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.

Objective:To explore the application efficacy of the continuous oral care program led by dental nurses in adolescent patients with fixed orthodontics and to provide a reference for continuous care to enhance the oral health level of patients.Methods:A randomized controlled trial was carried out in the Orthodontic Department of Shanghai Stomatological Hospital from June to December 2022. A total of 132 adolescent patients with fixed orthodontics were selected through the convenience sampling method and divided into the experimental group and the control group by the random number table method, with 66 patients in each group. The experimental group was provided with the continuous oral care program led by dental specialist nurses, while the control group received routine care. The intervention lasted for 12 months. The Oral Health Impact Scale, the Oral Health Self-Management Ability Questionnaire, and the plaque index were utilized to assess the intervention effect before and after the intervention.Results:A total of 65 participants in the experimental group completed the study, with an age of (14.41 ± 1.60) years, comprising 32 males and 33 females. In the control group, 64 participants completed the study, with an age of (14.15 ± 1.69) years, including 28 males and 36 females. Prior to intervention, there were no statistically significant differences in scores for oral health self-management ability, Oral Health Impact Profile-14, or total plaque index between the experimental and control groups (all P>0.05). Following intervention, the score for oral health self-management ability in the experimental group was (77.42 ± 11.70) points, significantly higher than (70.47 ± 17.49) points of the control group ( t = 2.65, P<0.05). Additionally, the score on the Oral Health Impact Profile-14 for the experimental group was (16.40 ± 3.45) points and their total plaque index was measured at 1.68 ± 0.55 both significantly lower than those recorded in the control group at (18.16 ± 3.79) points and a total plaque index of 1.92 ± 0.47 respectively ( t = - 2.75, - 2.55, both P<0.05). Conclusions:The implementation of the continuous oral care program led by dental specialist nurses is conducive to improving the oral health self-management ability of adolescent patients with fixed orthodontics, reducing dental plaque, improving oral cleanliness, and improving the oral health-related quality of life of patients.

Ischemic stroke is a devastating neuro-logical disease worldwide,with high global burden.The microglial activation-driven neuroinflammation plays a critical role in pathophysiology of ischemic stroke.After the ictus of brain ischemic attack,cy-tosolic double-stranded DNA(dsDNA)released by necrotic neuronal cells is a potential damage-asso-ciated molecular pattern(DAMP)to activate cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway.cGAS-STING sig-naling pathway has emerged as a key player in mi-croglial activation,sterile neuroinflammation,and cell death following ischemic stroke.Targeting this pathway holds promise for developing novel thera-peutics that effectively mitigate neuroinflamma-tion,prevent cell death,and enhance patient out-comes.In this review,we first outline the principal elements of the cGAS-STING signaling cascade,then discusses the pivotal role of the cGAS-STING pathway in ischemic stroke.Then,we outline selec-tive small-molecules modulators that function as cGAS-STING inhibitors and summarize their mecha-nisms to treat Ischemic stroke.Finally,we discuss key limitations of the current therapeutic paradigm and generate possible strategies to overcome them.

In view of the characteristics of H5N6 subtype avian influenza virus(AIV)that it has both high pathogenicity and the risk of cross-species transmission,posing a serious threat to the poultry farming industry and public health security,in order to effectively prevent and control the spread of H5N6 avian influenza,a rapid,sensitive and specific detection technolo-gy was established in this study.The specific monoclonal antibodies against the neuraminidase N6 protein of avian influenza A virus subtype H5N6 were obtained through hybridoma and monoclonal antibody technology.These antibodies were coupled and labeled with carboxyl-functionalized fluorescent quantum dots,along with previously prepared specific antibodies against the hemagglutinin H5 protein.A rapid fluorescence immunochromatographic detection method for the H5N6 subtype of avian influ-enza virus was established according to the principle of double-antibody sandwich immunochromatography.This method a-chieved a detection sensitivity of 1 ng/mL for recombinant hemagglutinin H5 subtype protein and 0.1 ng/mL for recombinant neuraminidase N6 subtype protein.Moreover,the method exhibited no cross-reactivity with other influenza subtypes or patho-gens,such as Newcastle disease(ND),infectious bronchitis(IB),and infectious laryngotracheitis(ILT),thus demonstrating good specificity.The method effectively identified the highly pathogenic avian influenza virus H5 subtype and directly distin-guished the H5N6 subtype with good accuracy.The fluorescent quantum dot immunochromatographic typing detection method established herein met the sensitivity,specificity,and accuracy requirements for H5N6 subtype detection,and can be further used for rapid detection of the H5 and H5N6 subtypes of avian influenza virus.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective:In the context of China's cardiovascular disease(CVD)high-risk population screening and intervention project,this study systematically evaluates the applicability of the EQ-5D-5L and SF-6Dv2 instruments among individuals at high risk of CVD.Methods:Convergent validity was assessed using Spearman's correlation coefficient.Measurement agreement was evaluated through intraclass correlation coefficients(ICC)and Bland-Altman plots.Factors influencing utility differences were explored using multiple linear regression analysis.Kruskal-Wallis test and t-test were used to examine discriminant validity.Sensitivity was compared by effect size(ES),relative efficiency(RE),and the area under the receiver operating characteristic curve(ROC-AUC).Floor and ceiling effects were also compared.Results:Among 5,415 individuals at high risk of CVD,the two instruments showed moderate overall correlation and acceptable convergent validity,but dimension-specific correlations were weak,and measurement consistency was low(ICC=0.367).Both instruments effectively distinguished different health states,yet the SF-6Dv2 demonstrated superior sensitivity and a milder ceiling effect.Conclusion:When measuring the health utility value of CVD patients,scale selection should be cautious,especially for high-risk groups,and SF-6Dv2 is more appropriate.

Objective:This study aims to analyze the trends,hotspots,and interrelations in research on retroperito-neal tumors through bibliometric methods,providing the latest scientific information support for clinicians and research-ers.Methods:Data were sourced from the SCI-expanded database of the Web of Science Core Collection,covering the period from 2004 to 2023.Statistical analysis and visualization of the number of publications,total citations,average citations per article,countries,institutions,journals,and keywords were conducted using Microsoft Excel 2019,VOS-viewer,and CiteSpace.Results:A total of 6,842 relevant articles were retrieved,with a total of 113 753 citations and an average of 16.63 citations per article.The number of publications had been increasing annually,peaking in 2022.The United States,China,and Japan are the major research countries,with the United States contributing the most.Memo-rial Sloan Kettering Cancer Center and the University of Texas MD Anderson Cancer Center are the leading research in-stitutions.The journal with the most publications was the Cureus Journal of Medical Science.Gronchi Alessandro was the most prolific author.The ain keywords were"Management","Surgery",and"Tumor",and the most cited papers focus on surgery and multicenter studies.Conclusion:Research on retroperitoneal tumors is increasing annually,with hot-spots focusing on treatment methods and prognosis analysis.The United States is the main contributor to this field,with significant international collaboration.Future research should further explore the pathogenesis of retroperitoneal tumors and more effective treatment strategies.

Objective To explore the model of decreased ovarian reserve(DOR)induced by experimental autoimmune thyroiditis(EAT)in mice and investigate the protective mechanism of Jiexu Zichong Granules(ZCWS).Methods Ninety-six Kunming female mice were randomly divided into the J control group,BIW control group,J model group,and BIW model group.The mice were immunized with antigen(0.1 mg,once or twice per week)combined with high iodine water(0.64 g/L)for 7-19 weeks to validate the model.Subsequently,30 mice were randomly divided into the ZCWS group,model group,and control group.The DOR model was established by immunization with the antigen(0.2 mg per week)combined with high iodine water feeding for 13 weeks.The ZCWS group received oral administration of traditional Chinese medicine suspension(0.64 g/mL),while the remaining groups received an equivalent volume of physiological saline for 7 weeks.Thyroid and ovarian tissue morphology and related indicators were detected using HE staining,ELISA,IHC,and Western blot.Results Antigen immunization for 13 weeks(0.1-0.2 mg per week)combined with high iodine water feeding stably constructed the EAT DOR model.ZCWS reduced thyroid lymphocyte infiltration,follicular structure destruction,and serum TPOAb and TGAb levels(P<0.01).It inhibited MDA activity(P<0.01),increased GSH-Px and SOD activities(P<0.05),increased primordial,primary,and secondary follicles(P<0.05),and reduced atretic follicles(P<0.01).ZCWS upregulated AMH and downregulated FSH(P<0.01),regulated the expression of Bcl-2,Bax,and Caspase-3 proteins in ovarian tissue,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05).It upregulated Bcl-2 protein(P<0.05),downregulated Bax(P<0.01),and Caspase-3(P<0.05)proteins,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05)in ovarian tissue.Conclusion ZCWS improves ovarian reserve function in EAT mice by activating the Nrf2 pathway,inhibiting oxidative stress,and reducing follicular atresia.