ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
Predictors of Stroke Subtype and Severity in Patients of a Tertiary Care Hospital, Dehradun.
Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
contextStroke caused 6.7 million deaths worldwide in 2013. In India, the cumulated incidence of stroke was 105-152/100,000 persons per year in last decade. Dearth of data on predictors of stroke subtype and severity in India lead to this study.
aims(1) To categorize presenting stroke patients by subtype and severity. (2) To establish association of risk factors with above. (3) To predict subtype and severity by risk factors. SETTINGS AND
designHospital-based cross-sectional analytic, retrospective study. SUBJECTS AND
methodsA predesigned, pretested, semi-structured questionnaire with standard tool (National Institute of Health Stroke Scale Score), informed consent after prior approval of institutional ethics and research committees. STATISTICAL ANALYSIS USED: Percentages, proportions, Chi-square trends, linear regression, independent
resultsMean age of 102 patients was 62.1 (±12.8 years). Stroke subtype associated with socioeconomic status (χ
conclusionsStroke subtype is significantly associated with higher socioeconomic status and severe stroke. Stroke severity is significantly associated with hemorrhagic stroke. Stroke subtype, sex, dyslipidemia, alcohol intake, and education may act as predictors of stroke severity.
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