Demographic Characteristics and Clinical Features of COVID-19 Patients Admitted in a Combined Military Hospital of Bangladesh

  1. Sabiha Mahboob
  2. Fatema Johora
  3. Asma Akter Abbasy
  4. Fatiha Tasmin Jeenia
  5. Mohammad Ali
  6. Noor E Naharin
  7. Jannatul Ferdoush

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Abstract

Background: COVID-19, one of the worst pandemics in humankinds history on December 2019. Clinical presentations of COVID-19 patients are varied and being closely similar to those of seasonal flu, its difficult to differentiate it on first presentation as COVID. Clinical scenario and demographic characteristics provide important guideline in the management of COVID. Materials and Methods: The objective of this cross-sectional study was to explore the demographic characteristics and clinical features 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% female. Mean age of patients was 34.3 (12.2). Highest percentages (67.2%) of patients were from age group 21-40 years. 85.4% of the patients had no comorbidities, and hypertension (10.1%) was the most common comorbidity. Most (83.1%) of the admitted patients were diagnosed as mild cases. 96.4% cases were symptomatic and fever (84.5%) was the most common symptoms of COVID, followed by dry cough (46.6%), sore throat (19.6%), headache (18.3%), bodyache (17.8%), loss of appetite (15.5%), tiredness (15.5%) and anorexia (14.2%). Conclusion: This single center study revealed younger age, male predominance, less presence of comorbidites, mild cases, high proportion of symptomatic patients, and fever and cough as the most common presenting features among the admitted COVID-19 patients in CMH Bogura.

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    SciScore for 10.1101/2022.02.12.22270893: (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.

  2. Version published to 10.1101/2022.02.12.22270893 on medRxiv