Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

Autoimmune hepatitis （AIH） is an inflammatory disease caused by immune dysfunction， and its pathogenic mechanism remains unclear. In recent years， a large number of studies have shown that iron homeostasis imbalance and ferroptosis are closely associated with the pathogenesis and progression of AIH. This article reviews the pathological mechanism and impact of iron overload and ferroptosis in AIH， in order to provide new insights and theoretical bases for research on the mechanism and clinical treatment of AIH.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Objectives:To investigate the safety and efficacy of concomitant mitral valvuloplasty(MVP)and implantation of domestic third-generation magnetically levitated Corheart 6 left ventricular assist device(LVAD). Methods:Clinical data of 13 end-stage heart failure patients who underwent Corheart 6 LVAD implantation and MVP at Central China Fuwai Hospital of Zhengzhou University from October 2021 to March 2023 were retrospectively analyzed.Mortality and complication events during hospitalization and at follow-up were collected,and changes in myocardial injury biomarkers,renal function,hemodynamics,and echocardiographic indices were observed. Results:There were no perioperative deaths and no MVP-related complications in these patients.During a mean follow-up of(14.2±5.6)months,2 patients died due to COVID-19 pneumonia and cardiac arrest respectively,11 cases(84.6%)survived.There were no recurrences of moderate-to-severe mitral regurgitation in the survived patients.Compared with preoperative value,higher cardiac output,lower central venous pressure,pulmonary artery systolic pressure(PASP),and mean pulmonary artery pressure(PAMP)were evidenced at 24 h and 72 h postoperatively,estimated glomerular filtration rate was also reduced at 1 week post operation(all P<0.010).High-sensitive troponin T level was significantly increased at 1 week post operation and then reduced at 1 month post operation,but still not returned to pre-operative level([125.5±281.9]pg/ml at baseline,[1 295.6±654.6]pg/ml at 1 week post operation and[278.0±300.5]pg/ml at 1 month post operation).Echocardiography showed that compared with preoperative period,the left ventricular ejection fraction tended to be higher at 1 and 6 months postoperatively(both P>0.017),whereas left ventricular end-diastolic dimension,PASP,and PAMP were significantly reduced(all P<0.010). Conclusions:Domestic third-generation magnetically levitated Corheart 6 LVAD implantation with concomitant MVP is safe and feasible,there is no recurrence of moderate-to-severe mitral regurgitation,a significant reduction in pulmonary artery pressure,and significant hemodynamic improvement in early to mid-term postoperatively are observed in survived patients.

Purpose: Tamoxifen showed individual differences in efficacy under different CYP2D6*10 genotypes. Our study evaluated the prognosis of tamoxifen or toremifene in hormone receptor (HR)–positive breast cancer patients under different genotypes. Materials and Methods: CYP2D6*10 genotypes of HR-positive breast cancer patients were determined by Sanger sequencing, and all the patients were divided into tamoxifen group or toremifene group. Results: A total of 268 patients with HR-positive breast cancer were studied. The median follow-up time was 72.0 months (range, 5.0 to 88.0 months). Of these, 88 (32.9%), 114 (42.5%), and 66 (24.6%) patients had C/C, C/T, and T/T genotypes, respectively. Among patients who received tamoxifen (n=176), the 5-year disease-free survival (DFS) rate in patients with C/C and C/T genotype was better than that in patients with T/T genotype, and the difference was statistically significant (p < 0.001 and p=0.030, respectively). In patients receiving toremifene, CYP2D6*10 genotype was not significantly associated with DFS (p=0.325). Regardless of genotypes, the 5-year DFS rate was higher in patients treated with toremifene than in patients with tamoxifen (91.3% vs. 80.0%, p=0.011). Compared with tamoxifen, toremifene remained an independent prognostic marker of DFS in multivariate analysis (hazard ratio, 0.422; p=0.021). For all the 180 patients with CYP2D6*10 C/T and T/T genotypes, the 5-year DFS rate was significantly higher in the toremifene group than in the tamoxifen group (90.8% vs. 70.1%, p=0.003). Conclusion Toremifene may be an alternative adjuvant endocrine therapy for patients with CYP2D6*10 mutant genotypes.

Objective:To investigate the effect of intensive care unit (ICU) admission model on acute kidney injury (AKI) development and the prognosis in patients with sepsis.Methods:Patients with sepsis admitted to the ICU of Xinjiang Uygur Autonomous Region People's Hospital from January 2019 to July 2020 were retrospectively analyzed. According to the ICU admission model, the patients were divided into emergency group (first admission or emergency transfer from relevant surgical departments) and delayed group (transferred from the general ward due to disease evolution). Patients were divided into AKI group and non-AKI group according to whether AKI was accompanied. The gender, age, underlying diseases, surgical history, heart rate, laboratory test indicators, acute physiology and chronic health evaluationⅡ(APACHEⅡ), sequential organ failure assessment (SOFA), organ failure and acute complications were collected. The incidence of AKI, 28-day mortality and length of ICU stay were recorded. Univariate and multivariate Logistic regression was used to analyze the risk factors of AKI in patients with sepsis.Results:A total of 185 patients with sepsis were enrolled, including 96 cases in the emergency group and 89 cases in the delayed group. 119 cases of AKI occurred while 66 cases without AKI development. The incidence of AKI within 7 days and the 28-day mortality of patients in the delayed group were significantly higher than those in the emergency group [AKI incidence rate: 77.53% (69/89) vs. 52.08% (50/96), 28-day mortality: 24.72% (22/89) vs. 10.42% (10/96), both P < 0.05], and the length of ICU stay was significantly longer than that of the emergency group (days: 18.70±7.29 vs. 14.56±4.75, P < 0.05). Univariate Logistic analysis showed that there were significant differences in age, diabetes, hypertension, organ failure, heart failure, APACHEⅡscore, SOFA score, white blood cell count (WBC), absolute neutrophil value, platelet count (PLT), blood lactate, total bilirubin, and ICU transferred from general wards between AKI group and non-AKI group. Multivariate Logistic regression analysis showed that transfer from general ward to ICU due to disease evolution was an independent risk factor for AKI in ICU sepsis patients [odds ratio ( OR) = 5.165, 95% confidence interval (95% CI) was 3.911-6.823, P < 0.001]. Conclusion:Septic patients transferred from general ward to ICU due to disease evolution are more likely to develop AKI, and also had a higher mortality and longer ICU stay. It may be an independent risk factor for AKI complicated by patients with sepsis in ICU.

Objective:To investigate the clinical features of patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis misdiagnosed as mental disorder, improve the early diagnosis rate and reduce misdiagnosis.Methods:The clinical data of patients with anti-NMDA receptor encephalitis diagnosed at the First Affiliated Hospital of Zhengzhou University from 2012 to 2018 were collected. Patients misdiagnosed as mental disorders were screened out. Their psychiatric symptom characteristics, disease course characteristics, imaging and laboratory findings, treatment and prognosis were retrospectively analyzed.Results:A total of 121 cases of anti-NMDA receptor encephalitis were collected, and 43 cases of mental disorders were screened out. Sixteen of the 43 patients (37.2%) had prodromal symptoms, and all the patients had psychiatric behavioral abnormalities (100%), including 32 cases (74.4%) of seizures, 13 cases (30.2%) of decreased level of consciousness, 21 cases (48.8%) of involuntary movements, 15 cases (34.9%) of decreased memory, 8 cases (18.6%) of speech dysfunction, and 8 cases (18.6%) of other neurological symptoms (central hyperventilation, autonomic dysfunction). Memory loss was observed in 15 cases (34.9%), speech dysfunction in 8 cases (18.6%), other neurological symptoms (central hypoventilation, autonomic dysfunction) in 8 cases (18.6%), and various symptoms may appear simultaneously or successively in the same patient. Thirty-eight cases had complete resolution of symptoms or only minor physical impairment, and 5 cases had recurrent admissions with mental abnormalities and seizures. The recurrence rate accounted for 11.6% (5/43).Conclusions:The clinical manifestations of anti-NMDA receptor encephalitis are complex and varied. Most of them have mental behavior abnormalities as the first symptom, which is easily misdiagnosed as mental disorder and delayed treatment will lead to prolonged disease course and poor prognosis.

Antibodies, Neutralizing ; Antibodies, Viral/isolation & purification* ; B-Lymphocytes/virology* ; COVID-19/virology* ; Humans ; Immunity/genetics* ; RNA, Viral/immunology* ; SARS-CoV-2/pathogenicity* ; Single-Cell Analysis