Acute cardiac injury in patients with COVID-19

This article has been Reviewed by the following groups

Read the full article

Abstract

Introduction: Cardiac complications of COVID-19 are potentially life-threatening. The occurrence of myocardial injury in the context of COVID-19 is multifactorial and has generated increasing interest. Methods: A systematic review with meta-analysis of the literature was performed. MEDLINE and EMBASE were searched. Two independente reviewers evaluated the selected manuscripts for the outcome myocardial injury, defined by troponin elevation above the 99th percentile. Study heterogeneity and risk of bias were evaluated. Results: Eight studies, with a total of 1229 patients, were included. The frequency of myocardial injury was 16% (95% CI: 9% - 27%). The heterogeneity among studies was high (93%). Conclusions: Myocardial injury may occur in patients with COVID-19, with a frequency of 16% among current studies. Continuous research is needed to update these findings, as the pandemic evolves, and to define the implications of myocardial injury in the context of this infection.

Article activity feed

  1. SciScore for 10.1101/2020.05.18.20105866: (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
    Sources of information: Two databases were searched: MEDLINE and Embase.
    MEDLINE
    suggested: (MEDLINE, RRID:SCR_002185)
    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.