Ductular reaction （DR） refers to the adaptive pathological changes that occur after hepatobiliary injury， and it is essentially a repair response involving the proliferation， fibrosis， and inflammation of biliary epithelial cell （BEC）. With the understanding of the biological function of BEC， the potential value of DR in disease prognosis and treatment has gradually become a research hotspot. This article systematically reviews the molecular mechanism of DR， its potential as a therapeutic target， and future development directions， as well as novel therapies suggested by targeting these molecular mechanisms， in order to provide a new direction for overcoming current bottlenecks in the treatment of bile duct diseases.

ObjectiveTo investigate the association between neutrophil-to-lymphocyte and platelet ratio （NLPR） and recompensation in patients with hepatitis B cirrhotic ascites， and to establish an individualized risk prediction model. MethodsThe patients with hepatitis B cirrhotic ascites who were hospitalized in Department of Gastroenterology， The General Hospital of Western Theater Command of Chinese PLA， from January 2015 to December 2022 were enrolled. General information and laboratory markers were collected， and NLPR was calculated. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the chi-square test with correction was used for comparison of categorical data between two groups. The subjects were randomly divided into a training set and a validation set at a ratio of 7∶3. In the training set， univariate and multivariate binary Logistic regression analyses were used to investigate the independent influencing factors for recompensation in patients with hepatitis B cirrhotic ascites， and a nomogram was established； the receiver operating characteristic （ROC） curve was used to assess the value of the new model in predicting recompensation in patients with hepatitis B cirrhotic ascites， and the Delong test was used for comparison of the area under the ROC curve （AUC）. The calibration curve and the decision curve were plotted for the model， and the model was assessed in terms of degree of fitting and predictive benefits. ResultsA total of 360 patients were enrolled， among whom134 achieved recompensation. There were 252 patients in the training set and 108 patients in the validation set， and there were no significant differences in baseline characteristics between the two groups （all P>0.05）. The Logistic regression analysis showed that the onset of hepatic encephalopathy （odds ratio ［OR］=0.066， 95% confidence interval ［CI］： 0.008 — 0.545， P=0.012）， NLPR （OR=0.950， 95%CI： 0.912 — 0.989， P=0.012）， alpha-fetoprotein （OR=1.012， 95%CI： 1.005 — 1.020， P<0.001）， and albumin （OR=1.096， 95%CI： 1.031 — 1.166， P=0.003） were independent influencing factors for recompensation in patients with hepatitis B cirrhotic ascites. The above four factors were included in a nomogram predictive model， which had an AUC of 0.776， a sensitivity of 66.5%， and a specificity of 76.3% in the training set and an AUC of 0.746， a sensitivity of 63.4%， and a specificity of 75.7% in the validation set， while Model for End-Stage Liver Disease score， Child-Pugh score， and albumin-bilirubin score had an AUC of 0.574， 0.628， and 0.621， respectively. The nomogram model had a better performance than the other three scores in predicting recompensation in patients with hepatitis B cirrhotic ascites （Z=4.191， 3.369， and 3.527， P<0.001， P=0.001， and P<0.001）. The calibration curve and the decision curve showed that the model had a good degree of fitting， and the decision made using this model could bring net benefits. ConclusionNLPR has a good value in predicting recompensation in patients with hepatitis B cirrhotic ascites， and the nomogram model established can help to predict recompensation in such patients in clinical practice.

Objective To investigate the association of alpha-fetoprotein(AFP)and prealbumin(PAB)with the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure(HBV-ACLF),as well as the difference in 90-day prognosis between the patients with different levels of AFP and PAB.Methods A total of 371 HBV-ACLF patients who were hospitalized in The General Hospital of Western Theater Command from January 2018 to January 2023 were enrolled,and according to the follow-up results on day 90 after discharge,they were divided into survival group with 216 patients and death group with 155 patients.The medical record system was used to collect general data,AFP,PAB,and other related laboratory markers.The t-test was used for comparison of normally distributed continuous data between two groups;a one-way analysis of variance was used for comparison between multiple groups,and the least significant difference t-test was used for comparison between two groups.The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups,and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups.The chi-square test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to identify the influencing factors for the prognosis of HBV-ACLF patients.The receiver operating characteristic(ROC)curve was plotted for AFP and PAB to determine their cut-off values.The Kaplan-Meier method was used to plot survival curves,and the Log-rank test was used for comparison.Results Compared with the death group,the survival group had significantly higher levels of hemoglobin(Hb),PAB,AFP,and platelet count(PLT)(all P<0.05)and significantly lower age,total bilirubin(TBil),white blood cell count(WBC),cystatin,creatinine,urea,international normalized ratio(INR),Model for End-Stage Liver Disease(MELD)score,proportion of patients with Child-Pugh class C,and incidence rates of ascites and hepatic encephalopathy(all P<0.05).The multivariate logistic regression analysis showed that PAB(odds ratio[OR]=0.985,95%confidence interval[CI]:0.972-0.998,P=0.024),AFP(OR=0.998,95%CI:0.996-1.000,P=0.028),PLT(OR=0.989,95%CI:0.982-0.996,P=0.003),age(OR=1.046,95%CI:1.018-1.075,P=0.001),TBil(OR=1.004,95%CI:1.002-1.006,P<0.001),and WBC(OR=1.237,95%CI:1.110-1.379,P<0.001)were independent influencing factors for 90-day prognosis in HBV-ACLF patients.According to the cut-off values of AFP and PAB on ROC curves,the patients were divided into group A with 102 patients(AFP≥73.19 ng/mL and PAB≥22.55 mg/L),group B with 170 patients(AFP≥73.19 ng/mL and PAB<22.55 mg/L;AFP<73.19 ng/mL and PAB≥22.55 mg/L),and group C with 99 patients(AFP<73.19 ng/mL and PAB<22.55 mg/L).There were significant differences between these three groups in age,Hb,INR,MELD score,and Child-Pugh class(all P<0.05).The Kaplan-Meier survival analysis showed that group A had a significantly higher 90-day cumulative survival rate than groups B and C(χ2=19.825,P<0.001).Conclusion AFP combined with PAB can better predict the 90-day prognosis of HBV-ACLF patients,and patients with high levels of AFP and PAB tend to have a lower mortality rate on day 90.

ObjectiveTo investigate the association of alpha-fetoprotein （AFP） and prealbumin （PAB） with the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF）， as well as the difference in 90-day prognosis between the patients with different levels of AFP and PAB. MethodsA total of 371 HBV-ACLF patients who were hospitalized in The General Hospital of Western Theater Command from January 2018 to January 2023 were enrolled， and according to the follow-up results on day 90 after discharge， they were divided into survival group with 216 patients and death group with 155 patients. The medical record system was used to collect general data， AFP， PAB， and other related laboratory markers. The t-test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for comparison between two groups. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups. The chi-square test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify the influencing factors for the prognosis of HBV-ACLF patients. The receiver operating characteristic （ROC） curve was plotted for AFP and PAB to determine their cut-off values. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison. ResultsCompared with the death group， the survival group had significantly higher levels of hemoglobin （Hb）， PAB， AFP， and platelet count （PLT） （all P<0.05） and significantly lower age， total bilirubin （TBil）， white blood cell count （WBC）， cystatin， creatinine， urea， international normalized ratio （INR）， Model for End-Stage Liver Disease （MELD） score， proportion of patients with Child-Pugh class C， and incidence rates of ascites and hepatic encephalopathy （all P<0.05）. The multivariate logistic regression analysis showed that PAB （odds ratio ［OR］=0.985， 95% confidence interval ［CI］： 0.972‍ ‍—‍ ‍0.998， P=0.024）， AFP （OR=0.998， 95%CI： 0.996‍ ‍—‍ ‍1.000， P=0.028）， PLT （OR=0.989， 95%CI： 0.982‍ ‍—‍ ‍0.996， P=0.003）， age （OR=1.046， 95%CI： 1.018‍ ‍—‍ ‍1.075， P=0.001）， TBil （OR=1.004， 95%CI： 1.002‍ ‍—‍ ‍1.006， P<0.001）， and WBC （OR=1.237， 95%CI： 1.110‍ ‍—‍ ‍1.379， P<0.001） were independent influencing factors for 90-day prognosis in HBV-ACLF patients. According to the cut-off values of AFP and PAB on ROC curves， the patients were divided into group A with 102 patients （AFP≥73.19 ng/mL and PAB≥22.55 mg/L）， group B with 170 patients （AFP≥73.19 ng/mL and PAB<22.55 mg/L； AFP<73.19 ng/mL and PAB≥22.55 mg/L）， and group C with 99 patients （AFP<73.19 ng/mL and PAB<22.55 mg/L）. There were significant differences between these three groups in age， Hb， INR， MELD score， and Child-Pugh class （all P<0.05）. The Kaplan-Meier survival analysis showed that group A had a significantly higher 90-day cumulative survival rate than groups B and C （χ²=19.825， P<0.001）. ConclusionAFP combined with PAB can better predict the 90-day prognosis of HBV-ACLF patients， and patients with high levels of AFP and PAB tend to have a lower mortality rate on day 90.

Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

Objective To explore the impact of"knowledge-attitude-practice"(KAP)training mode on head nur-ses' core competency in healthcare-associated infection(HAI)prevention and control in a tertiary first-class general hospital.Methods Head nurses of 113 departments in a tertiary first-class general hospital were taken as the re-search objects.Guided by problems and demands,HAI training was conducted using the KAP training mode.The training was divided into two stages:a stage with problems of infection control and investigation of knowledge de-mands,as well as a stage with KAP training mode implementation.It included theoretical lectures,visits and lear-ning,and supervision on rectification.Scores of theory,supervision,and core competency of head nurses before training,1 month and 6 months after training were compared by the analysis of variance.SPSS 26.0 statistical soft-ware was used for analysis.Results The top three infection control problems in this hospital were hand hygiene,prevention and control of infection with multidrug-resistant organisms,as well as HAI prevention and control in the wards.The top three training modules required urgently by the head nurses were occupational exposure and self-protection,principles of medical waste disposal,as well as prevention and control of HAI in the wards.Both scores of theory and supervision after training were higher than those before training,with statistically significant diffe-rences(both P＜0.01).The core competencies of the head nurses were at a high level.After implementing KAP training mode,the scores of dimensions in critical thought and research,clinical nursing,leadership,and profe-ssional development,as well as the overall score of core competencies were all higher than before training.Diffe-rences were all statistically significant(all P＜0.05).The overall scores of dimensions in legal and ethical practice,education and consultation,as well as interpersonal relationship were all higher than before training,but the diffe-rences were not statistically significant(all P＞0.05).Conclusion KAP training mode can significantly improve the scores of theory,supervision,and core competencies of head nurses,and can be further promoted and applied in head nurses' infection control training.

Objective To explore the impact of"knowledge-attitude-practice"(KAP)training mode on head nur-ses' core competency in healthcare-associated infection(HAI)prevention and control in a tertiary first-class general hospital.Methods Head nurses of 113 departments in a tertiary first-class general hospital were taken as the re-search objects.Guided by problems and demands,HAI training was conducted using the KAP training mode.The training was divided into two stages:a stage with problems of infection control and investigation of knowledge de-mands,as well as a stage with KAP training mode implementation.It included theoretical lectures,visits and lear-ning,and supervision on rectification.Scores of theory,supervision,and core competency of head nurses before training,1 month and 6 months after training were compared by the analysis of variance.SPSS 26.0 statistical soft-ware was used for analysis.Results The top three infection control problems in this hospital were hand hygiene,prevention and control of infection with multidrug-resistant organisms,as well as HAI prevention and control in the wards.The top three training modules required urgently by the head nurses were occupational exposure and self-protection,principles of medical waste disposal,as well as prevention and control of HAI in the wards.Both scores of theory and supervision after training were higher than those before training,with statistically significant diffe-rences(both P＜0.01).The core competencies of the head nurses were at a high level.After implementing KAP training mode,the scores of dimensions in critical thought and research,clinical nursing,leadership,and profe-ssional development,as well as the overall score of core competencies were all higher than before training.Diffe-rences were all statistically significant(all P＜0.05).The overall scores of dimensions in legal and ethical practice,education and consultation,as well as interpersonal relationship were all higher than before training,but the diffe-rences were not statistically significant(all P＞0.05).Conclusion KAP training mode can significantly improve the scores of theory,supervision,and core competencies of head nurses,and can be further promoted and applied in head nurses' infection control training.

Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

ObjectiveTo investigate the association of the dynamic changes of serum total bilirubin （ΔTBil） and alpha-fetoprotein （AFP） with the short-term prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure （HBV-ACLF）， to establish a new scoring model， and to investigate the value of this model in evaluating the short-term prognosis of HBV-ACLF through comparison with Model for End-Stage Liver Disease （MELD） score and other scoring systems. MethodsThe patients with HBV-ACLF who were hospitalized and treated in Department of Gastroenterology， The General Hospital of Western Theater Command， from January 2015 to December 2022 were enrolled as the retrospective study cohort. Clinical data within 24 hours after admission were collected from all patients， and the patients were divided into survival group and death group according to the survival after 90 days of follow-up. The independent-samples t test was used for comparison of normally distributed continuous data between groups； the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between groups； the chi-square test or the corrected chi-square test was used for comparison of categorical data between two groups. A multivariate Logistic regression analysis was used to determine the risk factors for the prognosis of HBV-ACLF patients and establish a predictive model for prognosis， and the receiver operating characteristic （ROC） curve was used to investigate the value of the new model in predicting the short-term prognosis of HBV-ACLF patients. ResultsA total of 361 patients were included in the analysis， with a 90-day survival rate of 67.3% （243/361）. Compared with the survival group （n=243）， the death group （n=118） had significantly higher age， incidence rates of upper gastrointestinal bleeding and hepatic encephalopathy， international normalized ratio， prothrombin time （PT）， leukocytes， monocytes， neutrophils， creatinine， ΔTBil， MELD score， and ALBI score （all P<0.05）， as well as significantly lower levels of total cholesterol， high-density lipoprotein， low-density lipoprotein， albumin， AFP， platelet count， lymphocytes， and Na⁺ （all P<0.05）. The multivariate Logistic regression analysis showed that AFP， PT， Na⁺， and ΔTBil were independent influencing factors for the 90-day prognosis of patients with HBV-ACLF （all P<0.05）. The new ΔTBil-AFP scoring model was established as 11.987+1.168×ΔTBil （%）－0.095×Na⁺ （mmol/L）+0.25×PT （s）－0.002×AFP （ng/mL）， which had a relatively high predictive value， with an area under the ROC curve of 0.796， a sensitivity of 0.766， and a specificity of 0.723， and the decision curve showed good benefits. ConclusionCompared with the commonly used prediction models such as MELD score and ALBI score， the ΔTBil-AFP scoring model has a better prediction performance.

Objective To investigate the influencing factors for overt hepatic encephalopathy(OHE)in patients with hepatitis B cirrhosis after transjugular intrahepatic portosystemic shunt(TIPS),and to construct an individualized risk prediction model.Methods A total of 302 patients with hepatitis B cirrhosis who underwent TIPS in Department of Gastroenterology,The General Hospital of Western Theater Command,from January 2017 to December 2021 were enrolled,and according to the presence or absence of OHE after surgery,they were divided into non-OHE group with 237 patients and OHE group with 65 patients.The two groups were compared in terms of general data,laboratory markers,Child-Turcotte-Pugh(CTP)score,MELD combined with serum sodium concentration(MELD-Na)score,and albumin-bilirubin(ALBI)score before surgery.The independent-samples t test or the 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.The univariate and multivariate logistic regression analyses were used to identify the influencing factors for OHE after TIPS in patients with hepatitis B cirrhosis,and independent influencing factors were used to construct a nomogram model.The receiver operating characteristic(ROC)curve analysis and the calibration curve analysis were used to evaluate the discriminatory ability and calibration of the model,and the decision curve analysis and the clinical impact curve(CIC)were used to evaluate the clinical effectiveness of the model.Results Age(odds ratio[OR]=1.035,95%confidence interval[CI]:1.004-1.066,P＜0.05),white blood cell count(WBC)/platelet count(PLT)ratio(OR=33.725,95%CI:1.220-932.377,P＜0.05),international normalized ratio(INR)(OR=5.149,95%CI:1.052-25.207,P＜0.05),and pre-albumin(PAB)(OR=0.992,95%CI:0.983-1.000,P＜0.05)were independent predictive factors for OHE after TIPS in patients with hepatitis B cirrhosis.The nomogram model constructed based on age,WBC/PLT ratio,INR,and PAB had an area under the ROC curve of 0.716(95%CI:0.649-0.781),with a sensitivity of 78.5%and a specificity of 56.1%.Conclusion The nomogram model constructed based on age,WBC/PLT ratio,INR,and PAB can help to predict the risk of OHE after TIPS in patients with hepatitis B cirrhosis.