کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3041583 1184782 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Three-year survival after first-ever ischemic stroke is predicted by initial stroke severity: A hospital-based study
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
پیش نمایش صفحه اول مقاله
Three-year survival after first-ever ischemic stroke is predicted by initial stroke severity: A hospital-based study
چکیده انگلیسی

ObjectiveWe aimed to report 3-year survival and causes of death of first-ever ischemic stroke stratified by initial stroke severity.Study design and settingFrom September 1998 to October 1999, 360 acute first-ever ischemic stroke patients consecutively admitted were followed up prospectively. Patients’ vital status and causes of death were identified from the National Death Registry, till December 31, 2002. Potential prognostic factors available at admission were evaluated using Cox proportional hazards regression analysis with bootstrap validation.ResultsThree hundred and sixty patients, 58% males with age 64.9 years on average, were followed up for 43.4 months with no lost follow-up. Ninety-two (25.6%) patients died, 25 in the first month. The cumulative case–fatality rates were 12.2%, 15.8%, 20.5% and 25.6% for years 1–4. The proportion of vascular deaths was 84% during the first 30 days and 71% for the subsequent 5 months. The hazard ratio (95% CI) was 1.08 (1.05–1.11) for age (1-year increment), 335.90 (20.72–5446.23) for NIHSS 16–38, 2.48 (1.39–4.42) for NIHSS 7–15, and 0.95 (0.91–0.99) for an interaction term of age and NIHSS 16–38.ConclusionThis study confirmed that the initial stroke severity and age were early prognostic factors for 3-year survival after first-ever ischemic stroke, and further demonstrated that the influence of age on survival time was slightly lower in patients with severe stroke.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Neurology and Neurosurgery - Volume 112, Issue 4, May 2010, Pages 296–301
نویسندگان
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