ObjectiveTo analyze the epidemiological characteristics of clustered vomiting and diarrhea outbreaks in Minhang District of Shanghai, to identify the influencing factors of outbreak scale and duration of epidemic, and to provide scientific evidence for further strengthening surveillance early-warning efforts in key settings and for optimizing prevention and control measures. MethodsThe data for describing epidemiological characteristics of clustered vomitting and diarrhea outbreaks in Minhang District from 2018 to 2023 were collected, multivariable logistic regression models were applied to analyze the influencing factors for epidemic scale,and Spearman rank correlation analyses were applied to analyze the factors duration. ResultsA total of 136 clustered vomiting and diarrhea outbreaks were reported in Minhang District from 2018 to 2023, all occurring in school settings, with an overall attack rate of 0.90%. The outbreaks exhibited distinct seasonality, predominantly occurring from October to December (43.38%) and March to May (32.35%). The primary settings were preschools (45.59%) and elementary schools (44.12%), with students accounted for the majority of cases (99.48%). The predominant clinical manifestation was vomiting (90.44%), with person-to-person contact being the primary transmission route (98.53%). Norovirus genogroup Ⅱ was identified as the main pathogen (71.32%). Standardized terminal disinfection of outbreak sites (OR=0.39, 95%CI=0.20‒0.74) and effective isolation of affected classes (OR=0.23, 95%CI=0.09‒0.57) were significant protective factors for reducing outbreak scale. Both response time (r=0.64, P<0.001) and the number of case generations (r=0.71, P<0.001) showed positive correlations with outbreak duration. ConclusionSchools are the key settings for the prevention and control of clustered vomiting and diarrhea outbreaks in Minhang District, with peak occurring in autumn and spring. Early detection, timely reporting, and prompt response to outbreaks are crucial. Strengthening school-based surveillance systems and standardizing outbreak management protocols are of particular importance.

ObjectiveTo analyze the reported cases of infectious diseases across different tiers of public medical and healthcare institutions in Minhang District, Shanghai from 2013 to 2023, to investigate the status and changes in reported infectious diseases in this district from a temporal, etiological, and demographic perspectives, so as to provide a scientific basis for the construction of a hierarchica early-warning surveillance system under the grading diagnosis and treatment model in medical institutions, as well as for optimizing sentinel surveillance at facilities of different levels. MethodsA retrospective analysis was performed using surveillance data from the China Disease Prevention and Control Information System in Minhang District from 2013 to 2023. Reported infectious diseases were categorized into three categories based on transmission routes: respiratory infectious diseases, intestinal infectious diseases, and sexually transmitted and blood borne infectious diseases. According to the implementation phase of the grading diagnosis and treatment policy, the research time was divided into four time periods: 2013‒2016, 2017‒2019, 2020‒2022, and 2023. The distribution and temporal changes of reported cases of infectious diseases were compared across community health service centers (CHCs), secondary hospitals, tertiary grade-A hospitals and tertiary grade-B hospitals. Chi-square test was used for univariate analysis of differences in the number of reported cases. Quantitative data with normal distribution were analyzed using parametric tests, otherwise, Kruskal⁃Wallis H tests were used. ResultsThe proportions of total reported cases of infectious diseases in medical institutions at all levels in Minhang District, Shanghai from 2013 to 2023 were 10.66% in CHCs, 9.10% in secondary hospitals, 64.95% in tertiary grade-B hospitals, and 15.29% in tertiary grade-A hospitals, with an overall decline and then rebound trend in the reported cases. After the implementation of grading diagnosis and treatment policy, the number of reported cases in CHCs and secondary hospitals showed a trend of first decreasing and then increasing, while that in tertiary grade-B hospitals showed a steady decreasing trend and that in tertiary grade-A hospitals showed an increasing trend. In terms of the research periods divided above, a total of 10 392 cases were reported in 2013‒2016 (70.34% from tertiary grade-B hospitals and 12.59% from CHCs), including 2 922 cases of respiratory infectious diseases, 1 241 cases of intestinal infectious diseases, and 6 229 cases of sexually transmitted and blood-borne infectious diseases. Between 2017 and 2019, a total of 6 967 cases were reported (73.49% from tertiary grade-B hospitals and 11.84% from tertiary grade-A hospitals), including 2 983 cases of respiratory infectious diseases, 279 cases of intestinal infectious diseases, and 3 705 cases of sexually transmitted and blood-borne infectious diseases. Between 2020 and 2022, a total of 4 599 cases were reported (69.92% from tertiary grade-B hospitals and 24.57% from tertiary grade-A hospitals), including 1 627 cases of respiratory infectious diseases, 123 cases of intestinal infectious diseases, and 2 849 cases of sexually transmitted and blood-borne infectious diseases. In 2023, a total of 4 648 cases were reported (35.20% from tertiary grade-B hospitals and 27.50% from tertiary grade-A hospitals), including 3 165 cases of respiratory infectious diseases, 69 cases of intestinal infectious diseases, and 1 414 cases of sexually transmitted and blood-borne infectious diseases. The proportion of reported cases from tertiary grade-B hospitals was the highest in all the four research periods, but exhibited an obvious decrease in 2023. The differences in the reported cases of infectious diseases with different transmission routes among medical institutions at all levels were statistically significant (χ²=3 225.628, P<0.05). The differences in the mean age of patients among medical institutions at all levels were statistically significant (H=1 325.927, P<0.05). ConclusionThere are significant differences in the number of reported cases of infectious disease in the medical institutions at different levels. Tertiary grade-B hospitals have historically dominated the number of reported cases, but its share has declined recently. Whereas, CHCs and tertiary grade-A hospitals have played an increasingly important role in the surveillance and early warning of respiratory and intestinal infectious diseases. Therefore, it is recommended to leverage the strengths of grading diagnosis and treatment to establish targeted sentinel sites and deploy specialized teams tailored to the epidemiological characteristics of specific disease categories.

Objective : To explore the correlation between the clinical, pathological, genetic features, prognosis, and tumor lymph node metastasis in patients with stage ⅠA-Ⅲ B lung invasive non-mucinous adenocarcinoma(INMA). Methods: A retrospective analysis was conducted on 67 eligible patients with INMA. Clinical data, histopathological assessments, and genetic testing were collected. Disease progression-free survival(PFS) was the primary endpoint through follow-up. The chi-square test or Fisher's exact test was used to analyse the correlation between tumour lymph node metastasis and clinicopathological and genetic characteristics. The Cox proportional hazards regression model and Kaplan-Meier method were used to analyse the impact of tumour lymph node metastasis on prognosis. Results: A total of 67 patients were included, aged 46-77 years, with a median age of 61 years. Age, gender, and smoking history were not significantly associated with tumor lymph node metastasis. Larger tumor diameter, tumor progression, and receiving postoperative adjuvant treatment were associated with tumour lymph node metastasis(P<0.05). Poorer differentiated tumors according to International Association for the Study of Lung Cancer(IASLC) grading system was more likely to have lymph node metastasis(P=0.043). There was no significant difference in the types of driver gene mutations and lymph node metastasis. However,EGFRmutations were more common in patients without lymph node metastasis, while co-mutations were more common in patients with lymph node metastasis. Lymph node metastasis was significantly associated with PFS. Patients without lymph node metastasis had a significantly better PFS compared to those with lymph node metastasis(P=0.002). Under different treatment conditions, patients without lymph node metastasis exhibited a significant advantage in PFS when untreated. While treatment showed a trend toward improved PFS, the difference did not reach statistical significance. Additionally, no significant differences in PFS were observed between patients with or without lymph node metastasis following chemotherapy or targeted therapy. Conclusion Lymph node metastasis in INMA patients is related to tumor size, progression status, and gene co-mutations, and is a key prognostic indicator affecting PFS.

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To investigate the factors that affect pelvic floor muscle repair in postpartum women.Methods:The clinical data of 100 patients who gave birth at the Third Affiliated Hospital of Xi'an Medical University between January 2021 and January 2024 and underwent pelvic floor muscle repair were analyzed retrospectively. Based on whether they received the repair, the patients were divided into a repair group ( n = 70) and a non-repair group ( n = 30). The clinical data of both groups were compared. Multivariate logistic regression was performed to analyze the main factors that influence postpartum pelvic floor muscle repair. A predictive model was constructed, and its predictive value for the effectiveness of postpartum pelvic floor muscle repair was evaluated using the receiver operating characteristic curve. Results:After pelvic floor muscle repair, total effective rate was 70% (70/100). There were significant differences between the repair group and the non-repair group in terms of age, parity, number of pregnancies, prenatal body mass index (BMI), neonatal body weight, mode of pelvic floor muscle repair, delivery mode, relaxin level, elastin level, pelvic floor muscle strength classification, degree of stress urinary incontinence, and training compliance (all P < 0.05). Multivariate analysis results indicated that age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level were independent influential factors for the effectiveness of postpartum pelvic floor muscle repair. The model can be represented as: Y = 1.253 × age + 0.131 × prenatal BMI + 1.313 × parity + 2.603 × number of pregnancies + 0.559 × neonatal body weight -1.512 × pelvic floor muscle strength grading + 1.271 × training compliance + 0.404 × relaxin level -9.945 × elastin level -4.015. The receiver operating characteristic curve results showed that the area under the curve values for age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level in predicting the effectiveness of postpartum pelvic floor muscle repair were 0.650, 0.634, 0.657, 0.786, 0.610, 0.783, 0.645, 0.949, and 0.991, respectively. The area under the curve values for relaxin and elastin levels exceeded 0.9, with the corresponding sensitivity and specificity for relaxin level being 90.00% and 92.90%, respectively, and for elastin level being 100.00% and 95.70%, respectively. Conclusions:Age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level are factors that affect the effectiveness of postpartum pelvic floor muscle repair. These factors have certain predictive value for the effectiveness of pelvic floor muscle repair, with relaxin and elastin levels showing particularly high predictive value. Clinically, this information can be used to develop a reasonable pelvic floor muscle repair plan for postpartum women.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

AIM:To explore the way and mecha-nism of cell death induced by Fructus Akebiae in non-small cell lung cancer(NSCLC)cells.METH-ODS:CCK-8,Hochest33342/PI staining,and colony formation experiments were used to detect cell via-bility and proliferation.Western blot was used to detect the expression of cell death-related proteins ATG5,HMGB1,GPX4,apoptosis-related proteins,and PI3K-Akt signaling pathway-related proteins.Flow cytometry was used to detect the apoptosis rate.DCFH-DA fluorescent probes were used to de-tect the levels of total intracellular ROS under a flu-orescence microscope.RESULTS:Fructus Akebiae significantly inhibited the cell viability and prolifera-tion of human NSCLC cells(P＜0.05).The expression of apoptosis-related proteins BAX,Cleaved cas-pase3,and Cleaved caspase9 in NSCLC cells was sig-nificantly increased(P＜0.05),while p-PI3K,p-Akt,and BCL2 were markedly decreased(P＜0.05).Fruc-tus Akebiae was found to clearly increase the apop-tosis rate and the levels of total intracellular ROS(P＜0.05).The antioxidant NAC significantly reversed apoptosis,ROS production and regulation of PI3K-Akt pathway related proteins induced by Fructus Akebiae(P＜0.05).CONCLUSION:Fructus Akebiae in-duces apoptosis via regulating ROS-mediated PI3K-Akt signaling pathway in non-small cell lung cancer cells.

Objective:To understand the current status of financial management in public hospitals of Anhui Province and provide a basis for strengthening financial management and promoting high-quality development in public hospitals.Methods:Stratified and random sampling methods were used to select 100 public hospitals as sample hospitals.A self-designed questionnaire was used to conduct a questionnaire survey on the current status of financial management.Results:The overall financial management level of public hospitals in Anhui Province needs to be further improved.The main problems are that the functions of the chief accountant need to be fully exerted,the structure of financial personnel is uneven,the coverage and depth of budget management are insufficient,cost accounting is relatively rough,the operation management system is not sound,the construction of internal control emphasizes form over substance,and the informatization construction needs to be advanced urgently.Conclusion:In response to the existing problems,efforts can be made from fully exerting the functions of the chief accountant,optimizing the talent team,promoting the refinement of budget and cost management,deeply carrying out operation management,improving internal control,and making up for the shortcomings of informatization,to adapt to the new situation and policy requirements of the medical industry's development.

This study aims to screen the diagnostic biomarkers for fecal antigen of Echinococcus granulosus(E.granulosus)in dogs with high specificity and sensitivity.The sheep-derived EgPSC artificially infected dogs were collected,and the negative and positive fecal samples of dogs with E.granulosus were prepared by arecoline hydrobromide leakage method.Polyclonal antibody,negative fecal antigen-polyclonal antibody conjugates and positive fecal antigen-polyclonal antibody conju-gates were purified by ammonium sulfate precipitation and affinity chromatography,three groups of samples were detected by ELISA and Western blot,LC-MS/MS and bioinformatics analysis were performed on the three groups of samples.The positive fecal antigen-polyclonal antibody con-jugate was used as the treatment group,the polyclonal antibody and the negative fecal antigen-polyclonal antibody conjugates were used as the control groups to screen the unique peptides of the treatment group.ELISA and Western blot showed that only the positive fecal antigen-polyclonal antibody conjugates were positive.According to LC-MS/MS and bioinformatics analysis,11 unique peptides were screened out only in the treatment group.Among them,3 proteins were related to E.granulosus,namely dysferlin,integrator complex 9 and diagnostic antigen gp50,which were mem-brane-associated proteins,INT complex components and diagnostic antigens.This study has pre-liminarily screened out three candidate canine E.granulosus fecal antigen diagnostic markers,pro-viding a reference for further exploration of diagnostic standards for E.granulosus,screening of echinococcosis target genes,and vaccine development.