Association between angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers use and the risk of infection and clinical outcome of COVID-19: a comprehensive systematic review and meta-analysis

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Abstract

Background

The effect of using Angiotensin-converting enzyme inhibitors (ACEIs) and Angiotensin-receptor blockers (ARBs) on the risk of coronavirus disease 2019 (COVID-19) is a topic of recent debate. Although studies have examined the potential association between them, the results remain controversial. This study aims to determine the true effect of ACEI/ARBs use on the risk of infection and clinical outcome of COVID-19.

Methods

Five electronic databases (PubMed, Web of science, Cochrane library, China National Knowledge Infrastructure database, medRxiv preprint server) were retrieved to find eligible studies. Meta-analysis was performed to examine the association between ACEI/ARBs use and the risk of infection and clinical outcome of COVID-19.

Results

22 articles containing 157,328 patients were included. Use of ACEI/ARBs was not associated with increased risk of infection (Adjusted OR: 0.96, 95% CI: 0.91-1.01, I 2 =5.8%) or increased severity (Adjusted OR: 0.90, 95% CI: 0.77-1.05, I 2 =27.6%) of COVID-19. The use of ACEI/ARBs was associated with lower risk of death from COVID-19 (Adjusted OR: 0.66, 95% CI: 0.44-0.99, I 2 =57.9%). Similar results of reduced risk of death were also found for ACEI/ARB use in COVID-19 patients with hypertension (Adjusted OR: 0.36, 95% CI: 0.17-0.77, I 2 =0).

Conclusion

This study provides evidence that ACEI/ARBs use for COVID-19 patients does not lead to harmful outcomes and may even provide a beneficial role and decrease mortality from COVID-19. Clinicians should not discontinue ACEI/ARBs for patients diagnosed with COVID-19 if they are already on these agents.

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  1. SciScore for 10.1101/2020.07.02.20144717: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    2.1 Literature search and data source: We searched five electronic databases (PubMed, Web of science, Cochrane library, China National Knowledge Infrastructure database, medRxiv preprint server) to collect relevant studies published until May 20, 2020.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Cochrane library
    suggested: (Cochrane Library, RRID:SCR_013000)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open …