Systematic Review and Meta-Analysis of Statin Use and Mortality, Intensive Care Unit Admission and Requirement for Mechanical Ventilation in COVID-19 Patients

Ut Sam Lao, Chak Fun Law, Daniel T. Baptista-Hon (Lead / Corresponding author), Brian Tomlinson (Lead / Corresponding author)

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    18 Citations (Scopus)
    81 Downloads (Pure)

    Abstract

    There is mounting evidence that statin use is beneficial for COVID-19 outcomes. We performed a systematic review and meta-analysis to evaluate the association between statin use and mortality, intensive care unit (ICU) admission and mechanical ventilation in COVID-19 patients, on studies which provided covariate adjusted effect estimates, or performed propensity score matching. We searched PubMed, Embase, Web of Science and Scopus for studies and extracted odds or hazard ratios for specified outcome measures. Data synthesis was performed using a random-effects inverse variance method. Risk of bias, heterogeneity and publication bias were analyzed using standard methods. Our results show that statin use was associated with significant reductions in mortality (OR = 0.72, 95% CI: 0.67–0.77; HR = 0.74, 95% CI: 0.69, 0.79), ICU admission (OR = 0.94, 95% CI: 0.89–0.99; HR = 0.76, 95% CI: 0.60–0.96) and mechanical ventilation (OR = 0.84, 95% CI: 0.78–0.92; HR = 0.67, 95% CI: 0.47–0.97). Nevertheless, current retrospective studies are based on the antecedent use of statins prior to infection and/or continued use of statin after hospital admission. The results may not apply to the de novo commencement of statin treatment after developing COVID-19 infection. Prospective studies are lacking and necessary.

    Original languageEnglish
    Article number5454
    Number of pages16
    JournalJournal of Clinical Medicine
    Volume11
    Issue number18
    DOIs
    Publication statusPublished - 16 Sept 2022

    Keywords

    • COVID-19
    • intensive care unit
    • mechanical ventilation
    • meta-analysis
    • mortality
    • statin
    • systematic review

    ASJC Scopus subject areas

    • General Medicine

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