ObjectiveTo analyze the epidemiological characteristics of latent tuberculosis infection (LTBI) among newly detained populations in eastern China, to identify high-risk groups, and to provide a scientific basis for formulating tuberculosis prevention and control strategies in the prison system. MethodsA cross-sectional study was conducted among the newly admitted detainees in two prisons in eastern China in 2022. Data on demographic characteristics, behavioral risk factors and previous disease history of the research subjects were collected through a structured questionnaire survey. The LTBI status of the detainees was determined using the QuantiFERON-TB Gold In-Tube (QFT-GIT) method. Lasso regression was used to screen variables, followed by multivariate logistic regression analysis to investigate the influencing factors of LTBI. ResultsA total of 305 detainees were included in the study. The median age of detainees was 35 (31, 43) years. The study population was predominantly male (67.21%), of Han ethnicity (95.41%), had a junior or senior high school education (59.34%), and was unemployed (31.80%). A history of smoking was reported by 52.79% of participants, while 57.70% reported no alcohol consumption. The majority had no history of hypertension (85.90%), diabetes mellitus (93.77%), human immunodeficiency virus (HIV) infection (97.38%), familial genetic diseases (95.08%), surgery or trauma (73.77%), drug use (92.79%), or hepatitis (93.77%). The LTBI rate was 14.75%. After comparing the demographic characteristics of LTBI and non-infected groups, it was found that smoking history (χ²=7.40, P=0.025), drug use history (χ²=5.49, P=0.019), and HIV infection (χ²=8.12, P=0.004) were statistically correlated with LTBI infection. The results of multivariate logistic regression analyses showed that smoking [adjusted odds ratio (aOR)=4.08, 95%CI: 1.60‒10.42, P=0.003], HIV infection (aOR=11.57, 95%CI: 2.50‒53.51, P=0.002) and drug use (aOR=3.04, 95%CI: 1.02‒9.09, P=0.046) were risk factors for LTBI. ConclusionThe LTBI rate among newly detainees in two prisons in eastern China is slightly lower than that among long-term detainees. Early screening and intervention should be implemented for newly detainees, with particular attention focused on high-risk groups such as those with a history of smoking, HIV infection, or drug use.

Objective To explore the factors affecting social frailty in elderly patients with mild ischemic stroke and conduct interpretable analysis to provide references for the implementation of targeted intervention.Methods Using convenience sampling method,elderly mild ischemic stroke patients treated in a tertiary A hospital in Tangshan from September 2022 to August 2023 were selected as the survey subjects according to whether social weakness and no social weakness occurred 6 months after discharge.General Information Questionnaire,Chronic Illness Resources Survey,Family Care Index Questionnaire,Instrumental Activities of Daily Living Scale,Mini-Mental State Examination,International Physical Activity Questionnaire Short Form,and Social Frailty Scale were uesd to investigate.Univariate analysis,random forest-feature recurrence elimination screening variables were used to construct random forest models,and SHAP values were introduced for influencing factor analysis.Results A total of 818 elderly patients with mild ischemic stroke were included,and 110 patients were lost at 6 months,and 708 patients(86.55％)finally completed the survey.The prediction accuracy of random forest model was 0.828 and 0.807 in the training set and test set.The SHAP interpretability analysis results showed that impaired self-care ability,sedentary behavior,and the number of combined chronic diseases were positively associated with social weakness,ideal utilization of chronic disease resources,good family care and social weakness;the importance of characteristics was self-care ability,chronic disease resource utilization,family care,sedentary behavior,and combined chronic diseases.Conclusion The influencing factors of social frailty in elderly patients with mild ischemic stroke are complex,so medical staff should pay attention to the social function of elderly patients with mild ischemic stroke,and reduce the risk of social frailty by formulating personalized intervention measures.

OBJECTIVE To explore the time windows for postoperative pneumonia in patients undergoing different surgeries,providing evidence-based references for optimizing infection monitoring and prevention and control strategies.METHODS Sociodemographic characteristics,clinical information and surgical details of 263 patients with postoperative pneumonia from four different types of medical institutions between Jan.2019 and Dec.2024 were retrospectively collected.The time windows for postoperative pneumonia in patients undergoing different surgeries were analyzed.RESULTS There were no statistically significant differences in the time windows for post-operative pneumonia among groups in terms of sociodemographic factors and underlying diseases.However,sta-tistically significant differences were observed in the time windows for postoperative pneumonia based on surgery type,incision type,surgical approach and surgery duration(P＜0.05).The average time for the onset of postop-erative pneumonia in 263 patients was 2.00(1.00,7.00)days.The postoperative time windows varied for sur-geries involving different systems.The peak incidence occurred on day 0(16 cases)and day 1(17 cases)af-ter neurological surgery,while the peak incidence for digestive system and orthopedic surgeries was on day 1.The time span for the onset of pneumonia after skin surgeries was wider(0-53 days postoperatively)without a clear peak.In addition,33.33％of cardiovascular system surgery cases developed pneumonia 10 days postoperatively.There were also significant time differences in the diagnostic elements of postoperative pneumonia,with fever and abnormal white blood cell counts appearing earlier(median appearance time length:4.00 days)than lung imaging changes(median appearance time length:7.00 days).CONCLUSIONS This study demonstrates significant time differences in the on-set of postoperative pneumonia and confirms the significant spatiotemporal heterogeneity in the diagnostic elements of postoperative pneumonia.These findings provide a quantitative basis for developing dynamic,surgery-type-spe-cific monitoring protocols and prevention and control measures for postoperative pneumonia.

Objective:To investigate the current status of intellectual property (IP) knowledge, awareness, and perceived barriers among healthcare workers in community health centers.Methods:This cross-sectional study was conducted from October to November 2022. A self-designed questionnaire assessing IP knowledge, awareness, difficulties in patent applications, and willingness to participate in IP-related activities was administered to 366 healthcare workers across all 13 community health centers in Shanghai Minhang District.Results:Among the 366 respondents, 42.6% (156/366) self-reported awareness of basic IP concepts, while 23.8% (87/366) self-reported awareness of the patent application process. Only 4.1% (15/366) had patent application experience. Significant differences in self-reported awareness of basic IP concepts were found across educational levels and years of work experience ( P<0.05). Similarly, significant differences in awareness of the patent application process were observed across educational levels, years of work experience, age groups, and patent application experience ( P<0.05). Logistic regression analysis revealed that higher educational attainment was positively associated with awareness of both basic IP concepts and the patent application process. Longer work experience was negatively associated with awareness of basic IP concepts. Having patent application experience was positively associated with awareness of the patent application process. A majority (86.6%, 317/366) expressed strong willingness to engage in IP-related activities. However, 82.8% (303/366) perceived patent applications as challenging, with the primary reported obstacle being unfamiliarity with the application procedures (85.8%, 314/366). Conclusion:A gap exists between self-evaluation and actual knowledge of IP among community health workers in Shanghai Minhang District. Nonetheless, their willingness to participate in IP activities is high, with the primary obstacle identified as a lack of understanding of the patent application process.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective To explore the factors affecting social frailty in elderly patients with mild ischemic stroke and conduct interpretable analysis to provide references for the implementation of targeted intervention.Methods Using convenience sampling method,elderly mild ischemic stroke patients treated in a tertiary A hospital in Tangshan from September 2022 to August 2023 were selected as the survey subjects according to whether social weakness and no social weakness occurred 6 months after discharge.General Information Questionnaire,Chronic Illness Resources Survey,Family Care Index Questionnaire,Instrumental Activities of Daily Living Scale,Mini-Mental State Examination,International Physical Activity Questionnaire Short Form,and Social Frailty Scale were uesd to investigate.Univariate analysis,random forest-feature recurrence elimination screening variables were used to construct random forest models,and SHAP values were introduced for influencing factor analysis.Results A total of 818 elderly patients with mild ischemic stroke were included,and 110 patients were lost at 6 months,and 708 patients(86.55％)finally completed the survey.The prediction accuracy of random forest model was 0.828 and 0.807 in the training set and test set.The SHAP interpretability analysis results showed that impaired self-care ability,sedentary behavior,and the number of combined chronic diseases were positively associated with social weakness,ideal utilization of chronic disease resources,good family care and social weakness;the importance of characteristics was self-care ability,chronic disease resource utilization,family care,sedentary behavior,and combined chronic diseases.Conclusion The influencing factors of social frailty in elderly patients with mild ischemic stroke are complex,so medical staff should pay attention to the social function of elderly patients with mild ischemic stroke,and reduce the risk of social frailty by formulating personalized intervention measures.

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.

To summarize the research progress and to discuss current drug supplement status of radiation preventive and curative drugs,which would provide fresh thoughts for nuclear emergency rescue and therapy.Classification of clinically available and under-development radiation prevention and treatment drugs has been presented in terms of symptomatic and causative prevention and treatment drugs.We analyzed the necessity and challenges of establishing a supply system for radiation prevention and treatment and put forward counter measures and thinking prospects.Clinical stockpile of symptomatic drugs is relatively sufficient.Allopathic drugs are widely developed,however,the barriers between research and clinical translation and the inadequate market supply system pose greater demands and challenges to the provision of hospital radiation allopathic drugs.

Objective:Bidirectional causal associations of 41 cytokines with atopic dermatitis(AD)were explored based on a Mendelian randomization(MR)approach.Methods:Pooled data from genome wide association study(GWAS)of 41 cytokines and AD were utilized for instrumental variable(IV)screening,and single nucleotide polymorphism(SNP)affecting the results of MR analyses was excluded by the MR-PRESSO outlier test as well as by the MR Steiger filtering method.Two-sample bidirectional MR analyses were performed using inverse variance weighting(IVW),MR-Egger regression,and weighted median methods(WM).MR-Egger intercept term test and Cochran's Q test were performed to test the pleiotropy and heterogeneity of IV,and MR results were visu-alized by scatterplots,funnel plots,and leave-one-out plots.Results:Forward MR analysis showed that MIG(IVW:OR=0.89;95%CI:0.81～0.97;P=0.006)reduced the risk of AD development.In contrast,IL-5(IVW:OR=1.17;95%CI:1.01～1.36;P=0.042)and IL-18(MR Egger:OR=1.17;95%CI:1.03～1.33;P=0.030)increased the risk of AD development.Inverse MR analysis showed a potential causal association between AD and increased MIG(IVW:Beta=0.10;95%CI:0.02～0.17;P=0.014).None of the sensitivity analyses indicated pleiotropy and heterogeneity of the included IV.Conclusion:MIG may be an important marker in the progression of AD with a potential bidirectional causal association with risk of morbidity.IL-5 and IL-18 have a potential positive causal association for AD.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things(IoT)and blockchain technology,and evaluate its implementation effects.METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology.System effectiveness was evaluated from three dimensions:work efficiency,medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation(October to December 2024)and after the system implementation(January to March 2025).RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs,centered around the drug traceability code management system,was successfully established.The acceptance time for incoming drugs was shortened from(4.65±0.26)h before implementation to(0.34±0.08)h after implementation(P＜0.05).The number of collected drug traceability codes increased from 419 018 to 1 236 522,and the coverage rate of traceability codes rose from 28.36%to 89.88%(P＜0.05).The time pharmacists spent on drug expiry management per week decreased from(128.40±19.20)min to(0.56±0.13)min(P＜0.05),and the dispensing time for a single prescription(excluding a part of injections and repackaged drugs)was reduced from(143.25±17.67)s to(15.24±10.08)s(P＜0.05).The time for drug return was reduced from 129.90(122.32,137.00)s to 104.36(89.91,117.33)s(P＜0.05);the number of drug dispensing errors decreased from 2 cases to 0 cases.After the system was launched,there were no data security incidents in our outpatient pharmacy.CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality,improve pharmacist work efficiency,and reduce drug management risks,thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.