ObjectiveTo investigate the whole genomic characteristics and phylogenetic relationships of clinical isolates of enteroaggregative Escherichia coli (EAEC) in diarrhea outpatients in Pudong New Area, Shanghai. MethodsBased on the diarrheal disease surveillance network in Pudong New Area, Shanghai, whole-genome sequencing was performed on a total of 55 EAEC strains isolated from fecal samples of the diarrhea outpatients from January 2015 to December 2019. The genome analyses based on raw sequencing data encompassed genome size, coding genes, dispersed repeat sequences, genomic islands, and protein coding regions, and pan-genome analyses were conducted simultaneously. Contigs sequences assays were performed to analyze molecular characteristics including serotypes, antibiotic resistance genes, and virulence factors. The phylogenetic clusters and multilocus sequence typing (MLST) were identified, and a phylogenetic tree was constructed. ResultsEAEC exhibited an open pan-genome. The predominant serotype of EAEC in diarrhea outpatients in Pudong New Area was O130:H27, and the carriage rate of β-lactam resistance genes was the highest (67.27%, 37/55). A total of 29 virulence factors and 106 virulence genes were identified, phylogenic group B1 was the predominant group, and clonal group CC31 was the dominant clonal group. The strain distribution was highly heterogeneous. ConclusionThe genomic characteristics of EAEC displayed significant strain polymorphism. It is necessary to develop effective strategies for differential diagnosis and improve detection capabilities for infection with EAEC of different serotypes and genotypes.

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension. METHODS: We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015. We tested and evaluated the performance of four traditional machine learning algorithms commonly used in epidemiological studies: Logistic Regression, Support Vector Machine, XGBoost, LightGBM, and two deep learning algorithms: TabNet and AMFormer model. We modeled using 16 and 29 features, respectively. SHAP values were applied to select key features associated with new onset hypertension. RESULTS: A total of 4,982 participants were included in the analysis, of whom 1,017 developed hypertension during the 4-year follow-up. Among the 16-feature models, Logistic Regression had the highest AUC of 0.784(0.775∼0.806). In the 29-feature prediction models, AMFormer performed the best with an AUC of 0.802(0.795∼0.820), and also scored the highest in MCC (0.417, 95%CI: 0.400∼0.434) and F1 (0.503, 95%CI: 0.484∼0.505) metrics, demonstrating superior overall performance compared to the other models. Additionally, key features selected based on the AMFormer, such as age, province, waist circumference, urban or rural location, education level, employment status, weight, WHR, and BMI, played significant roles. CONCLUSION We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. Key features associated with new onset hypertension can be determined through this algorithm. The practice of machine learning algorithms can further enhance the predictive efficacy of diseases and identify risk factors for diseases.
Humans ; China/epidemiology* ; Hypertension/diagnosis* ; Machine Learning ; Male ; Female ; Middle Aged ; Adult ; Nutrition Surveys ; Algorithms ; Aged ; Risk Factors

Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Objective:To explore the characteristics of T lymphocyte subsets and cytokines in hyperlipidemia-induced acute pancreatitis (HLAP) and its prognostic value.Methods:This study included 184 patients with acute pancreatitis (AP) admitted to the First Affiliated Hospital of Xiamen University from January 2018 to May 2021. Based on disease etiology, there were 92 HLAP cases and 92 non-hyperlipidemia-induced AP (NHLAP) cases. Stratified by disease severity according to 2012 Atlanta classification criteria, the patients were divided into the severe subgroup (SAP) and non-severe subgroup (NSAP). Peripheral venous blood samples were taken from all patients on day 1, 3, and 5 after admission. T lymphocyte subsets were determined by flow cytometry, and cytokines were detected by flow fluorometry. The number of CD4 +% and CD8 +% and the expression of cytokines were compared by Student’s t test or Mann-Whitney U analysis. Logistic regression analyses were performed to identify risk factors for severe AP, and a receiver operating characteristic (ROC) curve was constructed to predict severe AP. Statistical significance was taken as P<0.05. Results:Compared with the NHLAP group, patients in the HLAP group had lower CD4 +%, while higher levels of IL-2 on day 1 ( P<0.05), and had also lower CD4 +%, while higher levels of IL-4, IL-6, and IL-10 on day 3 ( P<0.05). Furthermore, IL-6 and IL-10 levels of the HLAP group were significantly increased compared to the NHLAP group on day 5 ( P<0.05). IL-10 levels in the SAP subgroup were significantly higher than those in the NSAP subgroup on day 1 ( P<0.05). Compared with the NSAP subgroup, the SAP subgroup had elevated levels of IL-2, IL-4, IL-6, IL-10 and IFN-γ on day 3 (all P<0.05), and had lower CD4 +%, while increased levels of IL-6 and IL-10 on day 5 (all P<0.05). Multivariate Logistic regression analysis showed that IL-10 was an immune indicator of independent risk factor for severe AP in the HLAP group on day 1 ( OR=1.139, 95% CI: 1.038-1.251, P<0.05). Finally, ROC analysis showed that the area under the curve of IL-10 to assess HLAP with severe AP was 0.772, and the best cut-off value for predicting severe AP was 5.6 pg/mL, with a sensitivity of 83.3% and a specificity of 68.8%. Conclusions:Changes of CD4 +% and cytokines are different between the HLAP and NHLAP groups. IL-10 can be used as a predictor of early disease severity in patients with HLAP.

Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by 2019 novel Coronavirus (2019-nCoV). At present, the most used method to diagnose 2019-nCoV is nucleic acid test. Suspected cases underwent real-time fluorescent RT-PCR examination, and those who were 2019-nCoV nucleic acid positive were confirmed cases. However, in the process of nucleic acid test, factors such as specimen quality, specimen transportation and storage conditions, detection reagents and methods may cause false negative or false positive results. This article reviews the factors that may affect the results of 2019-nCoV nucleic acid test, and provides a basis for the diagnosis of suspected COVID-19 cases.

A 4-month-old premature infant with broncho-pulmonary dysplasia was hospitalized and received imipenem and cilastatin sodium combined with erythromycin for severe pneumonia. During hospitalization, erythromycin was stopped because of exacerbation of infection and replaced by vancomycin hydrochloride 60 mg dissolved in 5% glucose injection 15 ml by an IV infusion at a speed of 60 mg/h. About 10 minutes of vancomycin treatment, the infant developed cry and noisy and facial flushing. Then the infusion speed was slowed down, but the infant was still crying and his skin erythema increased, which gradually fused into pieces on his neck, chest and limbs. And his heart rate increased to 160 beats/min. Red man syndrome induced by vancomycin was considered. Vancomycin was stopped immediately and no antiallergic agents were given. About one hour later, the skin rash disappeared gradually and the heart rate decreased to 140 beats/min. The next day, the skin color returned to normal. Then teicoplanin combined with imipenem and cilastatin sodium were given according to the results of drug sensitivity test in sputum culture. The rash did not recur. Two weeks later, his pneumonia improved and he was discharged.

A 4-month-old premature infant with broncho-pulmonary dysplasia was hospitalized and received imipenem and cilastatin sodium combined with erythromycin for severe pneumonia. During hospitalization, erythromycin was stopped because of exacerbation of infection and replaced by vancomycin hydrochloride 60 mg dissolved in 5% glucose injection 15 ml by an IV infusion at a speed of 60 mg/h. About 10 minutes of vancomycin treatment, the infant developed cry and noisy and facial flushing. Then the infusion speed was slowed down, but the infant was still crying and his skin erythema increased, which gradually fused into pieces on his neck, chest and limbs. And his heart rate increased to 160 beats/min. Red man syndrome induced by vancomycin was considered. Vancomycin was stopped immediately and no antiallergic agents were given. About one hour later, the skin rash disappeared gradually and the heart rate decreased to 140 beats/min. The next day, the skin color returned to normal. Then teicoplanin combined with imipenem and cilastatin sodium were given according to the results of drug sensitivity test in sputum culture. The rash did not recur. Two weeks later, his pneumonia improved and he was discharged.

Objective To investigate the role of enteral nutrition (EN) support in the treatment of patients with chronic heart failure. Methods Ninety patients with chronic heart failure (conform to the New York Heart Association (NYHA) cardiac function class Ⅲ-Ⅳ) admitted to Intensive Care Unit (ICU), Cardiology Care Unit (CCU) and Emergency ICU (EICU) of Taizhou First People's Hospital from January 2015 to September 2017 were enrolled, and according to different nutritional methods, they were divided into a control group (rational autonomous diet group) and an observation group (Ruineng enteral nutritional emulsion for EN group), each group 45 cases. Based on the calculation (Harris-Benedict) of individual total energy consumption the control group had a reasonable autonomous diet and Ruineng EN emulsion for EN group. The chang of various nutrition indexes [including body mass index (BMI), serum total protein (TP), albumin (Alb), hemoglobin (Hb), vitamin B12, folic acid, serum iron], inflammatory factors [tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6)], and the level of cardiac function index (LVEF) before and after treatment were observed. Results ① Before treatment, vitamin B12 in the observation group was significantly higher than that in the control group (ng/L: 153.3±54.6 vs. 113.4±80.2, P < 0.05), there were no statistical significant differences in other indicators between the two groups (all P > 0.05). ② After treatment, compared with those before treatment, the nutritional indicators and LVEF of both groups were higher, and inflammatory factors were lower, there were statistical significant differences in the other indicators before and after treatment except Hb and IL-6 in the control group and serum iron in the observation group [the control group: BMI (kg/m2) was 20.9±1.8 vs. 19.9±1.2, TP (g/L) was 66.0±2.4 vs. 63.7±1.6, Alb (g/L) was 34.4±3.5 vs. 31.1±2.3, vitamin B12 (ng/L) was 149.5±79.2 vs. 113.4±80.2, folic acid (nmol/L) was 10.0±1.7 vs. 4.6±3.2, serum iron (μmol/L) was 16.5±13.7 vs. 10.4±7.5, TNF-α (ng/L) was 23.8±10.0 vs. 28.3±8.6, LVEF was 0.35±0.14 vs 0.32±0.04; observation group: BMI (kg/m2) was 21.5±1.4 vs. 20.2±1.4, TP (g/L) was 66.5±2.8 vs. 64.3±2.2, Alb (g/L) was 35.8±3.1 vs. 33.3±1.9, Hb (g/L) was 121.4±13.8 vs. 112.9±12.0, vitamin B12 (ng/L) was 201.1±98.6 vs. 153.3±54.6, folic acid (nmol/L) was 15.7±14.4 vs. 8.8±2.8, TNF-α (ng/L) was 20.5±6.3 vs. 25.8±3.0, IL-6 (ng/L) was 209.4±6.5 vs. 220.9±16.9, LVEF was 0.38±0.07 vs. 0.33±0.02, all P < 0.05]. ③ Before and after treatment, the changes of BMI, Hb, vitamin B12, folic acid and IL-6 in the observation group were more significant than those in the control group [BMI (kg/m2): 1.4±0.9 vs. 1.1±0.3, Hb (g/L): 8.6±1.2 vs. 2.7±0.9, vitamin B12 (ng/L): 47.1±1.0 vs. 36.2±0.9, folic acid (nmol/L): 6.8±1.8 vs. 5.5±1.8, IL-6 (ng/L):-10.8±2.3 vs. -1.6±1.0, all P < 0.05]. After treatment, the degree of increase of serum iron in the control group was more significant than that in the observation group (μmol/L: 6.2±0.8 vs. 1.4±0.9, P <0.05), there were no significant differences in the degrees of improvement in TP, Alb and TNF-α between the two groups (all P > 0.05). ④ The difference value of each indicator before and after treatment of the two groups of patients with cardiac grade Ⅲ was more significant than that in the patients with cardiac grade Ⅳ, among the indicators in the control group, Hb, serum iron and IL-6 showed statistical significant differences [Hb (g/L): 3.05±0.42 vs. 2.47±0.84, serum iron (μmol/L): 6.81±0.91 vs. 5.95±1.82, IL-6 (ng/L): -3.87±0.45 vs. -0.53±0.28, all P < 0.05], while in the observation group of patients with cardiac grade Ⅲ and Ⅳ, Alb, Hb, serum iron, IL-6 appeared statistical significant differences [Alb (g/L): 3.41±0.38 vs. 2.27±0.91, Hb (g/L): 9.83±1.44 vs. 8.10±0.98, serum iron (μmol/L): 2.23±0.34 vs. 1.04±0.88, IL-6 (ng/L):-14.11±0.42 vs. -9.45±1.01, all P < 0.05]. Conclusion In the treatment of patients with chronic cardiac failure, simultaneously EN support is given energetically, that can improve the nutrition status of organism, reduce inflammatory reaction and enhance cardiac function; the therapeutic effect of Ruineng EN support is remarkably better than that of the autonomous diet support.

Objective To investigate the effect of Osthole on memory function of sleep deprivation(SD) mice. Methods Forty-eight male mice were randomly divided into 4 groups;normal control group(NC group ), large platform control group(TC group),sleep deprivation group(M group)and Osthole group(Ost group). The model of SD in mice was estabished by using improved multi platform method. The ability of learning and memory was tested by using Morris water maze test and pathological changes of hippocampal neurons in mice were observed by HE staining. The serum,hippcampus malondialdehyde(MDA)contents and superoxide dismutase(SOD)activity, so as the hippocampus No content,were detected. Results Compared with NC group and TC group,the escape la-tency of M group increased significiantly and the number of crossing platform decreased significantly. There were in-creased levels hippocampus tissue,serum MDA level,hippocampal SOD activity and NO content. After supplemen-tation of Osthole,the escape latency significantly shortened in mice. The number of crossing platform was increased while the contents of MDA both in hippocampus and serum were decreased,and the SOD activity in hippocampus re-turned to normal. However,the level of NO in hippocampus was not decreased. Conclusion Osthole can protect the memory function of SD mice by reducing the the damage of hippocampal neurons through antioxidant stress.