Incidence of cerebrovascular disease as a comorbidity in patients with COVID-19: A meta-analysis

Aging (Albany NY). 2020 Nov 23;12(23):23450-23463. doi: 10.18632/aging.104086. Epub 2020 Nov 23.

Abstract

It is essential to know whether COVID-19 patients have a history of cerebrovascular disease, as it may be predictive of prognosis and useful for allocation of limited medical resources. This meta-analysis was performed to assess the incidence of cerebrovascular disease as a comorbidity in COVID-19 patients. The PubMed, Cochrane Library, Embase, CNKI, WFSD, and VIP databases were systematically searched. The pooled analysis of relevant data was conducted using RevMan 5.3 software. The primary outcome was incidence of cerebrovascular disease as a comorbidity. Forty-seven studies involving 16,143 COVID-19 patients were included in this analysis. The incidences of a history of cerebrovascular disease and hypertension in COVID-19 patients were estimated to be 3.0% (95% CI, 2.0%-4.0%; P<0.00001) and 23.0% (95% CI, 16.0%-29.0%; P<0.00001), respectively. The incidence of dizziness/headache as the first symptom in COVID-19 patients was estimated to be 14.0% (95% CI, 8.0%-20.0%; P<0.00001). Subgroup analyses indicated that country, sex ratio, and sample size are potential influencing factors affecting the incidences of cerebrovascular disease, hypertension, and dizziness/headache. These findings suggest that cerebrovascular disease is an underlying comorbidity among patients with COVID-19. In addition, patients experiencing dizziness/headache as the first symptom of COVID-19 should receive a neurological examination.

Keywords: COVID-19; cerebrovascular diseases; comorbidity; meta-analysis.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19 / complications*
  • COVID-19 / epidemiology*
  • COVID-19 / virology
  • Cerebrovascular Disorders / complications*
  • Cerebrovascular Disorders / epidemiology*
  • Comorbidity
  • Humans
  • Hypertension / complications
  • Hypertension / epidemiology
  • Incidence
  • Mortality
  • Patient Outcome Assessment
  • Prognosis
  • Publication Bias
  • Risk Assessment
  • Risk Factors
  • SARS-CoV-2*