Objective: To analyze the associations of physical activity with overweight/obesity, depressive symptoms, and their co-occurrence among junior and senior high school students, so as to provide reference for optimizing physical activity intervention strategies and promoting healthy lifestyles. Methods: From March to November 2023, a cross sectional survey was conducted among 90 457 junior and senior high school students aged 11-18 years in Zhejiang Province using a stratified cluster random sampling method. Data on physical activity and dietary behavior were collected through questionnaires, height and weight were measured. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). The Chi-square test was used to examine differences, and Logistic regression was applied to evaluate the associations of physical activity characteristics with overweight/obesity, depressive symptoms, and their co-occurrence. Additionally, the effectiveness of physical activity performed on rest days versus work days was examined. Results: The prevalence of overweight/obesity, depressive symptoms, and their co-occurrence among junior and senior high school students were 25.1%, 27.9%, and 6.7%, respectively, with significant sex differences ( χ 2=2 005.3, 587.7, 99.6, all P <0.01). Logistic regression analysis showed that students with insufficient physical activity had a higher risk of overweight/obesity compared with those with sufficient physical activity ( OR=1.12, 95%CI=1.06-1.17, P <0.01). Comparing to students who exercised 0-1 day per week, those who exercised 5-7 days per week were associated with a reduced risk of overweight/obesity and depressive symptoms ( OR=0.93, 95%CI =0.90-0.97; OR=0.95, 95%CI =0.91-0.99, both P <0.05). When total activity volume and frequency were held constant, students with sufficient rest day physical activity had lower risks of overweight/obesity, depressive symptoms, and their co-occurrence than those with insufficient rest day activity (all P < 0.01). Conclusions Sufficient amount of physical activity and higher frequency of rest day physical activity are significantly associated with lower risks of overweight/obesity, depressive symptoms, and their co-occurrence in adolescents. Physical activity performed on rest days may confer greater health benefits than activity performed on work days.

Acute-on-chronic liver failure （ACLF） is a syndrome of acute liver function decompensation in patients with chronic liver disease and is characterized by a high short-term mortality rate. Liver transplantation is an effective radical treatment method for ACLF and can significantly improve the survival rate of patients. However， in the context of a shortage of donor organs globally， how to achieve a balance between saving lives and avoiding futile transplantation while optimizing organ utilization is a critical challenge in clinical decision-making. This article systematically reviews the evolution of the evaluation and decision-making system for liver transplantation in ACLF patients and points out s that the core of this system has shifted from relying solely on the MELD score to a model based on multidimensional prognostic assessment， dynamic evaluation， and multidisciplinary collaboration. In the future， the integration of Eastern and Western criteria， the application of artificial intelligence for precise prediction， and the establishment of a more equitable priority and allocation system will be the key directions for development in this field.

Acute-on-chronic liver failure （ACLF） is an acute decompensation syndrome that develops on the background of chronic liver disease and is characterized by high mortality， rapid disease progression， complex clinical phenotypes， and a narrow window for reversibility. At present， there is still a lack of a unified standardized diagnostic system for ACLF globally， and there are significant differences between different diagnostic criteria in terms of liver failure， extrahepatic organ failure， and high-risk states within specific etiological contexts. To achieve individualized risk stratification of ACLF patients and optimize the allocation of clinical resources， it is urgently needed to establish a scientifically sound and precise classification system. Traditional static diagnostic models are confined only to baseline assessment and mortality prediction and fail to reflect dynamic disease evolution or effectively distinguish treatment response across different groups of patients. This article systematically reviews the major definitions and classification systems of ACLF at the current stage， analyzes the application value and limitations of various classification frameworks in clinical treatment decision-making， prognostic risk assessment， and clinical trial design， and proposes that the clinical classification system for ACLF should move beyond the single baseline evaluation approach toward a dynamic， treatment-oriented， and cross-etiology integrated assessment model， in order to provide a more precise theoretical basis for clinical diagnosis and treatment regarding artificial liver support， intensive care management， liver regeneration therapies， and determination of indications for liver transplantation.

Acute-on-chronic liver failure (ACLF) is an acute deterioration of liver function occurring on the basis of chronic liver disease, accompanied by failure of the liver and extrahepatic organs, and is associated with a high short-term mortality rate. Liver transplantation is the only curative treatment for patients with ACLF. However, the shortage of donor livers and limitations of the organ allocation system mean that only a minority of patients can receive transplants. The current organ allocation system based on the model for end-stage liver disease (MELD) score may underestimate the urgency of liver transplantation for ACLF patients. Therefore, it is urgent to develop better assessment tools to determine which ACLF patients are most likely to benefit from liver transplantation. This article reviews the current mainstream definitions of ACLF, the selection of candidates for liver transplantation in ACLF, and the prognostic scoring systems for liver transplantation in ACLF, both domestically and internationally, in order to provide a reference for the prognostic assessment of liver transplantation in ACLF patients.

ObjectiveTo establish and validate a new prediction model for the risk of death in patients with acute-on-chronic liver failure （ACLF） based on sarcopenia and other clinical indicators， and to improve the accuracy of prognostic assessment for ACLF patients. MethodsA total of 380 patients with ACLF who were admitted to Beijing YouAn Hospital， Capital Medical University， from January 2019 to January 2022 were enrolled， and they were divided into training group with 228 patients and testing group with 152 patients in a ratio of 6∶4 using the stratified random sampling method. For the training group， CT images were used to measure the cross-sectional area of the skeletal muscle at the third lumbar vertebra （L3）， and L3 skeletal muscle index （L3-SMI） was calculated. Sarcopenia was diagnosed based on the previously established L3-SMI reference values for healthy adults in northern China. Univariate and multivariable Cox regression analyses were used to establish a sarcopenia-ACLF model which integrated sarcopenia and clinical risk factors， and a nomogram was developed for presentation. The area under the ROC curve （AUC） was used to assess the predictive performance of the model， the calibration curve was used to assess the degree of calibration， and a decision curve analysis was used to investigate the clinical application value of the model. 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 Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison between groups. The DeLong test was used for comparison of AUC between different models. ResultsThe multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=1.962， 95% confidence interval ［CI］： 1.185‍ ‍—‍ ‍3.250， P=0.009）， total bilirubin （HR=1.003， 95%CI： 1.002‍ ‍—‍ ‍1.005， P<0.001）， international normalized ratio （HR=1.997， 95%CI： 1.674‍ ‍—‍ ‍2.382， P<0.001）， and lactic acid （HR=1.382， 95%CI： 1.170‍ ‍—‍ ‍1.632， P<0.001） were included in the sarcopenia-ACLF model. In the training cohort， the sarcopenia-ACLF model had a larger AUC than MELD-Na score in predicting 90-day mortality in patients with ACLF （0.80 vs 0.73， Z=1.97， P=0.049）. In the test cohort， the sarcopenia-ACLF model had a significantly larger AUC than MELD score （0.79 vs 0.69， Z=2.70， P=0.007） and MELD-Na score （0.79 vs 0.68， Z=2.92， P=0.004）. The calibration curve showed that the model had good calibration ability， with a relatively good consistency between the predicted risk of mortality and the observed results. The DCA results showed that within a reasonable range of threshold probabilities， the sarcopenia-ACLF model showed a greater net benefit than MELD and MELD-Na scores in both the training cohort and the test cohort. ConclusionThe sarcopenia-ACLF model developed in this study provides a more accurate tool for predicting the risk of 90-day mortality in ACLF patients， which provides support for clinical decision-making and helps to optimize treatment strategies.

Objective:To analyze the changing trends and international differences in the incidence and disability-adjusted life years (DALY) of hypertensive disorders in pregnancy (HDP) in China from 1990 to 2021 based on the Global Burden of Disease (GBD) database.Methods:The data were derived from the GBD database, covering the incidence and DALY data of HDP in countries or regions around the world. Descriptive statistics were used to compare the differences in disease burden between China and different regions of Europe, America and other developed countries, and to analyze the disease burden characteristics of women of childbearing age in different age groups (every 5 years). The Joinpoint regression model was used to identify trend change points. The age-period-cohort model was used to analyze the independent effects of age, period and birth cohort.Results:(1) From 1990 to 2021, the incidence of HDP in China showed an overall downward trend, from 387.18/100 000 in 1990 to 216.35/100 000 in 2021. Compared with the global incidence rate (1990: 1 167.28/100 000; 2021: 923.48/100 000), the incidence rate of HDP in China was relatively low, but it was still higher than that in some developed countries. (2) The analysis of the Joinpoint regression model showed that the incidence rate of HDP in different age groups first decreased, then increased, and finally leveled off. The connection point with the lowest point was in 2005. DALY showed a continuous downward trend in all age groups. Among them, the decline in maternal DALY of pregnant women in all age groups from 15 to 39 years old was more obvious. (3) The age-period-cohort effect model showed that the incidence rate and DALY of HDP in women of childbearing age aged 20 to 24 years reached their peak.Conclusions:The burden of HDP in China continues to decrease, and the disease prevention and control has achieved remarkable results, but the incidence rate is still higher than that in some developed countries. It is suggested that personalized interventions should be developed for different risk groups to further reduce the burden of disease.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum 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 non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

Objective:To explore the application value of CT-guided percutaneous coaxial needle biopsy (CT-PTCB) in the diagnosis of malignant tumors.Methods:A retrospective case series study was conducted. The clinical data of 802 suspected malignant tumor patients who underwent CT-PTCB upon admission to Beijing Chaoyang District Huanxing Cancer Hospital from January 2019 to December 2023 were analyzed. All patients underwent imaging follow-up combined with CT-PTCB or surgical pathology to determine the final diagnosis. The CT-PTCB puncture effect, diagnosis effect and incidence of complications were recorded.Results:Among the 802 patients, 488 (60.8%) were male and 314 (39.2%) were female, with the age of (51±11) years. The puncture sites included 610 cases (76.1%) in the chest, 169 cases (21.1%) in the abdomen, 17 cases (2.1%) in the bones, and 6 cases (0.7%) in the pelvic cavity. The success rate of CT-PTCB puncture upon admission was 99.5% (798/802), the diagnostic accuracy was 96.5% (774/802), and the false negative rate was 3.5% (28/802). The incidence of pneumothorax and bleeding in patients undergoing pulmonary CT-PTCB was 13.0% (75/575) and 17.9% (103/575), respectively; the incidence of puncture bleeding in patients undergoing liver CT-PTCB was 0.8% (1/125), and the incidence of pain was 1.6% (2/125); the incidence of pneumothorax in patients undergoing mediastinal CT-PTCB was 8.7% (2/23); no obvious complications were observed in other puncture sites. All complications were cured through active treatment.Conclusions:The application of CT-PTCB for the diagnosis of malignant tumors has high success rate and diagnosis rate, and is safe and minimally invasive.

ObjectiveTo investigate the dynamic trajectories of prognostic scores and key clinical indicators in hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF） patients without liver cirrhosis， to clarify their association with outcomes， and to provide new evidence for individualized prognostic assessment. MethodsA prospective study was conducted for the data of 154 non-cirrhotic HBV-ACLF patients who attended Beijing YouAn Hospital of Capital Medical University from January 2016 to December 2023， including prognostic scores and key biochemical indicators on Days 3， 7， 14， 21， and 28 of the disease course. According to the outcome of patients at 1 year， they were divided into death/liver transplantation group with 43 patients， liver cirrhosis group with 23 patients， and non-liver cirrhosis group with 88 patients， and the trajectory heterogeneity of different outcome subgroups was analyzed. A one-way analysis of variance was used for comparison of normally distributed continuous data among the three groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data among the three groups； the Wilcoxon test was used between two groups. the chi-square test was used for comparison of categorical data between groups. The mean and its 95% confidence interval （CI） were calculated for each indicator at difference time points； the linear interpolation method was used to connect the means at adjacent time points and construct the group-specific longitudinal trend curve； the 95%CI was visualized using the semi-transparent ribbon area， with the transparency parameter （α=0.2） optimized to enhance the visual discrimination of overlapping intervals across multiple groups. A linear mixed-effects model was used to compare the longitudinal changing trend of each indicator between the patients with different outcomes； likelihood ratio was used to evaluate the significance of the interaction effect between time and group， and in case of the significant interaction effect， the slope based on the estimated marginal mean was used for comparison between two groups. ResultsThere were significant differences between the three groups in the incidence rates of ascites and grade Ⅲ — Ⅳ hepatic encephalopathy， MELD score， MELD-Na score， CLIF-C ACLF score， COSSH-ACLF Ⅱ score， total bilirubin （TBil）， international normalized ratio （INR）， alpha-fetoprotein， blood sodium， alanine aminotransferase， and procalcitonin at the baseline（all P0.05）. The analysis of dynamic trajectories showed that the death/liver transplantation group had high levels of prognostic scores and the biochemical parameters of TBil and INR （TBil400 μmol/L， INR2.5）， as well as a low level of platelet count （PLT） （100×10⁹/L）. The non-liver cirrhosis group had rapid improvements in indicators， with TBil200 μmol/L， INR1.5， and PLT100×10⁹/L by day 28， while the liver cirrhosis group showed a trend of recovery， with TBil200 μmol/L， INR2.0， and PLT 100×10⁹/L on day 28， with significant global heterogeneity in the temporal trends of the above indicators across the three groups （all P0.01）. ConclusionDynamic monitoring of prognostic scores and key clinical indicators can effectively stratify the 1-year outcomes of non-cirrhotic patients with HBV-ACLF. Patients with poor prognosis were typically characterized by INR 2.5 and TBil 400 μmol/L. Among those who survived beyond 1 year， individuals who subsequently progressed to cirrhosis were frequently identified by the presence of INR 1.5， TBil 200 μmol/L， and PLT 100×10⁹/L at day 28.

Objective: To analyze the association between each regional fat mass and total body bone mineral density (BMD) in children and adolescents aged 7-17 years in Beijing, so as to provide theoretical basis and practical guidance for implementing interventions. Methods: From September to December 2020, a stratified cluster random sampling method was used to select 1 423 children and adolescents aged 7-17 years in Tongzhou District, Beijing. Dual energy X-ray absorptiometry (DXA) was employed to measure regional body composition and total body BMD. Multiple linear regression was used to analyze the association between regional fat mass and total body BMD. Results: The median (interquartile range) fat mass values for total body, upper limbs, abdomen, hips, and thighs were 13.51(8.84, 19.21), 1.59(1.08, 2.23), 0.73(0.39, 1.29), 2.32(1.46, 3.26), 5.29(3.59, 7.21)kg, respectively. After adjusting for covariates, the results of multiple linear regression analysis showed that total body fat mass (β=0.010), abdominal fat mass (β=-0.100), and hip fat mass (β=0.104) were significant associations with total body BMD (all P<0.01). Sexstratified analysis revealed that in boys, total body fat mass (β=0.008) and hip fat mass (β=0.058) were positively associated with BMD, while thigh fat mass (β=-0.038) showed a negative association with total body BMD (all P<0.05). In girls, total body fat mass (β=0.013), hip fat mass (β=0.163), and thigh fat mass (β=0.023) were positively associated with total body BMD, whereas abdominal fat mass (β=-0.196) showed a negative association with total body BMD (all P<0.05). Among children and adolescents with body fat percentage below the standard range, within the standard range and above the standard range, total body fat masses were positively associated with total body BMD (β=0.021, 0.016, 0.015); among children and adolescents with body fat percentage within the standard range while upper limb (β=-0.042), abdominal (β=-0.067), and thigh fat mass (β=-0.018) showed negative associations with total body BMD, and hip fat mass demonstrated a positive association with total body BMD (β=0.082) (all P<0.05). Conclusion Regional fat distribution is associated with total body BMD in children and adolescents, with the nature of these associations varying by sex and body fat percentage.