Royal College of Surgeons in Ireland, Dublin, Ireland.
J Neurol. 2010 Aug;257(8):1235-9. doi: 10.1007/s00415-010-5494-7. Epub 2010 Feb 12.
The purpose of this study was to determine the accuracy of death certification for amyotrophic lateral sclerosis (ALS)/motor neuron disease (MND) as recorded by the Central Statistics Office in the Republic of Ireland, and to examine its utility in capture-recapture analysis. The database of the Irish Central Statistics Office (CSO) was searched for death certificates of individuals over 15 years of age for whom ALS/MND (ICD9) was listed as a primary, secondary or tertiary cause of death from 2002 to 2006. This dataset was compared with mortality data from the Irish Register for ALS/MND for the same period. Three hundred ninety-eight cases with a diagnosis of ALS were identified through the CSO. The cause of death as identified by the CSO was 318 out of 398 (80%) cases known to the Register during the study period. ALS/MND was listed as a cause of death by the CSO in 79 (20%) cases that were unknown to the ALS/MND Register. Of these, ALS/MND was listed as a secondary/tertiary cause of death in 76, and 75% of all such deaths occurred in rural areas. Capture-recapture analysis using the CSO and ALS Register as independent datasets generated a likely over-estimation of the crude incidence of ALS from 2.1/100,000 to 3.45/100,000 in Ireland. Population-based registers are most accurate when ascertaining from a wide network of inter-dependent sources. Death certification for ALS/MND lacks both sensitivity and specificity. Capture-recapture exercises using such data sources are likely to over-estimate the true incidence of disease.
本研究旨在确定爱尔兰中央统计局记录的肌萎缩侧索硬化症(ALS)/运动神经元病(MND)的死亡证明的准确性,并检验其在捕获再捕获分析中的应用。从 2002 年到 2006 年,在爱尔兰中央统计局(CSO)的数据库中搜索了 15 岁以上的个人的死亡证明,这些人将 ALS/MND(ICD9)列为主要、次要或三级死因。将该数据集与同一时期爱尔兰 ALS/MND 登记册中的死亡率数据进行了比较。通过 CSO 确定了 398 例 ALS 诊断病例。CSO 确定的死亡原因是在研究期间登记册中已知的 398 例中的 318 例(80%)。CSO 将 ALS/MND 列为 79 例(20%)未知 ALS/MND 登记册的死亡原因。在这些病例中,76 例 ALS/MND 被列为次要/三级死因,所有此类死亡中有 75%发生在农村地区。使用 CSO 和 ALS 登记处作为独立数据集进行捕获再捕获分析,产生了爱尔兰 ALS 粗发病率的可能高估,从 2.1/100,000 到 3.45/100,000。当从广泛的相互依存的来源网络中确定时,基于人群的登记处最准确。ALS/MND 的死亡证明既缺乏敏感性也缺乏特异性。使用此类数据源进行捕获再捕获练习可能会高估疾病的真实发病率。