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 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.

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 enhance the patient's medical experience by facilitating real-time reading monitoring of their offline outpatient medical progress,providing a centralized display of the status of various medical processes,and proactively de-livering the essential message notifications to patients at designated intervals.Methods The system was developed by adopting a message reminder functionality and integrating with the display of critical diagnostic and treatment processes(including registra-tion,payment,examination,testing,medication collection,and evaluation)so as to ensure that patients receive timely informa-tion that guides their subsequent actions.Results Following the developement and implementation of the system,empirical evi-dence demonstrated that patients were able to clearly comprehend their diagnostic and treatment progress.The system reduced waiting time and confusion.In addition,it enhanced the coherence and convenience of medical services.Conclusion The out-patient medical guidance system,grounded on the Internet hospital model,has effectively minimized patient confusion and stre-amlined operational procedures through an active service approach.Future enhancements are anticipated to further elevate the in-telligence of medical services by broadening business coverage and integrating advanced technologies such as big data and artificial intelligence and other technologies in the future.

Objective:To evaluate the feasibility of a six-step suspension technique for endoscopic lateral neck dissection (LND) through the chest-breast approach in patients with papillary thyroid carcinoma (PTC).Methods:This is a retrospective case series study.Clinical data of 81 PTC patients who underwent endoscopic LND via the chest-breast approach using the six-step suspension method at the Department of Thyroid Surgery, Shenzhen People′s Hospital were collected from January 2022 to October 2024. The cohort consisted of 15 male and 66 female patients, with age of (35.2±10.2)years (range:8.5 to 65.0 years). Key variables, including LND duration, total operative time, postoperative hospital stay, details of lymph node metastasis, postoperative complications, and follow-up data were recorded and analyzed.Results:The duration of LND was (131.8±42.2)minutes (range: 65 to 275 minutes), and the total operative time was (195.5±49.6)minutes (range: 110 to 390 minutes). The postoperative hospital stay was (4.8±1.5)days(range:3 to 15 days). The number of dissected lateral cervical lymph nodes was 32.7±10.1 (range: 11 to 54). The maximum tumor diameter was (16.1±10.1)mm(range:2 to 30 mm), while the maximum size of metastatic lymph nodes was (16.7±6.2)mm(range:7 to 30 mm). The positivity rate was 24.7% (841/3 410) in the lateral cervical+central lymph node and 16.1% (427/2 646) in the lateral cervical lymph node. Postoperative lymphatic leakage occurred in 2 patients, both of whom were successfully treated conservatively. No other significant complications were reported. During the postoperative follow-up period, which lasted for (18.3±7.4) months (range: 1.1 to 34.4 months), the mean postoperative serum thyroglobulin (Tg) level ( M(IQR)) was 0.05 (0.50) μg/L (range: 0.01 to 7.90 μg/L), with 86.4% of patients showing a Tg ≤1.00 μg/L. Through imaging evaluations, no evidence of residual disease or recurrence was detected. Conclusion:Endoscopic LND via the chest-breast approach, utilizing the six-step suspension method, maybe a feasible and effective technique with promising clinical outcomes.

BACKGROUND:In recent years,artificial intelligence has gradually emerged and has been applied in various fields such as spinal cord nerve injury and repair,which has a positive impact on clinical treatment. OBJECTIVE:To study the application progress of artificial intelligence in the diagnosis,treatment,and rehabilitation of spinal cord nerve injury and repair,clarify the research hotspots and shortcomings in this field,and provide suggestions for future research work. METHODS:Relevant literature on artificial intelligence in the field of spinal cord nerve injury and repair was retrieved on the Web of Science core collection database until 2023.CiteSpace 6.1.R6 and VOSviewer 1.6.19 software was used to perform general literature analysis,co-citation of literature,co-citation of journals,double image overlay of journals,keyword clustering,and other visual analysis on the literature data. RESULTS AND CONCLUSION:(1)A total of 1 713 articles were selected,and the annual publication volume in this field showed a fluctuating upward trend,with the United States taking the lead,and Kadone and Hideki being the authors with the highest publication volume.ARCH PHYS MED REHAB was the journal with the highest number of citations.(2)Keyword co-occurrence and cluster analysis showed that after removing keywords similar to the search terms,the main keywords were divided into three main clusters:Exoskeleton and exercise rehabilitation(the largest core hotspot);machine learning and neural plasticity;robotics and rehabilitation training.(3)Keyword burst analysis showed that deep learning and artificial intelligence had become burst terms in the past five years.(4)The results of in-depth analysis of co cited and highly cited literature showed that the hotspots of artificial intelligence in the field of spinal cord nerve injury and repair were mainly focused on powered exoskeletons,gaits,electrical nerve stimulation,intracortical brain-computer interface(IBCI),robots,and polymer biomaterials,and neural stem cell.(5)The research on artificial intelligence in the field of spinal cord nerve injury and repair has shown an upward trend in recent years.The focus of this field had gradually shifted from single treatment methods such as exoskeletons and electrical stimulation to intelligent,precise,and personalized directions.(6)There were some limitations in this field,such as the consequences of missing or imbalanced data,low data accuracy and reproducibility,and ethical issues(such as privacy,research transparency,and clinical reliability).Future research should address the issue of data collection,requiring large sample,high-quality clinical datasets to establish effective artificial intelligence models.At the same time,the research on genomics and other mechanisms in this field is very weak.In the future,various machine learning technologies such as brain chips can be used,and gene editing therapy,single-cell spatial transcriptome and other methods can be used to study the basic mechanisms of regeneration-related gene upregulation and axon growth structural protein production.

Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss remained significantly associated with the occurrence of esophageal cancer (OR=3.038, 95%CI: 1.035-8.914). A nonlinear dose-response relationship was observed between the number of teeth lost and the incidence of esophageal cancer. When the number of teeth lost was less than 12, the risk of esophageal cancer increased with the number of teeth lost. When more than 12 teeth were lost, the risk of esophageal cancer decreased as the number of teeth lost increased. Conclusion Tooth loss is a risk factor for the occurrence of esophageal cancer in this natural village. When the number of teeth lost is less than 12, the risk of esophageal cancer increases with the number of teeth lost.

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.

Objective To explore the efficacy of two lipopolysaccharide(LPS)two-hit methods in establishing an acute lung injury(ALI)mouse model and analyze the characteristics of this model within the context of both Western and traditional Chinese medicine(TCM).Methods Healthy male C57BL/6 mice were randomly divided into six groups:PBS instillation control group,PBS nebulization control group,instillation two-hit group,nebulization two-hit group I,nebulization two-hit group Ⅱ,and nebulization two-hit group Ⅲ.Using LPS as a stimulant,a"two-hit"approach was employed to establish an ALI mouse model.Body temperature,weight,pulse oximetric oxygen saturation(SpO2),lung tissue wet-to-dry weight ratio(W/D),levels of tumor necrosis factor(TNF-α),interleukin-1β(IL-1β),and myeloperoxidase(MPO)activity in lung tissue,as well as total protein concentration and white blood cell count in bronchoalveolar lavage fluid were measured.Through evaluating the consistency between TCM and Western medical syndromes,the classification,characteristics,modeling methods,advantages,and disadvantages of the two-hit ALI animal model were summarized and analyzed based on the clinical diagnostic criteria and syndrome characteristics of ALI in both TCM and Western medicine.Results Compared with the control group,the body temperature,weight,and SpO2 of model group decreased,W/D increased,levels of TNF-α,IL-1β,and MPO activity in lung tissue increased.The alveolar walls thickened with a large exudate of red blood cells.The total protein concentration and white blood cell count in bronchoalveolar lavage fluid significantly increased.The existing two-hit ALI animal model showed a high degree of consistency with Western medical diagnostic main symptoms.Conclusion Both methods of two-hit can prepare mouse ALI models,among which the nebulization two-hit Group Ⅲ showed more pronounced effects in simulating the pathological changes and clinical symptoms of ALI.

Objective:To assess the level of moral distress among pediatric nurses in China and explore its influencing factors, providing a reference for future interventions.Methods:A cross-sectional survey was conducted using a convenience sampling method from May 2022 to March 2023. Pediatric nurses meeting the inclusion and exclusion criteria were selected from children′s specialized hospitals, general hospitals, and maternal and child health hospitals across 16 provinces in China. Moral distress was assessed using the Chinese version of the Moral Distress Scale-Revised (MDS-R). Data analysis included descriptive statistics, non-parametric analysis, and multiple linear regression.Results:A total of 509 pediatric nurses participated in the survey, including 10 males and 499 females. Among them, 45 were aged ≤25 years, 268 were aged 26-35 years, 172 were aged 36-45 years, and 24 were aged >45 years.The median moral distress score was 58.00 (26.00, 77.50). Factors independently associated with higher levels of moral distress included having a master′s degree ( t = 2.33), working in a ward with more than 40 beds ( t = 3.38), working in a ward without parental accompaniment ( t = 2.60), being passively assigned to the nursing profession ( t = 2.63), and considering resignation but not leaving the job ( t = 3.85) (all P<0.05). Conclusions:Pediatric nurses in China experience a moderate level of moral distress. Further research is needed to understand its underlying causes and to develop preventive and intervention strategies.