Cozzolino Francesco, Abraha Iosief, Orso Massimiliano, Mengoni Anna, Cerasa Maria Francesca, Eusebi Paolo, Ambrosio Giuseppe, Montedori Alessandro
Health Planning Service, Regional Health Authority of Umbria, Perugia, Italy.
Division of Cardiology, Santa Maria della Misericordia Hospital, University of Perugia School of Medicine, Perugia, Italy.
BMJ Open. 2017 Mar 29;7(3):e013785. doi: 10.1136/bmjopen-2016-013785.
Administrative healthcare databases can provide a comprehensive assessment of the burden of diseases in terms of major outcomes, such as mortality, hospital readmissions and use of healthcare resources, thus providing answers to a wide spectrum of research questions. However, a crucial issue is the reliability of information gathered. Aim of this protocol is to validate International Classification of Diseases, 9th Revision-Clinical Modification (ICD-9-CM) codes for major cardiovascular diseases, including acute myocardial infarction (AMI), heart failure (HF), atrial fibrillation (AF) and stroke.
Data from the centralised administrative database of the entire Umbria Region (910 000 residents, located in Central Italy) will be considered. Patients with a first hospital discharge for AMI, HF, AF or stroke, between 2012 and 2014, will be identified in the administrative database using the following groups of ICD-9-CM codes located in primary position: (1) 410.x for AMI; (2) 427.31 for AF; (3) 428 for HF; (4) 433.x1, 434 (excluding 434.x0), 436 for ischaemic stroke, 430 and 431 for haemorrhagic stroke (subarachnoid haemorrhage and intracerebral haemorrhage). A random sample of cases, and of non-cases, will be selected, and the corresponding medical charts retrieved and reviewed for validation by pairs of trained, independent reviewers. For each condition considered, case adjudication of disease will be based on symptoms, laboratory and diagnostic tests, as available in medical charts. Divergences will be resolved by consensus. Sensitivity and specificity with 95% CIs will be calculated.
Research protocol has been granted approval by the Regional Ethics Committee. Study results will be disseminated widely through peer-reviewed publications and presentations at national and international conferences.
行政医疗保健数据库能够根据主要结局,如死亡率、医院再入院率和医疗资源使用情况,对疾病负担进行全面评估,从而为广泛的研究问题提供答案。然而,一个关键问题是所收集信息的可靠性。本方案的目的是验证国际疾病分类第九版临床修订本(ICD-9-CM)编码用于主要心血管疾病,包括急性心肌梗死(AMI)、心力衰竭(HF)、心房颤动(AF)和中风。
将考虑来自意大利中部翁布里亚地区整个集中行政数据库的数据(91万居民)。2012年至2014年期间,首次因AMI、HF、AF或中风出院的患者将在行政数据库中使用位于首位的以下几组ICD-9-CM编码进行识别:(1)AMI为410.x;(2)AF为427.31;(3)HF为428;(4)缺血性中风为433.x1、434(不包括434.x0)、436,出血性中风(蛛网膜下腔出血和脑出血)为430和431。将选取病例和非病例的随机样本,并检索相应的病历,由经过培训的独立评审员对进行成对评审以进行验证。对于每种考虑的疾病,疾病的病例判定将基于病历中可用的症状、实验室检查和诊断测试。分歧将通过协商一致解决。将计算95%置信区间的敏感性和特异性。
研究方案已获得地区伦理委员会的批准。研究结果将通过同行评审出版物以及在国内和国际会议上的报告广泛传播。