4.4 Article

Can acute clinical outcomes predict health-related quality of life after stroke: a one-year prospective study of stroke survivors

Journal

HEALTH AND QUALITY OF LIFE OUTCOMES
Volume 16, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s12955-018-1043-3

Keywords

Health-related quality of life; Stroke; Clinical outcome measures; EQ-5D-3L; Shah-modified Barthel index; Modified Rankin scale; National Institute of health stroke scale; Mini-mental state examination; Frontal assessment battery

Funding

  1. Singapore Ministry of Health's National Medical Research Council under the Centre Grant Programme - Singapore Population Health Improvement Centre [NMRC/CG/C026/2017_NUHS]
  2. Health Services Research Grant WBS [R-608-000-170-511]

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Background: Health-related quality of life (HRQoL) is a key metric to understand the impact of stroke from patients' perspective. Yet HRQoL is not readily measured in clinical practice. This study aims to investigate the extent to which clinical outcomes during admission predict HRQoL at 3 months and 1 year post-stroke. Methods: Stroke patients admitted to five tertiary hospitals in Singapore were assessed with Shah-modified Barthel Index (Shah-mBI), National Institute of Health Stroke Scale (NIHSS), Modified Rankin Scale (mRS), Mini-Mental State Examination (MMSE), and Frontal Assessment Battery (FAB) before discharge, and the EQ-5D questionnaire at 3 months and 12 months post-stroke. Association of clinical measures with the EQ index at both time points was examined using multiple linear regression models. Forward stepwise selection was applied and consistently significant clinical measures were analyzed for their association with individual dimensions of EQ-5D in multiple logistic regressions. Results: All five clinical measures at baseline were significant predictors of the EQ index at 3 months and 12 months, except that MMSE was not significantly associated with the EQ index at 12 months. NIHSS (3-month standardized beta = -0. 111; 12-month standardized beta = -0.109) and mRS (3-month standardized beta = -0.122; 12-month standardized beta = -0. 080) were shown to have a larger effect size than other measures. The contribution of NIHSS and mRS as significant predictors of HRQoL was mostly explained by their association with the mobility, self-care, and usual activities dimensions of EQ-5D. Conclusions: HRQoL at 3 months and 12 months post-stroke can be predicted by clinical outcomes in the acute phase. NIHSS and mRS are better predictors than BI, MMSE, and FAB.

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