Objective: To analyze the school tuberculosis (TB) outbreaks and preventive treatment in Hefei from 2022 to 2024, so as to provide reference for TB prevention and control in schools. Methods: Data were collected on all school based TB outbreaks occurring during 2022-2024 in Hefei, defined as ≥2 epidemiologically linked TB cases within the same school during a single semester. Statistical analyses were performed using the Chi square test. Results: Close contacts exhibited significantly higher TB incidence (2.88%) and latent mycobacterium tuberculosis infection (LTBI) rates (13.80%) in the school TB outbreaks, compared to non close contacts (0.12% and 2.63%, respectively). Among close contacts, secondary school students showed lower TB incidence (0.48%) and LTBI prevalence (3.42%) than both primary school or younger children (0.68%, 6.95%) and college students ( 0.78% , 6.50%), with statistically significant differences ( χ 2=360.91, 6.37; 791.71, 102.03, all P <0.05). The proportion of LTBI individuals recommended for preventive therapy was higher in primary school or younger groups (98.59%) than in secondary (95.25%) or college students (86.34%) ( χ 2=25.86, P <0.01). However, among those recommended, close contacts had higher uptake (85.82%) and completion rates (87.25%) of preventive therapy than non close contacts (69.63% and 70.57%); similarly, secondary school students demonstrated higher uptake (91.21%) and completion rates (86.45%) compared to primary school or younger (88.57%, 83.87%) and college students (57.28%, 64.08%) ( χ 2=30.52, 26.72; 125.17, 38.84, all P <0.01). Subsequent TB incidence among LTBI close contacts (13.30%) and among those who did not complete preventive therapy (22.73%) were significantly higher than among non close contacts (2.80%, 2.41%), respectively ( χ 2=32.19, 13.87, both P <0.05). Conclusions In school TB outbreaks, close contacts face higher LTBI prevalence and subsequent TB risk than non close contacts. College students show notably low adherence to preventive therapy. It is necessary to take targeted measures to improve the compliance of preventive measures among students.

ObjectiveTo explore the role of the histone deacetylase Sirtuin-1 （SIRT1）/p53 signaling pathway in promoting apoptosis of non-small cell lung cancer cells （NSCLC） induced by the co-stimulatory molecule B7 homolog 3 （B7-H3）. MethodsThe GEPIA 2 platform was used for survival analysis of NSCLC patients based on B7⁃H3 gene expression levels. The Gene Enrichment Analysis （GSEA） method was used to analyze the enrichment characteristics of B7⁃H3 molecules in the gene set of cell apoptosis. In the non-small cell lung cancer A549 cell line， B7⁃H3 was knocked down， and the protein expression levels of SIRT1 and p53 were detected by Western blot. B7⁃H3 was overexpressed in A549 cells and the apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. Overexpression of B7⁃H3 and knockdown of SIRT1 were performed in A549 cell line. The expression levels of p53 and apoptosis-related proteins B-cell lymphoma/leukemia-2 （Bcl-2） and Bcl-2-associated X protein （Bax） were detected respectively by Western blot. Cell apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. ResultsThe overall survival of the B7-H3 high-expression group was significantly lower than that of the low-expression group （P<0.01）. B7-H3 was significantly enriched in the cell apoptosis signaling pathway and the p53 signaling pathway （P<0.05）. Compared with the control group， the expression of SIRT1 was significantly downregulated， and p53 was significantly upregulated in the B7⁃H3 knockdown group （both P<0.001）. Overexpression of B7-H3 significantly up-regulated SIRT1 protein expression （P<0.05）， down-regulated p53 expression （P<0.01）， and markedly increased the Bcl-2/Bax ratio of apoptosis-related proteins （P<0.001）. The results of Annexin V/PI double staining showed that the apoptosis rate of A549 cells with overexpressed B7⁃H3 decreased （the apoptosis rate of the control group was 26.72%±4.13%， while that of the B7⁃H3 overexpression group was 13.87%±0.82%； P<0.01）. In B7-H3-overexpressing cell lines， SIRT1 knockdown significantly reversed apoptosis （P<0.05）， up-regulated p53 protein expression （P<0.001）， and markedly reduced the Bcl-2/Bax ratio （P<0.001）. ConclusionB7-H3 molecule inhibits the apoptosis of non-small cell lung cancer cells via the SIRT1/p53 signaling pathway.

ObjectiveTo explore the clinical efficacy and mechanism of Bupi Qingfei prescription （BPQF） in treating stable bronchiectasis in the patients with syndromes of lung-spleen Qi deficiency and phlegm-heat accumulation in the lungs. MethodsA randomized， double-blind， placebo-controlled trial was conducted. Patients were randomized into BPQF and placebo control （PC） groups. On the basis of conventional Western medicine treatment， the BPQF granules and placebo were respectively administered at 10 g each time， twice a day， for a course of 24 weeks. The TCM symptom scores， Quality of Life Questionnaire for Bronchiectasis （QOL-B） scores， lung function indicators， T lymphocyte subsets， level of inflammatory factors in the sputum， level of neutrophil elastase （NE） in the sputum， and occurrence of adverse reactions were observed before and after treatment in the two groups. ResultsA total of 64 patients completed the study， encompassing 32 in the BPQF group and 32 in the PC group. After treatment， the BPQF group showed decreased TCM symptom scores （P<0.01）， increased QOL-B scores （P<0.01）， and declined levels of tumor necrosis factor （TNF）-α and NE （P<0.05， P<0.01）. The PC group showed decreased TCM symptom （except spleen deficiency） scores （P<0.01）， increased the QOL-B health cognition and respiratory symptom domain scores （P<0.05， P<0.01）， and a declined TNF-α level （P<0.01）. Moreover， the BPQF group had lower TCM symptom （except chest tightness） scores （P<0.05， P<0.01）， higher QOL-B （except treatment burden） scores （P<0.05， P<0.01）， and lower levels of interleukin-6 and TNF-α （P<0.05） than the PC group. Neither group showed serious adverse reactions during the treatment process. ConclusionBPQF can ameliorate the clinical symptoms of stable bronchiectasis patients who have lung-spleen Qi deficiency or phlegm-heat accumulation in the lungs by regulating the immune balance and inhibiting airway inflammatory responses.

OBJECTIVE To investigate the clinical effectiveness of triptorelin combined with Biejiajian pill in the treatment of adenomyosis （AM）. METHODS Totally 186 patients with AM admitted to Nanyang First People’s Hospital from January 2022 to October 2024 were selected as subjects and randomized into control group （n＝93） and observation group （n＝93） using the random number table method. Patients in the control group received subcutaneous injections of triptorelin acetate around the umbilicus. In addition to the treatment of control group， patients in the observation group orally administered Biejiajian pill. Both groups underwent treatment for 12 weeks and were followed up for 6 months post-treatment. The clinical efficacy， recurrence and the occurrence of adverse drug reactions were compared between the two groups. Traditional Chinese medicine （TCM） symptoms， endometrial receptivity indicators （endometrial thickness， uterine volume， endometrial resistance index and vascular index）， laboratory indexes （serum luteinizing hormone， follicle stimulating hormone， estradiol， carbohydrate antigen 125， insulin-like growth factor-1， and matrix metalloproteinase 9） were compared between the two groups before and after treatment. RESULTS A total of 164 patients completed the treatment and follow-up， among whom 80 cases were in control group and 84 cases in the observation group. The overall effective rate in the observation group was significantly higher than that in the control group， while the incidence of low estrogen levels and recurrence rate were significantly lower in the observation group compared to the control group （P＜0.05）. There were no statistically significant differences in the incidence of nausea or abnormal liver and kidney function between the two groups （P＞0.05）. After treatment， the pain Visual Analogue Scale scores， Pictorial Blood Loss Assessment Chart， TCM symptoms scores， endometrial thickness， uterine volume， endometrial resistance index， and laboratory indicators in both groups were significantly lower than those before treatment within the same group （P＜0.05）. Moreover， these values were significantly lower in the observation group compared to the control group （except for follicle stimulating hormone） （P＜0.05）. The endometrial vascular index of the two groups was significantly higher than that in the same group before treatment， and the observation group was significantly higher than the control group （P＜0.05）. CONCLUSIONS Triptorelin combined with Biejiajian pill has a definite therapeutic effect on AM， which can effectively improve the degree of dysmenorrhea and menstrual flow， improve endometrial receptivity， lower the recurrence rate in patients， and demonstrate good safety.

Objective To analyze the global burden of occupational noise-induced hearing loss (ONHL) from 1990 to 2021 and to predict its trends for 2025 to 2035. Methods Data on disability-adjusted life years (DALYs), age-standardized DALYs rates, and summary exposure values for ONHL were extracted from the Global Burden of Disease database. An age-period-cohort model was used to assess age, period, and cohort effects. Joinpoint regression was applied to calculate the annual percentage change in ASDRs. An autoregressive integrated moving average (ARIMA) model was employed to forecast DALY trends from 2025 to 2035. Results Global DALYs attributable to ONHL increased from 3.838 1 million person-years in 1990 to 7.847 4 million person-years in 2021, representing a 104.46% increase. DALYs attributable to ONHL increased by 64.93%, 94.30%, 111.51%, 114.64%, and 129.08% in high-, high-middle-, middle-, low-middle-, and low-Socio-demographic Index (SDI) regions, respectively. DALYs counts were consistently higher in males than in females. DALYs counts peaked in the older age group (60-64 years), whereas the DALYs rate of peaked in the older age group (70-74 years). Age-period-cohort model analysis revealed significant overall age effects in all five SDI regions (all P<0.01). There were a significant overall period and cohort effects in the high-middle SDI region (all P<0.01), but not in the other regions (all P>0.05). The ARIMA model projected that global DALYs due to ONHL would reach 9.650 0 million person-years by 2035, an increase of 22.97% compared with 2021, with the largest increase expected among individuals aged 55-59 years. Conclusion The global burden of ONHL has continuously increased from 1990 to 2021, particularly among male workers in low-SDI regions. This burden is expected to continue rising over the next decade.

ObjectiveTo investigate the time-dependent pattern of blue light-induced retinal damage in mice, establish a suitable animal model, and evaluate the protective effects of a compound formula containing lutein esters, DHA algal oil, Lycium ruthenicum, and other ingredients used as both food and medicine. MethodsThirty-two of the 56 SPF-grade male C57BL/6J mice were randomly divided into a control group and model groups (1 h, 3 h, and 6 h irradiation) (n=8 per group) to determine the optimal blue light irradiation time. First, mice were exposed to blue light from a 467 nm light-emitting diode at (5 000±200) lx for 1 h, 3 h, and 6 h, respectively. Retinal histopathology and thickness were examined using hematoxylin‑eosin (HE) staining. Serum malondialdehyde (MDA) and glutathione (GSH) levels were measured using assay kits. Retinal inflammatory cytokine mRNA expression was assessed by real-time fluorescent quantitative reverse transcription PCR. After 3 h of blue light exposure was confirmed as the appropriate modeling condition, the remaining 24 mice were used in an intervention experiment to evaluate the protective effect of the eye-protective compound formula on blue light-induced retinal damage. The mice were administered the compound formula (1 000 mg·kg^-1·d^-1) by gavage for 14 days, followed by 3 h of blue light irradiation, and the same indicators were evaluated as described above. ResultsWith prolonged irradiation time, the thickness of each retinal layer gradually decreased (P<0.05 to P<0.01) and cell arrangement became disordered. Serum MDA levels progressively increased (P<0.01), while GSH levels gradually decreased (P<0.01). The mRNA expression of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) in retinal tissue was significantly upregulated with increasing irradiation time. The 1 h irradiation group showed only minor changes (P>0.05), whereas the 6 h irradiation group exhibited the most pronounced changes (P<0.000 1). Therefore, 3 h of blue light irradiation (P<0.001), which showed significant yet moderate differences in all indicators, was selected as the subsequent modeling condition. After intervention with the eye-protective compound formula, compared with the model group, serum MDA level was significantly reduced (P<0.01), and serum GSH level was significantly increased (P<0.05). The expression levels of retinal inflammatory cytokines IL-1β (P<0.000 1), IL-6 (P<0.001), and TNF-α (P<0.01) were significantly downregulated. Total retinal thickness (P<0.01), as well as the thicknesses of the inner plexiform layer (P<0.05), inner nuclear layer (P<0.05), outer plexiform layer (P<0.05), and outer nuclear layer (P<0.01), were significantly increased compared with the model group. Histopathological examination also showed that the regularity and density of retinal cell arrangement were markedly better than those in the model group. ConclusionBlue light irradiation at a specific illuminance for 3 h can establish a stable mouse model of retinal damage. The compound formula alleviates retinal damage through antioxidant and anti-inflammatory pathways, providing an experimental basis for the development of related functional foods.

OBJECTIVE To develop a risk screening scale for medication adherence in anticoagulated patients and evaluate its reliability and validity， thereby providing an assessment tool for identifying medication adherence risks during anticoagulant therapy and implementing individualized interventions.METHODS Based on the protection motivation theory， a preliminary scale containing 20 items was developed through literature analysis， semi-structured interviews， expert consultation and a pilot survey. Convenience sampling was used to distribute questionnaires to patients receiving anticoagulant therapy at multiple medical institutions. Item analysis was conducted to select items. Exploratory factor analysis （EFA） and confirmatory factor analysis （CFA） were used to assess construct validity and further screen items. The New General Self-Efficacy Scale-Short Form （NGSES-SF） was used to assess criterion-related validity， and the internal consistency and split-half reliability of the scale were evaluated.RESULTS A total of 425 questionnaires were distributed， and 411 valid questionnaires were recovered， yielding an effective recovery rate of 96.71%. The final scale consisted of four dimensions：perceived severity， perceived susceptibility， response efficacy and self-efficacy， with a total of 11 items. EFA extracted four common factors， with a cumulative variance contribution rate of 68.805%. CFA showed the Chi-square degrees of freedom ratio was 1.839， the root mean square error of approximation was 0.064， the goodness-of-fit index was 0.945， the comparative fit index was 0.979， and the Tucker-Lewis index was 0.969. The total score of the scale and the scores of each dimension were significantly positively correlated with the scores of the criterion scale NGSES-SF （ P ＜0.05）， and the correlation coefficient between the total score of the scale and the total score of NGSES-SF was 0.346. The Cronbach’s α coefficient for internal consistency was 0.878， and the split-half reliability coefficient was 0.743.CONCLUSIONS The medication adherence risk screening scale for patients on anticoagulant therapy constructed in this study demonstrated good reliability and validity， which can be used to screen for medication adherence risk in patients on anticoagulant therapy， and serve as an assessment tool for stratified targeted interventions in clinical practice.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Objective:A predictive model for cirrhosis-associated hepatic encephalopathy (HE) was constructed and validated using a machine learning algorithm to evaluate the predictive efficacy of the model.Methods:Clinical data of patients with liver cirrhosis (4 537 cases) in the medical record system and laboratory information system of the First Hospital of Jilin University from January 2018 to December 2019 were collected and analyzed retrospectively. Based on the inclusion and exclusion criteria, 474 patients were finally included in the study. Cohort 1 included patients with cirrhosis without HE (113 cases) and patients with cirrhosis complicated with HE (108 cases) from January to December 2018, and was used for feature screening, model building, optimal algorithm selection, and internal validation of the cirrhosis complicated with HE risk prediction model. Cohort 2 included patients with cirrhosis without HE (133 patients) and patients with cirrhosis complicated with HE (120 patients) from January 2019 to December 2019 for external validation. Lasso regression was utilized to identify key predictive variables, and various models such as extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), random forest (RF), and support vector machine (SVM) were employed for model building and internal validation. The DeLong test was used to compare the predictive efficacy of the four models for HE, and the optimal algorithm was selected by combining the specificity or sensitivity. The area under the ROC curve, calibration curve and decision curve were applied to evaluate the predictive efficacy, accuracy of predicted probabilities and clinical utility of the model.Results:The 46 tests with<30% missing data in Cohort 1 were extracted as variables to be selected for modeling. Seven characteristic variables were obtained using Lasso regression screening, including hemoglobin (Hb), total bile acid (TBA), cholinesterase, total bilirubin, creatinine, prothrombin activity, and circulating platelets. The prediction model built by the LightGBM algorithm (HE-Lab7 model) predicted HE with an area under the curve (AUC) of 0.880, which was higher than that of XGBoost, RF, and SVM (all P<0.05), with a sensitivity of 0.825 and a specificity of 0.836. The Brier score of the calibration curve was 0.147, indicating that the predicted probability of the model is in good agreement with the actual probability of occurrence. Decision curves indicate that the model has a high clinical benefit. In Cohort 2, the HE-Lab7 model predicted HE with an AUC of 0.775, a sensitivity of 0.927, and a specificity of 0.758. Conclusion:The predictive efficacy of the cirrhosis-associated HE risk prediction model developed based on the optimal LightGBM algorithm using the large-scale test data based on four machine learning algorithms is good, which provides a reference basis for early prediction and identification of cirrhosis-associated HE.