ObjectiveTo retrospectively analyze the correlation among serotypes, antimicrobial resistance phenotypes, and resistance genotypes of Salmonella isolates from diarrheal cases in Baoshan District of Shanghai from 2023 to 2024, and to provide a reference for the prevention and control of Salmonella infections and the rational use of antibiotics in clinical practice. MethodsSalmonella isolates collected from diarrheal cases under surveillance in Baoshan District from 2023 to 2024 were serotyped. Antimicrobial resistance phenotypes were determined using the broth microdilution method, and whole-genome sequencing was performed to identify resistance genes. Positive predictive value and Kappa were calculated to evaluate the agreement between phenotypic and genotypic resistance profiles of Salmonella. ResultsA total of 64 Salmonella isolates belonged to 17 serotypes, with the predominant ones being Salmonella Typhimurium (25.00%) and Salmonella Enteritidis (18.75%). The tested strains exhibited high resistance rates to ampicillin (60.94%), streptomycin (59.38%), and ampicillin/sulbactam (45.31%). All isolates remained susceptible to ceftiofur and ceftazidime/avibactam. Forty different resistance profiles were identified, and 39 isolates accounting for 60.94%, were multidrug-resistant. Overall, 80 resistance genes belonging to 13 categories were detected, with the most prevalent being bla_TEM-1 (57.81%), aac(6')⁃Iy (54.69%), and aph(6)⁃Id (46.88%). No carbapenem or polymyxin resistance genes were found. The types and numbers of resistance genes varied significantly across serotypes. A high concordance was observed between genotype and phenotype for penicillins (positive predictive value: 94.59%, Kappa: 0.81), cephalosporins (90.91%, 0.46), cephamycins (100.00%, 0.65), macrolides (77.78%, 0.86), tetracyclines (100.00%, 0.93), and chloramphenicol (95.83%, 0.93). ConclusionSalmonella isolates from diarrheal diseases in Baoshan District exhibit high antimicrobial resistance. Whole-genome sequencing provides valuable support for resistance surveillance, however, it still needs to be integrated with phenotypic susceptibility testing for comprehensive assessment. Further studies are warranted to elucidate the mechanisms and transmission patterns of resistance in Salmonella.

ObjectiveTo analyze the drug resistance and the molecular typing characteristics through pulsed field gel electrophoresis (PFGE) of Campylobacter spp. isolated from patients with infectious diarrhea in Baoshan District of Shanghai, and to provide a basis for Campylobacter spp. prevention and control and clinical medication. MethodsCampylobacter spp. was isolated, cultured and identified from stool samples of diarrheal patients collected from medical institutions at two monitoring sites in Baoshan District from 2019 to 2022. Antimicrobial susceptibility testing for 12 antibiotics was conducted on the isolated Campylobacter jejuni (C. jejuni) and Campylobacter. Coli (C. coli), and molecular typing was performed using PFGE. ResultsA total of 179 strains of Campylobacter spp. were isolated from 1 786 samples of diarrheal patients, with a positive rate of 10.02%. The highest resistance rate of C. jejuni was to ciprofloxacin (98.63%), followed by tetracycline (97.26%) and nalidixic acid (89.73%). C. coli was completely resistant to ciprofloxacin and nalidixic acid (100.00%), followed by tetracycline (90.91%). The multidrug resistance rates of C. jejuni and C. coli were 89.73% and 100.00%, respectively. 142 strains of C. jejuni produced 122 PFGE bands, while 33 strains of C. coli produced 33 PFGE bands, and the distribution of the bands was relatively dispersed. ConclusionFrom 2019 to 2022, the detection rate of Campylobacter in diarrheal patients was relatively high in Baoshan District of Shanghai, the multidrug resistance rate of Campylobacter isolates from diarrheal patients was relatively serious, in addition, the drug resistance pattern was complex, and the PFGE band pattern displayed a polymorphic distribution.

ObjectiveTo analyze the etiological characteristics of two strains of Escherichia albertii first identified in Baoshan District, Shanghai, in 2024, to explore their antibiotic resistance characteristics, virulence characteristics, and multilocus sequence typing (MLST) to elucidate their genetic evolutionary relationships, so as to provide a scientific basis for the surveillance and control of Escherichia albertii in the local area. MethodsA total of 457 anal swabs were collected from patients with diarrhea in 2024, from which two suspected Escherichia albertii strains were isolated. The isolated strains were identified through mass spectrograph analysis, biochemical identification, and polymerase chain reaction (PCR) test. Microdilution broth method was used for the antimicrobial susceptibility testing, and whole-genome sequencing was performed for molecular characteristic analysis. ResultsMass spectrograph analysis and PCR test initially identified the two strains as Escherichia coli (E. coli), but their biochemical profiles were inconsistent with those of E. coli. Genomic sequencing identified the strains as Escherichia albertii, and which were named as S1 and S2, respectively. The antimicrobial susceptibility test showed that both strains were susceptible to β‑lactam antibiotics and moderately susceptible to polypeptide antibiotics. S1 was resistant to chloramphenicol (CHL), streptomycin (STR), tetracyclin (TET), florfenicol (FFC) and nalidixic acid (NAL), and carried five resistance genes including APH（6），APH（3）， gyrA， tet and flor, whereas S2 was susceptible to the five antibiotics mentioned above. Neither of the two strains contained the stx virulence gene, but S2 harbored the astA virulence gene. The two Escherichia albertii strains had the MLST types of ST4638 and ST4606, respectively. The genome size of the two strains was 4.5 Mb, and the closest relative strain was GTC14781 (Escherichia albertii). The average nucleotide identity (ANI) values to the reference genome of E. coli were both below 90%. S1 did not have the H serotype defined in the current database. S1 and S2 differed by 28 267 single-nucleotide polymorphisms (SNPs), and no homologous strains were found in comparison with the data in the GeneBank database. ConclusionTwo strains of Escherichia albertii are initially identified in Baoshan District of Shanghai. Strain S1 shows strong multidrug resistance, while strain S2 carries diarrheagenic virulence genes. The two strains have a distant genetic relationship and exhibits a pattern of sporadic occurrence. It is recommended to utilize whole-genome sequencing technology to enhance the epidemiological surveillance and laboratory detection of Escherichia albertii.

Objective:To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.Methods:PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.Results:A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.Conclusions:This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.Methods:PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.Results:A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.Conclusions:This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

ObjectiveTo investigate the monitoring status and epidemiological characteristics of foodborne disease pathogens in Baoshan District， Shanghai so as to improve early detection and warning capabilities of foodborne diseases outbreaks， and to provide a scientific basis for the prevention and control of foodborne diseases. MethodsAnal swabs or fecal samples from food-borne diarrhea cases were collected from two sentinel surveillance medical institutions in Baoshan District of Shanghai during 2019 and 2021. Salmonella， diarrheagenic Escherichia coli， Shigella， Vibrio parahaemolyticus， campylobacter and norovirus were tested in anal swabs and fecal samples， and all the testing results were statistically analyzed. ResultsA total of 1 693 cases were reported， among which 1 693 anal swabs and fecal samples were collected， with a male-to-female ratio of 1.04∶1. The largest number of cases was from the age group of 45-64 years （504 cases）. The highest number of reported cases was among retirees （762 cases）. The high-incidence period of the diseases was in summer and autumn， with the highest number of cases associated with meat and meat products （566 cases）. The primary location of exposure was at home （1 260 cases）. The detection rate of pathogenic bacteria and virus was 21.32%， among which campylobacter accounted for the largest proportion （10.28%）. The peak incidence rate was from May to September. The detection rate of norovirus was 13.29%， with a higher incidence in winter and spring. The predominant serotype of Salmonella was Salmonella enteritidis （41.82%）， and the predominant local serotype of diarrheagenic Escherichia coli was EAEC （50.52%）. Campylobacter was mainly represented by jejuni （81.61%）， and the predominant type of norovirus was GⅡ （60.87%）. ConclusionCampylobacter has the highest proportion among foodborne pathogens causing foodborne diseases in Baoshan District， followed by diarrheogenic Escherichia coli. And norovirus GⅡ type is the predominant virus. Appropriate prevention and control measures should be taken based on the characteristics of each pathogen's epidemiology.

Objective: To investigate the epidemiological characteristics of 45 norovirus clusters in Baoshan District, Shanghai Municipality from 2019 to 2021, so as to provide the evidence for improving the management of norovirus clusters. Methods: The epidemiological characteristics and laboratory testing of 45 norovirus clusters were collected in Baoshan District from 2019 to 2021, and the temporal distribution, population distribution, distribution of places of norovirus clusters, clinical manifestations, laboratory testing results, origin of norovirus infection and transmission routes of norovirus clusters were analyzed using a descriptive epidemiological method. Results: A total of 45 norovirus clusters involving 29 379 individuals were reported in Baoshan District from 2019 to 2021, and 435 cases with norovirus infections were identified, with an average attack rate of 1.48%. Norovirus infection most often occurred from November to April of the following year, and the infection predominantly occurred among students (408 cases, 93.79%). There were 25 norovirus clusters in kindergartens (55.56%), 18 clusters in primary and middle schools (40.00%), one cluster in a social care facility and one cluster in a geriatric ward. Vomiting was the predominant clinical symptom (416 cases, 95.63%). The positive rate of norovirus was 37.35% in 597 samples. There were 40 norovirus clusters caused by the norovirus GⅡ genotype (88.89%), and the median duration of the norovirus cluster was 6 days (interquartile range, 1 day). In addition, 82.22% of the norovirus clusters reported to centers for disease control and prevention within 1 day,and 88.89% of the clusters were transmitted through human to human transmission or vomitus of cases. Conclusion The norovirus clusters predominantly occur in winter/spring and among students in Baoshan District from 2019 to 2021. Kindergartens and primary and middle schools are main places of norovirus infections, and the norovirus GⅡ genotype is the main type of pathogens. Human-to-human transmission and exposure to patients' vomitus are the main routes of transmission.