Early depressed mood after stroke predicts long-term disability: the Northern Manhattan Stroke Study (NOMASS).
Early depressed mood after stroke predicts long-term disability: the Northern Manhattan Stroke Study (NOMASS).
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DOI:
10.1161/strokeaha.110.583997
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发表时间:
2010-09
期刊:
影响因子:
8.3
通讯作者:
Wright CB
中科院分区:
文献类型:
--
作者:
Willey JZ;Disla N;Moon YP;Paik MC;Sacco RL;Boden-Albala B;Elkind MS;Wright CB
Depression is highly prevalent after stroke, and may influence recovery. We aimed to determine whether depressed mood acutely after stroke predicts subsequent disability and mortality. As part of the Northern Manhattan Stroke Study, a population-based incident stroke case follow-up study performed in a multiethnic urban population, participants were asked about depressed mood within 7–10 days after stroke. Participants were followed every 6 months the first 2 years, and yearly thereafter for 5 years, for death and disability measured by the Barthel Index (BI). We fitted polytomous logistic regression models using canonical link to examine the association between depressed mood after stroke and disability, comparing moderate (BI 60–95) and severe (BI < 60) disability to no disability (BI ≥ 95). Cox-proportional hazards models were created to examine the association between depressed mood and mortality. A question about depressed mood within 7–10 days after stroke was asked in 340 of 655 ischemic stroke patients enrolled, and 139 reported that they felt depressed. In multivariate analyses controlling for socio-demographic factors, stroke severity, and medical conditions, depressed mood was associated with a greater odds of severe disability compared to no disability at one (OR 2.91, 95% CI 1.07–7.91) and two years (OR 3.72, 95% CI 1.29–10.71) after stroke. Depressed mood was not associated with all cause mortality or vascular death. Depressed mood after stroke is associated with disability but not mortality after stroke. Early screening and intervention for mood disorders after stroke may improve outcomes and requires further research.