Histidine-tryptophan-ketoglutarate solution versus University of Wisconsin solution in adult-to-adult living donor liver transplantation: A propensity score matching analysis from mainland China.

ABSTRACT: To compare the difference between University of Wisconsin (UW) solution and histidine-tryptophan-ketoglutarate (HTK) solution in adult living donor liver transplantation (LDLT).This study included LDLT patients at the Liver Transplantation Center of West China Hospital of Sichuan University from November 2001 to June 2018. These patients were classified into 2 groups depending on the use of the different preservation solutions, and the confounding factors between the 2 groups were eliminated by propensity score matching. Finally, the incidence of complications; serum examination at postoperative days 1, 3, 5, 7, 14, 21, and 30; and the overall survival rate of the 2 groups were compared to observe whether there were any differences between the 2 preservation solutions.Of the 298 patients we screened, 170 were treated with UW solution and 128 with HTK solution. After propensity score matching, 106 pairs of patients were selected. In the comparison of the 2 groups, the length of intensive care unit stay in the UW group was significantly longer than that in the HTK group (P = .022), but there was no difference in the total length of hospital stay between the 2 groups (P = .277). No statistically significant difference was observed in the 2 groups in terms of the incidence of complications or postoperative examinations. However, the incidence of early allograft dysfunction in the HTK group was slightly lower than that in the UW group (HTK: UW = 14.1%: 20.7%), although the difference was not statistically significant. In terms of the overall survival rate, the 1, 3, and 5-year survival rates of the HTK group were 85.5%, 70.2%, and 65.1%, respectively, while the 1, 3, and 5-year survival rates of the UW group were 83.1%, 67.2%, and 59.8%, respectively, and there was no significant difference between the 2 groups.In conclusion, our study shows that UW solution and HTK solution are equivalent in perioperative safety, the recovery of transplanted liver function, the occurrence of postoperative complications and overall survival and can be safely and effectively applied in adult LDLT. If economic factors are taken into account, HTK can save costs to a certain extent.

Gamma-glutamyl transpeptidase-to-platelet ratio and the fibrosis-4 index in predicting hepatitis B virus-related hepatocellular carcinoma development in elderly chronic hepatitis B patients in China: A single-center retrospective study.

Gamma-glutamyl transpeptidase-to-platelet ratio (GPR) and fibrosis-4 (FIB-4) index have been reported to be useful predictors in predicting hepatocellular carcinoma (HCC) development in chronic hepatitis B (CHB) patients. However, their predictive performances on HCC development have not been validated in elderly patients. Thus, the aim of this study was to evaluate the predictive values of the GPR and FIB-4 index on HCC in elderly CHB patients with in China.Between January 2007 and December 2016, 1011 CHB patients older than 60 years were enrolled in the study, and their data were retrospectively analyzed. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal cutoff points of GPR and the FIB-4 index. Cumulative HCC incidence rates were calculated by the Kaplan-Meier method and compared by the log-rank test. Univariate and multivariate analyses were performed to detect risk factors for HCC development. The prediction performances of GPR and FIB-4 index were compared based on time-dependent ROC analyses.After a median follow-up of 6.8 (interquartile range 3.9-8.4) years, 39 (3.9%) patients developed HCC. The ROC analysis of GPR and the FIB-4 index at the 5-year time point revealed that the optimal cutoff point was 0.23 for GPR and 4.15 for the FIB-4 index. When stratified by low and high GPR values and FIB-4 indices, the patients' subgroups showed significantly different cumulative incidences of HCC. The multivariate analysis revealed that high GPR (hazard ratio [HR] 4.224; 95% confidence interval [CI] 1.891-9.434, P < .001) was an independent risk factor for HCC development, whereas a high FIB-4 index was not (HR 0.470; 95% CI 0.212-1.043; P = .063). In the time-dependent ROC analysis, GPR showed higher area under curve (AUC) values than the FIB-4 index did at all time points and reached statistical significance at the 5-, 7-, and 10-year time points (GPR vs FIB-4 index, AUC 0.725 vs 0.549 at 5 years, P = .005; GPR vs FIB-4 index, AUC 0.733 vs 0.578 at 7 years, P = .001; GPR vs FIB-4 index, AUC 0.837 vs 0.475 at 10 years, P < .001).In conclusion, our study suggests GPR is superior to the FIB-4 index in predicting HCC development in elderly CHB patients in China.

[Analysis of influence factors of cognitive impairment following first onset of stroke].

OBJECTIVE: To explore the influence factors of cognitive impairment following first onset of stroke, in order to predict the existence of cognitive impairment in patients with stroke and help for future clinical intervene. METHODS: 364 survivors of first onset of stroke were evaluated by the mini-mental state examination (MMSE) in this study. Data were collected on age, gender, education level, location of brain lesion, diagnostic stroke subtype and so on. Logistic regressions analyzing is used to determine those factors that could predict cognitive impairment of stroke patients by MMSE assessment score. RESULTS: The factors including location of brain lesion, area of the lesion, high homocysteine, side of the lesion, complications, education level and age can join in the logistic regression analysis format. The R of the format is 0.849 and these seven factors can explain 72.1% variation of the scores of MMSE. CONCLUSION: The logistic regression analysis revealed that location of brain lesion, area of the lesion, high homocysteine, side of the lesion, complications, education level and age were predictors of the cognition function assessment of stroke patients. The prevalence of cognitive impairment can be mainly influenced by these factors.