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.

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.

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

"Expert consensus under mild-to-moderate sedation and analgesia in oral diagnosis and treatment by non-anesthesiologists" formulated by Society of Sedation and Analgesia, Chinese Stomatological Association was officially released in 2023. The expert consensus proposes clinical recommendations in terms of basic requirements, implementation protocols, risk prevention, and complication management. This article interprets the expert consensus to facilitate readers′ better understanding and application in clinical practice.

Objective This study is to explore the clinical efficacy and common adverse reactions of PEG-IFN α-2b combined with TMF and TDF in the treatment of hepatitis B liver fibrosis,and provide more clinical reference for the treatment of chronic hepatitis B.Methods From January 2022 to December 2023,we selected 130 patients with chronic hepatitis B liver fibrosis who were admitted to Kunming Third People's Hospital.Divided into TMF combined group and TDF combined group,the virus reduction level,virus response rate,liver fibrosis four items,instantaneous elastography(FibroScan)and other indicators were compared between the two groups of patients after 48 weeks of treatment.The changes in liver fibrosis grading and adverse reactions before and after treatment were also compared.Results After 48 weeks of treatment,the TMF combined group showed a significant increase in HBV DNA seroconversion rate and HBeAg seroconversion rate compared to the TDF combined group,with statistical significance(P<0.05).However,there was no statistically significant difference in HBsAg seroconversion rate between the two groups of patients(P>0.05).After 48 weeks of treatment,the TMF combined group showed more significant efficacy in reducing the levels of HA,PC Ⅲ,Ⅳ-C,and LN,with a significant difference(P<0.05);After 48 weeks of treatment,both groups of patients showed improvement in the degree of liver tissue fibrosis.Compared with the TDF combined group,the TMF combined group had a more significant effect on tissue improvement.After 48 weeks of treatment,the incidence of dyslipidemia,hypothyroidism,and diarrhea was higher in the TMF combined group than in the TDF combined group(P<0.05);After 48 weeks of treatment,there was no statistically significant difference in the incidence of gingival bleeding,anemia,and thrombocytopenia between the two groups of patients(P>0.05);The incidence of elevated uric acid and joint pain in the TDF combined group was higher than that in the TMF combined group after 48 weeks of treatment(P<0.05).Conclusion TMF combined with PEG-IFN α-2b has better clinical efficacy in treating chronic hepatitis B,strong antiviral ability,greater inhibition of liver fibrosis,good drug safety,better prognosis,and can provide more effective medication basis for clinical cure of hepatitis B.

Objective To analyze the influencing factors of pulmonary infection in patients with primary liver cancer(PHC)before intervention,and establish a nomogram risk prediction model to verify it.Methods A total of 1 635 patients with PHC diagnosed and hospitalized for the first time were selected and divided into the infected group(197 cases)and the non-infected group(1 438 cases)according to whether they had pulmonary infection.General data such as body mass index(BMI),chronic hepatitis B(CHB),chronic hepatitis C(CHC),Barcelona stage(BCLC),white blood cells(WBC),neutrophils(NEU),hemoglobin(Hb)and other blood routine indicators were collected.Total protein(TP),prealbumin(PA),aspartate aminotransferase(AST),gamma glutamylaminotransferase(GGT),alkaline phospholipase(ALP),abnormal prothrombin(PIVKA-Ⅱ),alpha-fetoprotein(AFP),carcinoembryonic antigen(CEA),procalcitonin(PCT),hypersensitive C-reactive protein(hs-CRP),cholinesterase(ChE),total cholesterol(TC)and other blood biochemical indicators,CD3 cell count(CD3+),CD4 cell count(CD4+),CD4/CD8 ratio(CD4+/CD8+),CD19 cell count(CD19+),interleukin(IL)-2,interferon(IFN)-α,tumor necrosis factor(TNF)-α and other cytokines were also collected.Univariate analysis and Lasso regression were used to screen variables,and binary Logistic regression analysis was used to determine risk factors for pulmonary infection in PHC patients before intervention.The risk prediction model was established and evaluated.Results Compared with the non-infected group,age,smoking rate,CHC,pleural effusion,gastrointestinal hemorrhage,Child-Pugh grade C,BCLC Phase A/C/D ratio,WBC,NEU,AST,GGT,ALP,PIVKA-Ⅱ,AFP,CEA,PCT,hs-CRP,IL-2,IL-5,IL-6,IL-8,IL-10,IL-12,IFN-γ and TNF-α levels were higher in the infected group,and levels of BMI,CHB ratio,Hb,TP,PA,ChE,TC,CD3+,CD4+,CD4+/CD8+,CD19+and IFN-α were lower(P<0.05).Lasso regression and binary Logistic regression analysis showed that pleural effusion,gastrointestinal hemorrhage,higher level of age,WBC,Hb and lower level of TP were independent risk factors for pulmonary infection in patients with PHC before intervention.The area under receiver operating curve(ROC)of the established nomogram model was 0.700(95%CI:0.659-0.740),and Hosmer-Lemeshow test results showed good goodness-fit of the model.Self-sampling was repeated 1 000 times for internal verification.The consistency of the model was good.Conclusion Pleural effusion,gastrointestinal hemorrhage,higher level of age,WBC,Hb and lower level of TP are independent risk factors for pulmonary infection in PHC patients before intervention.The established nomogram prediction model can effectively evaluate the risk of pulmonary infection in PHC patients before intervention.

Ferroptosis is a newly discovered mode of programmed cell death characterized by the accumulation of intracellular iron-dependent lipid peroxidation.Current research has mainly focused on the role of ferroptosis in the field of cancer,but increasing evidence shows that ferroptosis is also related to the occurrence of infectious diseases.Ferroptosis has accordingly been detected in cases of COVID-19,tuberculosis,and cryptococcal meningitis,as well as other diseases.This article reviews the role of ferroptosis in infectious diseases,to provide new ideas for the prevention and treatment of ferroptosis-related infectious diseases.

Objective:To test the practical effect of the research projects outpatient strategy for application of the National Natural Science Foundation (NSFC) in a hospital of Chinese medicine.Methods:We compared the number and success rate of the National Natural Science Foundation of China grant awards before and after the implementation of the research projects outpatient strategy, and further analyzed the promotional effect of the research projects outpatient strategy on general programs and youth scientists funds through univariate analysis and multivariate Logistic regression.Results:Since the implementation of the research projects outpatient strategy, both the number of NSFC grant awards and the success rate continuously increased, indicating that the strategy played a positive role in improving the overall success rate of the hospital. However, this effect was primarily reflected in the assistance provided to applications for youth scientists funds. The main favorable factor for winning general programs was the applicant′s preliminary foundation. Applicants who have previously received NSFC funding had a higher success rate.Conclusions:The strategy of research projects outpatient can promote the winning of NSFC youth scientists funds.

Objective To analyze the impact of artificial intelligence (AI) on colorectal adenoma detection rate (ADR) in fatigue state of endoscopists. Methods A total of 784 patients undergoing colonoscopy at the Endoscopy Center of Hengshui People's Hospital in Hebei Province were enrolled. Patients were divided into group A (n=405, time from 14: 00 to 15: 59) and group B (n=379, time from 16: 00 to 17: 30) based on the operation time. Patients in both groups who underwent AI-assisted examination were included in AI subgroup, while those without AI assistance were included in non-AI subgroup. Baseline data, including age, gender and bowel preparation quality [assessed by the Boston Bowel Preparation Scale (BBPS) score] were collected. The ADR and polyp detection rate (PDR) for colorectal lesions were calculated for both groups, and the ADR was compared between groups with and without AI assistance. Results The overall ADR was 32.10% in the group A, which was higher than 26.91% in the group B, but the difference was not statistically significant (P>0.05). Without AI assistance, the ADR in the group A was 25.85%, which was significantly higher than 17.30% in the group B (P < 0.05). In the group B with AI assistance, the ADR was significantly higher than that in the group A without AI assistance (P < 0.05). Without AI assistance, the PDR in the group A was 33.17%, which was significantly higher than 22.70% in the group B (P < 0.05). After using AI assistance, there was no significant difference in PDR between the two groups (P>0.05). In the group A, the ADR was 38.50% in the AI subgroup (n=200) and 25.80% in the non-AI subgroup (n=205), with a statistically significant difference (P=0.006). In the group B, the ADR was 36.08% in the AI subgroup (n=194) and 17.30% in the non-AI subgroup (n=185), with a statistically significant difference (P < 0.001). Conclusion AI-assisted colonoscopy can effectively improve the ADR of endoscopists under fatigue conditions.