Influenza infection, Acute myocardial Infarction, Flu Shot during COVID-19 Pandemic in US population. A Review of Literature

  1. Nischit Baral
  2. Nirajan Nayak

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Abstract

Influenza is a major cause of hospitalization in all age groups but can cause more severe infections in specific high-risk population. Novel Corona Virus Disease 2019 (COVID-19) pandemic and Influenza virus infection cause similar illness and coexist. Cardiovascular complications due to influenza are important causes of morbidity and mortality in the US, especially in the elderly population (aged more than 65 years). Acute Myocardial Infarction (AMI) is the most serious among the cardiovascular causes of mortality following the attack of influenza, mainly in patients with various co-morbidities like pre-existing coronary artery disease (CAD), diabetes mellitus (DM), hypertension (HTN), and heart failure (HF). We have reviewed the association between influenza virus infection and AMI and extrapolated the beneficial effects of influenza vaccine in preventing AMI and its grave consequences. We have also highlighted about the importance of flu shot during the COVID-19 pandemic.

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  1. Version published to 10.1101/2021.07.14.21260549v2 on medRxiv
  2. ScreenIT

    SciScore for 10.1101/2021.07.14.21260549: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data extraction: We searched Medline and Embase using relevant Medical Subject Headings (MeSH) termed influenza or influenza virus or flu or Corona virus, COVID-19, Novel Corona Virus, SARA-CoV-2, flu vaccine, and myocardial infarction or acute myocardial infarction or STEMI/ACS or heart attack literature published within the last five years with additional filters of human studies and customized articles.
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    MeSH
    suggested: (MeSH, RRID:SCR_004750)

    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.

    Results from scite Reference Check: We found no unreliable references.

    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.

  3. Version published to 10.1101/2021.07.14.21260549v1 on medRxiv