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

Published online

Journal Article

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 β = - 0.111; 12-month standardized β = - 0.109) and mRS (3-month standardized β = - 0.122; 12-month standardized β = - 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.

Full Text

Duke Authors

Cited Authors

  • Yeoh, YS; Koh, GC-H; Tan, CS; Lee, KE; Tu, TM; Singh, R; Chang, HM; De Silva, DA; Ng, YS; Ang, YH; Yap, P; Chew, E; Merchant, RA; Yeo, TT; Chou, N; Venketasubramanian, N; Young, SH; Hoenig, H; Matchar, DB; Luo, N

Published Date

  • November 21, 2018

Published In

Volume / Issue

  • 16 / 1

Start / End Page

  • 221 -

PubMed ID

  • 30463574

Pubmed Central ID

  • 30463574

Electronic International Standard Serial Number (EISSN)

  • 1477-7525

Digital Object Identifier (DOI)

  • 10.1186/s12955-018-1043-3

Language

  • eng

Conference Location

  • England