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- Title
Cardio-Cerebrovascular Disease is Associated With Severity and Mortality of COVID-19: A Systematic Review and Meta-Analysis.
- Authors
Yu, Jia-Ning; Wu, Bing-Bing; Yang, Jie; Lei, Xiao-Ling; Shen, Wang-Qin
- Abstract
At present, COVID-19 is raging all over the world. Many comorbidities, such as diabetes mellitus (OR = 2.67, 95% CI = 1.91–3.74) and hypertension (OR = 2.3, 95% CI = 1.76–3.00), have been shown to worsen the patient's condition. However, whether cardio-cerebrovascular disease will affect COVID-19 remains unclear. In this meta-analysis, we collected studies from PubMed, Wed of Science and CNKI (Chinese) to July 25, which reported COVID-19 patients with and without cardio-cerebrovascular disease as well as their severity and mortality. The random-effect model meta-analysis was used to analyze them and get overall odds ratios (OR) with 95% CIs. Funnel plots and the Begg's and Egger's test were used to assess publication bias. Thirty-one studies with 23,632 patients were finally included in the meta-analysis. The results showed an OR of 3.004 (95% CI = 2.097–4.303) for COVID-19 severity and an OR of 5.587 (95% CI = 2.810–11.112) for COVID-19 mortality. Compared with cardiovascular disease, the subgroup analysis indicated that cerebrovascular disease was more likely to increase the severity (OR = 3.400, 95% CI = 1.569–7.368) and mortality (OR = 23.477, 95% CI = 3.050–180.735) of COVID-19. Therefore, it can be inferred that cardio-cerebrovascular disease is associated with an increase in the risk of severe illness and death among COVID-19 patients. This meta-analysis showed that cardio-cerebrovascular disease has a significant relation with severe and death outcomes of COVID-19. Nurses should pay special attention to COVID-19 patients with the cardio-cerebrovascular disease.
- Subjects
ONLINE information services; HYPERTENSION; CEREBROVASCULAR disease; COVID-19; META-analysis; CONFIDENCE intervals; SYSTEMATIC reviews; CARDIOVASCULAR diseases; DIABETES; SEVERITY of illness index; DESCRIPTIVE statistics; ODDS ratio; MEDLINE; DATA analysis software
- Publication
Biological Research for Nursing, 2021, Vol 23, Issue 2, p258
- ISSN
1099-8004
- Publication type
Article
- DOI
10.1177/1099800420951984