF82h1xdHSU2vaxc6rruppg8pzB1XKANgB1LNlFeH9/P3O6yy45ISt53orGWMZxjE6nA9M00Wg0Jg61KOpqn+bznnT+t7a2Uq9lt26v13ty+lKpVIJpmhPHRGqaprq8k+XpqSblT463arfb8H3/SeOv5DVuGYY0yIkhQgjVpV2Ub1n25P+6rk+cCCI/h8eWFZHdt3LMaDJfuq6PdYPato1qtaomU01DdrN2u13EcYyNjY0n5+WpJuWv2WwCeBhbenV19ehQgjiOMRqN2BX8QhgETil54ZADuMvlshoULS/IeeTAb8uy0Gg0luJC+ZZkZwZXKhWYppl70Zl0ToMgUGXgJQdXi8Sg52UfU/UaiiZayZvBxcUFgiBAv98vvEEX3TjW1taenI+nnv84jtFoNGBZ1lTpJ8kb5NnZGba3t8fWyycaCCFSY6ae4rH8lUolNZO21+s96aYrA9dlvUEX5TtZ9sSvnzYwaRZ03lMIpnkyga7rqevBpM/T9310u10cHx8/Of0seZ5PTk7GytE0eZklf/V6Hbquo9/vPym96+trzgp+QQwCnyhZK5ZqtRrCMFSDWLMtSpJt24jjWLVQHB4evnJuKcv3fVUT39vbUxfv0Wg0diEvOqfJGqvc7iUeCyEvwDItORCf0uTnf319jTiOEUWR+uxqtRriOEa5XM6doXp/fw/XddVM0KurKwAPrRzZoEXejK6vrwF8+hiKac+/3D+OY/V3njAMC3sGZMtit9tNVQxknuSEJ9/3x9IolUrQdV31WmTL1FPyJz8v+d7z8p4dyN/v95f6GmdZlvrM5Oci378MBouCf9/3EYahOj9hGKrPPRu4yBm7w+EQwMNnnWz9TU4wmdRgIPe/vb1Vf+dxXbcwnZ2dHQDpVr6n5kWW0cFgAODT79Y0+ZOfzVNam3u9Xm6FiGb0zjqel0Ry7Jj8J2XHLAnxMP4hOaYsOSZILguCIDUhABifpEAvJ3v+kv+S40jkMtM01Xk3TXPiOU2OJ5JjZbLnNfs6efzseCQpWe5WsWzkjdPKk/w8k+OcLMvKHdeWN2i/aBJDcvxU3vpsPrMD+7N5yo6BSv6dfC/Z8WbZMicnAWQl81k0Bi+Zh+T2ckzVpPxJj030eMp5WxTZ63vRRIeia3XRZy4/v7xl2eXJ8170mSfzmDeuOZmnZHlOHlPuJ4/jOE7qnOddD/PGtOblJSuZh+xn91j+hBBPniwZRdHCTzxaNpoQz3gSMhHRGxGGoRoisGzP6ntNrusu1TPlFp3rumi323Ach5/rr8lW12mHNNDzsTuYiIhS5DMtwzBk1xu9GsMwYNs2zs/PGQDOCYNAIiJ8Ou6r3++v/MPcNzc3EUURjo+POUnpBcVxrMaVt9vthf6puXfBMIxn/VILPR+7g4mIiIhWEFsCiYiIiFbQZ14z8Um/NUhERES0KFaxY/RVg8BV/ECJiIiIlgG7g4mIiIhWEINAIiIiohXEIJCIiIhoBTEIJCIiIlpBDAKJiIiIVtDcgkDDMKBp2ti/MAxzt7NtG67rIo5juK6bu69t27BtO3edYRgT81LEtu2xPBEREREtu7kFgaPRCKZpIggCCCEghIBlWahUKvB9H8DDD21Xq1UIIbCzs6N+bqfVasHzPFiWpfZNPo4miiIIIaDruvo7L9CL4xiapmE0GhXms9Pp4Pj4WOWJiIiI6C141ecETqvT6QAAjo6OUK/XcXNzg83NTQBAvV7H7e3tk/bPc3FxMbbMtm1EUfRovi4uLmAYBn/gmoiIiN6MhRsTeHh4iCiKEMcx9vf30W63Yds2gIcWwFKpNLZPGIZTt9TFcQwAKr1araa6o2UXctLBwQFbA4mIiOjNWLggULq/v0e5XEYQBOh2u9A0bSwIk8srlcrU6V9fX6cCStlS2Gw2IYSAaZqpsYAbGxsYDoczvhsiIiKixbKwQeDa2hoAoFwuQwgBz/PQaDRSgZkcExgEwdTpF3UtDwYD9ffd3V1qnWw9JCIiIlp2CxcEnpycQNd1lEol1Q0MPIwJdBwHV1dXY/uUy+Wpx+ttbGxMnbe8rmgiIiKiZbRQQaBt2+h2u+j1eqll0uXl5UzBW56tra2pWvZub2+xs7PzIscmIiIimre5zQ42DANRFKHf76eWR1GUanHb2dlRkzRM00S9XofruupxMXEc5878lfvouo4gCFAul1Pr5THCMES5XEatVgMAVKtVVKtV9Pt99Pt9bG1toVQq4fT0dOKjZIiIiIiWiSaSD9hbMXEcQ9d1PPYR1Go1NJtNPiKGiIiI3oyVDgIlwzAKW/ls28b+/v5YSyIRERHRMmMQSERERLSCFmpiCBERERG9GwwCiYiIiFYQg0AiIiKiFcQgkIiIiGgFMQgkIiIiWkEMAomIiIhWEINAIiIiohXEIJCIaAHFcQzDMFLLfN9P/Z460TTyypTrunBdd045onnjw6KJiBZM8vfRAcDzPPR6vdRvrWd/Z51okrwydXR0hCiK1DKGA6tnaVoCDcOApmmpf77vF26Tre0AD7Wg5Po4jlUtKJu2pmmsca+YZPl47Nwny5fv+6nXruuOlU2iabRaLQRBAODhxlyv13FxcQHHcWCaJoQQqQAwWXZZ9ihPXpkajUawLAuWZY0FgGEYqjIVhuE8skzvwNIEgaPRCKZpIggCCCHgeR4ajYYqnJqm4eDgAEIICCFwcHCQujGHYQhd19X+g8EAuq7j5uYGrVYLnuepL4IQAkEQoNvtolarzest0ztm2zY8z1Plo+jCp2kaBoMBgIcAsNFopNa3Wi0Mh0N2sSwh3/efdOOr1WpquziOC7eT16C8dG3bnniMZrMJz/NUhSSOY5yenmJ3d3cs0Ds/P1c38+Fw+OT3S4unVqtNLBe+76triyxTyftUXgOIlC1TYRiq8ps95tnZmap0XF1dzfx+aMGJJWKapgiCQL3WdV04jiMsyxKmaY5tL9fLfeXfSZZlCSGE8DxP/S0FQSAApI5Jb5eu6yKKIiHEQ7nwPG9sG8uyxspDEARC1/WxbU3TVOnRckheD/KuKUI8nO/HrglRFInk5bUoXdM0c8vZLAAIAGPXMVoej91z5P1OCJEqR8l7XbbszUqmAyD33klvw9K0BGaFYYgoirC9vY3BYIDd3d2xbarVKi4vLxHHMfr9Pra3t8e26XQ6hccol8usBa2QarWaanWp1+tj2wwGA5TL5Sel12w2cX5+/qJ5pNcTx7G6HmxtbRWOtzs+PkalUpnY7WrbthprNSndi4sLHB0dPTvvtm3DsiyYpvnstGh+zs7OCs9hHMe4vLxUZeni4kKtOz4+xuXlJQCgVCohCIJnD2eybRuO40DX9WelQ4tt6YLASqUCTdNQqVTgOM7EG/Lm5iZGo5F6vba2NtMxb25uZtqPlkun08FoNIKmabmVgzAMJ3a1ZK2vr6sLMy2+ZHB2cnJSWEHsdDoQQqDRaOR2+cvuNZneY+keHBy8yDi+brer/p/URU2LyXVdHB4eFq4/Pz9Hs9nMXbe+vp4qZ+VyWQ1ZeY52uw3DMFITSuht+cy8MzCtIAie3BIDTB4f8VSbm5vPToMWXxzHODg4wOXlJarVaqoCAQB3d3dTp5lNgxafpmnq77xAUN5shRDQNA2tViu1/vr6OrcVsSjdjY0NDIfD3Jbnp+Q1CAJ0Op2JvRq02LIVhzyXl5eFrcZXV1fY399PLTMMA2EYTnW/jOMYuq4jiqJUSyO9XUvXEphHdvtmyUHUpVIJuq7nds1NmvgRhmFhNzK9PdVqFa1WCxcXF6hWq2OtPOvr61On+RKVEHq3xK8nnsmWtUksyxprdbu9vZ063ee03E1zk6fFdH5+PlaZyJpUoby5ucktB7NUXHVd56OHVsibCAI7nQ76/X7qpi3HQ8gvVq/XQ7vdTs2Asm27sGYVhiEqlQosy+JFdkVEUTRxVl65XJ6qZe/u7i53rCotvnq9/uSxUNkb5sbGxtTpznrTFXyu25vQbrfVTN9+v5875rSoQlmr1QpbgaetuJZKJfZerJq5TkuZgq7raqZS0Wy65DZ5M/vkzKtsOo7jpJaDM6JWUrJ85M32FWJ81vCkfTg7eHlFUVQ4O1gKgiD3GjFp37x1juO82AxhWn7Zp2BIeeUk+bQCz/PGnp5B9JilCQKJFgWAR4M7y7JYiVgynucVBvSy0pgM+icFickb+aR0heDNmtKKgsAoilJlJdnokS1bQRDwUUH0JPzZOKIZGIZR2G3iui42NjZmGuhPb4McYP/Y5bVWq6HZbLKs0JO4roubm5uJk4CeWvaIAP52MBHRq5lUWbBtG/v7+xxzTFPxfR+3t7eFE0kmlTmiLAaBRERERCvoTcwOJiIiIqLpMAgkIiIiWkEMAomIiIhWEINAIiIiohXEIJCIiIhoBTEIJCIiIlpBDAKJiIiIVtBSBIFxHKsf107+qHYYhmq5bdvPOkYyreS/onwUHdN1XbXedV24ros4jmEYRm76YRg+K9/0cpLn97HylPwxd9/3U69d1x378XeiWSSvJ0Svoej+SqthKYLAUqkEIQQsy0Kj0UAcxwCAcrmMKIrgOM7En9F5CpmW/LkdIQRM01Q39zAMoes6giBQ6+M4TgULtm3j9PRUrQeAdruN+/t7jEYjmKaZ2t+yLFQqFX7xFoRt2/A8D0IIDAaDwgBd0zQMBgMADwFgo9FIrW+1WhgOh3Bd99XzTPMlK4/JSkCWbduqLMkbrryGhWE4scJxenqKIAjUtrRafN9PNRrUarXCbbOVz2QjQxzHhfuen5/DsixYloXhcPiyb4AW3lIEgUmO46Barb6TYx0dHSGKIsRxjGazCcdxUj/x1Ol00O12EYYh4jhGt9tVwQHwEAx4nleYfqfTgWVZODo6etX3QU8zGo2wtbUFAKhWq7i7uxvbxrZtBEGAUqkEAKjX6+omndTpdHB5ealu9vT2uK6LSqWCKIoKf6arVqthZ2cH5XJZ/aZrUrlcxs7OTuEN+vj4GJVK5cXzTstDNhpM+nEvWZGQv0GdbTkulUo4OjrKray0Wi10u110u90XzDUti6ULAlutFgzDKGxlqdVqqtYUx7Gqqdu2Ddu2VTftU5ydnamLdhRF2N7eTq0vlUrQdR1XV1c4Pz+HrusqOJDq9frE3wY9PDxUgSbNV7VaVRfTOI7VBTVpMBg8+bdem80mzs/PXzSPtBjCMES73YYQYuw7L/m+j93dXVWOZI9GVr1ex+7ubm6PQKPRmFiRpLcteQ0KwxDNZnNsG9nal/wtYSFEboXj+Ph47P5n2zYsy4Jpmi+ZdVoSSxcEAg+tLO12e6x7xLZtNJtNCCHgeR50XUe5XIbjOOh2u9jZ2UEQBLi8vCxMO4oiFURmW/byGIaBm5sb9QEn5s0AACAASURBVPes7u/vZ96XXkan08FoNIKmabnDC8IwnOocr6+vTyxrtLzOzs5gWVaqwpnV6/Wwt7f3pPT29vbQ6/Vy1x0dHUHXdRwfHz8rz7Tcrq6uVE9F0tnZGfb395+URr1ex+np6dhy2QrY7XbZILFiljIILJVK8DxvrJtkMBioL0m9Xoeu6ypQtCxL1aqKum4ApMYETqrlJ21ubs76VpS1tbVnp0HPE8cxDg4OYJpm7pCDvO7hx0wqa7S8BoMBNjc3IYSA4zi54/r6/f6Trh/AwzWt3++PLRdCYDQaYTQa4eLi4tn5puV1eXmZW54Gg8HU949koNfpdCCEwMXFxZPvefR2LGUQCDwEeZZlTRxU/VirTXLA7aTaT7LbNymOY/T7fWxvb2N7exv9fn8snTAMJ3Y/n5yc5HYj07tXrVbRarVwcXGBarU6dt7W19enTvM5rcO0uKIoUt1ve3t7YwHcrK0pbIWhPHEcY3d3N3ddFEVTp8eeJ5KWNggEPu2+k5JjuoCHVphJ47emafHr9XpjXdDVahWWZaFcLqNcLsOyrLEWpGazmRqrkWTbNrrdbmE3EL1bURRNnIFZLpenatm7u7srvHDTctN1XQVsspKYNGuljpVBynN9fT02Jl3Klr2nYM8TKWJJmKYpAAgAIooitTwIAuE4jnqt63pquyAI1GvHcdTflmWl0k9uV/SxRFGU2iZ5XMmyrNx0kvlK/ku+F5qvZBnQdT13G8uyhOd5T9rHNE2e3zfKcRx1DfE8b+x6IkTx+c/73kdRJEzTfJ3M0tKbVDYsyxJBEIwt13W9cDmRpAkxYd45EY3RNA1RFE1stbFtG5ubm4WtwLT8arUa+v0+dF3PbSH2fR/D4TA1ySj56I5kGXJdFxsbG7kz0ols2y58Fm4Yhjg+Pk6NGTUMQ3UTB0GgesR838ft7S2vS6QwCCSagWEYhV3DvKGTVKvV0Gw2J5YF3/fR6/U48YNm9pRKp3zEDCerURKDQCKiV2TbNvb393PHJ4dhiLOzs2f/4hHRpMqn/HUrVjQoi0EgERER0Qpa6tnBRERERDQbBoFEREREK4hBIBEREdEKYhBIREREtIIYBBIRERGtIAaBRERERCuIQSARERHRCmIQSERERLSC5hYEGoYBTdPG/oVhmLudbdtwXRdxHMN13dx94zgG8PAU/rz1eelLtm0XrgvDELZtv+wHQERERDRHcwsCR6MRTNNEEAQQQkAIAcuyUKlU4Ps+gIefwalWqxBCYGdnB+12GwDQarXgeR4sy1L7ep4HXddV+o7jQAgBx3FSf+ep1WrY2dnJ/VknACiXy9jZ2UGtVnvhT4GIiIhoPj4z7wwkyd/PPDo6Qr1ex83NDTY3NwEA9Xodt7e3hfvW63UcHR0hDEOUy+XcgC7vx7V938fu7u7EH3hPHt/3/Ue3JSIiIlp0Czcm8PDwEFEUIY5j7O/vo91uq67YVquFUqmUu5/v+4iiqLA1r0iv18Pe3p5KQ9M0uK6LWq0GTdNUqyQA7O3todfrzfjOiIiIiBbHwgWB0v39PcrlMoIgQLfbHQvIAKjlmqah0WhACDH1cfr9vgos6/U6LMtCu93G0dERPM/DcDhU25ZKJfT7/ee9MSIiIqIFsLBB4NraGoCH8XhyzF+j0UhN3kiOCQyCYOLEjzxyIkmW4ziqRTFvm6L9iIiIiJbFwgWBJycn0HUdpVIpNSO3Xq/DcRxcXV3l7lcul2GaJs7Ozp58rKKu5dfaj4iIiGhRLFQQaNs2ut1uatxdMhC8vLzExsZG7r5hGKLf76uJJE9lmuaTW/biOIZpmlOlT0RERLSQxJzoui4AjP2LokhtY1mW8DxPrTNNUwghhOM4uftalpU6hmVZheskz/PUuuSxksdwHEcd1/O81/g4iIiIiN4pTYgZZlO8MbVaDc1mc+KjX3zfR6/Xw8XFxTvMGREREdHrWKju4Hm5uLjAcDic+Ishw+GQASARERG9GWwJJCIiIlpBbAkkIiIiWkEMAomIiIhWEINAIiIiohXEIJCIiIhoBTEIJCIiIlpBDAKJiIiIVhCDQCIiIqIVxCCQiGgBGIaR+h3zMAxRq9XmmCN6a+I4hmEYqWWu68J13TnliOaND4smIpqjMAxRqVTUa8uyAADdblctC4IA5XL5neeN3g7XddFut9Vrz/NwdHSEKIrUMoYDq2dpWgINw4Cmaal/vu8XbpOt7QAPtaDk+jiOVS0om7amabBt+129PVogsjxMOv/J8uX7fuq167pjZZOoSLlcVjffIAjQ6XTQ6XTgeR50XYcQYiwAlNcotuDQU7VaLQRBAOAh2KvX6xiNRrAsC5ZljQWAYRiqclb0k6q0/JYmCByNRjBNE0EQQAgBz/PQaDRU4dQ0DQcHBxBCQAiBg4OD1I05DEPouq72HwwG0HUdNzc3aLVa8DxPfRGEEAiCAN1ul90xK6ZWq+H09BRCCHQ6ndxtNE3DYDAA8BAANhqN1PpWq4XhcMgb9BuRrCQmu2uz4jhW14tkhVPuU6vVCve3bRue56HZbKpljUYDx8fHY+XI932YpgnHcXB5efnct0cLolarFTZgJPm+nyoThmGkKp2T9m82m/A8T1VwwzBUZTIb6J2dncFxHJimiaurq6nfDy0JsURM0xRBEKjXuq4Lx3GEZVnCNM2x7eV6ua/8O8myLCGEEJ7nqb+lIAgEgNQx6e1yHCe3HCVZljVWHoIgELquj21rmqaIouhF80jvVhRF6rohrzV5smVA13URRZGIomhs+UtcT3RdFwAeLa+0HDzPU+XCNE3heV7udtkyKMtBcvsoisRL3NplOgBy7530NixNS2BWGIaIogjb29sYDAbY3d0d26ZareLy8hJxHKPf72N7e3tsm6LWHuChm4a1oNVxenqKUqk0sTY+GAyePDar2Wzi/Pz8JbNIc9BqtQAA29vb2NzczN2m2WxiNBoBeLg2GYaBUqmEUqmEarWqWllGo1GqtW8WruvCMAw1dpCW39bWlrqu7O7uYn19fWybOI5xeXmZumfJHrKkUqmEIAiePZzJtm04jgNd15+VDi22pQsCK5UKNE1DpVKB4zgTb8ibm5vqwgwAa2trMx3z5uZmpv1oecgukZ2dHQghYBjGWDecvLk/1fr6OrvrllypVFJ/n52dqYAwKQxDVKtV9frq6ipVKd3c3ExVJJNB4az6/b6q3HK81vKT5Uxeh/Lua+fn50+uQJTLZTVk5Tna7TYMw0hNKKG3ZemCQDmmTwiRe0HOmuamXaSo9k9vx/39PQzDQL1eB/DQspMN4O7u7qZON1kJoeUkx/d1u93ccZ5XV1dTXSOyQeFTybFfrVYLQghcXFzkThqh5eT7PnRdR7vdzg3sLy8vc1sIixiGMXUFQZb1OI5V+ZL/09u0dEFgHtntm3V6eord3V2USiXoup7bNTdp4kcYhoXdyPS2rK2tpQK29fX1VCuQXDatl6iE0HyVSiUIIeA4Dk5PT8fWz9JTMGvvwtbW1kz70eKr1+sQQsA0TZydnY2tn6VCOUvFVdf1sWsfvV1vIgjsdDro9/upWrocDyFbC3u93lgNy7ZtHB0d5aYpn91lWRZr2iugVCqlZtmdnZ1hZ2cntU25XJ7qQnx3d5c7VpWWU1HPQ7YVcHt7O1Upvby8HKtIztK7MBqNeHNeAUX3pFkqlNNWXEulEnsvVszSBIGGYaDf76NSqeQ+g00IgdPT09RjGZKFuVwuIwgCNaZQ0zTs7OygXC7DdV00Gg10u121To45nDRxhN6Wi4sLNBoNaJoGAKprOKlarabKn6wsRFE0dpHu9XrY29t73UzTO5Md+ydtb2+nWvZkZSGOY3UdSlYkb25u2LtAha6ursYqoMDDhJFpWvay5Y4o17ymJRMtKwCPPvrFsiw+VuENcBxHPSZj0uNY5CNhJPl4qbyykvc4IVptpmk++jiW7OOGsvslHxMTBEHh44yIkvizcUQzMAyjsNvEdV1sbGzktiTS2xSGYeoxMUUMw0Cv12MLDc3EdV3c3NxM7KGK41j90gzRYxgEEhG9gDiOYds2Li4uctfXajV0Oh2O66Nn8X0ft7e3hWNUJ1VQibIYBBIRERGtoKWZGEJEREREL4dBIBEREdEKYhBIREREtIIYBBIRERGtIAaBRERERCuIQSARERHRCmIQSERERLSCGAQSERERraClCALjOIamadA0Db7vq+VhGKrltm0/6xjJtJL/ivJRdEzXddV613Xhui7iOIZhGLnph2H4rHzTy7Jt+0nnxjAMAOnzLbd3XTdVTolmlSxfRK+lVqtB0zTUarV5Z4XesaUIAkulEoQQsCwLjUYDcRwDAMrlMqIoguM4E39L8SlkWvI3F4UQME1T3ezDMISu6wiCQK2XPxMl2baN09NTtR4A2u027u/vMRqNYJpman/LslCpVBgwLIg4jrGzs6POT9Hvu2qahsFgoII+IQQ8z0OlUgEAtFotDIdDuK77zvJO8/NYgGbbtiorsiIpr2FhGE6swJ6eniIIArUtraYwDB8N0OS9Cnj4abnk60kV0ziO0e/3EQQB+v3+y2SYlodYIpZlCcdxhK7ralkURcJxnBdJP4qiVNpBEAgAann2OFEUCQAiCAL1dxRFqW08zxNBEAghhDBNU/2dfE/JY9L8WJYlAEwsT5ZljZ1DSdf11DrTNMfKA70tjuOISZdR0zSF53lCiE+vF9nrhOd5wjTN3P09z1P7FJU7evtM0ywsI0KIVJmSZSZ7X5H3zzzy2rdkIQG9gKVoCUxqtVowDKOwlUU2a8vatuzmtW1bdfU9tYXm7OwMuq4DAKIowvb2dmp9qVSCruu4urrC+fk5dF0f+3H4er1e2KIEAIeHh4iiSLUM0PwcHh5CCIHT09PC1pnBYFB4Pg3DwNramnrdbDZxfn7+Knml+XvsO+v7PnZ3d1Gv1wF82qORVa/Xsbu7m9tS02g04Hney2SYlpIsR0Vs20YQBOreU6/XVetxUqfTweXl5Vi5DcMQ3W6X5WxFLV0QCDwU5na7PdY9Yts2ms2m6p7TdR3lchmO46Db7WJnZwdBEODy8rIw7SiKVBDZ7XYxGAwm5sUwDNzc3Ki/Z3V/fz/zvvQy5EV0NBphMBjkXiwfO8fJSsD6+vrEskbL7eTkBK1Wq3B9r9fD3t7ek9La29tDr9fLXXd0dARd13F8fDxTPmm5DYfDsQaIpEkV06xJFVNZ/jiMZbUsZRBYKpVSY7CkwWCAra0tAA+1IV3XVaBoWZaqkY9Go8K0k2MChRBjLXt5Njc3Z30rSrIFiebv4OBgLDC/u7sr3N513dxxqZPKGi0v3/exv78/cZt+v/+k6wfwcE3LG48lhMBoNMJoNMLFxcVMeaXlZdv2xPHuT6mYJuVVTMvlMoQQuLi4gBBiYsWG3p6lDAKBhyDPsqyJg6of+3IkZ+lO6tpJdvsmyQG129vb2N7eRr/fz209mlSzOjk5ye1GpvnLBubr6+u528mKRt45fE7rMC2u29vbia0vsw7v4LAQkuREtUkmVUyLsGJKSUsbBAIP3cLJAl2tVlNB4Wg0mnihnqbFr9frjXVBV6tVWJaFcrmMcrkMy7JQrVZT+zWbzcKalW3b6Ha7hd1ANB9xHOPm5masTJTL5bELaBzHOD4+Vuc4Wf7u7u4mjuWh5RSGIdrtdurRLdmK5KyVOlYGSTo/P0ej0YCmaahUKuj3+2OVyqKK6SSsmFLKfOajTM80zdyZdUEQpGY86bqe2k7O8MWvZ33Kvy3LSqWf3K7oY0nO7kPBLNLkLKtkOsl8Jf9x9uhiSJ7bSbO1LctSsz2TMzflP7lOCM4OXhVF14ui85/3vY+iaOLsT1ptQRAUlo+861UQBLnLPc97sadp0NugCZEzXY2ICmmahiiKJrba2LaNzc1Njq9ZAZqm5c769X0fw+EwNaYr+UzBZBlyXRcbGxtq3DJRUhiGOD4+zh0Xats2dnZ2VNkJw1CNl9d1PdV7UavV0Ol02OJMCoNAohkYhlE4toY3dJJqtRqazebEsuD7Pnq9Hid+0MxYMaVZMQgkInpFtm1jf38/d3xyGIY4Ozt79i8eEbFiSrNgEEhERES0gpZ6djARERERzYZBIBEREdEKYhBIREREtIIYBBIRERGtIAaBRERERCuIQSARERHRCmIQSERERLSCGAQSERERraC5BYGGYUDTtNQ/13Vzt3VdF4ZhpF7n7SPT/MY3vpFKN45jtY1t22PH1TQtlX5eXovYto0wDKd560RERERzN7cgcDQawTRNBEEAIQSCIEC73c4NqG5ubmAYhlrXarVgWRYsy0r9DuJoNIKu6/ibv/kb9YPuQoix31OMoghCCOi6rv7OC/TiOIamaYU/xQMAnU4Hx8fH8H1/ps+BiIiIaB4+M+8MSOVyGbqu4+7uLrU8jmNsbm5ic3MTV1dX6vc3Dw8PUa1Wx7Y9Pj6eeJyi3+jM+/F227YRRdGjeb+4uIBhGPxdRiIiIloaCzMm0Pd9RFGEra2t1PLr62tsb29jb28Pp6enanmpVEq1DgLA+fn52P6zkl3IshWxVqtB0zSEYai6kJMODg7YGkhERERLY+5BYKVSgaZpODo6yu26vb29Rblczg36ms0mzs7O1Oubm5ux/Wd1fX2dSku2FDabTQghYJpmKi8bGxsYDocvcmwiIiKi1zb3IDAIAgRBMNa1K7XbbdXy1u/3cXV1pdbV63V0u10ADy13Ozs7L5av29vb3OWDwUD9ndd1TURERLQM5h4EAlDj/LLdqWEYqokjQghEUZTqEgYAy7Lg+/6LdgUDDy1703qpVkgiIiKi17YQQSDwMGGj0Wiklp2dnakAEcgfB7i/v49er/ekrmDf9588bm9ra2uqlr3b29sXbYkkIiIielViTnRdFwAEAOF5nhBCCM/z1DK53rIstU9yveM4qbSSr6MoUttl/0nJZUEQ5ObRNE21zjRNlS/LstS+URSpPBAREREtC02IXz9Qj8bEcQxd1/HYR1Sr1dBsNvmIGCIiIloaDAKfwDCMwgdG27aN/f39VLc1ERER0aJjEEhERES0ghZmYggRERERvTsMAomIiIhWEINAIiIiohXEIJCIiIhoBTEIJCIiIlpBDAKJiIiIVhCDQCKiBef7PmzbTi2r1Wqpn9AkmkYcxzAMI7XMdV24rjunHNE88DmBREQLrFarod/vq9c//vGP8dWvflW9Nk0TFxcX88gaLSnXddFut9Vrz/NwdHSEKIrUMoYGq2FpWgINw4Cmaal/vu8XbpOt4QAPNZ/k+jiOVc0nm7amaWM1b1p+8tzWajW1LAzD1HnPKztAuvwk98/yfX+sNi33y6t9E01ycXEBx3FgmiaEEPjKV74CIQR0XYfneWMBYPJ6RpSn1WohCAIAD8FevV7HaDSCZVmwLGssAExeI9n6/LYsTRA4Go1gmiaCIIAQAp7nodFoqAKpaRoODg4ghIAQAgcHB6mbbRiG0HVd7T8YDKDrOm5ubtBqteB5nir8QggEQYButzvxZk/LpVarqfM7Go1UoHZ3d6eWCyEKg7Tz83O1TVHLi+u6GA6HaLVaAD69eHqeByEESqUSBoMBb9ALRgb4cRznrp90vnzfVzfISV1ptm2nbqCybBiGgTAMCyudcRzj9PQUu7u7quLrui4ODg5wdHQ0tv3p6am6wfOGvfgMwxhr0LBtO1VxLJKscNZqtbFK7KQKZ7PZhOd5qtyFYaiOlS03Z2dnqiJydXU13RukxSaWiGmaIggC9VrXdeE4jrAsS5imOba9XC/3lX8nWZYlhBDC8zz1txQEgQCQOia9DZ7n5ZaZKIpyy0kURQKAmPSViaJoLM2i8hMEwVh5o/lIntsoisbWO44z8bznlZcs0zSF53ljaSaPV1Qmp+V5nno/vHYtNl3XBYBU2QiCQOi6LoSYXCbkvU9uJ891sqzJsv1cye/IU8o7LY+laQnMCsMQURRhe3sbg8EAu7u7Y9tUq1VcXl4ijmP0+31sb2+PbdPpdAqPUS6XWfN5o9bX11EqlcaWX19f55YTAKoFuqh2fn5+jmazqV77vg/LslCpVMaGL5TLZQwGgxd4J/RcpVKpcPzTpFYY4OEct9vtR4cH7O7uol6vA3i4drXbbdUyLNXr9VRr36wajQY8z3tWGvRuyB6upLu7O1SrVQDA1tYWRqPR2H5xHOPy8lLdv7a2tlAulwEAu7u7WF9fB/BQtoMgePbQJtu24TgOdF1/Vjq0eJYuCJQ31EqlAsdxVMHPs7m5mfoCra2tzXTMm5ubmfajxXV1dYX9/f2x5b1eL7dMyZt1vV6H53k4OTkZ2+by8lJdfAFgOBwijmM1vKDRaKS2l92AtLhOTk5U136era0tFcwVdb31ej3s7e2p12dnZ7AsK7e7b29vD71e79n5Pjo6gq7rOD4+fnZa9G5tbW2h2+0iDENcX1/nnsNshVNen2RZSl7DXqrC2W63YRhGakIJLb+lCwLlmD4hxMSLs/QSg/A3NzefnQYtlpubm4nB3iT1ej23hShbY4/jWI3ZKpfL0HV9LOi7u7ubJtv0Dvm+n1tRSJLlpdPpoFqt5rbi9fv9VLkaDAbY3NyEEAKO46RaaUqlUmom8DR5ldc68esxr6PRiLOGl1CpVILneahUKhgOh6oFOSlb4QQeyoCu62i322PXmVkqnMlxshcXF2osdFGrOS2npQsC88hu3yw5mLpUKkHXdZyfn49tM6kbJwzDwm5kWl61Wi13GEAYhtjZ2XlSGnnBYrbCUSqVUkGeYRhjrdHZCzktjtvb24k9DVn7+/u4vb1NLcurLERRpCqwe3t7uUHfY93QeWQXIi2/4XCoJifmVSzyuojr9TqEEDBNE2dnZ2PrZ6lw6rr+pIoxLa83EQR2Oh30+/3UzDxZu5YX216vN1ZDsm07d3Yd8BAQVCoVWJY11Y2AFlvynPu+nyoPZ2dn2NraelIah4eHY8t3d3dTF9r9/X11rDiOMRqNUhfU0WjEsrWg5Li95KNWHpupCQAbGxup13k3UF3XVTqygpo17Y23Xq9PHN9My8P3fWxubqJcLiOKorFhJMDkHq6ie9q0Fc5SqZQbbNIbM5/5KNOTs6iQmUlVtE3ejCo52zebjpypl/3HWVBvS7J8AFAz8KTsbF05y1Kue6z8RVE0lmaybCVngnJ28OLJnqPsuscUzeI0TTOVbnZWZ7Ic5M0wp7ctb+a4LANFs3sdxym8DuWty16XiKSlCQKJlkHyBl/kpR7bQC8nWTnICwST5yv5SKpkxaIogMx7/JRpmrkVkUk3d3p7ZDnIVi6LlkvZCmdy+2zjBSucNAl/No7ohfm+j9vb28KJS4ZhsJtlxdRqNTSbzdxB/pLv++j1epzMQU/iui5ubm4mDgOI4xi6rnMyBxViEEhE9A7Yto39/f3ccaBhGOLs7Izj+mgqrHDSczEIJCIiIlpBb2J2MBERERFNh0EgERER0QpiEEhERES0ghgEEhEREa0gBoFEREREK4hBIBEREdEKYhBIREREtIIYBBIRERGtoKUIAuM4hqZp0DQNvu+r5WEYquW2bT/rGMm0kv+K8lF0TNd11XrXdeG6LuI4hmEYuemHYfisfNPzJM97smwBUOcsuzzLMIzUa1kGbNuG67qP7k80C9/3VdmN43je2aE3oOheS2/YHH+3eGqWZY39UHsURWM/mD2rvB/llq+DIBAARBAEqfXJH+a2LCu1v+M4qX1M00ztL98PfzB+fuT5C4Igde4sy1LnRdf1VJlLypbHZJlJpvVSZZTeHc/zBIDc76i8Hkwiv/+PfcdN01RlSG5vmqbKQ1HZMU1TeJ4ndF3nNeQNiaJIlYPk/UWIT8td3rokx3GE53mpMizLVRRFqnzl7WdZlvpHb9/SBYGO46Rusq8ZBMovnFyePY78sgZBoP7OBgue5xUGgfI9ZYMGeneyAZyUvMEX3Ygty0qdT8dxCi+uyRs9Lb4oilIVhOR3O3kjnuQp1yVd11UZSlYWZIAn08m7ISfzwSDw7cheh5Ln9illKlmOsuVCpp2t9CY9Jcikt2MpuoOTWq0WDMOA67q562u1WqqLRHb32bYN27ZVN+1TnJ2dQdd1AEAURdje3k6tL5VK0HUdV1dXOD8/h67rKJVKqW3q9XruD8ZLh4eHiKKI3TlzIs+Xbdu4uLgA8NBFbJqm2mZ9fR2Xl5dj+w4Gg9S5PT09RalUgqZpY13EzWYT5+fnr/EW6BWUSiV0Oh0AQLlchmmauL6+Vq+jKJq4v+u6aLfbE4epuK6L4+NjVYbiOFbXmN3dXdze3gJ4uOYBGBs60mw24XneDO+OFpm8DgGA4zgYDocAHs5/u90eu7YkyTIiy0y9Xk+tazabAB7K8PHx8di90LZtWJaVuv7R27Z0QSAAdDodtNvtsYuibdtoNpsQQsDzPOi6jnK5DMdx0O12sbOzgyAIcm/oUhRFKojsdrsYDAYT82IYBm5ubtTfs7q/v595X3oewzDQ7XZRq9WevE8YhqnzLYP4nZ0dCCHGKipFgSQth1KphPX19Sdvv7e3ByEE4jguLFenp6epm/Tu7q66SV9eXqobOQDs7+/j7OxsLI1GowHTNHF0dPTkvNHy2NjYwObmJgBgbW0NQggcHByMjVeXzs7OsL+/n7vu6uoKW1tb6nW9Xsfp6enYdt1uV/3Pxom3bymDwFKpBM/zUKlUUssHg4Eq5PV6Hbquq0DRsix1wR2NRoVp67oO8dBNDiHEWMteHvklfY61tbVnp0GzGY1GCIIA/X7/yRe9u7u71Ov7+3sYhqHKWLPZHAv6JpU7WmxxHE9s0c+S141k63I2vSzZy6Fp2lhQt7a2NlYhHY1GEELg4uKCZeuNGg6H2NvbA/BpmWq1WnAcJ7dHazAYFN5LLi8vc+9nybLY6XRUmXrq/Y+W21IGgcBDkGdZ1sTulsdaxN1TogAAIABJREFU5pKzdCfd/JPdvklxHKPf72N7exvb29u5QUQYhhO7n09OTnK7kendkl1+8u9+v6/WXV1dYXd3N7V9tlVobW0tdSNeX18fO6fPaSmm+fF9/1ktbc1mM7fSkKdUKsGyrLEKLoBHu6DpbYnjGJubm7n3hr29PdUDlVRURuI4HruGSeyFWm1LGwQCD7WW5I23Wq2mgsLRaDSx9j5Ni1+v1xvrgq5Wq7AsC+VyGeVyGZZloVqtpvZrNpupbp0k27bR7XbR6/UmHpvejdFopMqBZVnqEQmnp6eqNi6Vy+VU2SuVSjAMQ+1zdnaGnZ0dtf7u7q7wIkyLK45jDIfDqVoB8+RVGrJqtRoODw/R6XTgOM5YBVeOT6bVYNt24b0DyO+BKioj19fXY2PaJfZCrbi5TEeZgWmaatZScpZlEASpGVO6rqe2S86gSz6yYdLU+6KPJTl1X6aXJR/7kk0nma/kP84YnZ/HzjkemXmZfIxMdp9s+eLs4OWUfWyQJK8FT1E0Yzw7OzP5qJfsjOAgCDhbc4UkrxeO44xdO4rKVPaJBY9tzydT0NIEgUSL6CmBPJ8TuHyyFYRkpS9bGZSSzw19rEIpxMPNPVkuitIVovjmTm9PttzJAC7ZEFJUFoIgyA348ioQk55BSatDE0KIl25dJFolhmEUDsx3XRcbGxupWaBEkmEY6PV6E7ubXdfFzc2NemQN0SS2bWNzc3NiV7J8XAwnFBGDQCKiOarVauh0Ornjkn3fx+3t7cQbOlHWpMpnHMep56LSamMQSERERLSClnp2MBERERHNhkEgERER0QpiEEhERES0ghgEEhEREa0gBoFEREREK4hBIBEREdEKYhBIREREtIIYBBIRERGtoLkGga7rQtM0aJqGOI7hui7CMFTLkv8Mwxjbr1ar5abr+77az7btR9PLmrTOtm2EYTj7myYiIiJaAHMLAuM4RrvdhhACQgjoug4AKJfLiKIIuq6rdUIIRFEETdMAAK1WC57nod/vI47jsbR7vZ7aHwCiKFLHkH/nBXpxHEPTtIm/p9jpdHB8fAzf91/iYyAiIiKai7kFgff39yrwAx4CtUlkQOe6rlrmOA5OTk5S28VxnPoNzqLf5Mz73UTbth/Nh9z36Ojo0e2IiIiIFtXcgsByuQwAqnWvVCo9+iPpjuPg8vJSvd7b20O3201tc35+jv39/anzI1sUZcBYq9WgaVqqezrp4OCArYFERES0tOY6JnA0GkHX9Ynj+/L2SXIc50WCsevr61SLoWwpbDabEELANM3UWMCNjQ0Mh8NnH5eIiIhoHuY+O3g0GkEIgX6/D9u2H90+O5Zvb29Pdc36vo/t7e2Z8nF7e5u7fDAYqL/v7u5S6/LGIxIREREtg7kFgWEYplrwoihKBVx52u02dnd3U8tKpRIMw0AYhhgOh6qbeVobGxtT75M31pCIiIhoGcy1JbDRaKi/r6+vJz6aRdM06LqeO27w6OgIzWYTm5ubM+dla2trqpa929tb7OzszHw8IiIionn6zDwP7nleasJFFEUIwxCVSgUAUutM01Tj9FzXRbvdBgAEQaBa//b29uD7vgouNU1Ts4plWrqup/aRZKteGIYol8tqjGK1WkW1WkW/30e/38fW1hZKpRJOT08nPkqGiIiIaJFpQkZJhDiOU88XLFKr1dBsNlGv199RzoiIiIheFoPAHIZhFLby2baN/f39mcceEhERES0CBoFEREREK2juj4ghIiIionePQSARERHRCmIQSERERLSCGAQSERERrSAGgUREREQriEEgERER0QpiEEhERES0ghgEEhEtIN/3Ydt2almtVkMYhnPKEb1lhmEgjmP1Oo5jGIYxxxzRu8CHRRMRLZharYZ+v69e//jHP8ZXv/pV9Tr5W+pEzxGGISqVinptWRY2NzfRbrfVMs/z+DOpb9TStAQahgFN01L/fN8v3CavBhPHcWp9HMdwXReu646lrWnaWC2cllu2FUWe51qtVrhPssxM2s73fbiuq14bhjFWPvPSYk2b8lxcXMBxHJimCSEEvvKVr0AIAV3X4XneWACYvIYRTaNcLkO2BQVBgE6ng1arhSAIAABCiLEAUN5reY98A8QSMU1TBEEghBDC8zwBQL0GIBzHUds6jiN0XVevgyBIbR9FkQAgLMtS6cm/k9ubpvnq74teX/b8J8+rruupspNUtDy7TbLs6LouAAjP8x5NS5ZDWhzy/CWvH1ny+pO97mRZljV2zZL7BEGQKjdJURSpcinLkeM4Y9e1ZJ6zZZwWkzxPeWQZKbrvOI6jylD2+pJkmqaIokgIIdT2yXtdtsxaliU8z0uVLV3Xx+6LMv9y3aTvCC2Hpbr7JINAIT69eVuWlfulSd7cTdPMvVgXBYFCjAcOtLxkGck7l57n5ZYfGaBNCtKiKMrd1zTN1EV6UlqTggF6t5IBvWVZz6ocZMtA3j5FZW9ayQCT16vFJe8pedcBy7IerRA+pdzJCoEQ6XtmsjxmK67TMk3z0YoSLYel6Q7OCsMQURRhe3sbg8EAu7u7Y9tUq1VcXl4ijmP0+31sb2+PbdPpdAqPUS6XYZomrq6uXjTv9G65rovDw8PC9evr6yiVSrnrhBDwPA+apqUGTUvn5+doNptPykdRWuVyGYPB4Elp0Ou6ubnBzs4OAGBnZwc3Nzdj2/i+j3a7/ejwgN3dXdWNVrRPvV7H7u7u2NCBaTUaDXie96w06PWVy2VEUTS23Pd9DAYD1S2bx3VdtNvtiV2wruvi+PgY5XIZADAajdTfR0dH6PV6AIBWqwUAM00y8n0fo9EIjuNMvS8tnqULAiuVCjRNQ6VSgeM4qoDn2dzcxGg0Uq/X1tZmOmbejYCWgwy2ioI8ALi6usL+/v7YcrlPvV6H53k4OTkZ2+by8hLr6+uP5uOxtAzD4KzPBbCzs4NGowEAGA6HuZWHra0tCCFQKpUKx3T2ej3s7e09aZ+9vT11c36Oo6Mj6LqO4+PjZ6dF71av10O1Wp04rnNvbw9CCMRxXFgBOT39/9m7d53Wmb5t4Jel5ygQL0K2j4EiMiko4hzAKgJVKiS7XkoaiqegsUX1FolERYWtTxwASYH0YouCY4gthBCnMV/BPXOPd0kImxBy/aSlRbwZ2/Fk/J+N7UtV8cjzvBBw7uzsFK6HJycnuL6+Xml/syzD3d0dsiz7cAWG1mvjgsAkSSDeurFVbWaezxh4v7+//+E0aD1ubm4W5pOnp6e5lQngLXirawnUC9VlNaX18vLy7rToc/V6PXieB8Mw0G63aysPctpoNEKn06m9CE4mk8K689YxTbNwJ/Cy4jhW5ZsQArPZDLPZjHcNb6DJZIJ2uw0hBDzPq23tk3lInt9ypbFcppimCcuyVF57fX0tXA93dnbe1QPR7XYRhiF6vR6EELi9va29aYQ2y8YFgXVkt2/Z5eUljo6O1I/h5uamssy8Lp00TRu7kWkzDIdDVbueTCY4PDwsXIC73e7cIQG6uoBg1UpGXVrLtCjS9wiCAMfHx7XBuu7k5ATPz8+Faauss8x6dTqdzrvXoZ8lz3NYlqWCqZOTk4XBWb/fr1QaX19fK8tdXV3h+PhY9Z6Vh03VdU3Pw2vh7/Ofde/AZxiNRjAMA2EYqlYfWZOSn6+urnB4eIhWq6VafXzfx9nZWW2a8tlJnuctbCWin0sfY9PtdnF2dlZ7/uM4xu7ubuO59n2/tmvw6Ojo3S14dWnpY3dofXzfx8nJCRzHwd7eHnzfX9iytre3V/g8b+hB0zrLrqfr9XpshfkFTNOsdNsuU7ksVxrrhjvpj3+xbbswRAEALMtaej/ZwvxLreNulFXIxzZgzq3x+jJ1d9zpd2bp6ei33ev/lrkTizaHfqecnleg3eUm77IU4t+79eblOfkoj/J2yuvNS4t3B/8c+lMElrlzt2m+/oiORes03WFOv1PdY6H0O9Hlo4DmacovTXfryke66FjukBBC8I0hRB8UhiGenp6W7lbWya4g/gx/Dn1gfpZlME0Tvu8jz3Pc3t7Ctm3VciPnl8VxjPv7e5Un5q0ThiH29vbYqrcF5O9d0n/3Mo/ob4PpdrswTVP1dtWtp5MPrJc9YHKdunyqt3rT9mIQSPQJ4jjG8/PzUjcr6WzbXunmEvr5ut0u+v3+3OAujmNcXV2xq40+jW3buLq6mhvcfaTiSr8Lg0Aioi8yr7UlTVNcX1/zQkyfTt7w1tRKvUqFlX4nBoFEREREW+hXPCKGiIiIiN6HQSARERHRFmIQSERERLSFGAQSERERbSEGgURERERbiEEgERER0RZiEEhERES0hRgEEhEREW2hjQgC8zyHYRgwDANxHKvpaZqq6b7vf2gbelr6v6b9aNpmGIZqfhiGCMMQeZ7Dtu3a9NM0/dB+08fo513PW/q5lu/jbGLbduM6YRgW0iX6KsvmV6JldbtdGIaBbre77l2hryI2iOd5AoDIskxNy7JMBEHwKelnWSYsy1KfXddVn5MkEQBEkiSF+Z7nFfZPXz8IgsI6rusW1pfHE0XRp+w/vZ88f0mSFM6dZVkqn1mWVThvOj0/Nq3jed6n5VH6Wq7rCgCiXDRmWaam6+VPmWVZteuX03JdV332PK9QjjSl5bpu47ajKBKu64ogCApp02aQ14ryNaY8vy6fSHr5FUVR4bO+jH7NCYKg8foj87y89tHvtFFnVl5M9cz9lUGgzPxyenk7+o9E/l0upKMoagwC5THV/Vjpe+jnS148yxfpKIpqC1/P89T5XLTOvAs4/QxBEBQCd/18ygC/XEbooihaeI7LlQ1ZESznr6a05lVI5AWeQeBmSZJEXVuiKKoEXHpjRBP92iPTKK/jeZ4K+PQK67xKqsyfDAJ/r406s7KglDVeIapBoF6Tz7JMBXKytg2gMcOXC3gZoOnBXpkMDsvBaZ26ILApeKTvpV+EyxfqJElqL6zlZeatE0URWwM3iPxdClE9l3rwr5NBWFOQJpcpC4KgEgTOS6spDdkzwSBws+mB/jItu3X5sVweCSEKgVy5PKqrpMprZ11gSr/HRowJLBuNRhgOh5XxdL7vo9/vQwiBKIpgWRYcx0EQBBiPx2i320iSBHd3d41pZ1mmxtaMx2NMp9O5+2LbNp6entTfq3p9fV15XfoY27YxHo/VuBfHcZBlmcpfLy8vME2zsE6apoXzvWid3d3dufmOfhbTNGFZFgDg4eEBR0dHat7+/j4eHh4q60ynU2RZhsPDw9pxoGmaotPpLLX9eWl1Op3ascSTyQR5nmMymXCs8QazbRs7OzsAgMvLS5imCcMwGq8v0+kUjuPMTTNNU7iuqz6Xy6N+v4+bm5vada+urgCAY01/qY0MAk3TRBRFODw8LEyfTqc4ODgAAPR6PViWpQpDz/PQ6/UAALPZrDFty7Ig3lpIIYSoXPzr7O/vr3ooivzR0/ebzWZIkkRdRAGo/GUYBo6Pj9FutwvrvLy8VNJZtM68fEc/S5qmOD09fdc6pmnCNE1kWYazs7PK/IeHh6XLinlp1QWhg8EAQgjc3t5CCLEwKKCfzTRNVRa1220IIWDbdiUQK1dGV1VXSXUcp5CnBoPBh7dDP89GBoHAW5Dned7cu4IX/Tj0u3TlD66ObBUoF7yy1t1qtdBqtQpBhJSm6dwa1MXFBSzLWirYpK/jOE6hptzr9VRFQH7W7e7uVtJYtM5nFNb0Pa6vr1e+6JmmWXuuZY/ButKiny8MQ4xGIwBvvUO2batypN/vVwK1usroqlhJ3U4bGwQCb93CesbtdDqFoHA2m82tEb+nxe/q6qrSBd3pdOB5HhzHgeM48Dyv0t3T7/cbLya+72M8Hqvmdlqv2WxWyQeGYSBJksqyjuM0Fpp167y8vBS6FOnnCsMQJycn6nOr1SpcfO/u7tBqteamUVeerNpj8Jlp0c8lry3yfO/s7BTKmN3d3UpeqKuM1nEcB5PJRH0uD3EAWEndWt8/DHE15Rs+JP3OKiGKj1XQbwzBPzeEyL/LA7H15Zq+Fv0xEWi4wUS/m0pPR98v/R9vCFmfpnOun+d59LvtFq3Du4M3gz5gXr/pbJm7g/U06h67kSRJ7V3mdTeGzEur6cYU2lx1jw0S4q3ckOdfL290dfmx7saQpruDheCNa9tsY4JAop9omUCezwncDOUKnH5u9QqDnKY/NUDeQVlXwdSVL751FdNFafGRUr+Lfr7lPz3YW5SvysGhnlfr7hAupy8EK6nbzBDinwFMRLQS27Ybu4bDMMTe3l5lfCBtpzRN0e/3Vx5/Zds2rq6ueOMHFRiGgSzLVhpb7vs+9vf3eePHlmIQSET0jfI8h+/7uL29fdd63W4Xo9GIN5FRrXmV0SaspBKDQCIiIqIttNF3BxMRERHRahgEEhEREW0hBoFEREREW4hBIBEREdEWYhBIREREtIUYBBIRERFtIQaBRERERFtorUFgGIYwDAOGYSDPc4RhWJhv23Zhvu/7yPNcTfN9v5CGXD+O48Iy8m/937yXZadpqra5SFM6fBk3ERER/WRrCwLzPMdwOIR4e38xLMsqzDcMA6enp2p+p9PBdDqFaZpIkgSWZWE0GmEwGMDzPLiuq1570+v1EAQBsiwDAGRZprYh/54XpD08PMDzPNzc3Mw9BsMwMJ1Oa+fNZrOlA0kiIiKi77a2IPD19bUQ+MmADXhrIdSDOuAtqOp0OgAAx3EKy5+cnFRel7O3twfTNBtfszTvlU1PT084OTnB3d1d4zK+7yNJkrmvcMqyDL7vN84nIiIiWpe1BYHyBeiGYQAATNNUQd/l5SWOjo4q64xGI/W353lI07SQlt7q9vz8vNJ+5XmO/f19OI6D2WzW2JI3nU4LL3HvdrswDANxHKv9kgEiWwOJiIjop1nrmMDZbAbLsmAYBrrdbmHe3t7e3HXb7Taur68BvAVZWZap7ts0TfHnz5+V9unx8VGte3p6WtslnKZpoTs5z3OYpgkhBI6PjwvLmqaJx8fHlfaFiIiI6Kus/e7g2WwGIQQmk8m7uk4PDg7UeLybmxskSaK6bx8eHuZ2085zdXWlAtPhcFjbJfzy8lL4bJomxuMxut0uhBCFFkJg9VZJIiIioq+ytiAwTVPEcaw+Z1mmgrpOp4Orq6vKOvLuYKDY1fr09ATHcTCZTJbuetXvINZbIY+OjtTNKEKI2i7h3d3dSnpCCJydncEwDNUdLC1q1SQiIiL6bmttCdS7Th8fH1UX62g0wmQyKTwyJo5j7O/vF1r4Tk9PcXFxgXa7DeBtnODFxQVardbCbfd6PRXoyZtE4jiurFvXJSzHC0p5nqPb7cJxHERRhIeHh8K8g4ODhftDRERE9K3EmiRJIqIoEgDUvyzLCsvo8zzPq01DX0+mV0dPK0mSynzP8wQAYVmWmpZlmVrHdd3K8lEUqeVc160ch5xORERE9NMYQgjx/aHn72AYBrIsaxx/uGg+ERER0br8Z907sMnEPw+dLj+jEHh7YwjjayIiIvqp2BJIREREtIXW/ogYIiIiIvp+DAKJiIiIthCDQCIiIqItxCCQiIiIaAsxCCQiIiLaQgwCiYiIiLYQg0AiIiKiLcQgkIjoB/N9H3EcF6bZto08z9e0R7RtDMNY9y7QF2EQSET0QxmGgfF4jOPjY9i2jTRN1esoLcuC7/vr3kX6xeI4VgGgYRgIw3DNe0SfbWOCQNu2YRhG4V9d7VjOs227kkae54X5eZ4jDEOEYVhJ2zAMFrBbJE1TdLvdynSZN+blBZnX9PwlC8swDCv5lGhZQgi4rosgCDCbzeA4jnodZZIkGI1GheV9328s/4jeq9frIcsyAECWZRgMBoX53W4XhmHUlp20IcQGcV1XJEkihBAiiiIBQH0GIIIgUMsGQSAsy1KfkyQpLJ9lmQAgPM9T6cm/9eVd1/3y46L1c123cq5d1y3koToARJZlQgghLMsq/C3zmud5hbxJP5PrugKAKBeLTdPLgiAQURSpskUvX8pkXsmybG4ZI8sl13VV3vI8T0RRVJs3ZRmn50tav0V5IgiCufnF8zy1vixX6sg8IdMrLy/zBgARRZFaVv5dx3VdEUVRJZ/KY5Jp0mbaqDOnB4FCvGX4IAhUIVkm58t16y7ETUGgENXAkX6nKIpEEASFPFT+XMfzvEKlQl++nJ/0izj9PPpFTpYp86aX6YG+ng/0i62+LT1IS5JkYWVjWfrFn/nt55CBlBDFCqKcN+/8Z1k2N0iT5DlPkkTlRZnXJJl/y3lu1YqqHpzSZtqY7uCyNE2RZRlarRam0ymOjo4qy3Q6Hdzd3SHPc0wmE7Rarcoy5e4UneM4cF0XDw8Pn7rv9LPc399X8sbl5SVM05zbtTadTuE4DgDg9fUVs9lMzdvd3S0M3O/3+7i5ufmCvafP8Pz8rMqQVqulzl3TdF2apgCguspub2/VvCAIcH9/X1j+/v4elmWpz47j4Pz8/MPjrfI8x3A4RBRFH0qHPt9sNsPBwQGAt+vSy8sLAKhzrpcdZRcXFzg+Pp6bP3zfR5IkME0TjuOovNjr9WBZlsqjf//+BfCW5/RybTQaqWvlstI0xXg8Zn7bcBsXBB4eHsIwDBweHiIIAnURrrO/v1/4ce3s7Ky0zaenp5XWo5/P9/1KRUAWhO12G0II2LZdKYDTNC0Uoo7jIMsyVdi+vLzANE01f3d3F3d3d191GPRBrVYLw+EQeZ7j4eEBZ2dnc6frrq+vcXJyUpvu3t4e9vf31ee6/Aa8XawvLy8/5Viurq4AvAUP9DN0Oh01rjjPc/R6PQDLVTb//v0LIQQuLy8bxybrFdIy27bVtU+WSb7vFyorwOoVVZnfeNPIZtq4IDBJEoi3buzKINU6nzFAWi/E6ffI8xztdrsy/fX1FbZtq4K63+9XAjhZk9dFUaQqKcfHx5W059X2ab0cx0EQBKqFTl5Qm6brptNpYwXz/v4ef/78AfBWcajLb7pVHvsShiG63S5M04QQAre3txBCzO3loO81Go0wm81gGIY6L8tUNoF/A7fZbIbpdFrJI+UKaR29QmrbNsbjceVmjmUrqr7vw/d9dZOSzG/LXI/p59m4ILCO7PYtu7y8xNHREUzThGVZtbWceXc1pWna2I1Mm+/m5gbHx8eqZXkymahac7lrVy9E5bSyXq+nKijys453bP5sT09PiKIIw+FQtejOmy7JuyfL8jzH/v6+yjsPDw+VPFH2+vq60r7XDYehnyPPc5yensJ1XXQ6HQDLVTbLTk9PK3mkrkIqhWFYqQzMZjMkSYLJZFIJKJetqC6qzNAGWdNYxJWUbwzRoXR3sOd5c+8OlsvodxvX3R3cNBCcfpckSQoD+vWB3PJuzLKmwdzlfCbEvzef0M+k3yGpD5pvmq7T7wrX6flJvztU/1e+0Y03c/xOdTdhZFlWuUYtut7I9XTlskufPq/MKd+s1pQO/W4b0xJo2zYmkwkODw9rn7sm/hkzIZ/Tlud5oVbjOA6SJFHddYZhoN1uw3EchGGI4+NjjMdjNU+OOWSXyna6vb1VrYRAtVUPeGuBlnlRf0agEKLSbXh1daW6BenneXp6qtzAMW+6rtPpVFpnut2uKjtkF5/4p5VYCAHLspBlWSWflFuc6XfQxwtLpmnCtm1VhlxfX89tYcvzHE9PT5U84jhOpQUvz3Ocn5+rLtq6sYSz2ayQ1svLC1uUt9FaQ1CiDYclHsXB5wRuBsuyGlvo6qZL5RYUlFr7mh5fpecbthT/bvrz+cqtyXK63gooH2+mtyDPe4yM3lshHwuj/4uiqLAPdZd+PsZqOxlC/DOAiYhWYtt241iaMAyxt7e3cCwYbTbf97G/v7/S4Pg0TdHv93njEH2IfJ3gKq3JH8m/tNkYBBIRfYJVAv48z2sf10G0inkV0iasqG43BoFEREREW2hjbgwhIiIios/DIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCIiIqItxCCQiIiIaAsxCCQiIiLaQgwCiYiIiLbQRgSBeZ7DMAwYhqFetg28vW5JTq97QfZ76Gnp/5r2o2mbYRiq+WEYIgxD5HkO27Zr0y+/VJy+R7fbrf3um6YDxfPf7XYb047jGGEYAnh7HVM5L9m2/cG9p22nlzNE34X57vfZiCDQNE0IIeB5Ho6Pj5HnOQDAcRxkWYYgCDAajT60DZmWZVkQQkAIAdd11QU7TVNYloUkSdR8+conyfd9XF5eqvkAMBwO8fr6itlsBtd1C+t7nofDw8NCYEtfL01TTCaTpadLNzc36tw1veYrDEPc399jMBio8yqEQBRFKnCcTqcsRDeMrCTK8kC/GC6qhPq+ryoWsiIhyzApjuNC5TFN07lpXl5eIkkStW+0efSGAUnPV+U8smjdsjzPC5VV3/creaqcH5nvts9GBIG6IAjQ6XS+ZVtnZ2fIsgx5nqPf7yMIAjiOo+aPRiOMx2OkaYo8zzEejzGdTtX8wWCAKIoa0x+NRvA8D2dnZ196HFR0fX0N13WXng68FZbD4XBhoXt3d6cqJPf39zg5OQEA9Ho9zGYz5HkO0zSRJMmHW6/pe4RhiMPDQ2RZpt7Lure3pyoEWZY1rtvtdtFut+E4DvI8h2VZtcs9Pz+r9AaDARzHQbvdbmxxPj8/x+Hh4ccPjtYijmNMp9NCg4EMxIQQCIIAFxcXS69blqYpOp2Oqqz6vo/xeFxYpi4/Mt9tn40LAgeDAWzbVt1tZd1ut1CTkjV4WQuSNe1lXF9fqx9JlmVotVqF+aZpwrIsPDw84ObmBpZlwTTNwjK9Xq8QOJb9/ftXBZr09cIwxN+/f5eerpMtek219JubG/T7ffU5z3O8vLyoz7Zt4/X1FcBbYatXGOhnStMUw+EQQojCb7vX66m/Hx8fVbCvi+MYR0dHalnZo1G33HA4rFx4e70ejo6OansKjo+P51Yw6Wc7OzuDZVmV1rTBYADFv0j3AAAgAElEQVQAaLVa2N/ff9e6un6/ryoswFuDQxAEhWWa8iPz3XbZuCAQeMvQw+Gw8iPwfR/9fl9drC3LguM4CIIA4/EY7XYbSZLg7u6uMe0sy1QQWW7Zq2PbNp6entTfq5LBAX0dGbiVA/Wm6To5r9frIYqi2lr63d0ddnd31eejoyNcXV2pz7PZDDs7O+qzbdvsUvnhrq+v4Xne3C66+/v72ore1dUV/vz5s3AbBwcHKsgslyF//vwp5CGdDAbOz8+XPBr6KabTKbIsKwwH0suf6+trFRAus65OtgJ+BPPd9tjIINA0TURRVGmWnk6nODg4APB2sdZrS57nqRq5XkMq08cElmv/TZpqbO+hBwf0NW5ubmoL1qbpTXq9Xm0wUM5Xg8EAs9msMHannJ/0lkL6eabTKfb391UXXV0XflMr/mQyWar8kMuMRiN0Op3Chd00zdpxqkIIzGYzzGazxvGp9HOZpgnTNJFlWWE4kByjNx6PG3usmtaVHh4ePnxNYr7bHhsZBAJvF2LP8+aOq1rUMqcP7J7XHat3++ryPMdkMkGr1UKr1cJkMqmkk6bp3O7ni4uL2m5k+nxyTJ9hGJhMJqom3TR9nrrzVZffZrOZCiBOT08r8/WWQ/p5sixTFYQ/f/5ULoxpmhaGAEirDu84OTnB8/Pzp6VHP1u59Vd20QZBgMvLy3etK8meqc/AfPf7bWwQCLzVnPXWl06nUwgKZ7PZ3PF472nxu7q6qnRBdzodeJ4Hx3HgOA48z6s0w/f7/cZWJjlYt6nZnT6Xfr7lndq9Xq9xehPf92vHDx4dHdW27IVhiLu7u0o+WJQ/af0syyoMFygPpH94eFC9D7qPVOr29vY+NT362erO7bI9E3XrfkbP1Lz06XfZmCCw2+1iPB5XWu30AEoGhbJVZzqdqoHdsnld3uVXbkGUj4CRYwLL5CNkDg8PVfqnp6eFR9PI7hy9hVEGqbZtq1YmfcxhlmUMBH4o+dgOoPi8v3a7XVs4/vnzp9A9I9cBUOk6+YxxO/T1Tk9P1fjPOI4r5+zu7q7xQum67rtbUs7PzwsVkDzPG+9Yp80XxzHa7XZl+jLlQ9O6rVbrw62BzHdbRBDRpwmCQHieN3eZLMsEf3qbw3VdAUBYllWYnmWZCIKgcb0oiip5AYD6l2WZEEIIy7Iq06QgCEQURZ90JPQTRFGkzreeP4IgUNNd11XTZXmRJEnjumWWZRXykp62vl5dfpTLM99tB0OIhgcNEdFK4jjG8/NzY5eObdtzb06i36Pb7aLf788dXtAkjmNcXV1xAD69mxyruko5w3y3XRgEEhF9Id/3cXJy8q5hH2ma4vr6+sNvQqLtJd9o9Z5gjvlu+zAIJCIiItpCG3NjCBERERF9HgaBRERERFuIQSARERHRFmIQSERERLSFGAQSERERbSEGgURERERbiEEgERER0RZiEEhERES0hdYaBIZhCMMwYBgG8jxHGIaF+bZtF+b7vo88z9U03/cLacj14zguLCP/1v/Ztl3YVtNyi5TTWTSdiIiI6CdYWxCY5zmGwyGEEBBCwLKswnzDMHB6eqrmdzodTKdTmKaJJElgWRZGoxEGgwE8z4Pruupdrb1eD0EQIMsyAECWZWob8u9ykDYajRAEAYIgUNsMgmBuMGcYBqbTae282WymglciIiKin2ZtQeDr62sh8JMBG/DWQqgHdcBbUNXpdAAAjuMUlj85Oam8KHtvbw+maWI0GsE0zcr2l3mf4mAwQJZltYGc7/tIkqQ2bf2YfN9fuB0iIiKi77a2IFC+TF12uZqmqYK+y8tLHB0dVdbRX2rteR7SNC2kpQdrz8/PH97HMAxhWVZtoDedTgsvhO92uzAMA3Ecq/2S67E1kIiIiH6atY4JnM1msCwLhmGg2+0W5u3t7c1dt91u4/r6GsBbkJVlGW5ubgAAaZriz58/K+3TcDhU4wEvLy8rLYwyfb2bOM9zmKYJIQSOj48Ly5qmicfHx5X2hYiIiOirrP3u4NlsBiEEJpPJu7pODw4O1Hi8m5sbJEmCu7s7AMDDw8Pcbtp59DGB5+fnteP6Xl5eCp9N08R4PEa324UQotBCCHxOqyQRERHRZ1pbEJimKeI4Vp+zLFNBXafTwdXVVWUdeXcwUOxqfXp6guM4mEwmS3e96ncQl1shpV6vB8uyVAujtLu7W1lWCIGzszMYhqG6g6VFrZpERERE322tLYF61+nj46PqYh2NRphMJoVHxsRxjP39/UIL3+npKS4uLtButwG8jRO8uLhAq9VauO1er6da/JpuEonjGFmWVYI4x3EK3cR5nqPb7cJxHERRhIeHh8K8g4ODhftDRERE9K3EmiRJIqIoEgDUvyzLCsvo8zzPq01DX0+mV0dPK0mSynzP8wrLyH9BENSm53meiKJICCFElmXCdd3KccjpRERERD+NIYQQ3x14/haGYSDLssbxh4vmExEREa3Lf9a9A5tM/PPQ6bo7iG3bBuNrIiIi+qnYEkhERES0hdb+iBgiIiIi+n4MAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCIiIqItxCCQiGiD5Hmu3rMuxXEM3/fXtEf0G9i2jTzP1ee6fEa/D4NAIqINEYYhLMtClmUwDANxHKPb7eL4+Bjj8RiGYRQu5ESLpGmqXnFqWRZ836/NZ/Q7bUwQaNs2DMMo/CtnTH2ZuhpMnueF+XmeIwxDhGFYSdswDNasf5lut4s0TdVneZ673W7jOnqembdcHMcIw1B9tm27kj/r0mJNm95jMBggSRIAb6+t7PV6uL29RRAEcF0XQojCu8r1PMcLOdVxHEe94jRJEoxGo9p8ppPXWl4jN9/GBIGz2Qyu6yJJEgghEEURjo+P1UXdMAycnp5CCAEhBE5PTwsX2DRNYVmWWn86ncKyLDw9PWEwGCCKIniep9ZPkgTj8XjuhZ82R5qmmEwm6nO321XnejabFQI43c3NjVru9va2dpkwDHF/f4/BYADgrYDMsmyptKbTKQzD+Ojh0TvJ1o9ycBTHsZquVxjKut2uWm5ey5teBoVhWClPypXbNE3h+/7cbff7fURRpC7AeZ7j8vISR0dHlUDv5uYGnufB8zzc3983pknfp65S6ft+IR80lUfAW97L87yQV8vnXeZPmU65klrm+z6iKEK/31fTyvlMknkziiJMp9PlD5x+JrFBXNcVSZKoz5ZliSAIhOd5wnXdyvJyvlxX/q3zPE8IIUQURepvKUkSAaCwTdpMMo/UncsoimrzT5ZlAoCY9zPJsqx2Xdd1RRRFS6WVJEkl79HX0s8DAJFlmRCiWB7UnVch3s7XojJBnm8pCAIBoJBmkiRqu3IZmW45/3yEzHfMY+vneV7hmiTPsX6ukySpvVYJ8XZNk/lGnk95nZJ5KQiCwjZknpLXys/guq4AICzL+pT0aH02piWwLE1TZFmGVquF6XSKo6OjyjKdTgd3d3fI8xyTyQStVquyzGg0atyG4zhwXRcPDw+fuu/0vcIwxN+/fxvn7+7uFrrQdOKfVuemFp+bm5tC7XmeprQcx2GN+hulaQrP89TnIAhwc3ODPM9VeXBwcNCYJ87Pz3F4eDi3e9X3/UJrsOxt0DmOU9jG09MTHMcBANze3uLs7Oz9B1ezH57nwXXdD6dFH5fnuboOHR0d4fn5GQAK3a0PDw/48+dPZd0wDHF+fq7yjcyr8jr1+PgIALi8vFTrn52d4fr6GgBUT8W8VuZlxHGM2WyGIAg+lA79DBsXBB4eHsIwDBweHiIIAlVo1tnf38dsNlOfd3Z2Vtrm09PTSuvR+slgq+mCDrwVuicnJ5Xpcp1er4coinBxcVFZ5u7uDru7uwv3Y1Fatm1/uHCm5by8vBSC8L29PTw9PRXyyMXFRWMFcTQaQQiB4+Pj2i62ZfLcMk5PTz9lHN94PFb/86aR9To6OlKVxru7OxWY6cp5Ubq8vKyMzZNM08Tu7m4l7+3s7BQqmCcnJyoo/Igsy3B3d4csyzjWdMNtXBAox/QJIWp/QGWfMfB+f3//w2nQetzc3CzMJ3oLTJNer1d7AdUrGctqSuvl5eXdadH7HRwcYDKZqHPw/Pxc+I0bhoHxeNw46F1eYIUQGA6HlfmPj4/vDgDjOEa73S5M29vbW3kcnxxfKAPW29vbyk0j9P0Gg4EaB1rX0tsUpC8K3vM8X1iGAdWg8D263S7CMESv1yvkqabAlDbDxgWBdWS3b5kcLG2aJizLws3NTWWZeTd+yJsJ6rqRaTMMh0M1eHoymVS68brd7twhAbq6C+iqlYy6tJZpUaSPM00TQRDAsiwYhoHhcFj4jctue9mCNo/neZULtOzie4/7+/vai+lHWu6WCQro+5mmCc/zcHh4WJn3+PhY2yvx+vramF4cx+8aOlB309qyeC38fX5FEDgajTCZTApdM7IWL1uBrq6uMBwOC11uvu83/njSNMXh4SE8z2NhusFkq7EQQt1dLi+2+vmP43hud6zv+7XjCo+Ojt7dgleX1mw2Yz77RoPBAEII9Wy08nff6/VgWdZSaZUD+r29vU/bz1Vb7sQ/j/ygn6Xb7eLv378YjUYIgqDS2nx/f19bDjQNZcrzvLCOzC+y8vD4+IhOp1NYZ9l8XXZ7e8sy6hfamCDQtu3alhxJCIHLy8vCYxv0rjrHcZAkiRpTaBgG2u02HMdBGIaFh63qYw6XbSWizWLbNsbjscoPZ2dncBxHPXYBKD62od1u116Q//z5U6lIdLtdTCYTHB8fq7w6L600TSsFNX29PM9hWVZt99gyb0tI07R2qMjBwcG7WvCa0nl+fq50EdNmm81m6gaOOk35pqky0Ol01DVKBpSnp6eq1+vq6qrQsvj6+sqyhoq+/X5kol/mI49eKD9KhL6efKRG+fEWURSpx6mU5wEQURSpdVF63EtZ+XFEetrl9YIgKDwqRuLjN34f/VFR5d99kiRzHwukP/pFz4fyn/5YGcuyKtOEeHtEDR95RjpDCPYbEH1UHMd4fn5e6mYlnW3bK91cQj+bbGVctXjtdrvo9/scdE8Ftm3j6upqpW7ZMAzx9PTE3i0qYBBIRPRFVgnyfd/HyckJx19RLXkz23vGi65aSaXfj0EgERER0RbamBtDiIiIiOjzMAgkIiIi2kIMAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIttBGBIF5nqv3rurvDU7TVE0vv4j7vfS09H9N+9G0zTAM1fwwDBGGoXoPaV36aZp+aL9pdWmaotvtFqbp7/idd27098rGcVz7ntlyWmEY1r73muij9HKH6LN0u10YhlEpJ+kXWeMr697N8zwBoPCezSzLKu9HXFWWZYX3dbquqz7LdzXq7110XbfwzljP8wrrB0FQWKf8PlF5PPPeF0lfx3Xdwntcsyxb6lzoeVC+E7b8ntemtDzP+7T8Sl+n/H5h+VuW/5reFa2/I3jeedbf4SrfJ1t+f3AQBIX8Oe+9r5Zl1ZZRtDnk9UA/h/q7hheVG3oZFEVRpUzS3zcsy6YgCBrLPLltuR79Tht1ZuUFVM/cXxkEyswvp5e3o/9Imgpy+dJ5IapBoDwmvij++0VRVHuRfc/FW0qSpHIO56Xlum4ln9DPIQM+/RzpF8osyxqDwGXKItd1VXr6RV7fntwHPX+W19XpwSeDwM3TVGm0LEvlCxno11mmYirzbLm8mlcx1QNT+p026szKTOy6rsq05SDQdd1CoSoDOc/zFl7ky0GgDND0YK9MBofl4LROXRDYFDzS15LBXLklUIi3c9p0ka87x3VB4Ly0ZABKP88yrR56xa48vS5wKy9Td+6bKpB1adXlQdm6wyBwM9Vdm7IsK5z/KIpqy6VlK6Z6/qqrXJTzn/wtyHxFv9NGjAksG41GGA6HlTFbvu+j3+9DCIEoimBZFhzHQRAEGI/HaLfbSJIEd3d3jWlnWabG1ozHY0yn07n7Yts2np6e1N+ren19XXldeh/f9zEajSrT5QvZZ7MZptMp8jwvzE/TdOlzPC+t3d3duXmQ1uf6+hqe56kyoJwHAOD+/h6O41SmHxwcQAgB0zQb88nV1RX+/PnzoX08PT2tHVt6dnYGy7Jwfn7+ofTp+/39+xdCCFxeXqqx5q+vr5jNZmqZ3d3d2vw4nU5r82OZLJN838ft7W1hXr/fx83NTe16V1dXAN7GndLvs5FBoGmaiKIIh4eHhenT6RQHBwcAgF6vB8uyVKDoeR56vR4AFH5YZZZlQby1kKoCfZH9/f1VD0XZ2dn5cBq0WJ7naLfbC5c7PT2tBOYvLy8rbbMurXl5kNZnOp1if38fQggEQVB781fdhRj49yI7Go3Q6XRqA7XJZLJUmTLP3t4e7u/vC9OEEJjNZpjNZpULPP18dZVGx3GQZZm6hr28vFTyznsqpsBbQ8V4PK7c6FFXMXUcB0II3N7eQgiBwWCwyqHRD7eRQSDwFuR5njf3ruBFPw79Lt2mgh14+4FaloWHh4fC9DzPMZlM0Gq10Gq1MJlMaluP5tWgLi4uYFnWhy8MtJybmxscHx/DMAwcHh5iMpk05pNyYL67u7vydstpfaTVmL5OlmXqYvfnzx9MJpPC/DRN0e/3F6ZzcnKC5+fnwrR5Zcx7fWZa9LPolUbZ2GEYBo6PjysV2PdWTGezGZIkqb1WsWK6nTY2CATeatx6xu10OoWgcDabzW0mf0+L39XVVaULutPpwPM8OI4Dx3HgeR46nU5hvX6/31iD8n0f4/FYNbfT1xsMBuqcJ0kC13UrhV+e53h6eqrkCcdx3l1Q1qX18vKCo6Oj1Q+CvoxlWeriKCt/uoeHB9XbsMje3l7h82dW9Fhp/N1kpbHX66nySn7WrVIxdRwHrutWprNiuqW+fRTiiso3fEhJkhQG01qWVXtjCP4ZdCv/Lg+w1Zdr+lr0O/nQcIOJfjeVno6+X/o/3hCyPvqNIfq5nXeDj+d5hbv49Hwj11uUFu8O/rmCIFBlQ91A/Hk3fSyzXNO5rysLmm4MmfdYD9psTXeeY84NP8verDZvHd6str02Jggk+ik+ErzzOYE/n6xw1t1dWT53nuepQK1cAa1TF1jWVQr1R76UA0E+Uup3aao06tPnWaZiuqiRgxXT7WUI8U87MxEtzbbtd3cNh2GIvb29SpcObZdut4t+v79SPvjIuvR7GYaBLMtWGibg+z729/d548eWYhBIRPTNfN/HycnJUo/2+Mg6tD1YMaVVMAgkIiIi2kIbfXcwEREREa2GQSARERHRFmIQSERERLSFGAQSERERbSEGgURERERbiEEgERER0RZiEEhERES0hRgEEhEREW2htQaBYRjCMAwYhoE8zxGGYWG+bduF+b7vI89zNc33/UIacv04jgvLyL/1f7Zt1+5TmqZqmW63izRNEcdx4zE0pdM0nYiIiOgnWFsQmOc5hsMhhBAQQsCyrMJ8wzBwenqq5nc6HUynU5imiSRJYFkWRqMRBoMBPM+D67rq3Ye9Xg9BECDLMgBAlmVqG/LvuiAtjmMcHh6qZc7OznB4eIjn5+faYzAMA9PptHbebDZTwSsRERHRT7O2IPD19bUQ+MmADXhrIdSDOuAtqOp0OgAAx3EKy5+cnFTembi3twfTNDEajWpfqn17e1uZdnZ2hiiK1PLl7eh830eSJHNf2J1lGXzfb5xPREREtC5rCwLlS9ANwwAAmKapgr7Ly0scHR1V1hmNRupvz/OQpmkhLb3Vran1rkmapsiyDAcHB4Xp+n7pptNp4UXu3W4XhmEgjmO1XzJAZGsgERER/TRrHRM4m81gWZYaf6fb29ubu2673cb19TWAtyAryzLc3NwAeAvo/vz5s9I+zWvZk9I0LXQn53kO0zQhhMDx8XElvcfHx5X2hYiIiOirrP3u4NlsBiEEJpPJu7pODw4O1Hi8m5sbJEmCu7s7AMDDw8NSwdyqXl5eCp9N08R4PEa324UQotBCCLy/VZKIiIjoq60tCCzfdZtlmQrqOp0Orq6uKuvIu4OBYlfr09MTHMfBZDJZuutVv4O42+2qwK3uTuByK+Xu7m5lGXkjiWEYqjtYWtSqSURERPTd1toSqHedPj4+qi7W0WiEyWRSeGRMHMfY398vtPCdnp7i4uIC7XYbwNs4wYuLC7RarYXb7vV66s5jeZNIFEU4Pj4uBJLdbrcwFhF4G4Oo34iS57kKJKMowsPDQ2FeeZwhERER0br9Z50bj6JI3RgCFO8QFkLAMAwMh0MAbwFeORhrtVoYDof4+/cvgLdxgsfHx5XlgH9vQLEsC0mSVLpsgbfAUC4jNd0B3Ol0EMexWkffhjyOcqslERER0U9hCCHEundiUxmGgSzLGoO8RfOJiIiI1mWtLYGbTj50uvyMQuDtjSGMr4mIiOinYksgERER0RZa+yNiiIiIiOj7MQgkIiIi2kIMAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCKiDZXnuXrnuhTHMXzfX9Me0aZjntoufFg0EdEGCsNQvVsdeHsX+9XVFSaTiZrG11bSezBPbZ+NaQm0bRuGYRT+xXHcuEy5JgO81XD0+XmeIwxDhGFYSdswDNZ8fgn9vHe73cI827Yr+WjZdXVxHCMMw6XSlenV1biJljUYDJAkCYC3V1j2ej3c3t4iCAK4rgshROFirefleXmethfz1PbZmCBwNpvBdV0kSQIhBKIowvHxMdI0BfB2YT09PYUQAkIInJ6eFi6waZrCsiy1/nQ6hWVZeHp6wmAwQBRF8DxPrZ8kCcbj8dwLP22Gm5sbdV5vb2/VdNu2kWXZSuvqwjDE/f09BoPB3HTTNIVhGIiiSBWm0+kUhmF84OjoPcIwrPym4zhWFzJZnkhN03XdbrcQ2DfRy6O6dWT+0C+ovu/P3Xa/30cURarCmuc5Li8vcXR0VLko39zcwPM8eJ6H+/v7xjTpa9Tlo7r8KPm+D8MwCpXLskXdtuXGkzRNmaeoSGwQ13VFkiTqs2VZIggC4XmecF23srycL9eVf+s8zxNCCBFFkfpbSpJEAChskzZLlmUCgGjK6q7riiiKVlpXLlOX9+rSbcpLSZJU8h59viAIBIDK+dLLAH2eXt405YEkSRaWDzIfLVpHXwaAyLJM7UdTHn0vmZ+Z376X/N71896UH4V4u3bVTZfKeUpfT57bJElUHpLbk9tnniJpY1oCy9I0RZZlaLVamE6nODo6qizT6XRwd3eHPM8xmUzQarUqy4xGo8ZtOI4D13Xx8PDwqftO30v803K8qKVmlXVvbm7Q7/cXphPHMTzPw+HhYaXrxHEcTKfTd+0XvZ9s8dflea7KgIODA9XVlec5ZrMZHMcBAARBUNvddX5+jsPDw7ldYb7vF1qG69ZJ0xSe56nPQRDg5uYGAHB7e4uzs7P3Hm7tfnieB9d1P5wWvY8QApZlFabV5Ufg7Tx1Op3Gnge5TLm3IQxDnJ6eqs+O4xS6bp+enlR+Zp4iaeOCQHkRPTw8RBAEKlPX2d/fx2w2U593dnZW2ubT09NK69H6yUKw1+shiiJcXFx86rp3d3fY3d1dmNb9/T3yPFdDDY6Pjwvzbdue20VDX0O/SF5cXKiA8PHxEZ1OR83b29ur7e4ajUYQQuD4+Li2205WHPTt1K3z8vJSqGTs7e0Vyp3T09NPGXM1Ho/V/++tENH3kOeoaRxyXZ6S0/b29pbeDvMUARsYBMoxfUIINQZrns8YeL+/v//hNGj9er3eyoVU07p6JWOePM9VzdtxHFiWVQn6Xl5eVto3+jjDMDAej999M5i8EAshCndVSo+Pj5U7KevWOTg4wGQyUXns+fm5UO40BaHLkGPBZPB5e3tbGeBPP0OapnBdF+12G0IIzGazSqBWl6cuLi7mXg/jOEa73S5MY54iYAODwDqy27dMDmY1TROWZanuFd28Gz/SNG3sRqbN9JFCqm7dZSsZpmkWgjzbtist08u0KNLXkN3+slVjFZ7nVSoKz8/PS61jmiaCIIBlWTAMA8PhsFLufKSVZV6PCf0cLy8vME0TvV4PwFtrXTlQK+epNE1xcnIyN937+3uVpo55in5FEDgajTCZTArdMbJGL2tHV1dXGA6HhdYX3/cbx0WkaYrDw0N4nsfM/kv4vo+/f/9+6rpHR0dLteCdnJyovCbHm+lBpT7+jNaj1+upcVsHBweFcZr39/eVlpQ65YrCMt1zcp3BYAAhBLIsg2VZlfywagVG8FGwG2N3d7cyLKDcE1XOU9fX12qY1PHx8bueasE8RRtzd7BlWeoupKa7mvRl6u6sknf7ltORd2mV/9XdTUybxfO8xnzjum5lXhRF6q67eetKWZYJy7IWpitEMZ/pd+3x7uDvU74DWFe+03uZu4OlJElqy4umu8eb1pF3fer5Q4i3vPNZd3PSeliWVbkrvC4/6suVn4ghxPw81fSUi7q8yTxFQryNrSOiD5CPKVpF06Me6PPJAF+vJOrTysG8/ogg/UIsg3u9UjnvcR76hbxpHTm9vA9S03TaDHoDhcwLdflRiGK+a2qIqAsOZZrlsigIgkqlQu4TEV8bR/QJ4jjG8/PzUjcr6WzbXvrmEtpMeZ7DsqyVu9C63S76/X7tmC7aTsxT9FkYBBIRfYNVAn7f93FycsLxolSLeYo+ikEgERER0Rb6FXcHExEREdH7MAgkIiIi2kIMAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCIiIqIttBFBYJ7nMAwDhmEgjmM1PU1TNd33/Q9tQ09L/9e0H03bDMNQzQ/DEGEYIs9z2LZdm36aph/ab1qN7/uN5yBNU3S73bnr27at/o7juPBZX0bPs2EYFvIv0WfSyx2iz9DtdmEYxsLykDbY+l5b/H6e5wkAhZdhZ/evCPUAACAASURBVFnW+JLt98qyrPBSbdd11Wf5gnf9pd2u6xZe1u15XmH9IAgK65Rf+i2PJ4qiT9l/Wk6WZXO/c9d1Cy90L9PzoHwJfPll7J7nqW1YlqWW9zzv0/IrfT55Psu/y6bpZZZlqeWaZFmm8pfrurXL1013XbdQ9pX323VdEQTB3LxLP5N+vvU8Jq87y1wn9DIoiqJKmSSvR/o1KQiCxnSzLFPLblioQO+wUWdWXkD1zP2VQaDM/HJ6eTv6j0T+XS6koyhqDALlMZV/rPS1ZPBdl2+iKJp7IfU8r3IOkySpnEO90JRpSvMu5rRe8jcsf8+LpuuiKFp4XvW8EgSBykue56k81zRdiLcLfTn/6fMAMAjcMFmWFc5pFEUqMJONDHVljG5RxTRJElUGyfnSvIqpLCsZBP5eG3Vm5Q9C1niFqAaBeo1K/rgACM/z5l78ZVr6D0cGaHqwVyaDw3JwWqcuCGwKHunryO/asqxCS64Q/wZ5TRfSunNcLqDL65c/l4NC+hnKv3/522+aXiaDsKYgTS7TtO26C23d9Lo0ZMWlHDTS5tHLJD2ffbRiqitXJuoqpvLaWQ4a6XfZiDGBZaPRCMPhsDKWy/d99Pt9CCEQRREsy4LjOAiCAOPxGO12G0mS4O7urjHtLMvU2JrxeIzpdDp3X2zbxtPTk/p7Va+vryuvS+9jmiYAYDabYTqdIs9zAG/5ZzQaNa6XpumHzrG0u7s7Nw/Sesh8IcfxdjodmKbZOL1sOp0iyzIcHh7Wjv1M0xSdTqdx25ZlLTW90+nUjiWeTCbI8xyTyYRjjX8Jmc9838ft7W3tMtPpFI7jvCtd27axs7OjPvf7fdzc3NQue3V1BQAca/pL/WfdO7AK0zQRRREODw+RZZmaPp1O8ffvXwBAr9fD2dmZKgw9z0Ov10OappjNZo1pW5ZVmS+DhCb7+/urHoqi/yDp+5yenqoAvN1uz1325eXl07Y7Lw/S+kynU1iWhcvLy8I5apqukxfsLMvQ6XTQ6/UK8x8eHhrLijRNcXp6utT0/f19PDw8FC78g8EAg8FguYOkHytN00oesW0bWZYhz/NKIPiRiqlekdnd3cXV1VUhDzmOAyHESmnT5tjIlkDgLcjzPG/uXcGLfhz6XbrzAj1ZG394eChMl7XuVquFVqulauK6NE3n1qAuLi5gWVZtywJ9j52dHdzc3OD4+BiGYeDw8BCTyaSSf3Z3d5dKz3EcTCYT9fnh4QFHR0eFZT6jRZE+3+PjI5IkQZZlhbKlaXod0zRrz6/sMahzfX1dG8Q1TZ+XFm2uh4cH/PnzpzBtNpshSZLa68sqFdMwDGt7PFgx3U4bGwQCb93CesbtdDqFAno2m81tJhdvYyIhhFgYhF1dXVW6oDudDjzPg+M4cBwHnudVunv6/X5jDd33fYzHY9XcTt8rz3M8PT3BNE0MBgOVF5Ikgeu6lULRcZylC0rP81SX4OXlZaFgf3l5qQSFtH55nuPq6kq1gEynU6Rp2jh9nrrypKkVMAxDnJycLD19Xlq02WR5VOY4DlzXrUxftmIqyXxbtw1WTLfU2kYjvlP5hg9Jv+tJiOIjGvQbQ/DPDSHy7/INAfpyTV+LHKStp1em302lp6Pvl/6PN4R8L/0cNg2cnndjiP7oF7lsU3pyevkRDLw7+GcqPwpDDp5vmt5Ev7uznH653NFvEtJvcmuaLkT9jQC0+bIsq+QPXVN5tczNajJ9vVzTt8Wb1bbXxgSBRD/FR4J3PifwZ2uqKNZN158aoD9HcNGFXH9mZF2lsGm6ngb9PvrjxIRYrmFCiOUqpnr+rKucsmK6vQwhOPKT6L1s2373GJowDLG3t1e5YYC2R5qm6Pf7K4+/sm1bdU0TSYZhIMuylcaW+76P/f193li0pRgEEhF9ozzP5z7yo0m328VoNOJNZFSLFVNaBYNAIiIioi200XcHExEREdFqGAQSERERbSEGgURERERb6EtfG2cYxlcmT0RERPQptvEWiS8NArfxCyUiIiLaBOwOJiIiItpCDAKJiIiIthCDQCIiIqItxCCQiIiIaAsxCCQiIiLaQgwCiYiIiLYQg0AiIiKiLcQgkIiIiGgLMQgkIiIi2kIMAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCIiIqItxCCQiIiIaAsxCCQiIiLaQgwCiYiIiLYQg0AiIiKiLfQlQaDv+zAMo/LPtu2v2NyHyH3N83zdu1IQhiHCMCxMy/MchmGg2+2uaa/mi+MYhmFU9vu3mZePfd9HmqZftu00TX/s+V8H3/cRx/GnpdftdmvLgqbpZbZt15Z9X5kntkGapj+ubClfOz4zL4ZhiP/93/9tzEN6PtPLg7prrz4/juMf9R3SDyC+gOd5IssyIYQQlmWpv13XXTqNLMtEEARfsXsV+j4GQaD+/in07yKKond9j9/N87xvO29fxfO82ulZlollfjKu64ooij5tf35inlynpvPzUZZliSRJVp4vua5bWM7zPAFgYZ74quP6yd5zzEEQ/LiyRb92fJZyGQqgsA0AhflBEAjLsgqfy+uXl9/GvEb1vqQlcDQawTTNyvTb29ul07i4uPjMXVracDhcy3bnWdd3sY3iOG5s8fF9H1mWLUzj9vYWZ2dnn7ZPPzFPrsu88/MRYRji/PwcjuM0LjObzdDv99+d9mg0gud5c/NEnucYj8fvTnuTsUWqSrb2DQaD2vlhGMJ13cJ8+XfT9+l5Hp6enirLs3WagDWNCZTN1L7vA/i3m9P3ffi+jzAMMR6PMRwOK11fslu52+2qbjm9CVyybRu2bSMMQ5W+XL7b7dZ2Acv5lmWpZnPDMBqb0GU6sqledofK/ZHrlI+3KR25fZmO3G7ddyH3TU+znI78XNflLefJbhb53enfjX785eVl95hct/xd1nVh6N+D3rUtz+e871emr++vPPbyccquEv245Xeq75O+/91uF2ma4vj4GJPJpJCX5LIAVOWm6fuTTk9Pa7uGltl//bvU86TsHip/f+V8WtcFNK9bsvw9SPrvKk3T2m3KY9C76+RvWO6TnFeeLs+TPE45Xd+O/t2Uz49Mqy6Pye+tbnt138Hl5SV6vV7l2OM4LpzHTqez0sXz79+/yLIMeZ4Xvm/9/Mr9T9NU7XdTF2hdGuV8rx9/3W9UztOX0betfwf69uT+6OVUuSyXy+nnXi8X4zjGcDjEeDyunKvyvtb9vuqOY9G+lZeflwclOa3u96SnW86L5X1q+h7Krq+vcXJy0nisl5eXODo6qkw/PT3F3d1dZbqsXLTb7cL0k5MTXF9fA3grf5quTbQFvrqpsdxc7rpuoas4SRIRBIFIkkREUaSatZu6FZMkEQBUd0sURWo52cwt05Tdd1mWiSRJCk3m0JrY9X3Up8tuV9d1K/uSJImaH0WRal73PK+wnbrj1QVBoLqJ9GP2PK92ehRFqnk/yzK1raZ0UOoK0AFQ6+tdWOXvQKarL29ZVuFc6duW2Uo/n3XfgzyWuu4UvUtDHo9+vDKdpuPUP2dZps6Vng/qzntTd7t+jhd9f03Lv2f/y9uR+6mnq+cF+bvQ05t37Lq670H//mXa8vupy39yCEgQBIXfjcwXeheU67oqPZlfZNrlY0uSpPA7Lp8f/XvXj8PzvMJ+1B1X03mR68g09W7cZboky3lBbkMej/57kcuWhxro56/unM1LQ06X25LfZ12+dl23UIbo35m+fF3ZKed7nqe2U7dcEARqv/RyU88TTftaLpfqvvu676pu38rHvSgPymuJXD6KosI2yuVXeV/L+9T0PejqupfL16q670DvEpbbkf/qytemfEXb59tbAieTCSzLgmEYyLIMDw8P2Nvbw+HhIYC3LpdFLMtS3Tb39/cYDocwDAPD4RDT6RQ7OzsYDoe4uLiAEKK2a3pZhmHg9va20jzvOA5ub2/h+z6Oj48L805PT+cer+7u7g7Hx8cwDAPj8bi2NlemdwfI7sl56fz586cxrel0qv5+eXlZuG25vG3buLq6UtOfn5/V30EQAIBqWcnzvPF7cF239vzc3d2p/R6NRhgMBnh8fESn01HLnJ+fzz1O+fnx8VG1Hh0eHiLLMvzf//0fbNtW216UT/Tjq/s+gOr3V255ee/+L0PmhZ2dHViWVcineZ7XHru+X3me134Pd3d3aLVaAN7yuuu6eHx8LGwT+Df/7e/vw7IstFqtpYZ9RFEE0zSxv7+PIAjU9vV9c10XjuPANE14nqe2X6fcUvv3719MJpPK9gAUusYA4PX1tZLebDaDbduYzWaFFsK69d9jZ2cHo9EIvV4PhmEU9lEnhEAcx6qFsGxeGnJ/Hx4eMB6PYRiGakGtc35+DuCtm1BfRnZ953mOLMsKLXKPj48wTROGYeDv378YjUaNywFvXZJyv+rK+Lp9zfMcs9lMlfWyXFnmuyrvW51FeXA6neLw8FB9x/f397i5uVHle6/Xazw/Tedv0fewzHCTJvoNa0EQQAgBy7Iay7WPbIt+j7V0Bwsh1L/BYIBerwchBO7v71e6gziKIpXebDaDaZoQQqDdbtd2gyzr9vYWQojapnvZ7dFutxFF0dx0ysdbliSJmv+ecZNflc5XWfQ9lNVdnHW7u7tLb9vzvML2/+d//mepCoe0t7e39LLSosrHe/b/I8rHXt6vZb6HRccyGAwghMD5+fmPuHv5PRW/nZ2dyrTZbIbpdFrpHgTeAt73uri4UBdk2VUohIDrurXL27aN+/v7xgv1MmkA/wYD8t+qLMsqpNPr9TAajSCEQKfTUd2Jdcsta9V9rfuu6vZtFVmWqf1pCiaX3adlNAWVUqfTqW0ouLu7q+0mPj8/bzz+Rdui7fDtQaDruiqgkuPO5BiR0WgE27bfFbS12+3CgGs5dsj3ffR6PQRBgMfHx0JBv+yYHhmQZllW+eE9Pj4WanVN6o5Xd3R0pGricv9X8VnpAMXCoan1YBlyzI1pmgu/h7KjoyM1ZgV4u+gdHBxgPB6r8/fw8LDUQH25nsxX+rZlWmmazs0XBwcH78qXz8/PlXE4q+7/R9Qdu34cMlgqfw9HR0eFfZtOp3Pzuvzd3d7eqqBSD8SWaeEu04PT8Xg8d/tyW/LcpmkKz/OW2k5dwCjzbZIkuL+/V9Ofnp5UC+myfN/HeDxWLed3d3dIkqRxeXl+5gUdi9IAgFarVbipqKlMkK3ccRzXfmfy+5HBsBz/LMcFy4C5abll1O2raZrIskyl0TTmDah+V+V9W0Wn0ynclOf7Pvb29tR+ypbPZfdp2W3Oq/zKFm69DAvDEJPJpLZi3ev1kOd5pWx7fX0t9ErQFvvs/mUdtHEJcqyEHLci/wnx71gUAIVxdvrncpr6OA+5LkrjLfRtCPE2nkKmiX/Gc5WXk5/l2BA9XZ1+HDJd+f+i4y0rr6eP6dDHzunL6cvo45f09fTjLNPn6cepj5HRv6t2u127vP63PjarvN3y96B/bhpjVfd9yu9CzwPl46w7bv370sch6eewvJ9135k+Rqjp+5P7XmeZ/W86V//973/VusPhsDEvlL//umPX1X0P+nbl918+Z/o25Rg8fRv6scp5JycntWno36Ec36qff/n70/eh/L2Xf5PlY9f/Lv+ey2P9ysculfNJeeyfvs/l/K5vq1x2yDFaMs1ymVIuB+vSKJcHQojK91qXt/T1y2nL/a7LI3L8s552eTn9c/l8y3l6euV91deX56TpO9e/q7p9q/vu5uVBIYrXMH28qdye/FfOi3XXhKZt6vSxguUyUz/ucpp151umracj09DHO8rrIG2nL78xhOi3WNdzArfROp6H+VnPCdwkzKs/z7LPWpWVrPc+86/uOYE/7fmL9H342jiiJcmxpoveGHJ2dvausVD0M8xmM5yfnze+MWQ6nc59jiDRZ5DdyIu60uVY+v39/cKjguaRaepd1d1ud6Uxz/Q7GEJ8YLQwEdEny/NcjUsNgmCpm4jo/cIwVOPbsiz70FMUiGgzMQgkIiIi2kLsDiYiIiLaQgwCiYiIiLYQg0AiIiKiLcQgkIiIiGgLMQgkIiIi2kIMAomIiIi2EINAIiIioi3EIJCIiIhoCzEIJCIiItpCDAKJiIiIthCDQCIiIqItxCCQiIiIaAsxCCQiIiLaQgwCiYiIiLYQg0AiIiKiLcQgkIiIiGgLMQgkIiIi2kIMAomIiIi20JcEgbZtwzCMwr84jhuXsW27kkae54X5eZ4jDEOEYVhJ2zAM+L7/FYfyo/m+X/lefyJ53urIc/tZZL5ZNT/o+esrdLtdpGn6qWnGcVz7m+h2u4Xl0jRV89I0Vd9R3bqGYRR+g+V/TedTHmPdOnVlwKJzPy/vNG232+0ijuNP/551876zdZmX95vyyFfs87L5UV8uz/O5+VE/pqb8VU5ft+x1Y5kyNU3Tudta5hi/Qt33UndtXcZH1n0v27Ybt7VK+UPvJL6I67oiSRIhhBBRFAkA6jMAEQSBWjYIAmFZlvqcJElh+SzLBADheZ5KT/6tL++67lcdToW+/e+0ru1+lizLCuf+K5Tzx7KSJFF5yHVdEUXRh/flO45XiOK+y+0CKPyuLMtSvynXdQvLW5YlsixTn4MgEFmWqWX09JMkWXhMnucVvr8gCCq/+1WOsemcRFFU2D+9/PgqTd/ZOjXl/SiK1HennxvP8961z8v+rpbJjwDUti3LKqRd/m4ty1J5R09Xv4QtKv+/6rox7zuZd4xfofy78zxvpeNLkqRwrr5SlmWN21q1/NH9hN/lT/Yt3cG9Xg+WZeHh4QG+78N1XQwGAzVf/i2j+/PzcwRBAMdxAACmaUII0Zi+4zhIkgSTyeRLa/9SHMdrqfGva7uf6eLiYt270Ojl5QWmaQIAbm9v0ev1Ppzmuo7XNE1kWYYsy1TLRpZl2NnZAfB2fPJY6wwGA5imidvb28o8x3EKv99lDAYDBEGA4XD4rvV05+fnjfOen5/V8TiOgyiKVt7OquR39hP1er3a/DwajZbe54+UP+X8KNOR257NZnPXPz8/x93dHQDU5sl505t8xnVj3nfy3mP8Cn///sVkMvn27X6Wzyh/PlLmbINvCQLTNEWWZWi1WphOpzg6Oqos0+l0cHd3hzzPMZlM0Gq1KsuMRqPGbTiOA9d18fDwMHdfZJN5Xbef3l2mN9vL5uowDPH//n9756+byNPs/S+3sVpZFsM1OLCwAwKG8AQOMDqBI6RBek5kwQkcnEcimdFGJwDJkSMzesUFGAKkAyMCXwMzsqyVb2PewL/qrWm6hwGD17vUR7IWZvpPdXX1n+mqYf/f/8P19TUmk4nKa8qXVw93EURRpNJ0Oh3lNuP5giBAFEWZeuk+z091UPk0QW3rwqPJy6YP3bVSqVRUfp5HlyUIAgyHQ/R6PTQaDZWH109uFtJFkiRr+rJBIQavr69rcppk4Z+DIMD19TWGw6FqE9XP09raqfcrlcnby9u0yW5M5ZMNFqVcLsPzPMzncwCA53lwHEfp0DaeDuWyoomb3Gm8bSab4v3V6XQwmUxwfX1tlO/q6grD4VDZT7PZRLVaVWXw8mlTzPur0+mosdJoNDJjsgh6Oh7uwusiG6D75BLnY4/Sksuey62XQ/ag2/62UH9wt9ymee8j9lgul+G6bmY85M3vd3d3xnXjo/B1g8+pQHZ80t///d//Kf3rc7KpvaY2cjsjvZP96GFQQP6csIkfP37AdV31nc/zfC7Ncx+Trel5+RpHZZA73TauaK3g5Y7H48Lt4ZjWBb6GhmGo2uM4jppHirryj4ZDHTG6rpsCUH90fMuP9TnkEia3Qd7xrc3l4bpuoeN2MNey67rquFh3nfm+r46euVzc9WTLl1cPP9amvLp7jrqGl8/rpTzk8jK530geXqZJr77vq/Se5+Xqg/Sgy0mfeXtMslH5pvzcBUR6tulLh9fB3S6+72dsgtJwty/Jo9sV1xd3D5vayfXF5dTbS23cZDcmPeahu9+4Xvh1z/PUmOQ4jqOum3RsK9+Gbo8EgIwe0zTNtSleziYXPZXD5xsqg8ocjUaqfdze+H3Kn+emovwmnfE+46Eunudl0vFxp7ebbJ/bFOlfL8dm+zZMc4U+PjfNe5soao+0Tuh65rrV+5OzzRJWZN3gfaeHT/DwJh6atEknpjbyECmuY93eeQhVkTmBj29orm7eJ7wNpjbzOYzrXh8TXF5ug7ZxRdd5/bo9mzCFF9jWUZKBzzPiDrZz0JPAxWKBNE2Rpmmh49t9BKKenp4WSnd7ewvg/QlzNpvh+fkZ9Xpd3Sf3w7dv39Dr9fDjxw+kabrmOrHly6uHnhwvLi4Qx7F6Sry5uVH50jRFGIZwHKdQe1qtljrxSZIE5+fnSJIEcRxnnh6fn5/X8s5mM1xdXQF4f1LtdrvWdpXL5YxMjuNk3CHT6VR9/vnzZyHZiXa7reR7fn5Gs9nM1RdnOBwqdxd3G3a7XQyHQwDvT45nZ2fqXqlUwtPT09auTWC9nc/Pz2i32wDeTxc2uX422c1H9KjDbXYwGCBNU7iuuzbe4jhGmqYZuQ7B9+/f1+TLs6miUNjIYrFAr9fLBPj7vg8AykaSJMFqtcLb29vayQoPV4njOLdOk84mk4kKZel2uxmbJRsB3k8v7+/vAbzbpuu66oWWs7MzlMtlrFYrBEGAi4uLTL28HJvtF2U2m+H6+hqlUgnD4bDQvPcReFlPT08q1Ec/oSHdpmmK2Wx20BMc07rB+7RcLu88Dm1tdF0X1WpVnZA+Pz9jMBig2WyiVCqtuXGLzgmj0UjprVarKfuuVqt4enpCp9PB9fW1Sr9arZS98s/A+5pMawPwrodKpaJO3pIkwcPDQ6b+vHFFff/w8IBWqwXg1xq5DbZ1YbVaoVKpYLVa7SWc5xj49J+IIbevzv39PWq1mloQTEfEeZNAFEVWN/Iu0EJFC8vl5WXmWH9Tvjw8z1OD1DbBVioVzOfzjYsQUa1WMZ1OkSQJnp+f1UB2HCdTl21gvL295ZbP29Xv99XGst1u722BuLq6wt3d3dr1IvrKw/M8hGGYiRujiXmTm3wbXl5eds5bxG62JUkSDIdDXF5eAsi6LCnWxmTPeW65j0B65osM8VGbCoJAtYViAumhyEaj0UC/38+NNy5Kns5sD3LUxiRJ8Pr6ilqthvl8nolNpYV0sVh8WMY8+AM7xYtuM+8VgdsjhVkQq9UqN3bt7u4Ok8lk7zHReevG7e0tLi4uVPu33VRs20bgV1gEPah9FHqY4aFBl5eXmZhZ2xoTxzEqlcrawUGtVsNyuUQYhpl+oTlsn+MqD9O6sFqtMJ1OM2EfQj6fvgkcDAaYTCaZwUGLExnsw8MDer1eJmah0+kYNwjA+0C+uLiA53nGBcYEbXoeHx9xc3ODs7MzDIdDVedyucTNzY2Ky2k2m/B9f21A2PJtqocmM754EUViZEy02+3M5pkWEhoMURQZB0atVsPj46P6HgRBbrseHh62OuEtCj1lhmGoJpQi+gLeF1qyKX3xb7VaeHh4wMnJibpGp2BxHBsfSqhMYtPkTXISmzaWm+zmoyRJAsdx4LquWrx4fXRK/FkvMgRBgF6vZ31hYx82xTe58/k8c7pDG/QoilCpVFAulzGZTLZ+maAIrutmYryoPhP1eh3j8RgnJye4urrCdDpVcX1RFK29RGciz/aLUKvVMieIFO+WN+9ti8kee71eJj42z+tB8u3TXjetG51OJ7Mx3oW8NnJvAZ3mzmazvW74yS6+f/+O5+dneJ63tpmlE2gAKiYVeLerp6cn3N3dZebc8/NzdYJNMZWdTkfpsMi4KpfLqk93sS3bukBjbbFY7DQWjpJD+Jh5PIcthoenMcVU0Ov7ejn0UxP6H49b0H+SRgf/xFfodVM+sFg+ikWg62majT2y5curh7eBYnDoO/85AT0/r5fHfvA4Or3dXI9F45v0n/bR22WK1+FxL1y2Xq+XKZfKdF0300a9Dzi6vkxw3ZAs3Pb0n5zgMo5Go0wdPIZLL/Py8tLYTvopGF1O3l7djkz6telR/5kkDi+H/+lpKR5LH1M8j2nM8PJ5fKotvR4PbCpb73uTTXF9UoyaTQcU12aydYo50scLl9NUf978tEln/L6uQ55et3cey8TL0eXj5WyyfVvf6LGqvNwi895H7JHGi2neMeXl/abLQvfomi3m3FSmKXaUyjPF1/H5lMdM6nPWpjZSbKo+FvV5SP/XNO+b+pb/UdlcVipTbwPvW+ozqlOPL+cym+I8beNKtzlKb5vbbePaNN/yunk8J8lL647wi4O9GPK7oUBmE6YBdAg+q57PRtfrZ/wO3kf5E2QswldqR94Y25ZD2pT+co6wP76iXvcl0yFtcpuXbIT98hVt9nfyV/63cVEUoV6vS2DoAQiCIPMzFH/C7xYmSZJxBf+pVCqVvcW8fpR9jrE/0aaEr2WPRKlUyrzIsCtRFK298PCRmF/ha3CM/7PYJkppeuDozS9Go9HAZDKB4zgH/fHOz6rnd8Df+vrK7aM4pK8so/DOoWwqDEP1JuRisSgcMywINIcT+4qhpXkJeH9rfZ9x1YKwLUe3CRQEQRAEQRB+w9vBgiAIgiAIwu9HNoGCIAiCIAhHiGwCBUEQBEEQjhDZBAqCIAiCIBwhsgkUBEEQBEE4QmQTKAiCIAiCcITIJlAQBEEQBOEIkU2gIAiCIAjCESKbQEEQBEEQhCNENoGCIAiCIAhHiGwCBUEQBEEQjhDZBAqCIAiCIBwhsgkUBEEQBEE4QmQTKAiCIAiCcITIJlAQBEEQBOEIkU2gIAiCIAjCESKbQEEQBEEQhCNENoGCIAiCIAhHyEE2gZVKBaVSKfMXBIExbRAEqFQqme+mPFTmf/7nf2bKTZJEpel0Omv1lkqlTPmcRqOxlrbT6exJC0CSJCiVSoiiaOu8pAfKGwSBVYf7G0sPhAAAIABJREFUYJPei+glT9c6YRiiVCohDMPMdd4nh2wvZx+6NdlSqVRCo9HYk5S/4H0SBAGSJLHaPm8XXbPZI5XLbaHoOLbJ9RGiKNp6TFYqlTUbpHI2zQthGBa28033i+p5EzSH5MlFfU/6zmtHo9HYaT4CsJNN7AK1meYHvS36XEW2xscgL4P3M13797//bW2PTT+b5PpsbHrYlP6j/d9oNNT8zW2Tj7Ntx75Nts+yuaMmPRCu66aLxSJN0zRdLBYpAPWd43leJi1d8zxvLa3jOOqzSXTP89I4jlVa+uy6rlVOz/PS0WiUpmmaxnGcAlDfP8poNLK2pQi6XojFYrE3GTlF9J7HYrEonJbqM7XDdv0rw22M22ae7ekU6Vff91UfjUajFICyc9/3U9/3VVq6z/vUcRxjH9MYpfpJ7sVikfnMyy8q10fg5RYhjmOjDZquAzDOI9tgk62onotA80gefL7jxHFs7bNt2dYmTPi+v9EuXNdV+vE8L9Nv+nff9zNri+M4a+sOr4/0weXm44bubStXkXbtk016sGFbU4pA6yOvUx9To9Fo5/JNsn2WzR0zn+IOrlarcBwHP3/+zFxPkgSnp6eo1WpYLpfq+u3tLabT6Vrafr+fW89gMEC5XF67/vT0VEjOcrkM13Xx+vpaKP0m5vO5sS0fZZMedmVXvQt2Gytqe0Cxfn15ecHp6SkAoNlswvd9a9pms4nRaIThcKiezNvtNqbT6dqT+nK5hOu6uXJXq1V0u90Py/VVSNMUAHY+VYiiyDq2i+r50Pz48WNvZW1rEyZ6vd7GNKvVCt+/fwfwPqfX63UA73PRcDjM6Lzb7WI0Gqnv9XpdrTO07ry9van7b29vuLq6ssrd7XZRrVa3kqtou/ZFET0cgnK5DMdxlE1fXV0hjuO1dDb97cJn2dwx8ymbwDAMEccxzs7OMtefn59xfn6Oq6sr3N/fq+vlchmVSiVzNDwej9fy75soijCZTHB+fp6RnbsJyPVCLoZNR+ymtpDbIkkSlZ/conSkzt2I3HXa6XQwmUxwfX2tjuG5KzCKIuW2aDQaa655fl93Z2zSu378T3qgegiSh5fPZfgI3CVDi7fJ9UM65v1F7edycN3yvuDpeb/wv6IuD5PMep/q/Ur3dVqtFnq9ntJtt9s1PvgQzWYTjuPg+flZXWu32xiPx4VkL4pNLtt4oetc18AvV6keJmC6rrv/dsH3fcxmM9W/Jvc5dwGSuzlJElxcXCCOY2v9RfXMx6jpOn8oNbnhOLwdQRBgOByi1+uh0WisuY25TZNe+RjYZnOsz5OmssgGHMdZu8Zpt9u4uLhQMg0GAwDvc5HjOGv23mw21caj1WphPp9nyuIHDMvlMne85GGTi7frv/7rvzL2TTrc1Mf6fMRdvfpYKKIH3h95/ajPm6bxqeuA5hI6NOHrBdkqty2yU31OTpLEuN4VxWRzXG4ar8Avm+t0OgcJ0fmjOdQRo+u6yt1icxHyI139KFh3gejukE2i29wjOp7nKTn1MuM4zhxBUzs8z1Oyx3FsddnSdZM7B8xNwd0MJIPuQucuUp6euzK4+0N3yemuWps7yqZ313UzrnZqH5dRd3XRPS4jb8cu7mA9JCCO4zXdkDwAMjbGbZGn0/NTuVxu7mba5FLR7cgkM9kVd8Hzfs2D9AzNrai7g3n93N2lyzQajZRMev3cDbOrXLbxwnVN45Bsl3RCbi7KR7rlfUa2TuUXdQdT+XRdt1OTu5CXkxf+UFTP3Ja4LLx93LXM5zVuZ/y6rR16OqqLu/mor13XtbrcdJuwzZOmsviclAf1O0/v+34hW+R6cV1347xnGzdF5aI66bvuqrX1cV7fUxtGo9GajW3Sg94/fDzyOrktUFgWpbGVbyqbbJPGqD7W+PxjmpOpXL6WbKp3k805jpNZh8QdbOegJ4GLxQKLxSJzbM7p9XpqJz+ZTDJPbM1mE8PhEMD7Scrl5eXB5ByNRojjeM1N8/z8jMlkglKppJ76kyTB7e2tOrkcj8fG4+/Hx0dcXFygVCrh+vq6kEs4DEN4ngfg/ci7iNtoNpupk0vKQ09qruuqp8VqtapO+fJOTWx6n0wmcBwHpVIJcRyrvnIcJ9N+x3HQbDYBvJ+yLJdLdLtddLtdVCoVVfYuJEmiTl7oyfn5+RmDwQDNZlPZEefq6irznfeDHp5AjEYjpbeXlxcAyNhwuVy25i0qc7lcRqlUwu3trTpRKEq1WkWaphiNRri+vi4U6H1ycpL5Xq/X1VP+fD7f+XSkiFx544V0fXp6Ct/3lRzcRj3PQ7lcVvZNblg6oabTzl0D3k2nUXy+OTk5UXawLZv0PJlMlD663a6aY4bDoRpHPExgtVrh7e3twyfqURQpu3QcR10D3k+Hnp6eCrvcbPPkLmUR3W4XaZrC8zwlX1HIRpIkwc3NDQCoUydy5+5KUbna7bb6bOtj23UAKpyCbGCbk+7lcolaraa++76fOR3l5ZE93t7eZuZO0ptOtVpV6cIwxGKxUHMqje3n5+fMfNnv9zGbzdR3mpN3We8Im82tVitUKhWsViulOyGfg7uD+fE0J4oiLBYLpGmKNE0Rx3HGJQy8T/5hGH6KK7hcLqNWq60dnXuep2RM0xTlctnoNtU5PT3N5NuUfl/kLeY3Nzd4fHzEeDzOHSA2vfP2bDOp07H9dDpVg35XHMfJyNFsNpULI03Tg8Vb3d7eqk19kiRbTTAmmQeDAdI0Rb1e3+otQ56WYu/4w5OOLRSj1Wrh4eEBURTt5QErT64i4+WjFH0rXafX62UWTKLZbOL+/l49xG27USe21fOmDU+j0UC/31fxjB/Bdd2MXVarVTw9PSFN063fwDTNk7uWxW1pMBioTd35+Tkmk8nahiiKokz5FGNO81e9Xsd4PMZyufxQvJpNrm2x9XHRzW5RPRD6A6CJbR4Cqd3z+VzpM08PH9142zDZ3Gq1wnQ6NbqyBTOfEhM4GAxwfX2dufb4+JgZkKaFgibQl5eXjUZKMQAfodvt4v7+Xg2us7OzTFA9fwX/5uYG/X4/Ez9IRFG0NvBoA0bwAU9PVt+/f8/Up59qmajVapmntul0at2g0CnfpknBpHfXdTMxeEUm9V6vh6urK8zn88zp2i40Gg2Vn8dPhmGI2WyGxWKxc9lF6HQ6arLZ5mUPm8yNRkM9uW774hBfjGazmbU/wzDE9fV15oSNoLF3c3OztyfmPLnyxktRoijCarVCtVpd2zzT9W2gUzDTA00QBHh4eFB9viub9Oy6rmpHkiSoVCoqAJ/GGD/FmUwmW9lfnlyTyUTNt2EYIooitZmO4zhzepOHbZ7cpSzgfQ7jc/lkMsG3b99QrVbhed6aZ+nm5ibThzzGvFwuo9VqbVX/tnJtwtbHtuvALw8E9Qkfv5v0cH5+jl6vp/pjPp+j1Wpl0lJ5ZGNRFBV+QKe1jF4Ea7fbeHx8VOOd7IFsa7lcGk8Wd1nviDybK5fLWCwWa6efgoVD+Jgdx1mLDaK4HfwTlwXtpyv4fT2GhX+n+BXTH8Gv8fgHPc6Bxy3qcXVgcWH0vUhcIk+vp6W2p2k2FlGPQ9Ov82sUY8fl4e2gmAyTLqneInFnm/TO28T1osuapva+19PpbeF/JDPvHx7LpZfP/+XlUnwVpe/1epl2cL3xuvXYUVPMjK4jHo9p6n+SkceekRw8Fs7Uf7ocuny63nh/UR4ee8fHLMmj9xu/psfu2OTi8DHB9auPMV0ObhMcLjOPk9Pr5/q39SGXfTQaZb6bbJ7y6vXvomfTHMZtido/Go3WYq1pXuOym9pBcV68nk12ZJonTDah9ye11VQWbwuPfeNQnGzeHGbSmW4beuyZLf5Ylztv7Nnkonb961//Ms5rNnlN1/ncYJKjiB708aWnj+M4Y2OmudRWL+XL+ykebif6OmWzG7qvs43N6Wshv0bjZ5ufMTsGDvZiyFdkX7+XdajyPoM/UeavgL6AfIYe+ctFXwl6eWNb/iTbM70g8xX74k+HXpb5avzO/tZf5hH2i+g2y9H8t3GNRqNQbERRKEZF+PuJoggPDw+Za7u+KFCUMAzR7/f3+ptb+yCKItTr9a1dyH/aeNkUviJ8nCAI9vZS0j75qmNP+Di/+395+YqU0nQPEcZHRBRFuLi4gOu6e4nN+SwqlQriOEYcx19u0v0TaDQamZgV0WMx/tTxEgRB5kdmR6ORvG0oHByK4wXef11DNqLCoZFNoCAIgiAIwhFyNO5gQRAEQRAE4ReyCRQEQRAEQThCZBMoCIIgCIJwhMgmUBAEQRAE4QiRTaAgCIIgCMIRIptAQRAEQRCEI0Q2gYIgCIIgCEeIbAIFQRAEQRCOENkECoIgCIIgHCGyCRQEQRAEQThCZBMoCIIgCIJwhMgmUBAEQRAE4QiRTaAgCIIgCMIRIptAQRAEQRCEI0Q2gYIgCIIgCEeIbAIFQRAEQRCOENkECoIgCIIgHCGyCRQEQRAEQThCDroJbDQaaDQah6wCABAEAUqlUm5dtjRRFKFUKqFUKqHT6Rxa1IOSJMmH2lGpVJAkSeZaGIYolUoIgqBQGaTnMAx3kmHfkDz8T7cBPU0URWvlVCoVdT9JEnQ6HaVv099XJQgC/Pvf/86Vk7fLpIuPwsvvdDoZ/ZOdkd3RX6VSMZbVaDQOIiOHy8LlaDQaGZvYZ31FxxuXzzZ29ymbCd6ftrpsafLydjqdP35OJshWdiEIAqM95I0LHdLzZ6zHRbDNnTbbsK1rfGx2Oh2EYYgoijJjk/99lXXpS5EekMVikY5Go0NWkS4Wi9R13TRN09T3/dT3/a3SmNL/yYxGo9TzvA+X4/t+GsdxmqZp6nneRj3x9K7rHrzft0HXCQD13fO81HEcdS+O4xRAulgsMul5+x3HyeTRh5HjOCkApY+vAu9Haqepn3zfP7j8i8Uio0PP89QY5XLEcbyW1sZoNMr02z7hcwjHNtZ2GYN8DPm+v1UZ+5RjWxzHSeM4TuM4tvaTLY3tuud5mXH6N7CP5TaOYzWGi4wLnn40Ghlt+HfCdUJ9nqbvbdPnYdd1M/ZA8xQxGo0yc5rneZn5jdL/bWv+RznISSA92V9cXOD6+nqrk6Q8Go3G2pPP4+Mjbm5uAADdbhf39/dr+WxpoihCr9cr/DR1TPR6vYOm/534vo/pdIooijAcDjGdTtW9crkM3/eVvQRBANd10e12VZrVaoV6vW4tf7VawXEc/Pjx43CN2BI6LePt8H0fd3d3v0WearWKOI7V91arhdVqlUlzcnKCcrlcuMzf1RadMAx3On3jY4j6Ke+Uk5+UDIdDdTJku/5R6NSFyxRFESqVCsrlMsrlMur1+prMtjR5eQeDAXzf/7DMfxvbzilfaQ7axO3tLYB3e7m5uYHv+6hWq+r+YDDAcDhUNtLr9bBYLNT9ZrOZ+a7T7Xbh+/4ftVZ9BgfZBHa7XaRpCsdx4DgO0jTNLD5A9niaXG0muBvu7u5ubaGYTqc4OztbK7tImm/fviFNU7TbbWv9NncxlwvIuk3pKDpJEvWZNsE0IXc6nbXjed2dSGnoX5o4TUfbJM/r6+taG7gMuluc9M/dFbRgOI6TqYPS6EfqtvQkEw1avjjpDwXcjazn47qhujalz+P+/h71eh3L5RKO46xtNM7PzxHHMZIkwf39PWq12loZg8Egt45+v5/ZXBLUl9w1TfLTPSDr5iBd8XHCbYKuk05MC/7j4yNarVbm2snJCSqVytqifn5+bpWZ3C0kL90LgsB63Ybneapumuz52NVtmXRCtkt10DiL4xgXFxcZfZhslo9nbpOU5iNusyiKcH19jclkYuxLai/JHoahsmEgO4ZarRYeHx9Vel2mcrmMNE3VZmmxWGC1Wlmv65BuuCw63FU/n8+RpmlmYV4ul5nxcXp6iuVymSnDlqZI3jz0OViXl/dnpVLJzNH0mfTO7VV3TebZP18XSB7eT1SeaRxwGXS3ON2j0A0KERgOh+j1epk69HHB6zalJ5n4eka2oM8dfJ025eO6iaJoY/o8xuMxAODbt2+I43htHiqXy3AcB8vlUvUtt0X63mw2rXUUebg6Og51xOh5nnI/2Y6gyRUXx3Hqum7m6LeoS4ry274XTWNzJZOKyH2WpmlGVt/31ZE8HWcvFgsl/2KxyLiS6Jibjql5eqqfH2M7jpM5Aqe6uDx56U1t5u5RflzOzYHrnrfL5m7m6V3XVd95u3QXqt4Hefm4LKRLW3odchPQH8nB+47DXcKO42x0bZuGEdXJ4e4b7v7SXbO665Hu8T4nvSwWC3Wd60uXWbf5OI6V+1R3sVCduptOD6sguYpcN8FtSW8DtYs+g7kGdR1QOtJHmtpt1nXdtfS6Xk39vY07mLvdaG6jMkiXdI33lT4m8tyrXC7Kx/Pbrut5HcdJfd9fG9d6f9gwhdfoeWxpNuXNc4nzOY/CT0z2RPMv2Q9dp3S6/VC/0Pq1yf65PGR7JE9eelubTXbI28pDOvLGBZeLu4OpT3m7qP/19FwOWz5dFppXTOlN8HmZ+ssUkkOQS3g0Gm0cG7o7mNf5lcKVfjcHezFkMBhgMBig2+3i6enJmGY4HOLh4cHo8qHTxHq9/inBrFdXV3h5eclci6IInucB+PXUDQCTyUQ9gXS7XXVqBEAdYZ+cnMDzPJWOP4k7jqOeVnzfx3K5RLfbRbfbRaVSwXA4zMhBJzhRFCGOY5RKJTiOo64Nh0NVXr/fN7av3W6rJ63X19e1OjbBj+aLuLpGo5Hq15eXFyRJomSnJ/fn5+dC+QCoa7e3t5hMJtb0NjzPQ5qmSNPUeCpi4tu3b4XS2aA+IvhTa7lczrhDAag+1E9IfN/HfD7fWB895fb7/bX0el1cpul0iiRJjP1aLpexWq0QBAEuLi4y9zzPUzJzndqu65ydnanT0vF4jMVigdlsBuBdB3xecBwnc/paxAZNNjuZTOA4DkqlEuI4VvV4nqdOF0yn6TZOT09z7z8/P6tTwYuLCzVXrFYrVCoVrFar3JMLW78R1WoVaZqq+Yl0ZrvOeXx8RL1eX/PSANn5Tg/Y/wpMp1Olt6enJzSbTcznc1xeXgKA6lM6WST7IT1wW3p7e1OfKaTg9vYW0+l0o/1zeS4uLlAqlTCZTDCfz9fCkExcXV2p8KQwDOG6rjpt1L1XJrYdFzy0hWxrNpupsK3hcKjGYJF8dFpXrVbhuq6a003pbdC8nGqnzDY2jbkifP/+/cNl/C38tp+IiaIIruuiWq2qSdFkAKvVCnd3d2vuQKJeryvD0zcM26QBzMZVZPLTF/tdoCP96XSamVx0XNfdetAA7y7O2WyGJElwcnICx3E+/UicQgPoL2/xs7EpRoy7yzfFQXG3L2c8His3cb1ex8PDw1peciXauLu7M8YNUuhBqVTCaDTKlY84OTkplC6PPBulB4TxeIyrq6u1+7Rpz4u32QR3getjMEkSvLy8oFqtYjKZHHzDwW2QFqpWq4WHhweEYWjUwbdv34wb2rwHD4I/gNCGbLVaYTqdbnxjcR9zi43pdKrisB4eHtbCBYDsw7ju0gZ+zSsE3xhsSlMkbx6b7GQfmwWguP3Hcaz6eFO4CMHHwOvrK2q1GubzOX7+/LlVPOxHWSwWSnbboc0mNsnL3fd5aw93+3KSJMFkMsH5+TnOzs4Qx/FaOfTLDTbILV903TwGftsmkD8l2RZagp5qTac4NHkD74t3u91ey18kTafTWXta0xclCvh2XVcZWpIkKri5KPzJ6P7+HldXV5jP55lTLRMkDxk+PTE6jqOM23ZiRHnH4zGazSba7Tb6/f6nPRFRu2jBi6Ko0Ov6lI/ax09nTeTZiimt53mZzRq9LET2MhgMMJlMMjE9YRji9PTU2leVSgVxHK8tBLTZ2bQJPj8/R6/XU3Y3n8/RarUy9dHJql4+YF7Q6/V65sSD0+120ev18PLystYmeliznWQURd8EEe12Gz9+/FAnOJ7n4cePH1ttBrbBdV3Vl0mSZBaF1WqF19dXY7/qdkifN200zs7OMBwOVd8EQZCZMxaLhXXMvr295b6A9BH4SxlBEKBcLucujKvVyvjgSXqjk2TTw7wtTZG8Nur1uvJsAO96vby8xPX1tbo2m82MG/o8fv78CeDXOlHU/uv1euYljE6ng9PTU3WymLfpobacnJzg6uoK0+l0q9Poj1Kr1TIepKIxfLVaTa3hQPZ01oTNhkw8PDyg1+tl9Fav15V3jV7g009n6/W6dQMeBAF6vV7hh++j4VB+5k2AxQF81D9P8T88ZkeP9zKloZgyWOIP0jQbT6bHadGfno7iP/BPvAb/THE4PK2en+7zdHnyUAwFXbPplL9iTzEcBK+T6+Zf//qXsV163Ail19vG+5jq5PXw/rLl4+3j8Si29LZybfFpPA0s8VP8vh53pP9tEwNDsS0m+zXpmuuZ/xQN170pjsoUl8rLpvgZvU16n+X18X/8x39Yx4ANHkuUpuZYSl4Ol4GPX2pDnnwUo6SPXa7zTTFwPK/Nnngdel/y2ER97tHHrh5nVuRncorC56WP/mwItxHqRz2uy5Qm73oR+zGNWd4uHmtZxH74mNLjl232r8dU6/JQHfxfHd3meZwo1wPFt/LyTO0ylW0bEzw2VbdH3o+2fLodb0pvKtc25+ppTGPTNndzufT5TMhSStN/Aj8+kSiK0O/3dz52/pOh19+LxqUJfw9JkuDt7S3zFBwEwYdP2ZIkUa72POh04qP1/a2EYYizs7NPdcPZCIIALy8vmVONfdgKUalUVMyb8E6lUsHDw4O4CoWj4re4g7krWBCOhR8/fih3E/D+QLCPeL+i0IZCfjXfjM0V/NlQ//AN4D7/5wzuChYE4cj57KNHfkz71f5Hhc+A2v43/RK+UAzdvbGvX+83uZOF4tCcdAyuIj1sRXiHu5EF4Zj4Le5gQRAEQRAE4ffy294OFgRBEARBEH4fsgkUBEEQBEE4QmQTKAiCIAiCcITIJlAQBEEQBOEIkU2gIAiCIAjCESKbQEEQBEEQhCNENoGCIAiCIAhHiGwCBUEQBEEQjhDZBAqCIAiCIBwhsgkUBEEQBEE4QmQTKAiCIAiCcITIJlAQBEEQBOEIkU2gIAiCIAjCESKbQEEQBEEQhCNENoGCIAiCIAhHiGwCBUEQBEEQjhDZBAqCIAiCIBwhsgkUBEEQBEE4QmQTKAiCIAiCcIT8tZvAJEnQaDRQqVRQKpUQhqExXaPRQKlUQqfTOYgcVH6pVEKSJOpzpVJRaega/UVRtFZOGIYHk5HT6XSUHLw+k9z7gPrpqxGG4cb22tLk5a1UKlZb/NMgW0mSZKf8lUplLW8QBLnjtWiaXaCxSnQ6nb3VEYYh/vu//3ttrNOfiSiKCo+Nj/bFZxKGIYIg+N1iCIIAAOlfyGKxSB3HUd9d101d111LF8dxCiD1ff+g8jiOky4WCyUbgDSO44wcJANPm4fneYcRNk1T3/eNOrHVuYsso9EooxPeXzaovwAU0tGuxHGs5BmNRsb22dLk5XUcJwWQjkajg8n+2TiOk7HlXeF6cl13o46KpNmFQ0yJvu9n2qfXsa+xvK++KMIuMvM8uk4EQfg9/JUngTc3N1itVup7rVYDgLUTtvF4DM/zDi5PvV7Hz58/AQDVahWO4+Dt7U3df3t7w9XVVeHyvtJTdJIkGA6HW+e7u7tTn6vVKvr9/sZ2jcdj+L4Px3GUPj+K6RR4PB6j3W4DAJrNJqbTqVEWU5q8vKvVCq7r7kXuv4ldbehPIEkSzGYzDAYDa5q8e1+RXeYfvY+73S6A9TlZEITP5WCbQO5WLJVKGdcs3QN+uc5KpZKaXCgdLyeKInWd3EEmd1sURajX62vXb25u8Pj4mCtzFEUZebksdI/qtF030Wq1MJ/P1fd2u43lcqm+L5dLlMvlTB7uQqY6giBAGIbo9XoYDoeoVCq5cpCeqBxyd1Hb9uFCchxHyRtFUUaH5EqjPiaXdqPRQBzHuLi4UH3ebDZxf3+fSa/T7XbR6/UQx7FRFu7at7kLuUu+VCohTdO1RXg2m+H8/Fx9r1Qqa4uVLU2RvHno4QNA/hghfXc6nYzugV/9z+2AZOHXgiBQeqFxSjZC8nC7Inls4Qk8BIP6gtJS2dz1qtuQXo5Nf6+vr2u60tsFIDN+SA5uB6ZNDZUTRVHG/azLtKmc8XiMm5sbo/wAlDxUB+nrf//3f9d0XLQvitiGSVc8Pcmht0mff/RyqB/4GAzD0NjHrVZr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\"\u003e\u003cbr\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eCSF and\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eSerum\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eConcentrations of Biomarkers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;levels of CSF biomarkers\u0026nbsp;were presented in\u0026nbsp;Fig. 1.\u0026nbsp;CSF\u0026nbsp;sTREM2\u0026nbsp;was significantly increased compared with baseline in POCD group (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001) and the higher level of CSF sTREM2 was observed in POCD group than that in non-POCD group on postoperative day 3 (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001;\u0026nbsp;Fig. 1A). Postoperative CSF\u0026nbsp;A\u0026beta;\u003csub\u003e42\u0026nbsp;\u003c/sub\u003ewas significantly decreased in POCD group (\u003cem\u003ep=\u003c/em\u003e0.002). Furthermore, the lower level of\u0026nbsp;CSF\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e was observed in POCD group than that in non-POCD group (\u003cem\u003ep=\u003c/em\u003e0.005; Fig. 1B). Postoperative CSF P-tau and T-tau were significantly increased in both POCD and non-POCD groups (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.05 and \u003cem\u003ep\u003c/em\u003e\u0026lt;0.05, respectively). However, no significant differences were found for postoperative CSF P-tau and T-tau between POCD group and non-POCD group (Fig. 1C and D). Postoperative CSF\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e/T-tau ratio was significantly decreased in POCD group (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001).\u0026nbsp;Additionally, lower CSF\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e/T-tau ratio was observed in POCD group compared to non-POCD group on postoperative day 3 (\u003cem\u003ep\u003c/em\u003e=0.036; Fig. 1E).\u0026nbsp;\u003c/p\u003e\n\n\u003cp\u003eThe\u0026nbsp;levels of serum biomarkers\u0026nbsp;were presented in\u0026nbsp;Fig. 2.\u0026nbsp;Postoperative serum\u0026nbsp;sTREM2\u0026nbsp;was significantly increased in POCD group (\u003cem\u003ep\u003c/em\u003e=0.007) and the higher level of serum sTREM2 was observed in POCD group than that in non-POCD group (\u003cem\u003ep=\u003c/em\u003e0.001; Fig. 2A). There were no significant differences in serum\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e, P-tau, T-tau and\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e/T-tau ratio on postoperative day 3 compared to baseline in both groups. Additionally, no significant differences in serum\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e, P-tau, T-tau and\u0026nbsp;A\u0026beta;\u003csub\u003e42\u003c/sub\u003e/T-tau ratio were observed between POCD and non-POCD groups on postoperative day 3 (Fig. 2B-E).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnalyses of the correlation of postoperative CSF sTREM2 values and other factors were showed in Table 4. Postoperative CSF sTREM2 was positively correlated with postoperative serum sTREM2 (Spearman \u003cem\u003er\u003c/em\u003e=0.381, \u003cem\u003ep\u003c/em\u003e\u0026lt;0.001), age (Spearman \u003cem\u003er\u003c/em\u003e=0.459, \u003cem\u003ep\u0026lt;\u003c/em\u003e0.001), and duration of POD (Spearman \u003cem\u003er\u003c/em\u003e=0.442, \u003cem\u003ep\u003c/em\u003e=0.006), and\u0026nbsp;negatively correlated with\u0026nbsp;postoperative CSF\u0026nbsp;A\u0026beta;\u003csub\u003e42\u0026nbsp;\u003c/sub\u003e(Spearman \u003cem\u003er\u003c/em\u003e=-0.219, \u003cem\u003ep\u003c/em\u003e=0.048), duration of education (Spearman \u003cem\u003er\u003c/em\u003e=-0.271, \u003cem\u003ep\u003c/em\u003e=0.01),\u0026nbsp;the correct numbers\u0026nbsp;of\u0026nbsp;postoperative\u0026nbsp;neuropsychological tests (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.05) and\u0026nbsp;score of TICS-M\u0026nbsp;(\u003cem\u003ep\u003c/em\u003e\u0026lt;0.05).\u0026nbsp;\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFactors associated with postoperative CSF sTREM2 values\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFactors\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCorrelation Coefficient\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCSF Aβ\u003csub\u003e42\u003c/sub\u003e postop (ng/ml)\u003c/p\u003e \u003cp\u003eCSF P-tau postop (pg/ml)\u003c/p\u003e \u003cp\u003eCSF T-tau postop (pg/ml)\u003c/p\u003e \u003cp\u003eCSF Aβ\u003csub\u003e42\u003c/sub\u003e/T-tau ratio postop\u003c/p\u003e \u003cp\u003eCSF sTREM2 preop (pg/ml)\u003c/p\u003e \u003cp\u003eSerum sTREM2 postop (pg/ml)\u003c/p\u003e \u003cp\u003eAge (yr)\u003c/p\u003e \u003cp\u003eDuration of education (yr)\u003c/p\u003e \u003cp\u003eDuration of POD (d)\u003c/p\u003e \u003cp\u003eDSFT preop (n)\u003c/p\u003e \u003cp\u003eDSFT postop 3d (n)\u003c/p\u003e \u003cp\u003eDSFT postop 7d (n)\u003c/p\u003e \u003cp\u003eDSBT preop (n)\u003c/p\u003e \u003cp\u003eDSBT postop 3d (n)\u003c/p\u003e \u003cp\u003eDSBT postop 7d (n)\u003c/p\u003e \u003cp\u003eRAVLT preop (n)\u003c/p\u003e \u003cp\u003eRAVLT postop 3d (n)\u003c/p\u003e \u003cp\u003eRAVLT postop 7d (n)\u003c/p\u003e \u003cp\u003eSDMT preop (n)\u003c/p\u003e \u003cp\u003eSDMT postop 3d (n)\u003c/p\u003e \u003cp\u003eSDMT postop 7d (s)\u003c/p\u003e \u003cp\u003eSCWT-A preop (s)\u003c/p\u003e \u003cp\u003eSCWT-A postop 3d (s)\u003c/p\u003e \u003cp\u003eSCWT-A postop 7d (s)\u003c/p\u003e \u003cp\u003eSCWT-B preop (s)\u003c/p\u003e \u003cp\u003eSCWT-B postop 3d (s)\u003c/p\u003e \u003cp\u003eSCWT-B postop 7d (s)\u003c/p\u003e \u003cp\u003eSCWT-C preop (s)\u003c/p\u003e \u003cp\u003eSCWT-C postop 3d (s)\u003c/p\u003e \u003cp\u003eSCWT-C postop 7d (s)\u003c/p\u003e \u003cp\u003eTICS-M postop 1m\u003c/p\u003e \u003cp\u003eTICS-M postop 3m\u003c/p\u003e \u003cp\u003eTICS-M postop 6m\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.219\u003c/p\u003e \u003cp\u003e0.204\u003c/p\u003e \u003cp\u003e-0.040\u003c/p\u003e \u003cp\u003e-0.181\u003c/p\u003e \u003cp\u003e0.055\u003c/p\u003e \u003cp\u003e0.381\u003c/p\u003e \u003cp\u003e0.459\u003c/p\u003e \u003cp\u003e-0.271\u003c/p\u003e \u003cp\u003e0.442\u003c/p\u003e \u003cp\u003e0.004\u003c/p\u003e \u003cp\u003e-0.377\u003c/p\u003e \u003cp\u003e-0.403\u003c/p\u003e \u003cp\u003e0.066\u003c/p\u003e \u003cp\u003e-0.356\u003c/p\u003e \u003cp\u003e-0.403\u003c/p\u003e \u003cp\u003e-0.288\u003c/p\u003e \u003cp\u003e-0.383\u003c/p\u003e \u003cp\u003e-0.513\u003c/p\u003e \u003cp\u003e-0.019\u003c/p\u003e \u003cp\u003e-0.510\u003c/p\u003e \u003cp\u003e-0.457\u003c/p\u003e \u003cp\u003e0.174\u003c/p\u003e \u003cp\u003e0.391\u003c/p\u003e \u003cp\u003e0.524\u003c/p\u003e \u003cp\u003e0.025\u003c/p\u003e \u003cp\u003e0.498\u003c/p\u003e \u003cp\u003e0.557\u003c/p\u003e \u003cp\u003e0.001\u003c/p\u003e \u003cp\u003e0.387\u003c/p\u003e \u003cp\u003e0.427\u003c/p\u003e \u003cp\u003e-0.393\u003c/p\u003e \u003cp\u003e-0.480\u003c/p\u003e \u003cp\u003e-0.373\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.048\u003c/p\u003e \u003cp\u003e0.067\u003c/p\u003e \u003cp\u003e0.72\u003c/p\u003e \u003cp\u003e0.103\u003c/p\u003e \u003cp\u003e0.624\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.01\u003c/p\u003e \u003cp\u003e0.006\u003c/p\u003e \u003cp\u003e0.97\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.56\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.009\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.86\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.12\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.82\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.99\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eCorrelation coefficients represent non-parametric Spearman's Rho correlation coefficients; Test results are either number correct (n) or time taken (s);\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eCSF, cerebrospinal fluid; sTREM2, soluble triggering receptor expressed on myeloid cells 2; Aβ\u003csub\u003e42\u003c/sub\u003e, β-amyloid 42; P-tau, phosphorylated tau; T-tau, total tau; preop, preoperative; postop 3d, postoperative day 3; postop 7d, postoperative day 7; postop 1m, 1 month after surgery; postop 3m, 3 month after surgery; postop 6m, 6 month after surgery; POD, postoperative delirium; DSFT, Digit Span Forward Test; DSBT, Digit Span Backward Test; RAVLT, Rey Auditory Verbal Learning Test; SDMT, Symbol Digit Modalities Test; SCWT, Stroop Color Word Test.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e\u003cb\u003eUnivariate and Multivariate Logistic Regression Analysis\u003c/b\u003e\u003c/p\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eSeven potential risk factors of POCD were identified by univariate logistic regression analysis, including postoperative CSF sTREM2, Aβ\u003csub\u003e42\u003c/sub\u003e, Aβ\u003csub\u003e42\u003c/sub\u003e/T-tau ratio, serum sTREM2, age, duration of POD and education (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). The relationship between POCD and risk factors was determined by multivariable logistic regression analysis. After adjustment of potential factors, postoperative CSF sTREM2 (odds ratio: 1.06, 95% confidence interval: 1.02\u0026ndash;1.11, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.009), age (OR: 1.15, 95%CI: 1.03\u0026ndash;1.28, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.014) and POD duration (OR: 2.47, 95%CI: 1.15\u0026ndash;5.29, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020) were the influencing factors of POCD (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/td\u003e\u003c/tr\u003e \u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eOur study investigated the relationship between sTREM2 and POCD in the patients undergoing thoracoabdominal aortic surgery. This study demonstrated that the level of CSF sTREM2 was significantly increased in the subjects who developed POCD on postoperative day 3. Elevated CSF sTREM2 was associated with an increased risk of POCD in the patients with cardiac surgery.\u003c/p\u003e \u003cp\u003eDespite improvements in surgical and anesthetic techniques, POCD in cardiac surgery patients is still highly prevalent. Relander et al. reported that POCD was observed in 71% of patients 1 week postoperatively and in 47% of elderly patients 3 months after cardiac surgery [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Our study illustrated that the incidence of POCD was 24.4% on postoperative day 7 and 17.1% at 3 months in the patients undergoing thoracoabdominal aortic surgery. The difference for the incidence of POCD in these studies is probably due to the diverse neuropsychological tests and the statistical methodology, as well as the fact that to date there is no universally accepted definition of POCD. Previous studies indicated an association between POD and subsequent POCD in elderly patients undergoing orthopedic surgery [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] and cardiac surgery [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. A higher incidence and a longer duration of POD were observed in the patients who developed POCD in this study.\u003c/p\u003e \u003cp\u003eThere is no internationally accepted definition for POCD. Neuropsychological testing battery is required to evaluate postoperative cognitive function reliably. The precise and inclusive neuropsychological tests were applied in this study, including MMSE, SDMT, DFST, DSBT, RAVLT, SCWT, CAM-ICU, TICS-M and ADLs, which allowed to detect slight changes in cognitive function characteristic of POCD. Consistent with previous studies, the definition of POCD was based on Z-score in this study [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe present study demonstrated that elevated level of CSF sTREM2 was correlated with an increased risk of developing POCD in the patients undergoing thoracoabdominal aortic surgery. A growing number of studies demonstrated that CSF sTREM2 was increased in the late-onset AD [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e] and early-onset familial AD [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. The upregulation of CSF sTREM2 was associated with the increased risk of dementia [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. A study by Tanaka et al reported that elevated sTREM2 was related to cognitive impairment in non-obese diabetic patients [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. This study indicated that CSF sTREM2 was associated with cognitive impairment after thoracoabdominal aortic replacement surgery. These findings indicate that elevated CSF sTREM2 may be a potential therapeutic target of POCD.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eThe underlying mechanism for the relationship between sTREM2 and POCD remains unknown. One explanation is that CSF sTREM2 elevation reflects sTREM2-mediated microglial activation and acute neuroinflammation. A solid relationship between neuroinflammation and POCD has been reported in orthopedic patients, which fully demonstrates the critical role of neuroinflammation in POCD development [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Microglial activation and subsequent neuroinflammatory response frequently accompanies the early progress of Aβ accumulation, tau pathology, cerebrovascular injury and cognitive impairment [\u003cspan additionalcitationids=\"CR35 CR36 CR37\" citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Our previous study demonstrated that microglial activation and neuroinflammation involved in the progression of POCD [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. CSF sTREM2 was increased in AD and considered as a biomarker of microglia activation and neuroinflammation [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Consistent with previous study, this study indicated that POCD development was associated with sTREM2-mediated neuroinflammatory response.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003esTREM2 is produced by ectodomain shedding of its receptor, which simultaneously produces peptides that reduce the activity of full-length receptor TREM2 [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Our previous study demonstrated that partial hepatectomy downregulated TREM2 expression in APPswe/PS1dE9 mice, coupled with postoperative spatial learning and memory impairment [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Thus, the increased level of CSF sTREM2 in the patients with POCD might indirectly reflect that the activity of TREM2 was inhibited following surgery challenge.\u003c/p\u003e \u003cp\u003eExploring relationship between CSF biomarkers and POCD may provide better understanding of pathogenic mechanism by hinting to simultaneously ongoing processes in the brain [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Previous studies indicated that the neuropathogenesis of AD was involved in POCD, particularly in elderly subjects [\u003cspan additionalcitationids=\"CR44 CR45 CR46\" citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Aβ is generally considered to be associated with POCD [\u003cspan additionalcitationids=\"CR49\" citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Tau, the main protein component of the neurofibrillary tangles of synapses, has been linked to cognitive dysfunction [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. A pilot study demonstrated that cognitive decline was related to the reduction of CSF Aβ\u003csub\u003e42\u003c/sub\u003e in 6 months after cardiac surgery [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. TREM2 and Aβ precursor protein share common features of ectodomain shedding by ADAMs α-secretase and subsequent γ-secretase cleavage, which suggests the existence of both common biological processes involved in Aβ and sTREM2 [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. The current study demonstrated that CSF sTREM2 was positively corrected with serum sTREM2 and negatively associated with CSF Aβ\u003csub\u003e42\u003c/sub\u003e in the patients with POCD. Thus, a combination of CSF sTREM2 and other POCD biomarkers may provide reliable and convenient predictor of POCD.\u003c/p\u003e \u003cp\u003eThere are some limitations in this study. Firstly, the sample size is relatively small and more large-scaled multicenter studies are required to determine the predictive value of sTREM2 for POCD. Secondly, the sample of CSF was not obtained conveniently and CSF sTREM2 could not measure routinely in the clinical practice. Finally, this study only investigated short-term follow-up outcome. Longer-term follow-up is needed to validate the role of sTREM2 in the progression of POCD.\u003c/p\u003e \u003cp\u003eIn conclusion, surgery and anesthesia significantly enhanced CSF sTREM2 expression. The elevated CSF sTREM2 is associated with an increased risk of POCD. This finding may provide valuable mechanistic insights into the etiology of POCD. Thus, a combination of CSF sTREM2 and other POCD predictors may be reliable to identify high-risk persons of POCD.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study protocol was approved by the Ethics Committee of the First Affiliated Hospital of China Medical University (2020-302-2) and registered in Chinese Clinical Trial Registry Centre (Registration No. ChiCTR2000038634). Informed consent was obtained from all patients. All methods were performed in accordance with the relevant guidelines and regulations\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll the authors approved publication.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of Data and Material (ADM)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have no relevant financial or non-financial interests to disclose.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by National Natural Science Foundation of China [grant number 81300938]，National Key Research and Development Program of China [grant number SQ2018YFC200044].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Kexin Wang, Xuezhao Cao, Zhe Li, Sidan Liu and Lili Guo. Figures were made by Yongjian Zhou, Pengli Li. The first draft of the manuscript was written by Kexin Wang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgment\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank all the patients for taking part into the study. We thank Dr. Zhe Li and Dr. Xuezhao Cao for providing help for this clinic trial.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eNewman M, Kirchner J, Phillips-Bute B, Gaver V, Grocott H, Jones R. Longitudinal assessment of neurocognitive function after coronary-artery bypass surgery. N Engl J Med. 2001;344(6):395\u0026ndash;402.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHogue C, Gottesman R, Stearns J. 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J Alzheimers Dis. 2010;21(4):1153\u0026ndash;64.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eO'Brien R, Wong P. Amyloid precursor protein processing and Alzheimer's disease. Annu Rev Neurosci. 2011;34:185\u0026ndash;204.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-anesthesiology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bane","sideBox":"Learn more about [BMC Anesthesiology](http://bmcanesthesiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bane","title":"BMC Anesthesiology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"sTREM2, POCD, Aβ42, T-tau, P-tau, Aβ42/T-tau ratio","lastPublishedDoi":"10.21203/rs.3.rs-2075679/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2075679/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eSoluble triggering receptor expressed on myeloid cells 2 (sTREM2) concentration is increased in cerebrospinal fluid (CSF) in early symptomatic phase of Alzheimer\u0026rsquo;s disease (AD). This study investigated whether CSF sTREM2 has a relationship with postoperative cognitive dysfunction (POCD) in cardiac surgery patients.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA total of 82 patients undergoing thoracoabdominal aortic replacement were recruited in this study. Neuropsychological testing battery was conducted before and after surgery. POCD was defined as a Z-score\u0026thinsp;\u0026gt;\u0026thinsp;1.96 on at least 2 different tests or Telephone Interviews for Cognitive Status-Modified (TICS-M) score\u0026thinsp;\u0026lt;\u0026thinsp;27. The CSF and serum sTREM2, Aβ\u003csub\u003e42\u003c/sub\u003e, T-tau and P-tau were collected and measured by ELISA on day before surgery and postoperative day 3.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003ePatients were classified into POCD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;34) and non-POCD (\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;48) groups according to Z-score. Compared to non-POCD group, the levels of CSF sTREM2 (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and serum sTREM2 (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001) were significantly higher in POCD group on postoperative day 3, the levels of Aβ\u003csub\u003e42\u003c/sub\u003e (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) and Aβ\u003csub\u003e42\u003c/sub\u003e/T-tau ratio (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.036) were significantly lower in POCD group on postoperative day 3. Multivariate logistic regression analysis revealed that higher value of postoperative CSF sTREM2 (odds ratio: 1.06, 95% confidence interval: 1.02\u0026ndash;1.11, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.009), age (OR: 1.15, 95%CI: 1.03\u0026ndash;1.28, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.014) and POD duration (OR: 2.47, 95%CI: 1.15\u0026ndash;5.29, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.02) were the influencing factors of POCD.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThis study indicates that elevated CSF sTREM2 is associated with an increased risk of early POCD.\u003c/p\u003e","manuscriptTitle":"Elevated cerebrospinal fluid sTREM2 is associated with postoperative cognitive dysfunction after thoracoabdominal aortic dissection surgery","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-10-12 16:50:47","doi":"10.21203/rs.3.rs-2075679/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2022-11-04T12:36:34+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2022-10-31T12:45:08+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2022-10-23T15:58:00+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"a397b7be-0328-4fc8-bfa5-c8749b5af25d","date":"2022-10-10T15:54:51+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"62a83903-482c-4bb6-b182-4c5132c7e8cf","date":"2022-10-10T15:21:37+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2022-10-10T15:17:33+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2022-10-08T20:53:27+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2022-10-08T12:14:20+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2022-10-08T12:13:03+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Anesthesiology","date":"2022-09-17T13:26:08+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-anesthesiology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bane","sideBox":"Learn more about [BMC Anesthesiology](http://bmcanesthesiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bane","title":"BMC Anesthesiology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"7e2fbb08-c652-48f7-b412-ac80a1e705a1","owner":[],"postedDate":"October 12th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2023-10-16T18:10:42+00:00","versionOfRecord":{"articleIdentity":"rs-2075679","link":"https://doi.org/10.1186/s12871-022-01955-4","journal":{"identity":"bmc-anesthesiology","isVorOnly":false,"title":"BMC Anesthesiology"},"publishedOn":"2022-12-31 18:07:52","publishedOnDateReadable":"December 31st, 2022"},"versionCreatedAt":"2022-10-12 16:50:47","video":"","vorDoi":"10.1186/s12871-022-01955-4","vorDoiUrl":"https://doi.org/10.1186/s12871-022-01955-4","workflowStages":[]},"version":"v1","identity":"rs-2075679","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2075679","identity":"rs-2075679","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}