Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

ObjectiveTo investigate the influencing factors for hepatic hydrothorax （HH） before intervention for primary hepatic carcinoma （PHC）， and to construct and assess the nomogram risk prediction model. MethodsA retrospective analysis was performed for the clinical data of 353 hospitalized patients who attended the Third People’s Hospital of Kunming for the first time from October 2012 to October 2021 and there diagnosed with PHC， and according to the presence or absence of HH， they were divided into HH group with 153 patients and non-HH group with 200 patients. General data and the data of initial clinical testing after admission were collected from all PHC patients. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. After the multicollinearity test was performed for the variables with statistical significance determined by the univariate analysis， the multivariate Logistic regression analysis was used to identify independent influencing factors. The “rms” software package was used to construct a nomogram risk prediction model， and the Hosmer-Lemeshow test and the receiver operating characteristic （ROC） curve were used to assess the risk prediction model； the “Calibration Curves” software package was used to plot the calibration curve， and the “rmda” software package was used to plot the clinical decision curve and the clinical impact curve. ResultsAmong the 353 patients with PHC， there were 153 patients with HH， with a prevalence rate of 43.34%. Child-Pugh class B （odds ratio ［OR］=2.652， 95% confidence interval ［CI］： 1.050 — 6.698， P=0.039）， Child-Pugh class C （OR=7.963， 95%CI： 1.046‍ ‍—‍ ‍60.632， P=0.045）， total protein （OR=0.947， 95%CI： 0.914‍ ‍—‍ ‍0.981， P=0.003）， high-sensitivity C-reactive protein （OR=1.007， 95%CI： 1.001‍ ‍—‍ ‍1.014， P=0.025）， and interleukin-2 （OR=0.801， 95%CI： 0.653‍ ‍—‍ ‍0.981， P=0.032） were independent influencing factors for HH before PHC intervention， and a nomogram risk prediction model was established based on these factors. The Hosmer-Lemeshow test showed that the model had a good degree of fitting （χ²=5.006， P=0.757）， with an area under the ROC curve of 0.752 （95%CI： 0.701‍ ‍—‍ ‍0.803）， a sensitivity of 78.40%， and a specificity of 63.50%. The calibration curve showed that the model had good consistency in predicting HH before PHC intervention， and the clinical decision curve and the clinical impact curve showed that the model had good clinical practicability within a certain threshold range. ConclusionChild-Pugh class， total protein， interleukin-2， and high-sensitivity C-reactive protein are independent influencing factors for developing HH before PHC intervention， and the nomogram model established based on these factors can effectively predict the risk of developing HH.

Objective To establish and evaluate a nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer.Methods A retrospective study was conducted on 1298 patients with HBV-related primary liver cancer hospitalized in the Kunming Third People's Hospital from January 2012 to December 2022.General data and serological indicators were collected,and patients were divided into infection group(n=262)and control group(n=1036)based on the occurrence of spontaneous peritonitis.Univariate and LASSO regression analyses were used to screen variables,followed by binary logistic regression to analyze the influencing factors of spontaneous peritonitis in HBV-related primary liver cancer patients,leading to the establishment of a nomogram prediction model.Finally,the Hosmer-lemeshow(H-L)goodness of fit test,receiver operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA)and clinical impact curve(CIC)were utilized to evaluate the fit degree,accuracy,calibration,and clinical practicability of the nomogram prediction model.Results Single factor analysis revealed significant differences between infection group and control group in portal vein cancer thrombus(PVTT),Child-Pugh grade,China Liver Cancer Staging(CNLC)stage,alcohol consumption history,smoking history,white blood cell count(WBC),neutrophil count(NE),hemoglobin(Hb),fibrinogen(FIB),abnormal prothrombin(PIVKA-Ⅱ),aspartate aminotransferase(AST),alanine aminotransferase(ALT),total protein(TP),prealbumin(PA),γ-glutamyltransferase(GGT),alkaline phosphatase(ALP),cholinesterase(CHE),total bile acid(TBA),total cholesterol(TC),low density lipoprotein(LDL),creatinine(Cr),HBV DNA,CD3+T cells count,CD4+T cells count,CD8+T cells count,CD4+T cells/CD8+T cells ratio,procalcitonin(PCT),serum amyloid A(SAA),interleukin-6(IL-6),high-sensitivity C-reactive protein(hs-CRP),alpha-fetoprotein(AFP),and IL-4(P＜0.05).LASSO regression analysis identified 5 variables:Child-Pugh grade,PVTT,WBC,CHE and hs-CRP.Binary logistic regression analysis indicated that Child-Pugh grade(Grade B:OR=5.780,95％CI 3.271-10.213,P＜0.001;Grade C:OR=14.818,95％CI 7.697-28.526,P＜0.001),PVTT(OR=2.893,95％CI 2.037-4.108,P＜0.001),WBC(OR=1.088,95％CI 1.031-1.148,P=0.002),and hs-CRP(OR=1.005,95％CI 1.001-1.010,P=0.026)were the independent risk factors of spontaneous peritonitis in HBV-related primary liver cancer patients.Using these 4 variables,a nomogram prediction model was constructed and evaluated.The P-value of the H-L goodness of fit test was 0.760.Moreover,the area under ROC curve(AUC)was 0.866,with a sensitivity of 0.870 and a specificity of 0.716.The average absolute error of the calibration curve is 0.022.DCA and CIC analyses demonstrated that the nomogram prediction model possessed some clinical utility.Conclusion The nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer patients,constructed using Child-Pugh grade,PVTT,WBC and hs-CRP,exhibits a high fitting degree and accuracy,with the prediction probability highly consistent with the actual occurrence probability,and possesses certain clinical practicability.

Objective To analyze the influencing factors of chronic liver failure in patients with primary hepatic carcinoma(PHC)before intervention,and to establish and evaluate a nomogram risk prediction model.Methods A retrospective analysis was conducted by collecting general data and clinical test data within 24 hours of admission for PHC patients.Univariate analysis and Lasso regression were used for variable selection,followed by multivariate logistic regression analysis to identify independent influencing factors for CLF before PHC intervention,leading to the establishment of a nomogram risk prediction model.The model was evaluated using the Hosmer-Lemeshow test,receiver operating characteristic(ROC)curve,calibration curve,clinical decision curve,and clinical impact curve.Result A total of 353 cases of PHC patients were collected,including 153 cases in the liver failure group and 200 cases in the non-liver failure group,with a prevalence rate of 43.3％.Variables selected by Lasso regression included gastrointestinal bleeding,prothrombin time(PT),albumin(ALB),total bilirubin(TBIL),and gamma glutamyl transferase(GGT).Multivariate logistic regression analysis showed that gastrointestinal bleeding(OR=13.549,95％CI:2.899～63.322,P=0.001),PT(OR=1.599,95％CI:1.282～1.995,P＜0.001),TBIL(OR=1.016,95％CI:1.006～1.025,P=0.002),and GGT(OR=1.002,95％CI:1.000～1.003,P=0.028)were independent risk factors for chronic liver failure prior to PHC intervention,leading to the establishment of a nomogram risk prediction model.The Hosmer Lemeshow test showed that the model had a good fit(x2=6.152,P＞0.05);the area under ROC was 0.902(0.869-0.934),with a sensitivity of 80.4％and a specificity of 87.5％.The calibration curve indicated that the model predicts chronic liver failure prior to PHC intervention with good consistency.Clinical decision curve analysis and clinical impact curve analysis showed that the model has good clinical utility within a certain threshold range.Conclusion Gastrointestinal bleeding,PT ≥16.05s,TBIL≥37.80 mmol/L,and GGT≥ 99.00 U/L are independent risk factors for the occurrence of chronic liver failure before PHC intervention.The established nomogram risk prediction model has certain clinical application value in predicting the risk of chronic liver failure before PHC intervention.

Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

Aim To investigate the mechanism of curcumin inhibition of oxidative stress on osteogenic differentiation and its dose-dependent anti-osteoporosis effect. Methods Cellular oxidative stress models were used, different concentrations of curcumin were added to determinethebone formation markers, and the potential signaling pathways involvedwere detected. Meanwhile, the mouse model of osteoporosis ( ovariecto- mized, 0VX) was used to confirm its effect against osteoporosis. Results In vitro experiments found that low concentrations of curcumin (1-10 μmol · L

Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.

Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.

Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.

Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.