This study was aimed to establish a rapid discrimination method of Pinellia ternataand its adulterants based on the odour fingerprints analysis.Typhonium flagelliforme and Arisaema Rhizome,which were the common adulterants of Pinellia ternata,were collected.The adulterants were mixed with Pinellia ternatain different proportions.E-nose technology was used to obtain the odour fingerprints of Pinellia ternataand its adulterants of different types and proportions.Chemometrics methods,such as the analysis of variance (ANOVA),principal component analysis (PCA) and discriminant factor analysis (DFA) were used in the analysis and discrimination on sensors response data collected by sensors.The results showed that there were obvious differences on the odour characteristics between Pinellia ternateand its adulterants.PCA can obviously discriminate Pinellia ternateand its adulterants.And the odour difference became obvious along with the increasing of the adulteration proportion.There was a linear relationship between e-nose signal and the proportion of Typhonium flagelliforme.The cumulative proportion in ANOVA of the DFA model was 100%.The correct recognition rate was not less than 97%.It was concluded that e-nose can be used for rapid discrimination of Pinellia ternataand its adulterants.This study provided new technology and method for the discrimination of adulterants of Chinese materia medica.

Objective To analyze the long-term curative effect of radical surgery for Budd-Chiari syndrome and the postoperative recurrence risk factors.Method Clinical data of 83 patients treated with radical surgery for Budd-Chiari syndrome through exposure of the entire inferior vena cava of the hepatic segment at Peking University People's Hospital between Jul 2001 and Dec 2010 was studied.Survival rate,patency rate of the inferior vena cava and hepatic vein,and risk factors were analyzed.Results There were 5 perioperative deaths with a mortality rate of 6％.Child-Pugh C liver function (P =0.001) was independently related to the perioperative death.The mean follow-up time was 84 ± 35 (60-173)months.There were 8 patients (10.3％) lost to follow-up.10 patients (12.8％) died during follow-up.Child-Pugh C liver function (P =0.003) was independently related to the follow-up death.24 cases (40％) suffered from recurrence with inferior vena cava restenosis in 12 cases (20％),that of hepatic vein in 2 cases (3.3％),and 10 cases (16.7％)with both inferior vena cava and hepatic vein restenosis.Membranous lesion of inferior vena cava (P =0.004) and inadequate anticoagulation time (P =0.004) were independently related to the recrudescence.Conclusions Long term recurrence of Budd-Chiari syndrome after radical surgery through exposure of the entire inferior vena cava of the hepatic segment is related to membranous lesion of inferior vena cava and inadequate anticoagulation time.

Objective To investigate the risk factors of infection after hepatectomy for liver cancer, and to establish and validate a risk prediction model. Methods The clinical data of 167 patients with primary liver cancer who underwent hepatectomy in People's Hospital of Wuhan University from January 2020 to March 2022 were retrospectively collected. All patients were divided into postoperative infection group ( n =28) and non-infection group ( n =139) according to whether postoperative infection complications occurred. The t -test or Mann-Whitney U test was used for comparison of continuous data between two groups and the chi-square test was used for comparison of categorical data between two groups. Univariate analysis and logistic regression analysis were used to screen the risk factors of infection after hepatectomy for hepatocellular carcinoma, and a nomogram risk prediction model for postoperative infection was established. All patients were randomly divided into training cohort ( n =119) and the validation cohort ( n =48) according to the ratio of 7∶ 3, the Bootstrap method was used for internal validation of the model, and the model calibration curve and ROC curve were used to evaluate the calibration and discrimination of the nomogram model. Results Postoperative infection occurred in 28 of 167 patients (16.8%). Logistic regression analysis showed that diabetes, CONUT score ≥4 points, preoperative NLR, operation time, intraoperative blood loss, and drainage tube placement time > 7 d were independent risk factors for infection after hepatectomy for liver cancer (all P < 0.05). Based on the nomogram constructed from the above six risk factors, the area under the ROC curve of the training cohort and the validation cohort was 0.848, and 0.853, respectively. The calibration curve of the nomogram model shows that the predicted value is basically consistent with the actual observed value, indicating that the accuracy of the nomogram model prediction is better. Conclusion The individualized nomogram risk prediction model based on diabetes, CONUT score ≥4 points, preoperative NLR, operation time, intraoperative blood loss, and drainage tube placement time > 7 d has good predictive performance and has high predictive value for high-risk patients.

Objective To analyze the serological markers and surgical indicators associated with biliary complications after orthotopic liver transplantation, explore their influencing factors and predictive indicators. Methods A retrospective analysis was performed for the clinical data of 101 patients who underwent orthotopic liver transplantation in Renmin Hospital of Wuhan University from January 2016 to June 2022, according to the presence or absence of biliary complication (BC) at 6 months after surgery, they were divided into BC group with 21 patients and non-BC group with 80 patients.The t -test or the Mann-Whitney U test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups.Univariate and multivariate Logistic regression analyses were performed, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of combined indicators. Results Among the 101 patients, 21(20.8%) experienced BC.The multivariate Logistic regression analysis showed that MELD score (odds ratio[ OR ]=0.134, 95% confidence interval[ CI ]: 0.031-0.590, P =0.008), SⅡ/Alb ( OR =1.415, 95% CI : 1.181-1.696, P =0.001), and plasma transfusion volume ( OR =1.001, 95% CI : 1.000-1.002, P =0.032) were independent risk factors for the development of BC in patients after liver transplantation.MELD score, SⅡ/Alb, plasma transfusion volume, MELD+SⅡ/Alb, and MELD+SⅡ/Alb+plasma transfusion volume had an area under the ROC curve of 0.712, 0.870, 0.712, 0.900, and 0.918, respectively, in predicting BC after liver transplantation. Conclusion SⅡ/Alb, plasma transfusion volume and MELD score are independent risk fators for BC after liver transplantation.The combination of three indicators has good predictive value and clinical guiding significance for BC after liver transplantation.