Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

BACKGROUND:Inter-limb asymmetry is a common phenomenon observed during human growth and development.Prolonged specialized training can lead to specific adaptations in inter-limb asymmetry among athletes.OBJECTIVE:To review the formation causes,manifestations,and impacts of inter-limb asymmetry on sports performance,and provide an overview of the relevant assessment methods and intervention strategies.METHODS:A literature search was conducted in the CNKI,WanFang,PubMed,and Web of Science databases from their inception to September 2024.The search terms included"asymmetry,asymmetries,asymmetric,asymmetrical,imbalance,strength,power,force,jump,sprint,athletic performance,anthropometry,injury"in English and Chinese.After excluding duplicate publications,irrelevant content,and conference papers,a total of 131 articles were finally included for analysis.RESULTS AND CONCLUSION:(1)Inter-limb asymmetry can be influenced by various factors including genetics,task demands,training regimens,injuries,fatigue,and limb preference.These factors lead to being primarily manifested in anatomical structure,strength performance,and task-specific asymmetry.(2)An increase in inter-limb asymmetry can result in impaired performance in bilateral in-phase symmetric movements.However,the relationship between increased inter-limb asymmetry and bilateral out-of-phase symmetric movements remains unclear and requires further investigation.(3)Training interventions have been shown to effectively mitigate inter-limb asymmetry,with unilateral training demonstrating superior outcomes compared with bilateral training.The choice of training methods and content should be tailored to meet the specific demands of the sport.(4)To further clarify the relationship between inter-limb asymmetry and athletic performance,it is recommended that future research adopt the concept of"task specificity"in inter-limb asymmetry.This includes standardizing study designs,selecting sensitive testing methods and indicators,unifying calculation methods to provide more high-quality evidence,and establishing categorized warning threshold standards for inter-limb asymmetry in different sports.

ObjectiveTo construct and validate a risk assessment model for post-transplant diabetes mellitus （PTDM） using multiple machine learning algorithms， and to realize the early identification of PTDM. MethodsA retrospective analysis was performed for the clinical data of the patients who underwent allogeneic liver transplantation in The First Hospital of Shanxi Medical University from April 1， 2020 to December 31， 2024， and they were randomly divided into a training set and a validation set at a ratio of 7∶3. The LASSO regression analysis combined with 5-fold cross-validation was used for feature selection. Seven machine learning models were developed in the training set， i.e.， logistic regression （LR）， decision tree （DT）， Naive Bayes （NB）， random forest （RF）， K-nearest neighbor （KNN）， extreme gradient boosting （XGBoost）， and adaptive boosting （AdaBoost）. In the validation set， various methods were used to assess the predictive performance of each model， such as accuracy， precision， recall rate， specificity， F1 score， area under the receiver operating characteristic curve （AUROC）， and area under the precision-recall curve （AUPRC）. The Brier score and decision curve analysis were used to assess the calibration and clinical practicability of the models， and the SHAP method was used to analyze feature importance. The independent-samples t test or the Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. ResultsA total of 135 liver transplant recipients were enrolled， among whom 26 developed PTDM， and there were 94 patients in the training set and 41 in the validation set. Feature extraction and screening identified 7 key features of sex， overweight or obesity， anhepatic phase， time of operation， length of hospital stay， early postoperative hypomagnesemia， and impaired fasting glucose （IFG）. In the validation set， the XGBoost model showed the best predictive performance， with an AUROC of 0.907 （95% confidence interval ［CI］： 0.807 — 0.989）， an AUPRC of 0.649 （95%CI： 0.339 — 0.955）， an accuracy of 0.878， a precision of 0.667， a recall rate of 0.750， an F1-score of 0.706， a specificity of 0.909， and a Brier score of 0.104. The decision curve analysis showed that when the threshold probability was below 0.667， application of the XGBoost model in clinical decision-making provided relatively high net benefit. The SHAP analysis showed that the length of hospital stay ranked first in terms of feature importance， followed by time of operation， overweight or obesity， sex， IFG， anhepatic phase， and early postoperative hypomagnesemia. ConclusionThe risk assessment model for PTDM in liver transplant recipients based on XGBoost algorithm has excellent performance and can effectively identify high-risk individuals； however， multicenter large-sample data are needed for further validation.

BACKGROUND:Inter-limb asymmetry is a common phenomenon observed during human growth and development.Prolonged specialized training can lead to specific adaptations in inter-limb asymmetry among athletes.OBJECTIVE:To review the formation causes,manifestations,and impacts of inter-limb asymmetry on sports performance,and provide an overview of the relevant assessment methods and intervention strategies.METHODS:A literature search was conducted in the CNKI,WanFang,PubMed,and Web of Science databases from their inception to September 2024.The search terms included"asymmetry,asymmetries,asymmetric,asymmetrical,imbalance,strength,power,force,jump,sprint,athletic performance,anthropometry,injury"in English and Chinese.After excluding duplicate publications,irrelevant content,and conference papers,a total of 131 articles were finally included for analysis.RESULTS AND CONCLUSION:(1)Inter-limb asymmetry can be influenced by various factors including genetics,task demands,training regimens,injuries,fatigue,and limb preference.These factors lead to being primarily manifested in anatomical structure,strength performance,and task-specific asymmetry.(2)An increase in inter-limb asymmetry can result in impaired performance in bilateral in-phase symmetric movements.However,the relationship between increased inter-limb asymmetry and bilateral out-of-phase symmetric movements remains unclear and requires further investigation.(3)Training interventions have been shown to effectively mitigate inter-limb asymmetry,with unilateral training demonstrating superior outcomes compared with bilateral training.The choice of training methods and content should be tailored to meet the specific demands of the sport.(4)To further clarify the relationship between inter-limb asymmetry and athletic performance,it is recommended that future research adopt the concept of"task specificity"in inter-limb asymmetry.This includes standardizing study designs,selecting sensitive testing methods and indicators,unifying calculation methods to provide more high-quality evidence,and establishing categorized warning threshold standards for inter-limb asymmetry in different sports.

The application of immunosuppressants has significantly reduced the incidence rate of rejection reaction after liver transplantation， but the clinical efficacy of immunosuppressants is greatly affected by individual differences between patients. This article systematically reviews the recent research advances in the interaction between immunosuppressants and gut microbiota， with a focus on the regulatory role and mechanism of intestinal microflora communities on the efficacy of immunosuppressants. Studies have shown that intestinal microbiome is one of the key factors influencing the efficacy of immunosuppressive therapy after liver transplantation. This review aims to provide a theoretical basis for in-depth research in this field and provide new insights for developing individualized immunosuppressive treatment regimens based on the regulation of intestinal microflora.

Objective: To analyze the mediating effect of self-efficacy on the relationship between social support and depression symptoms among elderly patients with type 2 diabetes mellitus (T2DM), so as to provide the evidence for improving mental health intervention strategies in this population. Methods: From June to July 2024, elderly patients aged ≥60 years with T2DM receiving basic public health management services were recruited from four community health service centers in Nanjing City using convenience sampling. Demographic and disease-related information were collected through questionnaire surveys. Depression symptoms, self-efficacy, and social support were assessed using the 9-item Patient Health Questionnaire, the Diabetes Self-Efficacy Scale, and the Social Support Rating Scale, respectively. A structural equation model was constructed using Mplus 8.3 to examine the mediating effect of self-efficacy on social support and depression symptoms. The significance of the mediating effect was tested using the Bootstrap method. Results: A total of 604 elderly patients with T2DM were surveyed. The median age was 72.00 (interquartile range, 9.00) years. There were 292 males (48.34%) and 312 females (51.66%). The median score of depression symptoms was 2.00 (interquartile range, 5.00) points. A total of 176 participants were identified as having depressive symptoms, with a detection rate of 29.10%. The median scores of self-efficacy and social support were 4.11 (interquartile range, 0.78) and 39.00 (interquartile range, 11.00) points, respectively. The mediation analysis showed that social support had a direct negative effect on depression symptoms among elderly patients with T2DM, with an effect value of -0.137 (95%CI: -0.226 to -0.043). Social support also indirectly affected depression symptoms through self-efficacy, with an effect value of -0.066 (95%CI: -0.099 to -0.037). The mediating effect accounted for 32.51% of the total effect. Conclusions Self-efficacy plays a partial mediating role between social support and depressive symptoms among elderly patients with T2DM. It is recommended to reduce the risk of depression symptoms in this population by improving social support levels and enhancing self-efficacy.

Objective: To analyze the healthcare-seeking delay and its influencing factors among pulmonary tuberculosis patients in Kaihua County, Zhejiang Province from 2016 to 2025, so as to provide a basis for identifying high-risk groups and optimizing comprehensive prevention and control measures for pulmonary tuberculosis. Methods: Data on pulmonary tuberculosis patients registered in Kaihua County from 2016 to 2025 were collected through the Tuberculosis Information Management System of Chinese Disease Prevention and Control Information System. The data included demographic information, disease and treatment information, and treatment policy phases. Factors affecting delay in healthcare-seeking among pulmonary tuberculosis patients were analyzed using a multivariable logistic regression model. Results: A total of 2 069 pulmonary tuberculosis patients were registered in Kaihua County from 2016 to 2025. There were 1 480 males (71.53%) and 589 females (28.47%). The median age was 64.00 (interquartile range, 20.00) years. There were 972 patients with healthcare-seeking delay, with a healthcare-seeking delay rate of 46.98%. The rates of healthcare-seeking delay were relatively high among tuberculosis patients aged >40-60 years, those seeking treatment due to symptoms, and those in the basic policy guarantee period, at 51.96%, 56.33%, and 49.25%, respectively. The rates of healthcare-seeking delay among tuberculosis patients from 2016 to 2025 were 55.81%, 44.25%, 50.00%, 47.27%, 42.98%, 51.64%, 50.79%, 44.38%, 43.13% and 38.67%, showing a downward trend (P<0.05). Multivariable logistic regression analysis show that, compared with pulmonary tuberculosis patients seeking medical consultation due to symptoms, those identified through physical examinations/active screening (OR=0.024, 95%CI: 0.011-0.047) and referrals/tracking/other sources (OR=0.781, 95%CI: 0.639-0.954) had a lower risk of healthcare-seeking delay. Conclusions From 2016 to 2025, the overall rate of healthcare-seeking delay among pulmonary tuberculosis patients in Kaihua County showed a downward trend from 2016 to 2025, but remained at a moderate level nationwide. The source of patients was an influencing factor for healthcare-seeking delay. Health examination/active screening and referral/tracing could effectively reduce the risk of healthcare-seeking delay.

Objective:To compare the enrichment effects of ultrafiltration, polyethylene glycol (PEG) precipitation, aluminum salt precipitation, and anionic membrane adsorption-elution on viruses in drinking water.Methods:Using phage MS2 as the target virus, three different concentrations of drinking water samples were prepared, and the samples were enriched by ultrafiltration 1, ultrafiltration 2, PEG precipitation, aluminum salt precipitation, and anionic membrane adsorption-elution method, respectively. Real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-qPCR) was used to quantify MS2 nucleic acid in pre and post concentrated samples and the recovery rates of MS2 in samples with high, medium and low concentrations were compared among the five methods.Results:Comparing the MS2 enrichment recovery rates of individual enrichment method in water samples of different concentrations, ultrafiltration method 1, PEG precipitation method, aluminum salt precipitation method, and membrane adsorption-elution method were not affected by the sample concentration, and the differences of the recovery rates for the three concentration water samples among the four methods were not statistically significant ( P>0.05). The MS2 enrichment recovery rates of the five enrichment methods were significantly different in all concentration samples ( P<0.05). The recovery rates of ultrafiltration method 1 were higher in all three concentration samples, followed by aluminum salt precipitation and anionic membrane adsorption-elution, PEG precipitation were higher in high concentration samples, but lower in low and medium concentration samples, and the recovery rates of ultrafiltration method 2 were the lowest in all three concentration samples. Comparing the Ct values of MS2 in the enriched samples by five methods, the Ct values of ultrafiltration method 1 were the smallest in the three concentration water samples. There was no statistically significant difference in MS2 Ct values among the five enrichment methods in the medium and high concentration water samples ( P>0.05). In low concentration simulated water samples, only the difference of MS2 Ct value between ultrafiltration method 1 and ultrafiltration method 2 was statistically significant ( Z=16.000, P=0.016). Conclusions:Considering the operation simplicity, operation time and virus recovery rate after enrichment, ultrafiltration was the most effective method for virus enrichment in drinking water.

Objective:To evaluate the long-term protective efficacy of the recombinant Chinese hamster ovary cell-derived hepatitis B vaccine（CHO-HepB）26 years post-vaccination in the rural China.Methods:Zhengding county，Hebei province was designated as a rural monitoring site for CHO-HepB efficacy. Study participants included individuals born between 1997 and 1999 who had completed the three-dose CHO-HepB primary series without booster doses. A cross-sectional survey was conducted in late 2024 using random sampling. Demographic and vaccination history data were collected via questionnaires，and hepatitis B virus（HBV）serological markers were detected using chemiluminescence. Historical surveillance data were integrated to infer infection statuses of HBsAg-positive individuals and evaluate longitudinal trends in anti-HBs seropositivity and antibody titers.Results:Among 178 participants（mean time since vaccination：26.2 years），the seroprevalence rates were 0.6% for HBsAg（95% CI：0.0%-1.6%），64.6% for anti-HBs（95% CI：57.6%-71.6%），and 1.1% for anti-HBc（95% CI：0.0%-2.7%）. Compared to the pre-vaccination baseline HBsAg positivity of 11.3% in children under 10 years of age，the estimated vaccine protection rate was 95%. Two notable cases were identified：one with concurrent HBsAg and anti-HBc positivity and one with anti-HBs and anti-HBc positivity，suggestive of transient HBV exposure（1999—2009）without chronicity. Natural immune boosting was inferred for the latter case based on anti-HBs titer dynamics. Longitudinal analysis of four prior cross-sectional surveys（2005，2009，2013，and 2017）revealed no significant upward trends in HBsAg and anti-HBc positivity（both P>0.05）over 26 years，while anti-HBs seropositivity declined significantly（ P<0.05）from 6 to 26 years post-vaccination. Conclusion:The CHO-HepB vaccine demonstrates sustained immunological persistence and robust long-term protection up to 26 years post-immunization. Continued emphasis on rigorous implementation of mother-to-child transmission prevention strategies is critical for future hepatitis B control.

Objective:To compare the efficacy of transpulmonary pressure (Ptp) and driving pressure (DP) in guiding lung-protective ventilation strategies in patients with acute respiratory distress syndrome (ARDS).Methods:In this randomized controlled trial, 22 ARDS patients of either sex, aged 18-80 yr, with a body mass index of 18-30 kg/m 2, were divided into 2 groups ( n=11 each) using a random number table method: Ptp group and DP group. DP group received a tidal volume of 4-6 ml/kg with a plateau pressure<30 cmH 2O (1 cm H 2O=0.098 kPa) and driving pressure<16 cmH 2O. In Ptp group, the positive end-expiratory pressure (PEEP) and tidal volume were adjusted to maintain end-inspiratory Ptp <25 cmH 2O and end-expiratory Ptp 0-5 cmH 2O based on the setting mentioned in DP group. Oxygenation index, PEEP, plateau pressure, central venous pressure, heart rate, mean arterial pressure, parameters of liver and kidney function, mechanical ventilation duration, and the mortality in the intensive care unit were recorded on admission to the operating room and at 24 and 48 h after treatment. Results:Compared to DP group, significant changes were found in the main effects of oxygenation indices and time effects in Ptp group, and significant changes were found in the main effect of PEEP, with mean arterial pressure increasing ( P<0.05), and no significant differences were observed in the other parameters regarding group effects, time effects, or interactions in PEEP group ( P>0.05). Conclusions:Ptp provides a superior efficacy than DP in guiding lung-protective ventilation strategies for the patients with ARDS.