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脑血管疾病主动监测与被动监测的比较:科珀斯克里斯蒂脑卒中介入监测(BASIC)项目

Comparison of active and passive surveillance for cerebrovascular disease: The Brain Attack Surveillance in Corpus Christi (BASIC) Project.

作者信息

Piriyawat Paisith, Smajsová Miriam, Smith Melinda A, Pallegar Sanjay, Al-Wabil Areej, Garcia Nelda M, Risser Jan M, Moyé Lemuel A, Morgenstern Lewis B

机构信息

Stroke Program, Department of Neurology, University of Texas at Houston, USA.

出版信息

Am J Epidemiol. 2002 Dec 1;156(11):1062-9. doi: 10.1093/aje/kwf152.

Abstract

To provide a scientific rationale for choosing an optimal stroke surveillance method, the authors compared active surveillance with passive surveillance. The methods involved ascertaining cerebrovascular events that occurred in Nueces County, Texas, during calendar year 2000. Active methods utilized screening of hospital and emergency department logs and routine visiting of hospital wards and out-of-hospital sources. Passive means relied on International Classification of Diseases, Ninth Revision (ICD-9), discharge codes for case ascertainment. Cases were validated by fellowship-trained stroke neurologists on the basis of published criteria. The results showed that, of the 6,236 events identified through both active and passive surveillance, 802 were validated to be cerebrovascular events. When passive surveillance alone was used, 209 (26.1%) cases were missed, including 73 (9.1%) cases involving hospital admission and 136 (17.0%) out-of-hospital strokes. Through active surveillance alone, 57 (7.1%) cases were missed. The positive predictive value of active surveillance was 12.2%. Among the 2,099 patients admitted to a hospital, passive surveillance using ICD-9 codes missed 73 cases of cerebrovascular disease and mistakenly included 222 noncases. There were 57 admitted hospital cases missed by active surveillance, including 13 not recognized because of human error. This study provided a quantitative means of assessing the utility of active and passive surveillance for cerebrovascular disease. More uniform surveillance methods would allow comparisons across studies and communities.

摘要

为了为选择最佳的卒中监测方法提供科学依据,作者对主动监测和被动监测进行了比较。这些方法涉及确定2000年日历年在得克萨斯州努埃塞斯县发生的脑血管事件。主动方法利用筛查医院和急诊科日志以及定期走访医院病房和院外机构。被动方法则依靠国际疾病分类第九版(ICD - 9)的出院编码来确定病例。病例由经过专科培训的卒中神经科医生根据已发表的标准进行验证。结果显示,在通过主动和被动监测识别出的6236起事件中,有802起被验证为脑血管事件。仅使用被动监测时,漏诊了209例(26.1%),其中包括73例(9.1%)需要住院治疗的病例和136例(17.0%)院外卒中病例。仅通过主动监测,漏诊了57例(7.1%)。主动监测的阳性预测值为12.2%。在2099名住院患者中,使用ICD - 9编码的被动监测漏诊了73例脑血管疾病病例,并且错误地纳入了222例非病例。主动监测漏诊了57例住院病例,其中13例因人为失误未被识别。这项研究提供了一种定量方法来评估主动和被动监测在脑血管疾病中的效用。更统一的监测方法将有助于不同研究和社区之间进行比较。

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