Validation of Family History in Subarachnoid Hemorrhage

Author:

Bromberg J.E.C.1,Rinkel G.J.E.1,Algra A.1,Greebe P.1,Beldman T.1,van Gijn J.1

Affiliation:

1. From the University Department of Neurology, Utrecht, Netherlands.

Abstract

Background and Purpose In 6% to 9% of patients with subarachnoid hemorrhage (SAH), familial aggregation occurs; truly familial cases carry a worse prognosis than sporadic cases and raise the question of screening. If relatives have died from SAH, the family history is often the only available clue to the diagnosis, but the sensitivity and predictive value of such a history for SAH are unknown. Methods We contacted a next of kin for a consecutive series of patients who had died in the hospital of subarachnoid hemorrhage (n=20), intracerebral hemorrhage (n=22), or ischemic stroke (n=23) between 3 and 5 years previously, and we compared the diagnosis based on the history from this next of kin with the medical diagnosis confirmed by a CT scan. Results The positive predictive value of the diagnosis of “probable SAH” from the history in our study sample was 0.7; when adjusted for incidence rates in the general population it was 0.6 (95% confidence interval, 0.3 to 0.8). The sensitivity of the diagnosis based on the history was 0.5 (95% confidence interval, 0.3 to 0.7); 10 of the 20 cases of SAH were not identified. Conclusions The family history of SAH, without confirmation from medical documents, is an insufficiently accurate tool to prove or disprove the diagnosis of familial SAH.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3