Impact of hospitalised patients with COVID-19 taking Renin-Angiotensin-Aldosterone System inhibitors: a systematic review and meta-analysis

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Abstract

Inhibitors of the Renin-Angiotensin-Aldosterone System (RAAS) notably Angiotensin-Converting Enzyme inhibitors (ACEi) or Angiotensin Receptor Blockers (ARB) have been scrutinised in hypertensive patients hospitalised with coronavirus disease 2019 (COVID-19) following some initial data they might adversely affect prognosis. With an increasing number of COVID-19 cases worldwide and the likelihood of a “second wave” of infection it is imperative to better understand the impact RAAS inhibitor use in antihypertensive covid positive hospitalised patients.

A systematic review and meta-analysis of ACEi or ARB in patients admitted with COVID-19 was conducted. PubMed and Embase were searched and six studies were included in the meta-analysis. Pooled analysis demonstrated that 18.3% of the patients admitted with COVID-19 were prescribed ACEi/ARBs (0.183, CI 0.129 to 0.238, p<0.001). The use of RAAS inhibitors did not show any association with ‘critical’ events (Pooled OR 0.833 CI 0.605 to 1.148, p=0.264) or death (Pooled OR 0.650, CI 0.356 to 1.187, p=0.161). In conclusion, our meta-analysis including ‘critical’ events and mortality data on patients prescribed ACEi/ARB and hospitalised with COVID-19, found no evidence to associate ACEi/ARB with death or adverse events.

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  1. SciScore for 10.1101/2020.05.03.20089375: (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
    Two databases, PubMed and Embase, were searched from inception to 2nd May 2020 using key terms such as Angiotensin-Converting Enzyme inhibitors, Angiotensin Receptor Blockers, coronavirus disease 2019, SARS-COV-2.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Limitations: Due to the emerging infections, there is insufficient data to compare these analyses to a control population. Heterogeneity in the meta-analysis is likely due to the varied population admitted with COVID-19 and the wide definitions of ‘critical’ or severe events.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.