ObjectiveTo investigate and manage an imported dengue fever (DF) outbreak in Shanghai in 2024, to summarize the experience and lessons learned from the on-site management, and to provide a reference basis for future prevention and control of DF. MethodsEpidemiological investigation and case search were carried out for an imported DF outbreak in Shanghai, 2024. Real-time fluorescence polymerase chain reaction (RT-PCR) was used to detect dengue virus nucleic acid in the serum samples from cases. Meanwhile, emergency vector surveillance and mosquito control measures were carried out in the affected areas, and the effectiveness of the management was evaluated. ResultsAccording to the epidemiological investigation, it was confirmed that this epidemic was a family cluster of imported DF, with both cases infected in Thailand and developed symptoms successively after returning to Shanghai. Laboratory testing identified the pathogens as dengue virus serotype-3 (DENV-3). In the core and precautionary area, ultra-low-volume space spraying and residual spraying were combined to kill adult mosquitoes, and at the same time, comprehensive cleaning and elimination of mosquito breeding sites was carried out. After 2 weeks, the Breteau Index (BI) in the core area decreased from 20 to 5, and the mosquito net trap index decreased from 2 mosquitoes (net·hour)^-1 to 0.67 mosquitoes (net·hour)^-1. Continuous implementation of mosquito control measures kept the BI and net trap index below the safety thresholds [BI<5 and mosquito net trap index <2 mosquitoes (net·hour)^-1] both in the core and precautionary area. ConclusionEarly diagnosis and isolation of patients, combined with rapid suppression of the density of vector Aedes mosquitoes, are the key measures to prevent the transmission of imported DF cases.

ABSTRCT AIM:To verify the effect of polygona-tum polysaccharide(PSP)combined with TGF-β3 in inducing the differentiation of rat tendon-derived stem cells(TDSCs)into chondrocytes by activating the TGF-β3/Smad2 pathway.METHODS:TDSCs were extracted from rat tail tendons using enzyme digestion,purified,passaged,and identified via flow cytometry.TDSCs were treated with different concentrations of PSP,and the optimal growth con-centration was determined using the CCK-8 assay.TDSCs were divided into four groups:PSP,TGF-β3,PSP+TGF-β3,and Control for differentiation induc-tion.Chondrogenic differentiation was evaluated using morphological observations,toluidine blue staining,immunofluorescence staining,and West-ern blot analysis to detect COLⅡ,SOX9,and AGG.Western blot was also used to measure the expres-sion levels of Smad2 and p-Smad2 to evaluate the activation of the TGF-β3/Smad2 pathway after chondrogenic induction.RESULTS:Flow cytometry analysis showed that TDSCs highly expressed CD90 and CD29,while CD11b and CD45 expression was low.The CCK-8 assay indicated that 5 μmol/L PSP was the optimal intervention dose.Toluidine blue staining revealed that the blue staining area in the PSP,PSP+TGF-β3,and TGF-β3 groups was larger compared to the Control group.Immunofluores-cence analysis demonstrated that COLⅡ expression was significantly increased in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest expression in the PSP+TGF-β3 group(P＜0.05).Western blot analy-sis showed that the levels of p-Smad2/Smad2,COLⅡ,SOX9,and AGG were elevated in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest ex-pression in the PSP+TGF-β3 group(P＜0.05).Compared to the Control group,the TGF-β3 and PSP groups also showed significantly increased expression(P＜0.05).CONCLUSION:PSP promotes the proliferation and chondrogenic differentiation of TDSCs,possibly by activating the TGF-β3/Smad2 pathway.

Objective To develop and validate a machine learning-based predictive model to assess the in-hospital mortality risk of patients with myocardial infarction(MI)complicated by heart failure(HF)undergoing percutaneous coronary intervention(PCI).Methods This retrospective study analyzed MI patients with HF who underwent PCI at The First Affiliated Hospital of Xinjiang Medical University from January 2019 to January 2023.Patient data,including demographic characteristics,vital signs,laboratory test results,imaging parameters and medication use,were collected and randomly divided into a training set(70％)and a validation set(30％).The extreme gradient boosting(XGBoost)model was used to identify variables significantly associated with in-hospital mortality,and the Shapley additive explanations(SHAP)model was applied to assess feature importance.A predictive model was then constructed using univariate and multivariate Logistic regression analyses.Model performance was evaluated using receiver operating characteristic(ROC)curves,area under the curve(AUC)values,calibration curves,and decision curve analysis.Finally,a nomogram was developed for intuitive risk assessment.Results A total of 1 214 MI patients with HF were included in the study,with a median age of 64 years.The in-hospital mortality rate was 7.41％(90 deaths).XGBoost feature selection identified ten key predictive variables:age,myoglobin,albumin,fasting blood glucose,N-terminal pro-B-type natriuretic peptide(NT-proBNP),diabetes mellitus,creatinine,cystatin C,procalcitonin,and left ventricular ejection fraction.Based on these variables,a Logistic regression model was developed,with seven final predictors:age,diabetes mellitus,creatinine,fasting blood glucose,cystatin C,NT-proBNP,and albumin.The model demonstrated high predictive accuracy,with AUC value of 0.869(95％CI:0.84-0.89)in the training set and 0.827(95％CI:0.79-0.85)in the validation set.The calibration curve indicated that the predicted probabilities were consistent with the actual observed outcomes,and decision curve analysis showed that the model had a high net benefit across various decision thresholds.Conclusion This study developed a machine learning-based predictive model incorporating Logistic regression to assess the in-hospital mortality risk of MI patients with HF undergoing PCI.The model demonstrated high predictive performance and clinical utility.The nomogram derived from this model provides an intuitive tool for individualized risk assessment,aiding clinicians in the early identification of high-risk patients,optimizing intervention strategies,and improving patient outcomes.

Objective To construct and validate machine learning-based models to predict the risk of acute kidney injury(AKI)following percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 2 315 STEMI patients who underwent PCI between January 2020 and June 2023 were included;306(13.2％)of them developed AKI.Baseline variables were screened using LASSO regression,with the optimal λ value selected via 10-fold cross-validation to identify AKI-associated features.Subsequently,eight distinct machine learning models were constructed and evaluated for their predictive performance.SHAP value analysis was employed to assess the impact of key variables on model predictions.Results LASSO regression identified seven variables significantly associated with AKI,including age,multivessel disease,preoperative creatinine,heart failure,white blood cell count,hemoglobin,and albumin levels.Among all the models,the light gradient boosting machine(LGBM)and extreme gradient boosting(XGB)demonstrated the best predictive performance,with training set AUCs being 0.899(95％CI:0.877-0.921)and 0.893(95％CI:0.868-0.918),and validation set AUCs being 0.809(95％CI:0.763-0.856)and 0.871(95％CI:0.833-0.909),respectively.SHAP analysis revealed that albumin,age,preoperative creatinine,and white blood cell count were the primary contributors to AKI risk.Conclusion This study successfully developed and validated machine learning-based predictive models capable of effectively identifying the risk of AKI following PCI in STEMI patients,thus providing valuable support for clinical decision-making.

Objective This study aimed to examine the risk factors and prognostic factors of brucellar spondylitis for early prevention and treatment of the disease,and improving the outcomes of patients.Methods A retrospective case-control study was conducted on the patients with brucellosis who were hospitalized in the Third Hospital of Hebei Medical University from June 2020 to June 2022.Patients were assigned to brucellosis without spondylitis group or brucellar spondylitis group according to the presence of spondylitis.The patients in brucellar spondylitis group were followed for 1 year.Then they were stratified into a subgroup of good or poor prognosis according to clinical outcomes.The dataset for the demographic and clinical variables of patients were analyzed using SPSS 26.0 software.Results A total of 300 patients with brucellosis were enrolled,including 113 cases of brucellosis without spondylitis and 187 cases of brucellar spondylitis.Multivariate analysis showed that age,time from onset to diagnosis,low back pain,and erythrocyte sedimentation rate were independent risk factors for brucellar spondylitis(P＜0.05).Of the 154 cases of brucellar spondylitis with known outcomes,121 cases showed good prognosis and 33 cases had poor prognosis.COX regression analysis showed that the time from onset to diagnosis,diabetes mellitus,paravertebral abscess,and neurological impairment were independent risk factors for poor prognosis in patients with brucellar spondylitis(P＜0.05).Conclusions Old age,prolonged time from onset to diagnosis,low back pain,and increased erythrocyte sedimentation rate are independent risk factors for spondylitis in patients with brucellosis.Prolonged time from onset to diagnosis,diabetes mellitus,paravertebral abscess,and neurological impairment are independent risk factors for poor prognosis of brucellar spondylitis.

Objective To analyze the long-term trend in the disease burden of congenital birth defects(CBDs)among neonates in China from 1990 to 2021,compare the trend with global patterns,and identify key subtypes along with their association with socioeconomic status to provide evidence for public health interventions.Methods Utilizing data from the Global Burden of Disease Study 2021(GBD 2021),we extracted indicators including disability-adjusted life years(DALYs),mortality,and prevalence for the neonatal period(＜28 days)in China,encompassing ten major CBD subtypes.Joinpoint regression analysis was employed to calculate annual percent changes and estimate annual percent changes(EAPC),with comparisons of subtype composition between 1990 and 2021.Nonlinear regression was used to assess the relationship between DALYs rates and the Socio-demographic Index(SDI).Results From 1990 to 2021,DALYs rates for neonatal CBDs declined significantly both globally and in China,with China's EAPC at-4.67％[95％CI:(—5.06,—4.28)],substantially exceeding the global average of-1.70％[95％CI:(—1.75,—1.64)].Congenital heart anomalies remained the primary burden,while neural tube defects and orofacial clefts in China showed notable reductions(EAPCs of-7.25％and-11.22％,respectively).However,DALYs rates for congenital musculoskeletal and limb anomalies exceeded global expected levels.A resurgence in the prevalence was observed post-2015,with higher burdens in males.DALYs rates exhibited a negative correlation with SDI.Conclusion China has achieved significant reductions in the neonatal CBDs burden,surpassing global trends;yet challenges persist in managing congenital heart anomalies and musculoskeletal defects.Future efforts should focus on enhancing early screening,surgical interventions,and regional equity to align with global health objectives.

ABSTRCT AIM:To verify the effect of polygona-tum polysaccharide(PSP)combined with TGF-β3 in inducing the differentiation of rat tendon-derived stem cells(TDSCs)into chondrocytes by activating the TGF-β3/Smad2 pathway.METHODS:TDSCs were extracted from rat tail tendons using enzyme digestion,purified,passaged,and identified via flow cytometry.TDSCs were treated with different concentrations of PSP,and the optimal growth con-centration was determined using the CCK-8 assay.TDSCs were divided into four groups:PSP,TGF-β3,PSP+TGF-β3,and Control for differentiation induc-tion.Chondrogenic differentiation was evaluated using morphological observations,toluidine blue staining,immunofluorescence staining,and West-ern blot analysis to detect COLⅡ,SOX9,and AGG.Western blot was also used to measure the expres-sion levels of Smad2 and p-Smad2 to evaluate the activation of the TGF-β3/Smad2 pathway after chondrogenic induction.RESULTS:Flow cytometry analysis showed that TDSCs highly expressed CD90 and CD29,while CD11b and CD45 expression was low.The CCK-8 assay indicated that 5 μmol/L PSP was the optimal intervention dose.Toluidine blue staining revealed that the blue staining area in the PSP,PSP+TGF-β3,and TGF-β3 groups was larger compared to the Control group.Immunofluores-cence analysis demonstrated that COLⅡ expression was significantly increased in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest expression in the PSP+TGF-β3 group(P＜0.05).Western blot analy-sis showed that the levels of p-Smad2/Smad2,COLⅡ,SOX9,and AGG were elevated in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest ex-pression in the PSP+TGF-β3 group(P＜0.05).Compared to the Control group,the TGF-β3 and PSP groups also showed significantly increased expression(P＜0.05).CONCLUSION:PSP promotes the proliferation and chondrogenic differentiation of TDSCs,possibly by activating the TGF-β3/Smad2 pathway.

Objective:To understand the prevalence of frailty and the importance of its influencing factors in adult population in Shaanxi Province.Methods:The data were from Shaanxi baseline survey of natural population cohort study in northwest China during 2018-2019. The frailty index (FI) was constructed to evaluate the frailty status of the population, and XGboost model combined with Shapley method was used to analyze the importance of the sociodemographic and life behavior factors affecting the prevalence of frailty by gender and age.Results:A total of 25 079 subjects were included, in whom 964 (3.8%) had frailty, and there was no significant difference in the overall prevalence of frailty between women (3.9%) and men (3.8%) ( P=0.629), but there was a gender specific difference in the distribution of FI ( P<0.001), and the proportion of the pre-frailty in men was higher than that in women. The prevalence of frailty increased with age ( P<0.001), the prevalence of frailty were 1.3%, 2.5% and 7.8% in young, middle-aged and elderly women, respectively, and 1.9%, 2.7% and 5.5% in young, middle-aged and elderly men, respectively. Sociodemographic characteristics and lifestyle patterns were both influencing factors for the prevalence of frailty, but their importance varied with gender and age. The top five contributing factors were education level, staying up late, annual family income level, sedentary time and marital status in young women, and staying up late, smoking, annual family income level, sedentary time and drinking in young men. The top five contributing factors were education level, annual family income level, passive exposure to smoking, staying up late, and sedentary time in middle-aged women, and annual family income level, education level, sedentary time, staying up late and drinking in middle-aged men. The top five contributing factors were annual family income level, passive exposure to smoking, sedentary time, marital status, and smartphone use in elderly women, and education level, annual family income level, smoking, smartphone use and sedentary time in elderly men. Conclusions:There are gender specific differences in the distribution of FI in Shaanxi. The prevalence of frailty increased with age, but young and middle-aged people also have frailty risk. The prevalence of frailty in young men was mainly related to unhealthy life behaviors, such as staying up late, smoking, sedentary behavior and drinking, while the prevalence of frailty in middle-aged and elderly men and women were more affected by sociodemographic factors, such as education level, economic status and marital status.

BACKGROUND:Individuals with chronic ankle instability are prone to inversion ankle sprains during landing.Moderately increasing the foot toe-out angle during landing may reduce the occurrence of inversion ankle sprains,but no studies have directly demonstrated this effect. OBJECTIVE:To explore the effect of increased toe-out angle during landing on the peak inversion angle,peak angular velocity,and the time to peak inversion among individuals with and without chronic ankle instability. METHODS:A total of 60 participants were recruited for this study,including 30 individuals with chronic ankle instability and 30 without chronic ankle instability.The study utilized a simulated sprain apparatus for drop-landing tests,featuring a platform that could tilt forward by 24° and inward by 15°,thus simulating the foot position during an ankle inversion sprain.Participants were required to perform drop-landing tests under two landing conditions:natural landing and toe-out landing,with the latter involving a greater foot toe-out angle,over 150%more than the former.Kinematic data of participants were recorded using a 12-camera three-dimensional motion capture system.Data analysis was conducted using two-way repeated measures analysis of variance and Spearman correlation analysis. RESULTS AND CONCLUSION:(1)Significant main effects of condition were found for peak inversion angle during drop-landing(P<0.001,η2 p=0.270),peak inversion velocity(P=0.015,η2 p=0.098),and peak inversion time(P<0.001,η2 p=0.260);a significant main effect of group was found for peak inversion velocity(P=0.029,η2 p=0.080).(2)There were significant negative correlations between the foot toe-out angle at landing and the peak ankle inversion angle(P=0.021,r=-0.310;P=0.042,r=-0.278)as well as the peak inversion time(P=0.018,r=-0.312;P=0.021,r=-0.309)in both chronic ankle instability and non-chronic ankle instability groups.Moreover,a significant negative correlation was also found between the foot toe-out angle and peak inversion velocity in the chronic ankle instability group(P=0.021,r=-0.312).(3)It is indicated that increasing the foot toe-out angle at landing can reduce the peak inversion angle,peak inversion velocity,and the peak inversion time during landing in patients with chronic ankle instability and non-chronic ankle instability,thereby decreasing the risk of ankle inversion sprains.