ObjectiveTo analyze the epidemiological characteristics of a local dengue fever cluster outbreak in Qingpu District of Shanghai in 2024, and to provide a reference for subsequent dengue fever prevention and control. MethodsSeven confirmed local dengue fever cases reported through the National Notifiable Infectious Diseases Surveillance System in Qingpu District of Shanghai in 2024 were selected as the research subjects. Descriptive epidemiological methods were used to conduct investigation and analysis from the aspects of onset, medical treatment and reporting, clinical symptoms, travel and contact history within 15 days before onset, and activity trajectories. ResultsA total of 7 cases were identified in this outbreak. None of the cases had a travel history to dengue-endemic areas within 15 days prior to onset, while all had shared exposure environments and mosquito bite histories, indicating a local clustered transmission pattern. The main clinical manifestations included fever (100.00%) and myalgia (42.86%). All 7 cases were positive for dengue virus serotype 2 (DENV-2) by nucleic acid testing. Genetic sequencing showed that the virus strains belonged to the Cosmopolitan genotype and were most closely related to the epidemic DENV strains circulating in southern China in recent years. ConclusionThis outbreak might be a local secondary infection caused by the short-term stay of dengue fever-infected individuals, and the possible source of importation was dengue fever endemic areas in southern China.

Background Diarrhea disease is a common intestinal infectious disease, and its incidence is affected by meteorological conditions. A better understanding of its epidemiological patterns and influencing factors, together with the construction of reliable prediction models, is of great significance for precise public health prevention and control. Objective To clarify the epidemic characteristics of adult diarrhea disease in Shanghai, analyze the associations of meteorological factors and a web search index with adult diarrhea disease, and develop and compare forecasting models to support precise regional prevention and control. Methods Weekly surveillance data of adult diarrhea disease cases from the Shanghai Comprehensive Surveillance Information System for Diarrhea Diseases, together with concurrent meteorological observation data and web search index (Baidu index) data from 2014 to 2019, were collected. A distributed lag non-linear model (DLNM) was adopted to analyze the associations of multiple meteorological factors and the web search index with the number of diarrhea disease cases. By integrating meteorological factors and web search index data, three types of forecasting models were developed, including autoregressive integrated moving average (ARIMA), Random Forest, and extreme gradient boosting (Xgboost), and their predictive performances were evaluated. Results Adult diarrhea disease in Shanghai exhibited seasonal variation, with an major incidence peak in summer and winter peaks in some years. The number of cases declined annually after 2015. Mean temperature was significantly associated with the risk of diarrhea disease, and both low and high temperature exposures were associated with increased risks. The highest risk was observed at 32.8°C (RR=2.04, 95%CI: 1.62, 2.55), while the strongest effect of low temperature was observed at 0.9 °C (RR=1.53, 95%CI: 1.25, 1.88). When relative humidity exceeded 69%, the risk of diarrhea disease increased with relative humidity, reaching a peak at 81% (RR=1.20, 95%CI: 1.07, 1.35). When weekly cumulative precipitation exceeded 16 mm, the risk also increased with increasing precipitation, reaching a maximum at 105 mm (RR=1.23, 95%CI: 1.07, 1.42). The web search index was positively associated with the risk of diarrhea disease. Model prediction indicated that both the Random Forest model and the Xgboost model adequately captured the overall trend in diarrhea disease cases, with R² values generally exceeding 0.7. Notably, the Xgboost model demonstrated greater accuracy in capturing peak intensities. Conclusion Meteorological factors are associated with adult diarrhea disease in Shanghai. The web search index may serve as an auxiliary indicator for diarrhea forecasting. Machine learning models, with advantages in integrating multisource data, may provide effective predictive tools for the prevention and control of diarrhea disease.

Objective:To identify the risk factors associated with early postpartum pelvic floor muscle strength following cesarean delivery.Methods:A total of 352 women who underwent cesarean section at the Department of Obstetrics and Gynecology,Affiliated Zhongshan Hospital of Dalian University between September 2022 and Sep-tember 2024 and attended a pelvic floor rehabilitation clinic 6 to 8 weeks postpartum were enrolled in this study,and lectromyographic(EMG)values during anterior and posterior resting phases,as well as fast-twitch and slow-twitch muscle phases,were recorded so as to analyze the factors that might affect the pelvic floor strength in the early postnatal period after cesarean section.Factors with statistically significant differences were further ana-lyzed by multifactorial Logistic analysis.Results:Pre-pregnancy body mass index(BMI)＞24 kg/m2,increase in body mass during pregnancy ≥ 11.5 kg,gestational hypertension and term delivery were identified as independent risk factors for abnormal EMG values during the anterior resting phase of the pelvic floor(OR＞1,P＜0.05).In-crease in body mass during pregnancy≥11.5 kg,preterm rupture of membranes,and term delivery were risk fac-tors for abnormal pelvic floor EMG values in the post-resting stage(OR＞1,P＜0.05).Pre-pregnancy BMI＞24 kg/m2 and pre-eclampsia were risk factors for abnormal pelvic floor EMG values in the fast-muscle stage(OR＞1,P＜0.05).and a history of uterine fibroids was a risk factor for abnormal pelvic floor EMG values in the slow-muscle stage(OR＞1,P＜0.05).Conclusions:Early postpartum pelvic floor muscle strength following ce-sarean delivery is influenced by several risk factors,including pre-pregnancy BMI＞24 kg/m2,increase in body mass during pregnancy ≥ 11.5 kg,gestational hypertension,full-term labor,premature rupture of membranes,pre-eclampsia,and history of uterine fibroids,pelvic floor muscle strength is more likely to be impaired in the early postpartum period after the prenatal combination of the above risk factors,and Targeted pelvic floor rehabilitation should be initiated as early as possible during the postpartum period.

Objective:The prediction model of postoperative recurrence of ovarian endometriosis cyst(OEM)was constructed to provide a reference for evaluating postoperative recurrence of OEM patients.Methods:The clinical,pathological and follow-up data of 342 patients who underwent the initial laparoscopic ovarian cystectomy for OEM at The Second Hospital of Hebei Medical University from January 1,2017 to October 31,2021 were retro-spectively analyzed.Based on univariate and multivariate Cox regression analysis,the relevant factors affecting OEM recurrence were identified.According to the results of multivariate analysis,a nomogram was drawn.The C index and receiver operating characteristic(ROC)curve were used to test the efficiency of the prediction model.Results:The 2-year recurrence rate of OEM patients was 20.4%and the 5-year recurrence rate was 35.2%.Uni-variate and multivariate Cox regression analysis showed that menstrual cycle(HR 0.916,95%CI 0.860-0.976,P=0.006),delivery≥1(HR 0.376,95%CI 0.171-0.827,P=0.015),CA125≥100 U/ml(HR 1.790,95%CI 1.167-2.746,P=0.008),total cyst diameter≥10 cm(HR 2.254,95%CI 1.318-3.854,P=0.003),and postoperative medications(HR 0.434,95%CI 0.292-0.644,P=0.000)were associated with OEM recurrence and were included in the no-mogram prediction model.The C-index of the nomogram prediction model was 0.710(95%CI 0.665-0.754),and the area under the curve(AUC)of the ROC for OEM patients with recurrence at 2 years after surgery was 0.786 and 0.708 at 5 years.Conclusions:In this study,we developed a nomogram to predict the probability of recur-rence at 2 years and 5 years for OEM patients under 45 years who underwent conservative surgery,which has i-deal predictive performance and helps clinicians to screen high-risk patients,and thus give high-risk OEM patients additional attention and intervention.

Objective:The prediction model of postoperative recurrence of ovarian endometriosis cyst(OEM)was constructed to provide a reference for evaluating postoperative recurrence of OEM patients.Methods:The clinical,pathological and follow-up data of 342 patients who underwent the initial laparoscopic ovarian cystectomy for OEM at The Second Hospital of Hebei Medical University from January 1,2017 to October 31,2021 were retro-spectively analyzed.Based on univariate and multivariate Cox regression analysis,the relevant factors affecting OEM recurrence were identified.According to the results of multivariate analysis,a nomogram was drawn.The C index and receiver operating characteristic(ROC)curve were used to test the efficiency of the prediction model.Results:The 2-year recurrence rate of OEM patients was 20.4%and the 5-year recurrence rate was 35.2%.Uni-variate and multivariate Cox regression analysis showed that menstrual cycle(HR 0.916,95%CI 0.860-0.976,P=0.006),delivery≥1(HR 0.376,95%CI 0.171-0.827,P=0.015),CA125≥100 U/ml(HR 1.790,95%CI 1.167-2.746,P=0.008),total cyst diameter≥10 cm(HR 2.254,95%CI 1.318-3.854,P=0.003),and postoperative medications(HR 0.434,95%CI 0.292-0.644,P=0.000)were associated with OEM recurrence and were included in the no-mogram prediction model.The C-index of the nomogram prediction model was 0.710(95%CI 0.665-0.754),and the area under the curve(AUC)of the ROC for OEM patients with recurrence at 2 years after surgery was 0.786 and 0.708 at 5 years.Conclusions:In this study,we developed a nomogram to predict the probability of recur-rence at 2 years and 5 years for OEM patients under 45 years who underwent conservative surgery,which has i-deal predictive performance and helps clinicians to screen high-risk patients,and thus give high-risk OEM patients additional attention and intervention.

Objective:To identify the risk factors associated with early postpartum pelvic floor muscle strength following cesarean delivery.Methods:A total of 352 women who underwent cesarean section at the Department of Obstetrics and Gynecology,Affiliated Zhongshan Hospital of Dalian University between September 2022 and Sep-tember 2024 and attended a pelvic floor rehabilitation clinic 6 to 8 weeks postpartum were enrolled in this study,and lectromyographic(EMG)values during anterior and posterior resting phases,as well as fast-twitch and slow-twitch muscle phases,were recorded so as to analyze the factors that might affect the pelvic floor strength in the early postnatal period after cesarean section.Factors with statistically significant differences were further ana-lyzed by multifactorial Logistic analysis.Results:Pre-pregnancy body mass index(BMI)＞24 kg/m2,increase in body mass during pregnancy ≥ 11.5 kg,gestational hypertension and term delivery were identified as independent risk factors for abnormal EMG values during the anterior resting phase of the pelvic floor(OR＞1,P＜0.05).In-crease in body mass during pregnancy≥11.5 kg,preterm rupture of membranes,and term delivery were risk fac-tors for abnormal pelvic floor EMG values in the post-resting stage(OR＞1,P＜0.05).Pre-pregnancy BMI＞24 kg/m2 and pre-eclampsia were risk factors for abnormal pelvic floor EMG values in the fast-muscle stage(OR＞1,P＜0.05).and a history of uterine fibroids was a risk factor for abnormal pelvic floor EMG values in the slow-muscle stage(OR＞1,P＜0.05).Conclusions:Early postpartum pelvic floor muscle strength following ce-sarean delivery is influenced by several risk factors,including pre-pregnancy BMI＞24 kg/m2,increase in body mass during pregnancy ≥ 11.5 kg,gestational hypertension,full-term labor,premature rupture of membranes,pre-eclampsia,and history of uterine fibroids,pelvic floor muscle strength is more likely to be impaired in the early postpartum period after the prenatal combination of the above risk factors,and Targeted pelvic floor rehabilitation should be initiated as early as possible during the postpartum period.

Objective Summarizes the current research status of defensive medicine in China and provides references for future research.Methods The search period spans from the inception of the database to March 2024.CNKI,Wan-fang Data,Web of Science,PubMed databases were queried,followed by literature screening based on predeter-mined inclusion and exclusion criteria.The current landscape of defensive medicine research in China was synthe-sized and categorized based on fundamental research characteristics,measurement methodologies,influencing fac-tors,and other relevant aspects.Results A total of 24 Chinese literature sources and 4 foreign literature sources were incorporated,indicating a prevalent occurrence of defensive medicine in China.Measurement tools for defen-sive medicine exhibit variability across different studies.Key influencing factors encompass doctor's demographic vari-ables such as gender,age,and professional status,institutional factors like legal frameworks and medical in-surance,and sociol-cultural factors such as doctor-patient relationships and adverse public perceptions.Conclusion Defensive medicine is relatively widespread and influenced by various factors in China.It's urgent to explore the for-mation mechanism of defensive medicine from multiple perspectives and provide evidence for passive defen-sive medicine governance.

Objective Summarizes the current research status of defensive medicine in China and provides references for future research.Methods The search period spans from the inception of the database to March 2024.CNKI,Wan-fang Data,Web of Science,PubMed databases were queried,followed by literature screening based on predeter-mined inclusion and exclusion criteria.The current landscape of defensive medicine research in China was synthe-sized and categorized based on fundamental research characteristics,measurement methodologies,influencing fac-tors,and other relevant aspects.Results A total of 24 Chinese literature sources and 4 foreign literature sources were incorporated,indicating a prevalent occurrence of defensive medicine in China.Measurement tools for defen-sive medicine exhibit variability across different studies.Key influencing factors encompass doctor's demographic vari-ables such as gender,age,and professional status,institutional factors like legal frameworks and medical in-surance,and sociol-cultural factors such as doctor-patient relationships and adverse public perceptions.Conclusion Defensive medicine is relatively widespread and influenced by various factors in China.It's urgent to explore the for-mation mechanism of defensive medicine from multiple perspectives and provide evidence for passive defen-sive medicine governance.

ObjectiveTo present the exploration and application of a prospective follow-up research method for acute infectious disease surveillance based on natural community populations， using COVID-19 infection as an example， and to provide a reference for improving the infectious disease surveillance and early warning system. MethodsA multi-stage probability proportional sampling method was employed to sample residents from all communities of 16 administrative districts in Shanghai， with households as the units. A cohort for acute infectious diseases based on natural community populations was established. The baseline survey was conducted for all cohort subjects， and COVID-19 antigen test kits were distributed. From December 21， 2022 to September 30， 2023， prospective follow-up monitoring of COVID-19 antigen and nucleic acid was carried out on the study subjects on a weekly basis. The baseline characteristics and follow-up information of the cohort subjects were described. ResultsThe cohort for acute infectious diseases included a total of 12 881 subjects， comprising 6 098 males （47.3%） and 6 783 females （52.7%）. The baseline survey revealed that 35.2% （4 540/12 881） of the subjects had a history of COVID-19 infection. During the follow-up period from December 21， 2022 to September 30， 2023， the average incidence density in the cohort was 0.61/person-year， with a higher incidence density in females （0.63/person-year） compared to males （0.59/person-year）. Individuals aged 60 and above （0.64/person-year） and those with underlying health conditions （0.67/person-year） had a higher incidence density. Healthcare workers showed a notably higher incidence density （0.84/person-year） than that in other occupational groups. As of September 30， 2023， a total of 340 subjects in the cohort experienced secondary infections， with a median interval of 170 days between the first and second infections. ConclusionThis study applies cohort study method to acute infectious disease surveillance， providing crucial data support for estimating infection rates and forecasting alerts for acute infectious diseases in the community. This method can be promoted and applied as a new approach for acute infectious disease surveillance.

Pulmonary hypertension has a high mortality rate,and although targeted therapy is available,it is still incurable,and the long-term prognosis for patients is poor.As a tyrosine kinase inhibitor,imatinib was approved for marketing in China in 2002 for the treatment of chronic myelogenous leukemia and other tumor diseases.In addition to the antitumor effects,imatinib was found to improve hemodynamics and exercise tolerance in patients with severe pulmonary arterial hypertension,but the safety was suboptimal.With the emergence of new formulations of imatinib targeted at the lungs,it is expected to become a new targeted drug for pulmonary arterial hypertension.