Objective To establish and internally validate a predictive model for poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. Methods Patients with solid and partially solid lung nodules who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patients' CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operating characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. Results A total of 299 patients were included, with 103 males and 196 females, with a median age of 57.00 (51.00, 67.25) years. There were 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average density [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.982)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.750, and specificity of 0.936. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. Conclusion For patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.

Objective To investigate the population density and seasonal fluctuations of Aedes albopictus in Guangzhou City, Guangdong Province, from 2021 to 2023, so as to provide insights into A. albopictus control and management of dengue fever. Methods The surveillance of A. albopictus density was performed in all surveillance sites assigned across all streets (townships) in Guangzhou City during the period from January to December from 2021 to 2023. The surveillance frequency was twice every half month from May to September, and once every month for the rest of a year. In each surveillance period, A. albopictus mosquito larvae were captured from indoor and outdoor small water containers in residential areas, parks, medical facilities, schools, other government sectors and social organizations, construction sites, special industries and others for mosquito species identification. Adult mosquitoes were captured using electric mosquito suction apparatus for species identification and gender classification. Adult mosquitoes and mosquito eggs were collected with mosquito and egg traps at the breeding and dwelling places of Aedes mosquitoes for identification. The mosquito oviposition index (MOI), Breteau index (BI), adult mosquito density index (ADI) and standard space index (SSI) were calculated. The A. albopictus density was classified into grades 0, 1, 2 and 3 in each surveillance site, with Grade 0 density defined eligible, and the eligible rate of A. albopictus density was calculated at all surveillance sites each year from 2021 to 2023. In addition, the changing trends in MOI, SSI, BI and ADI of A. albopictus were analyzed in Guangzhou City from 2021 to 2023. Results The eligible rates of A. albopictus density were 61.69%, 68.75% and 55.15% in surveillance sites of Guangzhou City from 2021 to 2023 (χ² = 297.712, P < 0.001), and appeared a tendency towards a reduction followed by a rise each year, which gradually reduced since January, maintained at a low level during the period between May and October, and gradually increased from November to December. The MOI, SSI, BI and ADI of A. albopictus all appeared a tendency towards a rise followed by a reduction in Guangzhou City during the period between January and December from 2021 to 2023. The BI of A. albopictus peaked in the first half of June in 2021 (4.03), the first half of July in 2022 (3.89) and the last half of August in 2023 (5.02), and the SSI of A. albopictus peaked in the last half of June in 2021 (0.93), the last half of May in 2022 (0.59), and the last half of June (0.94) and the first half of September in 2023 (1.12). In addition, the MOI of A. albopictus peaked in the first half of May in 2021 (8.64), the first half of June in 2022 (8.96), and the last half of May (10.21) and the last half of June in 2023 (10.89), and the ADI of A. albopictus peaked in the first half of June in 2021 (3.41), the last half of June in 2022 (4.06), and the first half of July in 2023 (3.61). Conclusions The density of A. albopictus is high in Guangzhou City during the period from May to October, and the risk of local outbreak caused by imported dengue fever is high. Persistent intensified surveillance of the density and seasonal fluctuation of A. albopictus is recommended and timely mosquito prevention and control is required according to the fluctuation in the A. albopictus density.

ObjectiveTo retrospectively analyze the epidemiological trends of birth defects in perinatal infants in Fengxian District, Shanghai from 2018 to 2022, so as to provide a scientific evidence for the formulation of related prevention and control strategies. MethodsBased on the data from the National Birth Defects Surveillance System, statistical analysis was conducted on the perinatal birth defects from monitored hospitals within the region from 2018 to 2022. ResultsFrom 2018 to 2022, a total of 20 870 perinatal infants delivered in the monitored hospitals in Fengxian District, with 472 cases with birth defects, showing a significant increase in the prevalence of birth defects (PRR=1.49, 95%CI: 1.39‒1.59). The risk of birth defects increased with maternal age, especially for advanced maternal age (PRR=1.58, 95%CI: 1.12‒2.25). Infants born to mothers with gestational diabetes had a higher prevalence of birth defects compared to those without gestational diabetes (PRR=1.99, 95%CI: 1.46‒2.70). Infants with birth defects were more likely to be born prematurely (PRR=2.07, 95%CI:1.56‒2.76). The top three types of birth defects were congenital heart disease (CHD), other anomalies of the external ear, and polydactyly. ConclusionThe prevalence of birth defects in Fengxian District monitored hospitals showed an upward trend from 2018 to 2022. Advanced maternal age and gestational diabetes were identified as risk factors for birth defects. CHD is the leading type of birth defect in Fengxian District over the five-year period. To reduce the prevalence of birth defects, it is crucial to implement comprehensive prevention and treatment measures for CHD.

Objective: To explore the dynamic association and gender difference among body dissatisfaction, weight bias internalization and eating disorders in junior high school students, so as to provide the reference for the rational implementation of relevant intervention activitites. Methods: From June to December 2023, a cluster sampling method was used to select 698 students from a middle school in Fuzhou for three followup surveys for a period of 6 months (T1:June 2023, T2:September 2023, T3:December 2023). The Eating Disorders Inventory-Body Dissatisfaction (EDI-BD), the Chinese Version of the Weight Bias Internalization Scale for Mainland Chinese Children and Adolescents (C-WBIS), and the Chinese Version of the Eating Disorder Examination Questionnaire (C-EDE-QS) were used for investigation. Analysis of variance, t test, Pearson correlation analysis and crosslagged analysis were used for statistical analysis. Results: T1 there were statistically significant differences in body dissatisfaction scores among junior high school students of different grades and with or without leftbehind experience (t=-3.25, 2.12, P<0.05). There were statistically significant differences in weight bias internalization (t=-3.03, -2.43, 2.43) and eating disorders (t=-4.64, -2.04, 2.63) among junior high school students of different genders, grades and with or without leftbehind experience (P<0.05). Crosslagged analysis showed that body dissatisfaction was a predictor of weight bias internalization (βT1-T2=0.22, βT2-T3=0.12) and eating disorders (βT1-T2=0.09, βT2-T3=0.17, P<0.01). Eating disorders could predict body dissatisfaction (βT1-T2=0.15, βT2-T3=0.13) and weight bias internalization (βT1-T2=0.14, βT2-T3=0.23, P<0.01). The mutual predictive effect of body dissatisfaction, weight bias internalization and eating disorders varied with gender. T2 weight bias internalization in girls had a predictive effect on T3 body dissatisfaction (β=0.11). T1 and T2 eating disorders in girls had a predictive effect on T2 and T3 weight bias internalization (βT1-T2=0.26, βT2-T3=0.21) (P<0.01). Conclusions Body dissatisfaction, weight bias internalization, and eating disorders of the junior high school students are interconnected. And there is a certain twoway correlation and gender difference between body dissatisfaction, weight bias internalization and eating disorders in junior high school students.

Currently, researchers have identified several mutated genes associated with hereditary eye diseases; however, effective therapeutic options remain scarce. The emergence of clustered regularly interspaced short palindromic repeats(CRISPR)and its associated proteins(CRISPR-associated proteins, Cas)offers a promising approach for treating these diseases. CRISPR/Cas9 enables precise targeting and modification of specific genetic sequences, allowing for the correction of mutated genes, as well as knockout or replacement of pathogenic genes to achieve therapeutic effects. In ophthalmology, CRISPR/Cas9 has been applied to various hereditary eye disorders, including corneal dystrophy, congenital cataracts, glaucoma, and retinitis pigmentosa. Additionally, significant progress has been made to utilize CRISPR/Cas9 to develop disease models. Therefore, it has great potential for clinical applications. However, challenges such as delivery efficiency and off-target effects remain. This review summarizes the mechanism of CRISPR/Cas9, its applications in genetic eye diseases and disease models, as well as the existing challenges, aiming to provide new insights for treatment.

BACKGROUND:Studies have shown that patients with premature ovarian failure have changes in the structure of intestinal flora and that imbalance of intestinal microbiota may be one of the important mechanisms in the development of premature ovarian failure. OBJECTIVE:To investigate the effect of Liuwei Dihuang Wan on oxidative stress and intestinal microbiota in premature ovarian failure mice induced by cyclophosphamide. METHODS:Forty-five female ICR mice were randomized into three groups:blank group(normal mice),model group(premature ovarian failure mice),and Liuwei Dihuang Wan group.A mouse model of premature ovarian failure was prepared by one-time intraperitoneal injection of cyclophosphamide(120 mg/kg)in the latter two groups.After successful modeling,the Liuwei Dihuang Wan group was intragastrically administered for 28 continuous days,and the other two groups were intragastrically administered with the same amount of normal saline for 28 days.Mouse body mass was recorded weekly and ovarian index was calculated.The development of mouse follicles was observed using hematoxylin-eosin staining.ELISA method was used to detect serum levels of anti-Mullerian hormone,estradiol,follicle stimulating hormone,superoxide dismutase,glutathione peroxidase,and malondialdehyde.Meanwhile,the gut microbiome of all mice was detected through 16S rDNA sequencing. RESULTS AND CONCLUSION:The mice in the model group had loose hair,decreased vigor and grip strength,almost no increase in body mass,and decreased ovarian index.Whereas,the mouse body mass and ovarian index were increased after treatment with Liuwei Dihuang Wan(P<0.05).The estrous cycle of mice in the model group was disorganized;Liuwei Dihuang Wan could restore the estrous cycle and reduce the number of atretic follicles in mice with premature ovarian failure.The serum levels of follicle stimulating hormone and malondialdehyde in the model group significantly increased(P<0.01),while the levels of estradiol,anti-Mullerian hormone,superoxide dismutase,and glutathione peroxidase significantly decreased(P<0.01).Liuwei Dihuang Wan could significantly decrease the serum levels of follicle stimulating hormone and malondialdehyde(P<0.01),and increase the levels of estradiol,anti-Mullerian hormone,superoxide dismutase,and glutathione peroxidase.According to the 16S rDNA sequencing results,Liuwei Dihuang Wan could regulate the abundance and diversity of intestinal microbiota,and increase the relative abundance of beneficial bacteria.KEGG pathway analysis showed that the intestinal microbiota and metabolic pathways,biosynthesis of secondary metabolites,microbial metabolism in different environments,and biosynthesis of amino acids were regulated by Liuwei Dihuang Wan.To conclude,the changes in the structure of intestinal microbiome may be one of the potential mechanisms of Liuwei Dihuang Wan in treating premature ovarian failure.Liuwei Dihuang Wan can regulate the structure of intestinal microbiome,increase the number of beneficial bacteria,reduce the number of harmful bacteria,and thus improve the balance of intestinal microbiota.This regulatory effect helps to reduce oxidative stress levels and further inhibit ovarian oxidative stress in mice with premature ovarian failure.

OBJECTIVE To optimize the management model of drugs used in investigator-initiated trial （IIT）. METHODS With benchmarking analysis， based on the practical work experience of a tertiary specialized hospital in the field of IIT drug management in Shanghai， a thorough review was conducted， involving relevant laws， regulations， and academic literature to establish benchmark criteria and the evaluation standards. Starting from the initiation of IIT projects， a detailed comparative analysis of key processes was carried out， such as the receipt， storage， distribution， use and recycling of drugs for trial. The deficiencies in the current management of IIT drugs were reviewed in detail and a series of optimization suggestions were put forward. RESULTS It was found that the authorized records of drug management were missing， the training before project implementation was insufficient， and the records of receipt and acceptance of IIT drugs were incomplete. In light of these existing problems， improvement measures were put forward， including strengthening the training of drug administrators and stipulating that only drug administrators with pharmacist qualifications be eligible to inspect and accept drugs， etc. The related systems were improved， and 17 key points of quality control for the management of IIT drugs were developed. CONCLUSIONS A preliminary IIT drug management system for medical institutions has been established， which helps to improve the institutional X2023076） framework of medical institutions in this field.

Objective To explore the ^“contribution^” of different exposures to cardiovascular diseases at the population level and to construct a risk prediction model for the effective allocation of prevention resources. Methods The CHNS (China Health and Nutrition Survey) database was used. In 2009, 2011 and 2015, 9 899 permanent residents aged 35 to 75 years in 10 provinces and cities in the central and eastern regions (Beijing, Liaoning, Heilongjiang, Shanghai, Shandong, Henan, Hubei, Hunan, Guangxi and Jiangsu) were selected as the research subjects. A single-factor analysis was conducted to examine the risk factors including sex, age, BMI, marital status, urban/rural area, sleep time, smoking, alcohol consumption, diabetes, education, and health insurance. The multifactor-adjusted population-attributable risk of certain risk factors was also estimated based on logistic regression analysis. The cardiovascular disease (CVD) risk prediction model was developed using a modeling group of 6 927 randomly selected individuals (70%) and a validation group of 2 974 individuals (30%). The model's differentiation and calibration were assessed using the receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow goodness-of-fit test. Results The results showed that the adjusted population attributable risk and 95% confidence interval for BMI, sleep time, smoking, drinking and diabetes were 32.20% (27.67%-36.89%), 7.90% (1.68%-16.58%), 18.56% (11.35%-26.24%), 6.47% (0.11%-13.25%) and 5.73% (4.42%-7.03%). The results of multivariate adjusted population attributable risk percentage showed that BMI was the dominant cause of cardiovascular diseases, followed by smoking, sleep time, drinking and diabetes. The low-risk prevalence rate was 18.44%, the higher-risk prevalence rate was 14.19%, and the high-risk prevalence rate was 42.52%. The area under ROC curve AUC was 0.711, P<0.001, and Hosmer-Lemeshow goodness of fit test showed P=0.257. Conclusion In the future, it is important to focus on high-risk groups , control body mass index to the normal range, and reduce smoking , which is of great significance for the prevention of cardiovascular diseases. The risk prediction model has the value of good differentiation and practicability , and can provide certain prediction ability for the prevention of cardiovascular diseases.

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.