ObjectiveTo analyze the genomic characteristics of Streptococcus pyogenes (GAS) isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai during 2013‒2024, to compare the changes in trend for genomic characteristics before and after 2000, and to provide scientific data for the prevention and control of GAS infections. MethodsGAS strains isolated from children with respiratory tract infections in this hospital were collected from 2013 to 2024. Antimicrobial susceptibility of the isolated strains to 12 antibiotics, including penicillin, cefotaxime, cefepime, linezolid, vancomycin, meropenem, chloramphenicol, ofloxacin, levofloxacin, erythromycin, clindamycin, and tetracycline, was determined using broth microdilution plate method. Besides, whole genome sequencing (WGS) was used to analyze multilocus sequence type (MLST), emm typing, carriage of superantigen genes, mobile genetic element (MGE), carriage of virulence gene, and genomic phylogenetic tree of the isolated strains. ResultsA total of 50 GAS strains were collected and identified from children with respiratory tract infections aged 4‒14 years old, and the resistance rates of those isolates to erythromycin, clindamycin, and tetracycline were 100.00%, 100.00%, and 86.00%, respectively. There were two emm types in the GAS isolates; the emm12 type accounted for 76.00% (38/50), corresponding to ST36 type, and the emm1 type accounted for 24.00% (12/50), corresponding to ST28, ST1274, and new-1 types. There was a statistically significant difference in the constitution of the MLST before and after 2020 (P=0.015). All the isolates carried the superantigen genes speC, speG, ssa, and smeZ. The predominant emm12 isolates belonged to the Clade Ⅱ, carrying the mobile elements ICE-emm12 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU.vir (carrying virulence genes speC and ssa). The emm1 isolates carried the mobile elements ICE-HKU488 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU488.vir (carrying virulence genes speC and ssa), and had close phylogenetical relationships with isolates from Hong Kong, China. No M1_UK new clone strains were found. The ST1274 isolates of emm1 were newly discovered in 2020‒2024, and belonged to a separate phylogenetic clade. ConclusionGAS strains isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai exhibit a high resistance to erythromycin, clindamycin, and tetracycline. It is recommended that the clinical treatments change to use other antimicrobial drugs, such as penicillin, third-generation cephalosporins, and fluoroquinolones. During 2020‒2024, a new ST1274 clone strain is discovered in emm1 GAS isolates, without M1_UK new clone strains being found. It is essential to continuously concern locally prevalent GAS strains and perform early identification of MLST types to promptly monitor the internal changes of the bacterial population and potential prevalence of new clones.

ObjectiveTo investigate the genotyping and drug resistance trends of 461 strains of diarrheagenic Escherichia coli (DEC) isolated and identified in Suzhou, Jiangsu Province from 2019 to 2023. MethodsDEC detected in Suzhou in the past 5 years was used as the research subject, and the virulence genotyping was tested by real-time fluorescence quantitative polymerase chain reaction (PCR). The microbroth dilution method was used to perform drug susceptibility test, and the corresponding susceptibility (S), intermediate (I) and resistance (R) results were obtained based on the minimum inhibitory concentration (MIC) values, according to the criteria of United States Clinical and Laboratory Standardization Committee (CLSI) 2017. Differences of DEC drug resistance among different virulence genotypes were compared by χ² test or Fisher exact probability method. ResultsA total of 461 DEC strains were detected in Suzhou from 2019 to 2023, of which the highest proportion was enterotoxigenic Escherichia coli (ETEC) accounting for 45.77% (211/461), followed by enteropathogenic Escherichia coli (EPEC) accounting for 32.32% (149/461) and enteroaggregative Escherichia coli (EAEC) accounting for 20.39% (94/461), while enterohemor-rhagic Escherichia coli (EHEC) and enteroinvasive Escherichia coli (EIEC) were individually distributed. The antimicrobial drug with the highest resistance rate was ampicillin (61.61%), followed by cefazolin (49.89%) and nalidixic acid (44.47%). There were statistically significant differences in drug resistence rates of the three major virulence genotypes of DEC (ETEC, EPEC and EAEC) to ampicillin (AMP), ampicillin/sulbactam (AMS), amoxicillin/clavulanic acid (AMC), cefoxetine (CFX), gentamicin (GEN), streptomycin (STR), tetracycline (TET), nalidixic acid (NAL), and chloramphenicol (CHL), and methotrexate/sulfamethoxazole (SXT). The multi-drug resistance (MDR) rate of DEC was 59.87% (276/461), and the MDR rate of each genotype, from high to low, was EIEC (75.00%), EAEC (71.28%), EHEC (66.66%), EPEC (61.74%) and ETEC (52.86%). ConclusionETEC, EPEC and EAEC are the main genotypes prevalent in DEC in Suzhou in recent years. The drug resistance strains and MDR are still serious, which should arouse wide public health concern and take targeted prevention and control measures.

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images. Methods A total of 1 001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1 007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine with lung cancer,diabetes,and hypertension were collected.The tongue images were randomi-zed into the training,validation,and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model's performance was evaluated by its accuracy,loss curve,recall,F1 score,confusion matrix,receiver operating characteristic(ROC)curve,and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM). Results The training results showed that after 90 epochs,the model presented an excellent classification performance.The loss curve and accuracy were stable,showing no signs of overfitting.The model achieved an accuracy,recall,and F1 score of 92%,91%,and 92%,re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95,respectively. Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

Objective To investigate the relationship between systemic immune-inflammation index (SII)and lower extremity vascular disease in patients with type 2 diabetes mellitus (T2DM).Methods A cross-sectional study was conducted on 390 T2DM patients admitted in our department from January 2013 to January 2024.According to the diagnostic criteria for lower extremity vascular disease in T2DM patients,they were divided into a lower extremity vascular disease group (n=158)and a control group (n=232).General data and results of laboratory tests were compared between the 2 groups.Spearman correlation analysis was used to identify the related factors for lower extremity vascular diseases in T2DM patients.The correlation between SII and lower extremity vascular diseases in T2DM patients was analyzed using the Row Mean Scores and Cochran-Armitage Trend analysis.Multivariate logistic regression analysis was applied to identify the risk factors for lower limb vascular lesions in T2DM patients.Receiver operating characteristic (ROC)curve was plotted to evaluate the diagnostic efficacy of SII for lower extremity vascular disease in the patients.Results Compared with T2DMpatients without lower extremity vascular disease,those with lower extremity vascular disease were older,had higher levels of total cholesterol (TC),low-density lipoprotein cholesterol (LDL-C),SII,larger proportion of carotid vascular lesions,and increased proportion of no-taking statins.The lower extremity vascular disease in T2DM patients was positively correlated with SII/100 (r=0.429,P<0.001),age (r=0.517,P<0.001),TC (r=0.161,P=0.001),LDL-C (r=0.117,P=0.021),carotid artery lesions (r=0.101,P=0.047),no-taking statins (r=0.266,P<0.001).Logistic regression analysis showed that SII,age,LDL-C,and no-taking statins were the risk factors for lower extremity vascular lesions in T2DM patients (P<0.01).The area under the curve (AUC)value of SII combined with age,LDL-C,and no-taking statins in predicting lower extremity vascular disease in T2DM patients was 0.896.Conclusion SII is not only a risk factor,but also a simple marker for lower extremity vascular disease in T2DM patients,suggesting that inflammatory response plays an important role in the occurrence and development of lower extremity vascular disease in T2DM.

More than 70%of tumor patients require radiotherapy.Medical electron linear accelerators are important high-end radiotherapy equipment for tumor radiotherapy.With the application of artificial intelligence technology in medical electron linear accelerator,radiotherapy has evolved from ordinary radiotherapy to today's intelligent radiotherapy.This study introduces the development history,working principles and system composition of medical electron linear accelerators.It outlines the key technologies for improving the performance of medical linear electron accelerators,including beam control,multi-leaf collimator,guiding technology and dose evaluation.It also looks forward to the development trend of major radiotherapy technologies,such as biological guided radiotherapy,FLASH radiotherapy and intelligent radiotherapy,which provides references for the development of medical electron linear accelerators.

Objective:To understand the real experience and needs of early exercise rehabilitation in elderly patients with total hip arthroplasty (THA), so as to provide a preliminary basis for intervention research to meet the needs of patients.Methods:Using the purposive sampling method, a total of 12 elderly patients with THA from the First Affiliated Hospital of Naval Medical University from June to September 2021 were selected as the research objects for semi-structured in-depth interviews. Colaizzi 7-step method was used to analyze, summarize and extract the data.Results:The early exercise rehabilitation experience and needs of elderly THA patients could be summarized into four themes such as postoperative exercise being a difficult journey, the need for professional support, the need for external support and internally driven needs and 14 sub themes.Conclusions:There are various problems and needs for early exercise rehabilitation in elderly patients undergoing THA. It is necessary to strengthen communication among doctors, nurses and patients, understand their true feelings and provide personalized care and rehabilitation guidance to improve their treatment experience and enhance their satisfaction.

AIM: To observe the effects of rapamycin pregnancy intervention on cognitive function of autism model in rat offspring. METHODS: Fourteen pregnant rats were randomly divided into normal group (n = 3), model group (n = 4), rapamycin (RAPA) control group (n =3) and intervention group (n = 4). The model group and intervention group were i.p. injected with sodium valproate 600 mg/kg at embryonic day (E) 12.5 to establish autism model in rat offspring. RAPA control group and intervention group were i.g. given RAPA 4 mg/kg every day from the 13th day of gestation until the offspring rats were weaned at 23 days. After the birth of the above four groups of pregnant rats, 15, 27, 21 and 26 offspring male rats were selected to conduct behavioral tests to identify the model. Then, paw withdrawal mechanical threshold (PWMT), tail flick latency (TFL) evoked under different light intensity and learning and memory function of offspring rats were further detected. RESULTS: Rat offspring in the model group had lower growth and development indexes and exploratory behavior ability, but stronger repetitive stereotyped behavior compared with the normal group (P < 0.05), while the indexes between the intervention group and model group were reversed (P < 0.05). The model group had higher PWMT than normal group (P < 0.01) and the PWMT of intervention group was lower than that of model group (P < 0.01). The TFLs of rats in 4 groups showed a timed dose-response relationship (TDRR, P < 0.01), that is, TFLs were shortened with the increase of light intensity. The TDRR curve of model group shifted to right compared with normal group (P < 0.01) and intervention group shifted to left compared with model group (P < 0.01). At the light intensity of Focus 34, 51 and 76, the TFLs of model group were longer than those of normal group (P < 0.01) and intervention group had shorter TFLs compared with model group (P<0.01). In spatial probing trial of Morris water maze test, the platform crossover number in model group was less than that in normal group (P<0.01) and that in intervention group was more than model group (P < 0.05). CONCLUSION: RAPA intervention during pregnancy may alleviate behavior disorder, pain tolerance and memory function of autism model in rat offspring to some extent.

ObjectiveTo determine the pathogenic cause in a foodborne diseases outbreak of Salmonella enteritidis in a company in Suzhou City， and provide evidence for epidemiological investigation and guidance for clinical treatment. MethodsRelevant specimens were examined for Salmonella， Shigella， Staphylococcus aureus and Vibrio parahaemolyticus. Furthermore， for the isolated Salmonella enteritidis， a micro broth dilution method was used for antimicrobial susceptibility testing， and pulsed field gel electrophoresis （PFGE） was used for molecular typing. ResultsA total of 44 strains of Salmonella enteritidis were detected from 43 anal swabs of the patients in the outbreak， 7 anal swabs of canteen employees， 31 retained food specimens and 6 environmental specimens. A total of 15 antimicrobial susceptibility testings showed that the 44 strains had the same antimicrobial resistance spectrum， which was 100% resistant to cefazolin， ampicillin， ampicillin/sulbactam， polymyxin E and nalidixic acid， suggesting a multi-drug resistance to more than three antibiotics. PFGE cluster analysis showed that the 44 strains had a 100% of genetic similarity. ConclusionThe outbreak is caused by the consumption of food contaminated with Salmonella enteritidis. The isolated strains have multi-drug resistance， which could guide appropriate antimicrobial treatment based on the antimicrobial susceptibility testing.

Objective:To analyze the differences in whole blood selenium (Se), zinc (Zn), copper (Cu), magnesium (Mg), calcium (Ca), and iron (Fe) levels of rural older adults among areas with different soil selenium levels, and explore the main factors associated with the six nutrient elements status, so as to provide a basis for further evaluating the health risks of people in areas with different soil selenium levels.Methods:Four administrative villages were randomly selected from the Se-deficient (soil Se content < 0.175 mg/kg), Se-sufficient (soil Se content 0.175 - < 0.400 mg/kg), Se-rich (soil Se content 0.400 - < 3.000 mg/kg) and Se-excessive (soil Se content ≥3.000 mg/kg) areas, respectively, in Enshi Tujia and Miao Autonomous Prefecture (Enshi Prefecture) of Hubei Province in 2017 - 2018. And 100 elderly people aged 60 years or older (half male and half female) were randomly selected as the survey subjects in each servey site. The basic information such as general demography and lifestyle was collected through face-to-face questionnaires. Physical examination was performed and fasting venous blood was collected in the morning. The contents of blood Se, Zn, Cu, Mg, Ca, and Fe were determined by inductively coupled plasma mass spectrometry. The main factors associated with the six nutrient elements status were analyzed.Results:A total of 416 subjects were included, including 208 males and 208 females, whose average age was (72.43 ± 5.25) years, and body mass index (BMI) was (22.67 ± 3.49) kg/m 2. There were significant differences of blood Se, Zn, Cu, Mg, Ca and Fe levels between the areas with different Se levels ( Z/F = 288.30, 3.24, 14.81, 29.14, 131.28, 3.37, P < 0.05). Compared with Se-deficient and Se-sufficient areas, blood Se level was higher in Se-rich and Se-excessive areas and blood Zn level was lower in Se-excessive area ( P < 0.05); compared with Se-sufficient area, blood Cu level was lower in Se-deficient, Se-rich and Se-excessive areas, but blood Mg and Ca levels were higher ( P < 0.05), and the blood Fe level was lower in Se-excessive area ( P < 0.05). There were significant differences in the deficiency rates of Se, Zn, Cu, Mg, Ca and Fe among the elderly in different Se level areas (χ 2 = 140.83, 15.39, 31.90, 17.49, 157.60, 30.33, P < 0.01). There were significant differences in blood Zn, Cu, Ca and Fe levels between two gender groups ( P < 0.05); the blood Zn and Fe levels of the smokers were higher than those of the non-smokers, and the blood Cu level was lower than that of the non-smokers ( P < 0.05); the blood Zn and Fe levels of the drinkers were higher than those of the non-drinkers ( P < 0.05). Conclusions:The levels of six nutrient elements in the whole blood of the elderly in areas with different soil Se levels are different. To assess the health risks of the population in areas with different soil Se levels, it is necessary to consider the levels of multiple nutrient elements at the same time.

Objective:To evaluate the efficacy and safety of sodium-glucose transporter 2 (SGLT2) inhibitors in the treatment of heart failure (HF).Methods:PubMed, ScienceDirect, EMbase, VIP, CNKI and WanFang Data were searched, randomized controlled trials (RCTs) of SGLT2 inhibitors in the treatment of heart failure were included, and quality evaluation and data extraction were carried out.Results:Ten RCTs (9 544 patients) were included. Meta-analysis showed that there were statistically significant differences between the SGLT2 inhibitor group and the control group in terms of heart failure hospitalization rate or heart failure emergency department visit rate[ RR=0.72, 95% CI(0.65, 0.81), P<0.000 01], all-cause mortality[ RR=0.87, 95% CI(0.78, 0.97), P=0.01], cardiovascular mortality[ RR=0.87, 95% CI(0.77, 0.99), P=0.03], and the reduction of N-terminal pro-brain natriuretic peptide[ RR=-133.76, 95% CI(-229.50, -38.01), P=0.006]. But there was no statistically significant difference in the change of left ventricular ejection fraction (LVEF) after the treatment ( P>0.05). The subgroup analysis showed that there were statistically significant differences between the dapagliflozin group and the heart failure group with reduced ejection fraction (HFrEF) in terms of heart failure hospitalization rate or heart failure emergency department visit rate, all-cause mortality, cardiovascular mortality, and reduced levels of NT-proBNP (all P<0.05). The patients with unknown LVEF and empagliflozin were significantly different from the control group in terms of heart failure hospitalization rate or heart failure emergency department visit rate (all P<0.05). Compared with the control group, the SGLT2 inhibitor group can reduce the risk of adverse renal reactions [ RR=0.82, 95% CI(0.68, 0.99), P=0.03]. Conclusions:SGLT2 inhibitors, especially dapagliflozin, can improve the survival rate of patients with HFrEF and have good safety.