Influence of Pre-Existing Mild Cognitive Impairment and Dementia on Post-Stroke Mortality. The Dijon Stroke Registry

Neuroepidemiology. 2020;54(6):490-497. doi: 10.1159/000497614. Epub 2019 Oct 8.

Abstract

Objective: We assessed the association between pre-stroke cognitive status and 90-day case-fatality.

Methods: Patients with ischemic stroke (IS) or spontaneous intracerebral hemorrhage (ICH) were prospectively identified among residents of Dijon, France, between 2013 and 2015, using a population-based registry. Association between pre-stroke cognitive status and case-fatality at 90 days was evaluated using Cox regression.

Results: Seven hundred sixty-two patients were identified, and information about pre-stroke cognitive status was obtained for 716 (92.6%) of them, including 603 IS (84.2%) and 113 ICH (15.8%). Before stroke, 99 (13.8%) patients had mild cognitive impairment (MCI) and 98 (13.7%) had dementia. Patients with cognitive impairment were older, had a higher prevalence of several risk factors, more severe stroke, more frequent ICH, and less admission to stroke unit. Case-fatality rate at 90 days was 11.7% in patients without cognitive impairment, 32.3% in MCI patients, and 55.1% in patients with dementia. In multivariable analyses, pre-existing MCI (hazard ratio [HR] 2.22, 95% CI 1.21-4.05, p = 0.009) and dementia (HR 4.35, 95% CI 2.49-7.61, p < 0.001) were both associated with 90-day case-fatality.

Conclusion: Pre-stroke MCI and dementia were both associated with increased mortality. These associations were not fully explained by baseline characteristics, pre-stroke dependency, stroke severity or patient management, and underlying reasons need to be investigated.

Keywords: Case-fatality; Dementia; Epidemiology; Mild cognitive impairment; Mortality; Registry; Stroke.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cognitive Dysfunction / epidemiology*
  • Comorbidity
  • Dementia / epidemiology*
  • Female
  • France / epidemiology
  • Humans
  • Male
  • Prospective Studies
  • Registries / statistics & numerical data*
  • Risk Factors
  • Stroke / mortality*