Objective: To evaluates the association between maternal overweight/obesity during pregnancy and offspring risk of metabolic dysfunction associated steatotic liver disease (MASLD), providing theoretical evidence for early life MASLD prevention. Methods: An online search was conducted across ten databases (CNKI, Wanfang, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, PROSPERO, PQDT Global, ScienceDirect) for research literature on the association between maternal overweight/obesity during pregnancy and the development of MASLD in offspring, with the search period spanning from January 2014 to December 2024. Two researchers independently screened literature, extracted data, and assessed study quality. Statistical analysis was performed using R 4.3.3. Results: Ten studies involving 10 229 participants were included, comprising 4 cohort studies and 6 case control studies. Cohort studies showed that maternal overweight and obesity significantly increased offspring MASLD risk ( RR=1.59, 95%CI=1.06-2.39, P <0.05), with moderate heterogeneity ( I 2=56.9%, P =0.07). Case control studies indicated a positive association between maternal overweight/obesity during pregnancy and offspring risk of MASLD( OR=2.00, 95%CI=1.68-2.39, P < 0.05), with low heterogeneity ( I 2=48.8%, P =0.08). Conclusions Maternal overweight/obesity during pregnancy positively correlates with offspring MASLD risk. Gestational weight management may reduce the risk.

OBJECTIVES: To assess the effectiveness of the comparison between pit and fissure sealants and fluoride varnishes, as well as various types of sealants, in preventing caries on the occlusal surface of children's first permanent molars (FPM). METHODS: Conduct a comprehensive search of literature published between January 1, 1988, and May 30, 2024, in the following databases: China National Knowledge Infrastructure, Web of Science, Cochrane Library, Embase, PubMed, China Science Periodical Database and China Biology Medicine database. Meta-analysis and subgroup analyses were performed on the literature that met the inclusion criteria. RESULTS: A total of 5 618 pieces of literature were retrieved, resulting in the inclusion of 14 in the study. Meta-analysis showed that there was no statistically significant difference in the efficacy between varies pit and fissure sealants compared to fluoride varnishes, and between varies types of sealants in preventing caries on the occlusal surface of children's first permanent molars within 24 months post-surgery (P>0.05). CONCLUSIONS Within 24 months, there was no significant difference in the effectiveness of using resin-based or glass iomomer pit and fissure sealants compared with fluoride varnishes in preventing occlusal caries in FPM in children; within 24 months, there was no significant difference in the effectiveness of using resin-based sealants compared with ART sealants in preventing occlusal caries in FPM in children. ART sealants are recommended over resin-based sealers for children who have no conditions for chair-side manipulation or who are poorly co-operative.
Humans ; Pit and Fissure Sealants/therapeutic use* ; Dental Caries/prevention & control* ; Molar ; Child ; Fluorides, Topical/therapeutic use* ; Dentition, Permanent

Pharmacoepidemiology is an interdisciplinary field that applies epidemiological methods to study drug use,effectiveness,and associated risk in populations.Standardizing research methods in this field is crucial for ensuring research quality and promote the development of the discipline.Based on the Guide on Methodological Standards in Pharmacoepidemiology in China(2nd edition),this article interprets the relevant contents about classic research types and their derivative designs.It aims to clarify the types of study methodological designs in pharmacoepidemiology,systematically describe the characteristics and applications classical derivative designs,and compare these with research design frameworks outlined in international pharmacoepidemiological guidelines.Compared to the first edition,the second edition of the guideline has updated and detailed the types of research,updating the research design to original research(interventional research and non-interventional research),secondary research(systematic review,Meta-analysis,economic analysis,etc.),and tertiary research(umbrella review,etc.).Additionally,a variety of derivative designs have been added,including target trial emulation,nested case-control and case-cohort studies,case-crossover designs,self-controlled case series and self-controlled risk interval designs,case-population studies,interrupted time-series analysis,and case-coverage(ecological)designs for vaccine surveillance.This article strengthens the operability of the theoretical guidance of pharmacoepidemiological research methods in practice and provides a reference for conducting high-quality pharmacoepidemiological research.

Objective To analyze the risk factors of critically ill patients infected with Acinetobacter bau-mannii(AB)and carbapenem resistant Acinetobacter baumannii(CRAB).Methods From January 2022 to June 2023,the data of Intensive Care Unit(ICU)patients admitted to Second Hospital of Shanxi Medical Uni-versity in Shanxi Province were collected.According to whether they were infected with AB,the patients were divided into an observation group and a control group(98 cases each).The observation group was further di-vided into a carbapenem sensitive Acinetobacter baumannii(CSAB)group(72 cases)and a CRAB group(26 cases).Mann-Whitney U test,chi-square test and other univariate and multivariate binary Logistic regression were used to analyze the risk factors of AB and CRAB infection for critically ill patients.The prognosis was analyzed by Kaplan Meier survival analysis.Results Long stay in ICU,previous use of carbapenem drugs and high Acute Physiology and Health Evaluation(APACHE Ⅱ)score were independent risk factors for AB sus-ceptibility(P＜0.05),while the independent risk factors for CRAB susceptibility were invasive ventilation and delayed surgery(P＜0.01).In addition,CRAB infection,COVID-19 and shock was risk factors for death in critically ill patients,and invasive ventilation,indwelling drainage tube and operation could reduce the risk of death in critically ill patients(P＜0.05).Conclusion ICU stay time,APACHE Ⅱ score,previous use of car-bapenem drugs and invasive ventilation increase the risk of AB and CRAB infection in critically ill patients.In-vasive ventilation,indwelling drainage and early surgery could reduce the risk of death from AB and CRAB in-fection in critically ill patients.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To assess the predictive performance of a nomogram model integrating endoscopic ultrasound（EUS）radiomic features with clinical variables for distinguishing early esophageal squamous cell carcinoma（ESCC）from non-cancerous lesions.Methods:Clinical and imaging data from 454 patients who underwent EUS for suspected esophageal malignancies were retrospectively collected in the First Affiliated Hospital of Nanjing Medical University（training cohort， n = 323）and Dongyang People's Hospital（external validation cohort， n = 131）from January 2020 to November 2023. Independent clinical predictors of early ESCC were identified using univariable and multivariable Logistic regression analyses to establish a clinical model. Pearson correlation and Least Absolute Shrinkage and Selection Operator（LASSO）algorithms were used to construct a radiomics model. A combined model integrating radiomics scores and clinical predictors was developed and visualized as a nomogram. The predictive performance of each model was assessed using the area under the ROC curve（AUC），and calibration curves were used to evaluate the model's fitting capability. Results:The training set and validation set indicated that there were statistically significant differences in age，smoking history and lesion location between the early ESCC group and the non-cancerous lesion change group（all P < 0.05）. According to univariate and multivariate Logistic regression analysis，age（ OR = 1.039，95% CI = 1.003–1.077， P = 0.036）and smoking（ OR = 2.358，95% CI = 1.270 - 4.376， P = 0.007）were identified as independent predictors and used to develop the clinical model，with AUCs of 0.608 and 0.694 in the training and validation cohorts，respectively. Fourteen optimal radiomic features were selected to construct the radiomics model，with AUCs of 0.881 and 0.807 in the training and validation cohorts，respectively. The combined nomogram model demonstrated superior predictive performance with AUCs of 0.893 and 0.830，sensitivities of 82.5% and 79.1%，and specificities of 82.2% and 81.3% in the training and validation cohorts，respectively. Conclusions:The EUS-based nomogram model demonstrates optimal predictive performance and can serve as a non-invasive tool to assist endoscopists in distinguishing early ESCC from non-cancerous lesions.

Pharmacoepidemiology is an interdisciplinary field that applies epidemiological methods to study drug use,effectiveness,and associated risk in populations.Standardizing research methods in this field is crucial for ensuring research quality and promote the development of the discipline.Based on the Guide on Methodological Standards in Pharmacoepidemiology in China(2nd edition),this article interprets the relevant contents about classic research types and their derivative designs.It aims to clarify the types of study methodological designs in pharmacoepidemiology,systematically describe the characteristics and applications classical derivative designs,and compare these with research design frameworks outlined in international pharmacoepidemiological guidelines.Compared to the first edition,the second edition of the guideline has updated and detailed the types of research,updating the research design to original research(interventional research and non-interventional research),secondary research(systematic review,Meta-analysis,economic analysis,etc.),and tertiary research(umbrella review,etc.).Additionally,a variety of derivative designs have been added,including target trial emulation,nested case-control and case-cohort studies,case-crossover designs,self-controlled case series and self-controlled risk interval designs,case-population studies,interrupted time-series analysis,and case-coverage(ecological)designs for vaccine surveillance.This article strengthens the operability of the theoretical guidance of pharmacoepidemiological research methods in practice and provides a reference for conducting high-quality pharmacoepidemiological research.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To assess the predictive performance of a nomogram model integrating endoscopic ultrasound（EUS）radiomic features with clinical variables for distinguishing early esophageal squamous cell carcinoma（ESCC）from non-cancerous lesions.Methods:Clinical and imaging data from 454 patients who underwent EUS for suspected esophageal malignancies were retrospectively collected in the First Affiliated Hospital of Nanjing Medical University（training cohort， n = 323）and Dongyang People's Hospital（external validation cohort， n = 131）from January 2020 to November 2023. Independent clinical predictors of early ESCC were identified using univariable and multivariable Logistic regression analyses to establish a clinical model. Pearson correlation and Least Absolute Shrinkage and Selection Operator（LASSO）algorithms were used to construct a radiomics model. A combined model integrating radiomics scores and clinical predictors was developed and visualized as a nomogram. The predictive performance of each model was assessed using the area under the ROC curve（AUC），and calibration curves were used to evaluate the model's fitting capability. Results:The training set and validation set indicated that there were statistically significant differences in age，smoking history and lesion location between the early ESCC group and the non-cancerous lesion change group（all P < 0.05）. According to univariate and multivariate Logistic regression analysis，age（ OR = 1.039，95% CI = 1.003–1.077， P = 0.036）and smoking（ OR = 2.358，95% CI = 1.270 - 4.376， P = 0.007）were identified as independent predictors and used to develop the clinical model，with AUCs of 0.608 and 0.694 in the training and validation cohorts，respectively. Fourteen optimal radiomic features were selected to construct the radiomics model，with AUCs of 0.881 and 0.807 in the training and validation cohorts，respectively. The combined nomogram model demonstrated superior predictive performance with AUCs of 0.893 and 0.830，sensitivities of 82.5% and 79.1%，and specificities of 82.2% and 81.3% in the training and validation cohorts，respectively. Conclusions:The EUS-based nomogram model demonstrates optimal predictive performance and can serve as a non-invasive tool to assist endoscopists in distinguishing early ESCC from non-cancerous lesions.

Objective By analyzing the prevalence pattern and drug resistance of carbapenem-resistant enterobacteriaceae(CRE)infections in our hospital,we aim to provide the basis and suggestions for infection prevention and control as well as clinical management in large general hospitals.Methods A retrospective method was used to select 609 CRE strains isolated from hospitalized patients in our hospital from 2019 to 2022,and analyze their specimen sources,distribution of pathogenic bacteria,departmental distribution and drug resistance.Results A total of 6656 strains of Enterobacteriaceae and 609 strains of CRE were detected in the four years,with Klebsiella pneumoniae predominating(354 strains,58.13％),followed by Enterobacter inguinale(82 strains,13.46％)and Escherichia coli(77 strains,12.65％),and the department with the most detected CREs was the intensive care unit(ICU)(44.50％),followed by the Department of Burn Repair(13.79％),Department of Cardiac and Major Vascular Surgery(8.87％)and Department of Oncology(6.4％),and the sources of specimens were sputum(46.96％),secretions(15.60％),urine(13.30％),and blood(8.7％)in that order.The drug sensitivity results showed that the CRE strains had resistance rates＞50％to the rest of the clinically used antimicrobial drugs,except for tigecycline,polymyxin and minocycline,which were sensitive(1.31％,0.56％and 7.22％),and amikacin,fosfomycin,as well as cotrimoxazole,which had a lower resistance rate(23.65％,35.14％and 35.96％).Conclusion The overall trend of CRE detection rate in this hospital from 2019-2022 was increasing,and most of them showed multiple resistance to clinically used antibiotics,attention should be paid to strengthen the rational use of antimicrobial drugs and increase the supervision of bacterial resistance to curb the wide spread of CRE.