医院感染流行病学研究
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摘要
一、研究目的
     本研究旨在利用描述性、分析性和理论流行病学研究方法,调查湖北省医院感染患病情况及影响因素、呼吸机相关性肺炎和导管相关性尿路感染发病及危险因素,构建医院感染预测模型,抽样调查全国部分省市医疗机构医院感染暴发应急现状并提出对策和建议。
     二、研究方法
     1、抽样调查湖北省三级甲等医院住院患者医院感染患病情况。调查采用统一方法进行,收集调查日当天所有住院患者信息,包括性别、年龄、当前诊断、医院感染和微生物培养结果、抗菌药物使用情况等。医院感染诊断标准采用卫生部2001年《医院感染诊断标准(试行)》。
     2、在湖北省17所三级甲等医院ICU中开展呼吸机相关性肺炎多中心前瞻性队列研究,随访入住ICU超过48小时且接受机械通气的患者呼吸机相关性肺炎的发病及危险因素暴露情况。应用logistic回归分析呼吸机相关性肺炎危险因素。
     3、在湖北省某三级甲等医院入住ICU且接受尿路插管的患者中开展巢式病例对照研究,随访接受尿路插管的患者危险因素暴露及尿路感染发病情况;以发生导管相关性尿路感染患者为病例组,未感染患者为对照组,应用logistic回归分析导管相关性尿路感染的危险因素。
     4、分别采用SAS8.2和SPSS17.0软件构建医院感染Logistic回归和人工神经网络预测模型,以似然比检验、拟合优度检验和ROC曲线下面积评价模型预测效果。
     5、采用方便抽样抽取国内121所三级、二级医院进行问卷调查,调查内容包括医院感染暴发组织框架、功能实现、运行程序和支撑系统等维度内容,对感染暴发应急处置现状进行分析并提出加强暴发应急的对策建议。
     三、研究结果
     1、2007年和2008年湖北省医院感染现患率均为3.61%,例次率分别为3.76%、3.84%。大学附属医院、ICU科、低年龄或高年龄组、男性患者医院感染患病率高,不同基础疾病患者医院感染患病率不相同或不全相同。感染部位以呼吸道最常见,其次为手术切口、泌尿道、胃肠道。医院感染病原体以革兰氏阴性细菌最常见,铜绿假单胞菌、大肠埃希菌、金黄色葡萄球菌、鲍曼不动杆菌和肺炎克雷伯菌居前五位。抗菌药物日使用率为52.49%。最常使用的抗菌药物依次为头孢菌素类、青霉素类和喹诺酮类。
     2、湖北省ICU患者呼吸机相关性肺炎发病率为20.89%,发病密度为28.90/1000机械通气日。危险因素有:男性、昏迷、其他部位感染、慢性阻塞性肺病、严重基础疾病、支气管镜检查、气管造瘘术、使用抗酸药、使用抗菌药物超过4天。病原体以革兰氏阴性菌最为常见,铜绿假单胞菌、鲍曼不动杆菌、金黄色葡萄球菌居前三位。铜绿假单胞菌对亚胺培南的耐药率为36.69%,对环丙沙星的耐药率为49.12%,鲍曼不动杆菌对亚胺培南的耐药率为64.97%,MRSA检出率为45.67%。
     3、湖北省三级医院ICU患者导管相关性尿路感染发病率为20.52%,发病密度为33.05/1000尿路插管日。危险因素有:尿路插管时间≥7天、前列腺肥大、使用抗菌药物≥5天。最常见的病原体为白色念珠菌、肠球菌和大肠杆菌。
     4、构建医院感染预测模型中,Logistic回归模型包含变量有:入住ICU天数、气管插管、前列腺肥大、动静脉插管、基础疾病为肿瘤等;构建的神经网络模型结构为{25-4-1},对感染结局影响最大的因素依次为ICU入住时间、抗菌药物使用情况、基础疾病诊断、年龄、使用插管等。经检验,Logistic回归模型和神经网络模型均有显著性意义,ROC曲线下面积分别为0.856和0.861。
     5、医院在医院感染暴发应急处置能力和实际工作中,院感专职人员专业结构需要优化,人员专业素质需进一步改善,应急预案需及时修订并提高可及性,信息监测应进一步加强,病原微生物同源性检测能力严重不足,亟须提高。
     四、研究结论
     湖北省2007年与2008年的医院感染患病率总体平稳,均处于较低水平。湖北省ICU呼吸机相关性肺炎和导管相关性尿路感染发病显著高于发达国家水平,应针对感染的危险因素加强预防与控制措施。ICU患者医院感染Logistic回归预测模型和人工神经网络预测模型判别能力均很好,其中人工神经网络模型拟合效果更优。我国医院在应对医院感染暴发事件方面存在不足,应加强医院感染暴发应急能力建设,建立健全医院感染暴发预防控制工作体系。
     五、创新点
     采用多种研究方法系统研究了湖北省医院感染发生情况及影响因素,在国内首次采用大样本多中心队列研究对呼吸机相关性肺炎发病及影响因素进行研究,首次抽样调查分析了国内医疗机构医院感染暴发应急能力及工作现状,并提出对策和建议。
Objectives
     The object of this study is to investigate the prevalence and risk factors of healthcare-associated infection (HCAI), ventilator-associated pneumonia (VAP), and catheter-associated urinary tract infection (CAUTI) in Hubei Province, China, and to set up the HCAI forecast model of artificial neural networks (ANNs) and Logistic regression by the descriptive, analytical or theoretical epidemiologic methods. We also investigate the hospitals'ability and situation of prevention and control of the HCAI outbreak and make some proposals and advices.
     Methods
     1. The point prevalence surveys were carried out in 10 tertiary care hospitals in 2007 and 13 tertiary care hospitals in 2008 in Hubei Province, China. All patients in these hospitals who had been hospitalized on the day of the surveys were included. The following information was recorded for each patient:sex, age, current diagnoses, HCAI status, site of infection, results of microbiology culture, and whether the patient was on antibiotics. Medical records were reviewed for HCAI, using the definitions established by the Ministry of Health.
     2. A multi-centre prospective cohort study was performed in 17 intensive care units (ICUs) in tertiary care hospitals in Hubei Province. All patients receiving mechanical ventilation (MV) who had been hospitalized in these ICUs for more than 48 h were included during the study period. Information on onset of VAP, micro-organisms associated with VAP, and potential risk factors for patients receiving MV were collected from medical and nursing records and recorded on a form. The univariate and multivariate logistic regression analyses were performed to identify risk factors for VAP.
     3. The nested case-control study was conducted in an ICU in a tertiary care hospital in Hubei Province. All patients were selected from patients after urinary catheterization in the ICU. Individuals with urinary tract infection (UTI) served as cases, and the patients free of UTI as controls. A multivariable logistic regression model was performed to identify the independent risk factors for CAUTI.
     4. Data of patients who had hospitalized in the ICU for more than 48h in a tertiary care hospital in Hubei Province were collected to construct the HCAI prediction model of ANNs and Logistic regressions. The prediction effects were evaluated by the Likelihood ratio test, Hosmer and Lemeshow goodness-of-fit test and the receive roperator characteristic curve.
     5. Questionnaires were used to investigate the organizational framework, functional realization, program and support about the prevention and control of the HCAI outbreak in the conveniently sampled 121 hospitals in China. The data was analyzed and some proposals and advices were made.
     Results
     1. In total, the prevalence of HCAI in Hubei Province in 2007 and 2008 was 3.61%, with the frequency of HCAI being 3.76% in 2007 and 3.84% in 2008. Higher HCAI rates were found in patients from university hospitals, male patients, patients aged >55years or<10years, and in ICU patients compared with other groups. The HCAI rates differed among patients with different foundational diseases. Respiratory tract infection was the most common HCAI, followed by surgical site infection, urinary tract infection and gastrointestinal tract infection. Gram-negative bacteria were isolated most frequently and the most frequent organism was Pseudomonas aeruginose, followed by Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii and Klebsiella pneumoniae. Antibiotic use was documented for 52.49% patients, and cephalosporins, penicillins, and quinolones were the most commonly used agents for treatment or prophylaxis.
     2. Among ventilated patients, the crude incidence rate and density of VAP were 20.89% and 28.90 cases per 1000 ventilator-days in Hubei Province. Multivariate analysis using logistic regression revealed risk factors, including male sex, coma, infections at other sites, chronic obstructive pulmonary disease, serious foundational disease, bronchoscopy, tracheostomy, use of antiacids, and the period of antimicrobial use >4 days. Gram-negative bacteria were isolated most frequently and the most frequently isolated causative pathogens were Pseudomonas aeruginosa, Acinetobacter baumannii and Staphylococcus aureus. Frequencies of imipenem-resistant P. aeruginosa, imipenem-resistant A. baumannii and Ciprofloxacin-resistant P. aeruginosa isolates were 36.69%,64.97% and 49.12% respectively. Of all Staphylococcus aureus isolates,45.67% were meticillin resistant.
     3. Among patients, the incidence rate of CAUTI was 20.52%, and the density of infection was 33.05 per 1000 catheter-days in Hubei Province. By the multinomial logistic regression analysis, the CAUTI risk factors included the duration of catheterization (≥7 days), benign prostatic hypertrophy (BPH), and the duration of antimicrobial treatment (≥5 days). Of the isolates, fungi, especially Candida albicans, were isolated most frequently, followed by Escherichia coli and Pseudomonas aeruginosa.
     4. The follow variables were factors of the HCAI prediction model of the logistic regression equation:the period of the patients in ICU, tracheal intubation, BPH, artery and venous cannula, age, tumor as the foundation disease, et al. The HCAI prediction model of ANNs was {25-4-1}, and the most important factors in this model are the period of the patients in ICU, use of antibacterials, age, the foundation diseases, use of catheters, et al. The areas under ROC (Receiver-operating characteristic curve) were 0.856 and 0.861 respectively.
     5. There are some weaknesses in the organizational framework, functional realization, program and support about the prevention and control of the HCAI outbreak. The hospitals should strengthen the prevention and control of HCAI outbreak.
     Conclusions The point prevalences of HCAI in tertiary care hospitals in 2007 and 2008 in Hubei Province were steady and at relative low level. The incidence rates of VAP and CAUTI among patients in Hubei Province were higher than those of the developed countries, and the prevention and control of HCAI should be strengthened to improve the situation. The model of ANNs was better than the logistic regression in predicting the HCAI among ICU patients. There're some weaknesses in the prevention and control of the HCAI outbreak in Chinese hospials. To prevent and control HCAI outbreak effectively, the sanitation stringency should be constructed and perfected in these hospitals.
     Innovation
     The study systematically investigated the prevalence and risk factors of HCAI among patients in Hubei Province. It's the first time in China to perform a multi-centre prospective cohort study of VAP, and to use questionnaires to investigate the prevention and control of the HCAI outbreak in hospitals and then to make some proposals.
引文
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