1.Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study
Ziwei HU ; Yangyang HU ; Shuoqi ZHANG ; Li DONG ; Xiaoqi CHEN ; Huiqin YANG ; Linchong SU ; Xiaoqiang HOU ; Xia HUANG ; Xiaolan SHEN ; Cong YE ; Wei TU ; Yu CHEN ; Yuxue CHEN ; Shaozhe CAI ; Jixin ZHONG ; Lingli DONG
Chinese Medical Journal 2024;137(15):1811-1822
Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.
2.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
3.The Research Progress in the Diagnosis and Treatment of Primary Intestinal Diffuse Large B-cell Lymphoma——Review
Xiao-Jun CHEN ; Su-Xia LIN ; Yan-Quan LIU
Journal of Experimental Hematology 2024;32(3):957-961
Primary intestinal diffuse large B-cell lymphoma(PI-DLBCL)is clinically rare,but in recent years,with the gradual maturity of pathology and molecular biology technology,its incidence rate and diagnosis rate have also increased.Due to the lack of specificity of the clinical symptoms of PI-DLBCL,it is easy to misdiagnose and miss the diagnosis,and there is no consensus on the best treatment of PI-DLBCL in clinical practice.Therefore,by retrieving the latest literature at home and abroad,this review systematically discusses the pathogenesis,clinical manifestations,diagnostic criteria,treatment and prognosis of PI-DLBCL,in order to improve the understanding of rare PI-DLBCL in hematology and oncology,and provide reference for basic research and clinical diagnosis and treatment of PI-DLBCL.
4.Clinical Features and Prognosis of Secondary Intestinal Diffuse Large B-Cell Lymphoma
Xiao-Jun CHEN ; Su-Xia LIN ; Dong-Hui GAN ; Jian-Zhen SHEN ; Yu-Min FU ; Yue YIN ; Min-Juan ZENG ; Yan-Quan LIU
Journal of Experimental Hematology 2024;32(4):1097-1105
Objective:To explore and analyze the clinical features and prognostic factors of secondary intestinal diffuse large B-cell lymphoma(SI-DLBCL),in order to provide reference for the basic research and clinical diagnosis and treatment of secondary lymphoma of rare sites in the field of hematology.Methods:The clinical data of 138 patients with SI-DLBCL admitted to Fujian Medical University Union Hospital from June 2011 to June 2022 were collected and sorted,the clinical and pathological features,diagnosis,treatment and prognosis were analyzed.Cox regression risk model was used to conduct univariate and multivariate analysis on the prognostic risk factors.Results:Among the 138 patients with SI-DLBCL included in this study,85(61.59%)were male,53(38.41%)were female,the median age of onset was 59.5(16-84)years,the clinical manifestations lacked specificity,the first-line treatment regimen was mainly chemotherapy(67.39%),94 cases(68.12%)received chemotherapy alone,40 cases(28.98%)were treated with chemotherapy combined with surgery,and 4 cases(2.90%)were treated with surgery alone.The median follow-up time was 72(1-148)months.Among the 138 patients with SI-DLBCL,79(57.25%)survived,34(24.64%)died,25 cases(18.12%)lost to follow-up,the PFS rates of 1-year,3-year and 5-year were 57.97%,49.28%and 32.61%,and the OS rates of 1-year,3-year and 5-year were 60.14%,54.35%and 34.06%,respectively.The results of univariate Cox regression analysis showed that age,Lugano stage and IPI score were the influencing factors of OS in SI-DLBCL patients,and age,Lugano stage and IPI score were the influencing factors of PFS in SI-DLBCL patients.The results of multivariate Cox analysis showed that Lugano stage was an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.Conclusion:Patients with SI-DLBCL are more common in middle-aged and elderly men,and the early clinical manifestations lack specificity,and the first-line treatment regimen is mainly R-CHOP chemotherapy,and Lugano stage is an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.
5.Clinical Characteristics of Pneumocystis Jiroveci Pneumonia after Allogeneic Hematopoietic Stem Cell Transplantation
Jing XIA ; Jun-Hong JIANG ; Ye ZHAO ; Xiao MA ; De-Pei WU ; Su-Ning CHEN ; Feng CHEN
Journal of Experimental Hematology 2024;32(6):1882-1887
Objective:To summarize the clinical characteristics of patients with combined pneumocystis jiroveci pneumonia (PJP ) after allogeneic hematopoietic stem cell transplantation (allo-HSCT ). Methods:The clinical manifestations,laboratory tests,imaging findings,and treatment outcomes of 21 allo-HSCT patients with PJP diagnosed at the First Affiliated Hospital of Soochow University and Soochow Hopes Hematology Hospital from July 2018 to July 2023 were retrospective analyzed.Results:Among the 21 patients,the male-to-female ratio was 2.5:1,and the median age was 36 years old with a range of 15-62 years.The median time to diagnosis of PJP after transplantation was 225 days.The clinical manifestations lack specificity,and the main clinical symptoms include respiratory symptoms (dyspnea,cough,sputum,etc.) and fever.Laboratory examination revealed peripheral blood lymphocyte counts decreased in 15 cases,CD4+T lymphocyte absolute values less than 200 cells/μl in 19 patients,C-reactive protein levels significantly increased in 20 patients,lactate dehydrogenase levels increased in 14 patients,and 1,3-β-D-glucan detection levels increased in 14 patients.Chest CT manifestations can be divided into three types:ground glass type,nodular type,and mixed type.Among them,the incidence of ground glass type was the highest (18/21),with 2 cases of nodular type and 1 case of mixed type.The sequence number of Pneumocystis jiroveci was detected through mNGS (15-57570),and 11 patients had mixed infections.In terms of treatment,TMP-SMX,Caspofungin,and methylprednisolone were administered,and 17 patients achieved improvement in their condition.Four patients died,all of whom died from respiratory failure.Conclusion:PJP is a critically ill condition after hematopoietic stem cell transplantation,and diagnosis is difficult.Early diagnosis can achieve better prognosis.The sensitivity of mNGS in diagnosing PJP is high,providing the possibility of early and accurate diagnosis for clinical practice,which is worthy of application and promotion.
6.Construction and application of hospital multi-source heterogeneous data fusion platform
Yang LIU ; Xia WEN ; Yaxi KANG ; Weicong CHEN ; Ziren SU ; Jialun LIN
Chinese Journal of Hospital Administration 2024;40(4):305-309
Building a multi-source heterogeneous data fusion platform for clinical data centers has become a common consensus in the medical information industry. The data fusion platform built by a certain hospital consisted of five parts: data acquisition module, data processing module, data comparison and repair module, data subscription and application module, and data fusion management platform. Data quality check was conducted on data scattered across the hospital′s operational systems with different structures and types, diverse patterns and states, different sizes and versions. The platform could handle duplicate and redundant metadata, collect, transform, process, distribute, and load data as needed, and maintain data consistency through comparison and repair. This platform is capable of automatically capturing, analyzing, governing, and integrating different types of data across databases, operating systems, and hardware environments, meeting diverse medical data application needs, and supporting the high-quality development of intelligent hospitals
7.Efficacy and safety of ultrafiltration in the treatment for elderly patients with heart failure and frailty
Bin XU ; Yun ZHU ; Hao CHEN ; Hongjun ZHU ; Feng GAO ; Congyi XIA ; Ling ZHONG ; Wei SU
Tianjin Medical Journal 2024;52(7):743-747
Objective To investigate the efficacy and safety of ultrafiltration therapy in elderly patients with congestive heart failure(CHF)and frailty.Methods A total of 88 hospitalized elderly patients with CHF and frailty were randomly assigned to the ultrafiltration group(n=44)and the control group(n=44).The control group treated with standard drug therapy.The ultrafiltration group treated with ultrafiltration,however,diuretics were not used during ultrafiltration treatment.Efficacy assessment was compared between the two groups,including patient body weight,N-terminal pro-brain natriuretic peptide(NT-proBNP)levels at 48 hours after treatment,dyspnea severity scores at 48 hours and 1 week after treatment,hospitalization duration and readmission rate within 3 months.Safety assessment parameters included serum creatinine,urea nitrogen,Na+and K+concentration at 48 hours after treatment and creatinine level 1 week after treatment.Results Efficacy assessment indicated that at 48 hours after treatment,both groups showed a significant reduction in patient body weight and NT-proBNP levels compared to pre-treatment levels(P<0.05).However,there were no significant difference in body weight and NT-proBNP levels before and after treatment between the two groups(P>0.05).Dyspnea severity scores for both groups increased at 48 hours after treatment,then decreased at 1 week after treatment.The ultrafiltration group exhibited higher dyspnea severity scores than that of the control group at 48 hours after treatment(P<0.05).The length of hospital stay and the rate of re-hospitalization within 3 months were lower in the ultrafiltration group compared to those of the control group(P<0.05).Safety assessment revealed that there were no significant differences in serum urea nitrogen and Na+levels before and 48 hours after treatment between the two groups(P>0.05).However,serum K+levels were higher after 48-hours treatment in the ultrafiltration group than those of the control group(P<0.05).There were no significant changes in creatinine levels before and after treatment in the control group(P>0.05),while creatinine levels were lower 1 week after treatment in the ultrafiltration group compared to those of pre-treatment and 48 hours after treatment,and were lower than those of the control group(P<0.05).Conclusion Ultrafiltration is a safe and effective method for elderly patients with CHF and frailty.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Research status of gene mutation encoding cardiomyocyte sarcomere and hypertrophic cardiomyopathy
Ya-Fen CHEN ; Cheng-Yi WANG ; Li-Xia YU ; Shu-Su DONG ; Li-Ming CHEN ; Hai-Ying WANG
The Chinese Journal of Clinical Pharmacology 2024;40(1):130-134
Mutations in myosin heavy chain 7(MYH7)and myosin binding protein C3(MYBPC3)genes encoding thick filaments are the main cause of hypertrophic cardiomyopathy(HCM),while a small part of HCM is caused by mutations of troponin C1,slow skeletal and cardiac type(TNNC1),troponin T2,cardiac type(TNNT2),troponin I3,cardiac type(TNNI3),actin alpha cardiac muscle 1(ACTC1),and tropomyosin 1(TPM1)genes encoding thin filaments.In this review,we mainly introduce the detailed mechanism and research status of HCM caused by mutations of the gene encoding cardiomyocyte sarcomere in the past few years,in order to provide reference for further study of the pathogenesis and treatment of HCM.
10.Prevalence of Neisseria meningitidis among healthy children and adolescents aged 3-18 in Anhui Province
SU Ying, CHEN Xia, WANG Binbing, LUO Xianwei, CHENG Pengbo, ZHOU Shujie
Chinese Journal of School Health 2024;45(6):878-881
Objective:
To monitor the prevelance of Neisseria meningitidis among healthy children and adolescents aged 3-18 in Anhui Province, so as to provide support for epidemic cerebrospinal meningitis prevention and control.
Methods:
From September to October in 2021 and 2022, 4 033 healthy children and adolescents aged 3-18 were selected by stratified random sampling from Anhui Province, including areas north of the Yangtze River (Bozhou, Fuyang, Bengbu, Huainan, Chuzhou, Hefei) and areas south of the Yangtze River (Wuhu, Maanshan, Tongling, Anqing, Chizhou, Xuancheng) and the secretions of children and adolescents were collected from the posterior pharyngeal wall above the uvula, and the strains were identified by bacterial culture and nucleic acid detection. McNemar test and Kappa consistency test were used for statistical analysis. Chisquare test and Chisquare trend test were used to compare the rates.
Results:
The carrier rates of Neisseria meningitidis were 0.47% and 1.07%, respectively. The sensitivity of nucleic acid detection was higher. Among the detected bacteria, group B accounted for the largest proportion of 76.74%. It was followed by group C (4.65%), group Y (4.65%), group W 135 (2.33%) and group X (2.33%). The bacteria bearing rate of male students was higher than that of female students (χ2=11.44); with the increase of age, the bacteria bearing rate of children and adolescents showed an increasing trend (χ2trend=42.69); the bacterial bearing rate of children and adolescents in the north of the Yangtze River was higher than that in the south of the Yangtze River (χ2=23.19); the bacteria bearing rate of children and adolescents without immune history was higher than that with immune history (χ2=11.02)(P<0.01).
Conclusions
Neisseria meningitidis group B has become an epidemic strain in Anhui Province, and senior children and adolescents have become the key population of epidemic prevention and control. It is necessary to continue to do a good job in the surveillance of epidemic cerebrospinal meningitis disease and focuse on group B disease cases, so as to prevent the occurrence of cluster outbreaks in schools.


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