Data from: Profile of and risk factors for post-stroke cognitive impairment in diverse ethno-regional groups

  • Jessica W. Lo (Contributor)
  • John D. Crawford (Contributor)
  • David W. Desmond (Contributor)
  • Olivier Godefroy (Contributor)
  • Hanna Jokinen (Contributor)
  • Simin Mahinrad (Department of Internal Medicine, Gerontology and Geriatrics Section, University of Helsinki) (Contributor)
  • Hee Joon Bae (Contributor)
  • Jae Sung Lim (Contributor)
  • Sebastian Köhler (Contributor)
  • Elles Douven (Contributor)
  • Julie Staals (Contributor)
  • Christopher Chen (Contributor)
  • Xin Xu (Contributor)
  • Eddie J. Chong (Contributor)
  • Rufus O. Akinyemi (Contributor)
  • Rajesh N. Kalaria (Contributor)
  • Adesola Ogunniyi (Contributor)
  • Mélanie Barbay (Contributor)
  • Martine Roussel (Contributor)
  • Byung Chul Lee (Contributor)
  • Velandai Srikanth (Contributor)
  • C. Moran (Contributor)
  • Nagaendran Kandiah (Contributor)
  • Russell J. Chander (Contributor)
  • Behnam Sabayan (Contributor)
  • J. Wouter Jukema (Contributor)
  • Susanna Melkas (Contributor)
  • T. Erkinjuntti (Contributor)
  • Henry Brodaty (Contributor)
  • R. Bordet (Contributor)
  • Stéphanie Bombois (Contributor)
  • Hilde Hénon (Contributor)
  • Darren M. Lipnicki (Contributor)
  • Nicole A. Kochan (Contributor)
  • Perminder S. Sachdev (Contributor)
  • Olivier Godefroy (Contributor)
  • Hee Joon Bae (Contributor)
  • Adesola Ogunniyi (Contributor)
  • Régis Bordet (Contributor)
  • Perminder S. Sachdev (Contributor)

Dataset

Description

OBJECTIVE: To address the variability in prevalence estimates and inconsistencies in potential risk factors for post-stroke cognitive impairment (PSCI) using a standardised approach and individual participant data (IPD) from international cohorts in the STROKOG consortium. METHODS: We harmonised data from thirteen studies based in eight countries. Neuropsychological test scores 2 to 6 months after stroke or TIA and appropriate normative data were used to calculate standardised cognitive domain scores. Domain-specific impairment was based on percentile cut-offs from normative groups, and associations between domain scores and risk factors were examined using one-stage IPD meta-analysis. RESULTS: In a combined sample of 3,146 participants admitted to hospital for stroke (97%) or TIA (3%), 44% were impaired in global cognition and 30–35% in individual domains 2 to 6 months after the index event. Diabetes and a history of past stroke were strongly associated with poorer cognitive function after covariate adjustments; hypertension, smoking and atrial fibrillation had weaker domain-specific associations. While there were no significant differences in domain impairment among ethno-racial groups, some inter-ethnic differences were found in the effects of risk factors on cognition. CONCLUSIONS: This paper confirms the high prevalence of PSCI in diverse populations, highlights common risk factors, in particular diabetes, and points to ethno-racial differences which warrant attention in the development of prevention strategies.
Date made availableNov 12 2019
PublisherZENODO
Geographical coverageAsia

Cite this