Résumé
Objective:To investigate the risk factors for common bile duct calculi recurrence and application value of its prediction model after endoscopic retrograde cholangiopancreato-graphy (ERCP) .Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 506 patients with common bile duct calculi who were admitted to the First Hospital of Lanzhou University from January 2015 to December 2017 for ERCP routine treatment were collected. There were 251 males and 255 females, aged (59±15)years. Patients received ERCP for common bile duct calculi. Observation indicators: (1) clinicopathological data of patients with common bile duct calculi; (2) risk factors for common bile duct calculi recurrence after ERCP; (3) establishment of prediction model for common bile duct calculi recurrence after ERCP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Count data were represented as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analysis were conducted using the COX proportional hazard model. The prediction model for the recurrence of common bile duct stones after ERCP was established according to the coefficient of regression equation. The receiver operating characteristic curve(ROC) was drawed for efficiency evaluation with area under curve (AUC). Results:(1) Clinicopathological data of patients with common bile duct calculi: 104 of 506 patients with common bile duct calculi had recurrence and 402 had no recurrence. There were significant differences in the age, hyperlipidemia, common bile duct diameter, distal bile duct stricture, the number of calculi, gallbladder status, history of biliary tract surgery, endoscopic spinecterotomy, postoperative drainage mode between patients with and without recurrence ( Z=?2.844, χ2=6.243, Z=?2.897, χ2=11.631, 4.617, 16.589, 18.679, 2.070, 50.274, P<0.05). (2) Risk factors for common bile duct calculi recurrence after ERCP: Results of univariate analysis showed that age, time of first attack, hyperlipidemia, common bile duct diameter, distal bile duct stricture, the number of calculi, the maximum calculi diameter, gallbladder status, history of biliary tract surgery and postoperative biliary drainage mode were related factors for common bile duct calculi recurrence after ERCP ( hazard ratio=1.656, 2.179, 1.712, 1.657, 2.497, 1.509, 1.971, 2.635, 3.649,95% confidence interval as 1.113?2.463, 1.135?4.184, 1.122?2.644, 1.030?2.663, 1.501?4.154, 1.025?2.220, 1.122?3.464, 1.645?4.221, 1.575?8.456, P<0.05). Results of multivariate analysis showed that time of first attack <30 days, hyperlipidemia, distal bile duct stricture, history of biliary tract surgery and postoperative biliary drainage mode as cholangiopancreatic stent were independent risk factors for common bile duct calculi recurrence after ERCP ( hazard ratio=2.332, 1.676, 2.088, 2.566, 3.712, 95% confidence interval as 1.089?4.998, 1.060?2.649, 1.189?3.668, 1.456?4.521, 1.296?10.635, P<0.05). (3) Establishment of prediction model for common bile duct calculi recurrence after ERCP: based on multivariate analysis, indicators including time of first attack <30 days, hyperlipidemia, distal bile duct stricture, history of biliary tract surgery and postoperative biliary drainage mode as cholangiopancreatic stent were included into the coefficient of regression equation, and the prediction model for common bile duct calculi recurrence after ERCP was established: ln[(λ(t))/(λ 0(t))]=0.847×time of first attack+0.516×hyperlipidemia+0.736×distal bile duct stricture+0.942×history of biliary tract surgery+1.312×cholangiopancreatic stent. The perfor-mance evaluation showed that the AUC of ROC of prediction model was 0.757 (95% confidence interval as 0.713?0.811, P<0.05), and the optimal cut-off value was 1.41, the sensitivity and specificity were 69.2% and 72.9% respectively. Conclusions:The time of first attack <30 days, hyperlipidemia, distal bile duct stricture, history of biliary tract surgery and postoperative biliary drainage mode as cholangiopancreatic stent are independent risk factors for common bile duct calculi recurrence after ERCP. Patients with evaluation score >1.41 in prediction model were at high risk for common bile duct calculi recurrence after ERCP.
Résumé
ObjectiveTo investigate the accuracy of three laparoscopic liver resection (LLR) difficulty score systems (DSSs) in evaluating surgical difficulty and predicting short-term postoperative outcome. MethodsThe retrospective cohort study was conducted for 142 patients who underwent LLR in The First Hospital of Lanzhou University from June 2015 to May 2020, and their preoperative, intraoperative, and postoperative clinical data were collected. According to preoperative clinical data, DSS-B score, Hasegawa score, and Halls score were used to determine the difficulty score of surgery for each patient, and then the patients were divided into low, medium, and high difficulty groups. Intraoperative data were compared between the three groups to verify the accuracy of the three DSSs, and postoperative clinical data were used to evaluate the ability of DSSs to predict short-term postoperative outcome. An analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups; the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple or two groups. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups, and the Bonferroni method was used for correction of P values between two groups. The receiver operating characteristic (ROC) curve was plotted and the area under the ROC curve (AUC) was calculated to evaluate the efficiency of each DSS in predicting postoperative complications. ResultsAmong the 142 patients, there were 37 patients in the low difficulty group, 56 in the medium difficulty group, and 49 in the high difficulty group based on DSS-B score; there were 70 patients in the low difficulty group, 47 in the medium difficulty group, and 25 in the high difficulty group based on Hasegawa score; there were 46 patients in the low difficulty group, 62 in the medium difficulty group, and 34 in the high difficulty group based on Halls score. For the low, medium, and high difficulty groups based on DSS-B score, Hasegawa score, or Halls score, time of operation, intraoperative blood loss, and rate of hepatic portal occlusion increased with the increase in difficulty score (all P＜0.001); there was a significant difference in intraoperative blood transfusion rate between the medium and high difficulty groups based on DSS-B score (P＜0.017), between the low and high difficulty groups based on Halls score (P＜0.017), and between the low, medium, and high difficulty groups based on Hasegawa score (P＜0.017). There was a significant difference in the rate of conversion to laparotomy between the medium and high difficulty groups based on DSS-B score (P＜0.017), and Hasegawa score and Halls score identified the difference between the low and high difficulty groups (P＜0.017). For the length of postoperative hospital stay, DSS-B score and Halls score only identified the difference between the low and high difficulty groups (P＜0.05), while Hasegawa score identified the difference between the low difficulty group and the medium/high difficulty groups (P＜0.05); for the incidence rate of postoperative complications, only Hasegawa score effectively identified the difference between the high difficulty group and the low/medium difficulty groups (P＜0.017). DSS-B score, Halls score, and Hasegawa score had an AUC of 0.636 (95% confidence interval ［CI］: 0.515-0.758), 0.557 (95% CI: 0.442-0.673), and 0.760 (95% CI: 0.654-0.866), respectively, in predicting postoperative complications, among which Hasegawa score had the highest predictive efficiency. ConclusionDSS-B score and Hasegawa score can better assess the difficulty of LLR, and Hasegawa score has an advantage in predicting short-term postoperative outcome.
Résumé
Objective: To explore the core composition and compatibility features of Ershiwuwei Songshi pills in the treatment of liver disease, in order to provide ideas and methods for the optimization of Tibetan medicine prescriptions and the creation of new medicine. Methods: In this study, I checked common prescriptions for the treatment of liver diseases from the Tibetan Medical Classics, such as Four Medical Classics, Xin Xiu Jing Zhu Ben Cao, etc., summarizing the flavor, nature and efficacy of the 25 herbs in Ershiwuwei Songshi pill, and analyzing the compatibility features of flavor and of nature and efficacy of the 25 herbs in Ershiwuwei Songshi pill. And I also sorted out 21 common prescriptions for the treatment of liver diseases in the Tibetan Medical formula, counting and analyzing the using frequency of the ingredient medicine of Ershiwuwei Songshi pill in the 21 Tibetan medical formula for the treatment of liver and the compatibility frequency. Conclusion: The results show that Ershiwuwei Songshi pills are composed of a heat clearing formula, mainly for the treatment of heat liver diseases.