Break-through COVID-19 infection rate with Indian strain in Single-center Healthcare Workers – A real world data

  1. Ravindra Sabnis
  2. Abhijit Patil
  3. Nitiraj Shete
  4. Arun Kumar Rastogi

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Abstract

Introduction

It is observed that many healthcare workers got COVID-19 infection despite of completing both doses of Covishield vaccine. This study aimed to find real incidence of vaccine breakthrough infection.

Material and methods

All hospital employees, who were fully vaccinated were included in study. Details about their vaccine side effects, infection prior to vaccination, post vaccination infection, severity of infection, hospital and ICU admission were noted.

Results

None encountered any significant side effects of vaccine. Of the 461 participants – 86 (18.65%) got infection average 38 days (range 14-70days) after vaccination. As per the NIH classification, out of 86, disease was mild in 69(80.2%), moderate in 10(11.62%), severe in 6(6.97%) and critical in 1(1.16%). Of these, 10(11.62%) required hospital admission. Of these 10, 2 were shifted to ICU. Of the 2, One recovered while one died. Thus mortality was 1/86(1.6%).

Conclusion

Breakthrough infection rate in health care workers was 18.65%. Moderate, severe or critical disease occurred in 19.7% participants even after two doses of vaccine. Mortality due to disease cannot be completely obviated due to vaccine. The vaccine was safe without any significant adverse events.

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  1. ScreenIT

    SciScore for 10.1101/2021.07.02.21258881: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: The health-related data was retrieved from the hospital registry after consent of the participant.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The statistical analysis was done using software IBM SPSS version 25 (IBM, Armonk, NY, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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.

  2. Version published to 10.1101/2021.07.02.21258881v1 on medRxiv