Complications as important predictors of disability in ischemic stroke

Author:

Pinzon Rizaldy Taslim,Sanyasi Rosa De Lima Renita

Abstract

BackgroundStroke is the main cause of disability and death in many countries. The high incidence of disability in stroke survivors requires special attention to determine various predictive factors of disability. This study aimed to identify the various predictive factors of disability in ischemic stroke.MethodsThis study was a cross sectional study on 4510 ischemic stroke patients. Each patient’s data had been recorded in the electronic stroke registry of Bethesda Hospital. Ischemic stroke diagnosis was confirmed by brain CT scan, which was interpreted by a neurologist and a radiologist. Disability was assessed using the modified Rankin scale. Predictors of disability were assessed. Multiple logistic regression analysis was used to analyse the data. ResultsThe subjects were predominantly males, >60 years of age, and suffered stroke for the first time. The incidence of disability was 31.5% (1420/4510). Multiple logistic regression analysis showed that the presence of complications (OR: 6.43; 95% CI: 4.74-8.73; p<0.001), decreased level of consciousness (OR: 4.82; 95% CI: 3.95-5.90; p <0.001), onset ³3 hours (OR: 1.93; 95% CI: 1.52-2.45; p<0.001), recurrent stroke (OR: 1.63; 95% CI: 1.39-1.90; p<0.001), and age >60 years (OR: 1.55; 95% CI: 1.35-1.79; p<0.001) were independent predictive factors of disability.ConclusionWe demonstrated that a substantial proportion of patients with ischemic stroke become disabled. And the presence of complications was the most predictive factor of disability in ischemic stroke.

Publisher

Universa Medicina

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