ObjectiveTo investigate the efficacy and safety of the direct-acting antiviral agents coblopasvir hydrochloride/sofosbuvir （CLP/SOF） regimen used alone or in combination with ribavirin （RBV） in the treatment of patients with genotype 3 hepatitis C virus （HCV） infection in terms of virologic response rate， liver function recovery， improvement in liver stiffness measurement （LSM）， and adverse drug reactions， and to provide a reference for clinical medication. MethodsA total of 98 patients with genotype 3 HCV infection who attended The Third People’s Hospital of Kunming from January 2022 to December 2023 were enrolled， and according to the treatment method， the patients were divided into CLP/SOF+RBV treatment group with 55 patients and CLP/SOF treatment group with 43 patients. The patients were observed in terms of rapid virologic response at week 4 （RVR4）， sustained virologic response （SVR）， previous treatment experience， underlying diseases， laboratory and imaging indicators， and adverse reactions during treatment. The course of treatment was 12 weeks， and the patients were followed up for 12 weeks after drug withdrawal. 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 Friedman test was used for comparison within each group at different time points， and the Bonferroni method was used for further comparison and correction of P value； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The univariate and multivariate Logistic regression analyses were used to investigate the influencing factors for SVR12. ResultsBefore treatment， there were significant differences between the CLP/SOF+RBV treatment group and the CLP/SOF treatment group in terms of LSM， total bilirubin （TBil）， gamma-glutamyl transpeptidase （GGT）， HCV genotype， and the presence or absence of liver cirrhosis and compensation （all P<0.05）. The 98 patients with genotype 3 HCV infection had an RVR4 rate of 81.6% and an SVR12 rate of 93.9%. The patients with genotype 3a HCV infection had an RVR4 rate of 84.44% and an SVR12 rate of 97.78%， while the patients with genotype 3b HCV infection had an RVR4 rate of 79.25% and an SVR12 rate of 90.57%. There were significant differences in RVR4 and SVR12 rates between the patients without hepatocellular carcinoma and those with hepatocellular carcinoma， there was a significant difference in RVR4 rate between the patients without HIV infection and those with HIV infection， and there was a significant difference in SVR12 rate between the previously untreated patients and the treatment-experienced patients （all P<0.05）. The univariate Logistic regression analysis showed that treatment history， hypertension， hepatocellular carcinoma， ascites， albumin （Alb）， and platelet count were influencing factors for SVR12 （all P<0.05）， and the multivariate Logistic regression analysis showed that hepatocellular carcinoma （odds ratio=0.034， 95% confidence interval： 0.002‍ ‍—‍‍ 0.666， P=0.026） was an independent influencing factor for SVR12. After treatment with CLP/SOF combined with RBV or CLP/SOF alone， the patients with genotype 3 HCV infection showed gradual reductions in the liver function parameters of TBil， GGT， and alanine aminotransferase （all P<0.05） and a gradual increase in the level of Alb （P<0.05）. As for renal function， there were no significant changes in blood urea nitrogen and creatinine after treatment （P>0.05）. For the patients with or without liver cirrhosis， there was a significant reduction in LSM from baseline after treatment for 12 weeks （P<0.05）. Among the 98 patients with genotype 3 HCV infection， 9 tested positive for HCV-RNA at 12 weeks after treatment， 2 showed no response during treatment， 4 showed virologic breakthrough， and 3 experienced recurrence. The overall incidence rate of adverse events during treatment was 17.35% for all patients. ConclusionCLP/SOF alone or in combination with RBV has a relatively high SVR rate in the treatment of genotype 3 HCV infection， with good tolerability and safety in patients during treatment， and therefore， it holds promise for clinical application.

ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

ObjectiveTo investigate the value of noninvasive imaging detection （FibroScan）， two serological models of gamma-glutamyl transpeptidase-to-platelet ratio （GPR） score and S index， and two inflammatory factors of interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in predicting liver fibrosis in patients with HBeAg-positive chronic hepatitis B （CHB）， as well as the consistency of liver biopsy in pathological staging， and to provide early warning for early intervention of CHB. MethodsA retrospective analysis was performed for 131 HBeAg-positive CHB patients who underwent liver biopsy in The Third People’s Hospital of Kunming from January 2019 to December 2023. The results of liver biopsy were collected from all patients， and related examinations were performed before liver biopsy， including total bilirubin， alanine aminotransferase， platelet count， gamma-glutamyl transpeptidase， albumin， IL-6， TNF-α， liver stiffness measurement （LSM）， and abdominal ultrasound. An analysis of variance was used for comparison of normally distributed continuous data between groups， and the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups； the chi-square test was used for comparison of categorical data between groups. A Kappa analysis was used to investigate the consistency between LSM noninvasive histological staging and pathological staging based on liver biopsy， and the Spearman analysis was used to investigate the correlation between each variable and FibroScan in the diagnosis of liver fibrosis stage. The Logistic regression analysis was used to construct joint predictive factors. The receiver operating characteristic （ROC） curve was used to evaluate the value of each indicator alone and the joint predictive model in the diagnosis of liver fibrosis， and the Delong test was used for comparison of the area under the ROC curve （AUC）. ResultsIn the consistency check， inflammation degree based on liver biopsy had a Kappa value of 0.807 （P<0.001）， and liver fibrosis degree based on liver biopsy had a Kappa value of 0.827 （P<0.001）， suggesting that FibroScan noninvasive histological staging and liver biopsy showed good consistency in assessing inflammation degree and liver fibrosis stage. Age was positively correlated with LSM， GPR score， S index， IL-6， and TNF-α （all P<0.05）， and GPR score， S index， IL-6， and TNF-α were positively correlated with LSM （all P<0.05）. GPR score， S index， IL-6， and TNF-α were all independent risk factors for diagnosing significant liver fibrosis （≥S2） and progressive liver fibrosis （≥S3） （all P<0.05）. As for each indicator alone， GPR score had the highest value in the diagnosis of significant liver fibrosis （≥S2）， followed by S index， IL-6， and TNF-α， while S index had the highest value in the diagnosis of progressive liver fibrosis （≥S3）， followed by GPR score， TNF-α， and IL-6. The joint model had a higher predictive value than each indicator alone （all P<0.05）. ConclusionThere is a good consistency between FibroScan noninvasive histological staging and pathological staging based on liver biopsy. GPR score， S index， IL-6， and TNF-α are independent risk factors for evaluating different degree of liver fibrosis in CHB， and the combined prediction model established by them can better diagnose liver fibrosis.

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 investigate the expression and clinical significance of Periostin in tissues of patients with chronic rhinosinusitis(CRS).METHODS Real-time quantitative PCR and immunohistochemistry were used to detect periostin expression in eosinophilic CRS with nasal polyps(ECRSwNP),non-eosinophilic CRS with nasal polyps(non-ECRSwNP),CRS without nasal polyps(CRSsNP),and control tissues.Correlations between periostin levels and blood eosinophil percentage(Eos%),Lund-Mackay score,modified endoscopic score,and Japanese epidemiological survey of refractory eosinophilic chronic rhinosinusitis(JESREC)score were analyzed.Additionally,changes in SNOT-22 and VAS scores were compared at different preoperative and postoperative times.The predictive value of periostin for ECRSwNP was evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS Periostin expression was detected in all groups(ECRSwNP,non-ECRSwNP,CRSsNP,and controls),with predominant localization in the basement membrane and mucosal subepithelial lamina propria.Significantly elevated periostin levels were detected in the ECRSwNP group compared to the other three groups(P<0.001).Furthermore,Periostin mRNA expression showed significant positive correlations with blood Eos%,JESREC score,and Lund-Mackay score.SNOT-22 and VAS scores were significantly elevated in the ECRSwNP group at preoperative evaluation and 9 months postoperatively(P<0.001).ROC curve analysis demonstrated that periostin had a substantial predictive value for ECRSwNP(AUC=0.957).CONCLUSION Periostin plays a crucial role in the pathogenesis of chronic rhinosinusitis,contributing to the diagnosis,severity assessment,and prognosis evaluation of ECRSwNP,while offering potential therapeutic targets for CRS management.

OBJECTIVE To compare the expression characteristics of transforming growth factor-β1(TGF-β1),Smad2,Smad3,and epithelial-mesenchymal transition(EMT)-related markers(E-cadherin,N-cadherin,vimentin)in patients with different types of chronic sinusitis(CRS),to analyze the correlations of E-cadherin,N-cadherin and vimentin with TGF-β1 and the prognosis of surgical treatment in patients with different types of CRS.METHODS The expressions of E-cadherin,N-cadherin,vimentin,TGF-β1,Smad2 and Smad3 in patients with different types of CRS and the control group were compared by Western blotting(WB)and real-time fluorescence quantitative polymerase chain reaction(qRT-PCR).Analyze its correlation with the improvement degree of each clinical score after the operation.RESULTS Compared with the control group,the expression of E-cadherin decreased in the CRSsNP group,the non-ECRSwNP group and the ECRSwNP group,while the expressions of vimentin and N-cadherin increased.The protein expression of TGF-β1 in the CRSsNP group was higher than that in the non-ECRSwNP group and the control group(P<0.001),and the expressions of Smad2 and Smad3 in the CRSsNP group were higher than those in the ECRSwNP group,the non-ECRSwNP group and the control group(P<0.001).In the CRSsNP group,there was a positive correlation between TGF-β1 and vimentin(r=0.675,P=0.011),and a negative correlation with E-cadherin(r=-0.802,P=0.001).The expression of E-cadherin was negatively correlated with the improvement amplitude of SNOT-22 nasal symptom scores in patients with different types of CRS(P<0.05).CONCLUSION The EMT phenomenon occurs in different types of CRS.In CRS SNPS,EMT may be related to the TGF-β1/Smad signaling pathway.The expressions of EMT markers E-cadherin,N-cadherin and vimentin are correlated with the decrease in the severity of postoperative disease in patients with CRS,suggesting a potential association between the EMT process and the surgical prognosis of patients with CRS.

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.

Objective To compare the efficacy of Tenofovir Alafenamide(TMF)and Tenofovir Disoproxil Fumarate(TDF)in terms of liver function restoration,virus clearance,immune regulation,anti liver fibrosis,lipid metabolism,bone and renal safety,and adverse reactions.Methods A retrospective analysis was conducted on 110 patients with chronic hepatitis B(CHB)admitted to Kunming Third People's Hospital from January 2022 to December 2022.Patients were divided into the TMF treatment group(n=55)and the TDF treatment group(n=55)based on their treatment regimen.We compared the levels of transaminase levels,antiviral efficacy,T cell subsets,renal function electrolytes,lipid metabolism,four liver fibrosis-related indicators,and changes in liver stiffness grading before and after treatment in two groups of patients.The incidence of adverse reactions post-treatment was also compared.Results After 48 weeks of treatment,the levels of TBIL,ALT,AST,GGT,and GLOB in both groups of patients were significantly lower than pre-treatment levels(P<0.05).The decrease in AST levels in the TMF group was lower than that in the TDF group(P<0.05).After 48 weeks of treatment,the HBV-DNA seroconversion rate in the TMF group(90.90%)was higher than that in the TDF group(83.64%).The serological HBsAg clearance rate in the TMF group(7.3%)was lower than that in the TDF group(9.1%),while the HBeAg clearance rate in the TMF group(38.2%)was significantly higher than that in the TDF group(18.2%),with statistical significance(P<0.05).After 48 weeks of treatment,levels of CD3+,CD4+,and CD8+in both groups were significantly elevated compared to pre-treatment levels(P<0.05);notably,the TMF group had higher post-treatment levels of CD3+,CD4+,and CD8+than the TDF group.After 48 weeks,the average values of HA,IV-C,and LN among the TMF group for liver fibrosis indicators were significantly lower than those in the TDF group(P<0.05).The proportions of F0 and F2 in both groups significantly increased post-treatment,while the proportions of F3 and F4 significantly decreased(P to be supplemented);furthermore,the proportions of F0 and F2 in the TMF group were significantly higher than those in the TDF group,and the proportions of F3 and F4 in the TMF group were significantly lower than those in the TDF group(P<0.05).After 48 weeks,HDL-C levels in the TMF group increased compared to pre-treatment(P<0.05).There were no significant differences in TG,TC,HDL-C,or LDL-C levels in the TDF group compared to pre-treatment(P>0.05).After 48 weeks of treatment,there was no difference in the levels of BUN、Cr、P+,and Ca+in the TMF group compared to pre-treatment(P>0.05);however,BUN and Cr levels in the TDF group were significantly higher than pre-treatment levels,while P+and Ca+levels were significantly lower(P<0.05).The incidence of elevated uric acid and bone pain was significantly higher in the TMF group compared to the TDF group(P<0.05);the incidence of diarrhea and abdominal pain was slightly higher in the TMF group compared to the TDF group(P>0.05).Conclusion Compared to TDF,TMF demonstrates a higher rate of liver function recovery,a greater virological response,enhanced anti fibrotic efficacy,and improved drug safety,making it worthy of clinical application in the future.

Objective:To explore the correlation between the ratio of C-reactive protein (CRP) to albumin (CAR) and the syndrome type of Wei-Qi-Ying-Xue in patients with severe coronavirus disease 2019 (COVID-19).Methods:A case-control study was conducted to select 63 severe patients with COVID-19 admitted to the Dongzhimen Hospital of Beijing University of Chinese Medicine from December 2022 to December 2023, including 50 severe cases and 13 critical cases. The clinical data of the patients were collected. According to the syndrome differentiation of Wei-Qi-Ying-Xue, there were 21 cases of Qi syndrome, 20 cases of Ying syndrome and 22 cases of Xue syndrome. The differences of CRP, ALB and CAR levels in patients with different Wei-Qi-Ying-Xue syndromes were compared. Spearman correlation test was used to test the correlation between CRP, ALB, CAR and the Wei-Qi-Ying-Xue syndrome type, and the receiver operating characteristic (ROC) curve was used to detect the diagnostic efficacy of CRP, ALB and CAR on the Wei-Qi-Ying-Xue syndrome type.Results:There was a statistically significant difference in the clinical classification of Western medicine among the three groups ( P<0.05). The CAR of the Ying group and the Xue group was higher than that of the Qi group ( P<0.05), while there was no statistically significant difference in age and comorbidities (all P>0.05). The CRP of the Xue group was higher than that of the Qi group ( P<0.05), and the ALB of the Ying group and the Xue group was lower than that of the Qi group (all P<0.05). Correlation analysis showed that there was a correlation between the Wei-Qi-Ying-Xue syndrome type and CRP, ALB and CAR ( P<0.05), among which CAR changed most significantly with the change of Wei-Qi-Ying-Xue syndrome type. ROC curve analysis showed that CRP, ALB and CAR had good diagnostic value for Qi syndrome and Xue syndrome ( P<0.05). The critical values of the diagnosis of Qi syndrome were 48.57 mg/L, 34.20 g/L and 2.97. The critical values of the diagnosis of Xue syndrome were 28.30 mg/L, 26.6 g/L and 5.96. Conclusions:CAR ratio is correlated with the Wei-Qi-Ying-Xue syndrome type of severe COVID-19 patients, and its level changes are in line with the evolution law of Wei-Qi-Ying-Xue syndrome. CAR≤2.97 is contributed to the diagnosis of Qi syndrome, and CAR>5.96 is contributed to the diagnosis of Xue syndrome. CAR may be an objective index related to the Wei-Qi-Ying-Xue syndrome type of severe COVID-19 patients.

Objective To explore the influencing factors of spontaneous bacterial peritonitis in patients with primary liver cancer complicated with ascites and establish a prediction model.Methods A total of 292 patients with primary liver cancer complicated with ascites who were hospitalized for the first time in the Third People's Hospital of Kunming from January 2012 to December 2021 were selected as the study objects.General data,etiological indicators,serological indicators and complications of these subjects were collected.Then they were divided into the infection group(n = 114)and the control group(n = 178)according to whether spontaneous bacterial peritonitis(SBP)was complicated.Univariate and multivariate logistic regression were used to analyze the influencing factors of SBP in patients with primary liver cancer complicated with ascites.Finally,ROC curves were constructed to more intuitively represent the individual and combined predictive value of these targets.Results Am-ong 292 hepatocellular carcinoma patients with ascites,there were 235 males(80.48%)and 57 females(19.52%),among which 114 patients with SBP were in the infection group and 178 patients without SBP were in the control group.The results of univariate analysis showed that compared with the control group,the levels of WBC,neutrophils,prothrombin time,total bilirubin,albumin,CD3,CD4,CD8,CD4/CD8 ratio,CD19 procalcitonin,serum amyloid A,hypersensitive C-reactive protein,sodium,chlorine,alcohol consumption,shock,hepatorenal syndrome,hepatic encephalopathy,massive ascites in the infection group had statistically significant difference(P<0.05).Multi-factor analysis revealed that CD8,CD4/CD8 ratio were protective factors for SBP in patients with liver cancer ascites,CD19,procalcitonin,serum amyloid A,and massive ascites were risk factors for SBP in patients with ascites.ROC curve construction showed that serum amyloid A,CD8,CD4/CD8 ratio,CD19,procalcitonin,massive ascites area under curve(AUC)of massive ascites were 0.724,0.637,0.653,0.820,0.705,0.686,respectively.Conclusion CD8,CD4/CD8 ratio,CD19,procalcitonin,serum amyloid A,and a large volume of ascites are significant factors contributing to the development of spontaneous bacterial peritonitis(SBP)in patients with hepatocellular carcinoma ascites.The predictive value of combination is substantial,demonstrating a level of accuracy in forecasting SBP occurrence