Treatment Outline and Clinical Outcome of Hospitalized COVID-19 Patients: Experiences from a Combined Military Hospital of Bangladesh

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

Background

Global knowledge of treatment and outcomes of COVID-19 has been evolving since the onset of the pandemic.

Materials and Methods

The objective of this cross-sectional study was to explore treatment and outcome of COVID-19 patients admitted in a Combined Military Hospital of Bangladesh. Data were collected from treatment records of patients of the CMH Bogura during the period of June 2020 to August 2020. Total 219 RT-PCR positive admitted patients were included as study population.

Result

Among 219 patients, 78.6% were male and 21.5% were female, mean age of patients was 34.3 ± 12.2. About14.6% patients had one or more comorbidities. Most (83.1%) of the admitted patients were diagnosed as mild cases. Antimicrobials were used in 98.8% cases, and frequent use of doxycycline (80.4%) and ivermectine (77.2%) was found. Anticoagulant and steroid therapy were used in 42.0% and 15.5% patients respectively. O 2 therapy was required in 6.0% cases and intensive care unit (ICU) support was needed in 2.3% cases.Duration of hospital stay was 12.1± 4.4 days and 100% of patients were discharged from hospital. There was no single mortality during the study period.

Conclusion

High prevalence of antimicrobials use was observed among the hospitalized COVID-19 patients in this single center study.Supportive care was effective with no incidence of mortality.

Article activity feed

  1. SciScore for 10.1101/2022.03.01.22271740: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Ethical approval was taken from Institutional Review Board (IRB) of CMH Bogura.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data was compiled, presented and analyzed using Microsoft Excel 2007, and was expressed as percentage.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    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.