ObjectiveTo investigate the association between albumin （Alb） and recompensation by comparing recompensation rate between hepatitis B/C virus-related decompensated liver cirrhosis patients with different Alb levels， and to provide guidance for the identification and management of high-risk patients in clinical practice. MethodsRelated clinical data were collected from 734 patients with hepatitis B/C virus-related decompensated liver cirrhosis who attended The Third People’s Hospital of Kunming from January 1， 2016 to December 31， 2022， and they were divided into three groups based on the level of Alb. The linear regression analysis and chi-square test were used for trend tests. The Kaplan-Meier curve was plotted for the cumulative incidence rate of recompensation in the three groups， and the log-rank test was used for comparison between groups. A Cox proportional-hazards regression model analysis was used to investigate the association between Alb and recompensation in patients with hepatitis B/C virus-related decompensated liver cirrhosis. ResultsAmong the 734 patients with hepatitis B/C virus-related decompensated liver cirrhosis， 270 achieved recompensation， with a recompensation rate of 36.8%. All patients had a median Alb level of 29.90 （25.90 — 34.80） g/L on admission， and according to the level of Alb， they were divided into <25.9 g/L group with 177 patients， 25.9 — 34.8 g/L group with 377 patients， and >34.8 g/L group with 180 patients； 36 patients （20.3%） in the <25.9 g/L group， 138 （36.6%） in the 25.9 — 34.8 g/L group， and 96 （53.3%） in the >34.8 g/L group achieved recompensation， and the recompensation rate increased with the increase in Alb level （χ²=41.730， P<0.001）. After adjustment for all confounding factors， compared with the <25.9 g/L group， there was a significant increase in the incidence rate of recompensation in the 25.9 — 34.8 g/L group （hazard ratio ［HR］=1.842， 95% confidence interval ［CI］： 1.274 — 2.663） and the >34.8 g/L group （HR=2.336， 95% CI： 1.575 — 3.463）. The Kaplan-Meier survival analysis showed that there was a significant difference in the cumulative incidence rate of recompensation between the three groups （χ²=41.632， P<0.001）. ConclusionAlb level is an influencing factor for recompensation in patients with hepatitis B/C virus-related decompensated liver cirrhosis， and the recompensation rate increases with the increase in Alb level.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

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.

Microbiota can be recognized by the human immune system,trigger specific immune responses,and play a significant role in the onset and progression of diseases through intricate regulatory mechanisms.The tumor microenvironment comprises the peritumoral extracellular matrix,immune cells,tumor-associated fibroblasts,and endothelial cells,among others.In this context,the tumor immune microenvironment,characterized by immune cells,significantly influences cancer progression and treatment.Notably,the tumor immune microenvironment is closely associated with the tumor microbiota.The presence of respiratory microbiota is correlated with the typing and staging of non-small cell lung cancer.This study investigated the mechanisms by which respiratory microbiota affect innate and adaptive immune cells within the tumor immune microenvironment and explored the role of respiratory microbiota in the immunotherapy of non-small cell lung cancer.The aim was to identify potential biomarkers that could enhance the diagnosis and treatment of non-small cell lung cancer.

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.

Microbiota can be recognized by the human immune system,trigger specific immune responses,and play a significant role in the onset and progression of diseases through intricate regulatory mechanisms.The tumor microenvironment comprises the peritumoral extracellular matrix,immune cells,tumor-associated fibroblasts,and endothelial cells,among others.In this context,the tumor immune microenvironment,characterized by immune cells,significantly influences cancer progression and treatment.Notably,the tumor immune microenvironment is closely associated with the tumor microbiota.The presence of respiratory microbiota is correlated with the typing and staging of non-small cell lung cancer.This study investigated the mechanisms by which respiratory microbiota affect innate and adaptive immune cells within the tumor immune microenvironment and explored the role of respiratory microbiota in the immunotherapy of non-small cell lung cancer.The aim was to identify potential biomarkers that could enhance the diagnosis and treatment of non-small cell lung cancer.

Coronary artery bypass grafting (CABG) is one of the most effective revascularization treatments for coronary heart disease. Secondary prevention strategies, which rely on antiplatelet and lipid-lowering drugs, are crucial after CABG to ensure the durability of revascularization treatment effects and prevent adverse cardiovascular and cerebrovascular events in the medium to long term. Previous research conducted by Professor Zhao Qiang's team from Ruijin Hospital of Shanghai Jiao Tong University, known as the DACAB study, indicated that dual antiplatelet therapy (DAPT, specifically ticagrelor+aspirin) after CABG can enhance venous graft patency. However, it remains uncertain whether DAPT can further improve the medium to long-term clinical outcomes of CABG patients. Recently, the team reported the medium to long-term follow-up results of the DACAB study, termed the DACAB-FE study, finding that DAPT administered after CABG can reduce the incidence of major cardiovascular events over five years and improve patients' medium to long-term clinical outcomes. This article will interpret the methodological highlights and significant clinical implications of the DACAB-FE study.

Objective To investigate the expression of spalt like transcription factor 4(Sall4)in pancreatic cancer tissues and its clinical significance,as well as the impact of inhibiting its gene expression on the migration and invasion of pancreatic cancer cells.Methods This study involved 64 patients with pancreatic cancer treated at the 2nd Affiliated Hospital of Kunming Medical University from January 2014 to January 2018.Immunohistochemical staining was used to detect the expression of Sall4 protein in adjacent non-tumor tissues and pancreatic cancer tissues,respectively.Real-time quantitative PCR was used to measure the mRNA expression levels of Sall4 in the cancerous and adjacent non-tumor tissues,respectively.The relationship between the clinicopathological data of these patients and the expression of Sall4 protein was also analyzed.The cells of high Sall4 expression were screened from the human pancreatic cancer cell lines PANC-1,Capan-1,SW 1990,HPAC,and HPAF-Ⅱ.The pancreatic cancer cells of high Sall4 expression were divided into three groups:control group,shRNA-1 group,and shRNA-2 group.The shRNA-1 and shRNA-2 groups were transfected with the corresponding Sall4 lentiviral inhibitory gene sequences,while the control group was transfected with the reagent without an interference sequence.Western blotting was used to measure the expression of Sall4,and cells with significantly reduced expression were selected for subsequent experiments.The transfected cells were then assessed for their invasive and migratory abilities.Results Among the 64 samples of pancreatic cancer tissues,28 cases(43.8％)were positive for Sall4 expression,a rate significantly higher than 5 cases(7.8％)in adjacent non-tumor tissues.Furthermore,16 cases exhibited strong positivity,while 12 cases showed moderate or weak positivity.Recurrence occurred in 11 pancreatic cancer patients.The difference was statistically significant.The expression of Sall4 was correlated with tumor differentiation,staging,and lymph node metastasis,suggesting that Sall4 positivity might be an independent risk factor affecting the prognosis of pancreatic cancer.Among the five cell lines,PANC-1 had the highest relative expression of Sall4 and was selected for further experiments.The shRNA-1 and shRNA-2 groups successfully suppressed the expression of Sall4,with the shRNA-1 group showing a more pronounced effect.Compared to the control group,the invasive and migratory abilities of SW480 cells were significantly reduced in the shRNA-1 group(P＜0.05).Conclusion Sall4 is highly expressed in pancreatic cancer tissues,and higher expression is associated with a greater likelihood of postoperative recurrence.Inhibiting the expression of Sall4 can significantly suppress the invasion and migration abilities of human pancreatic cancer cells.

Objective:To analyze the hepatic tissue inflammatory activity and influencing factors in HBeAg-positive patients during normal alanine aminotransferase (ALT) and indeterminate phases so as to provide a basis for evaluating the disease condition.Methods:Patients with HBeAg-positive with normal ALT and HBV DNA levels below 2 × 10 7 IU/ml from January 2017 to December 2021 were selected as the study subjects. A histopathologic liver test was performed on these patients. Age, gender, time of HBV infection, liver function, HBsAg level, HBV DNA load, genotype, portal vein inner diameter, splenic vein inner diameter, splenic thickness, and others of the patients were collected. Significant influencing factors of inflammation were analyzed in patients using logistic regression analysis, and its effectiveness was evaluated using receiver operating characteristic (ROC) curves. Results:Of the 178 cases, there were 0 cases of inflammation in G0, 52 cases in G1, 101 cases in G2, 24 cases in G3, and one case in G4. 126 cases (70.8%) had inflammatory activity ≥ G2. Infection time ( Z=-7.138, P<0.001), γ-glutamyltransferase ( t ?=-2.940, P=0.004), aspartate aminotransferase ( t ?=-2.749, P=0.007), ALT ( t ?=-2.153, P=0.033), HBV DNA level ( t ?=-4.771, P=0.010) and portal vein inner diameter ( t ?=-4.771, P<0.001) between the ≥G2 group and < G2 group were statistically significantly different. A logistic regression analysis showed that significant inflammation in liver tissue was independently correlated with infection time [odds ratio (OR)=1.437, 95% confidence interval ( CI): 1.267-1.630; P<0.001)] and portal vein inner diameter ( OR=2.738, 95% CI: 1.641, 4.570; P<0.001). The area under the curve (AUROC), specificity, and sensitivity for infection time and portal vein inner diameter were 0.84, 0.71, 0.87, 0.72, 0.40, and 0.95, respectively. Conclusion:A considerable proportion of HBeAg-positive patients have inflammation grade ≥G2 during normal ALT and indeterminate phases, pointing to the need for antiviral therapy. Additionally, inflammatory activity has a close association with the time of infection and portal vein inner diameter.