Predisposing factors associated with the severity of the illness in adults with Covid-19 in Nepal

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Abstract

Objective

We aimed to determine the prevalence of the severity of COVID-19 illness and its associated predisposing factors in Nepal.

Design

Cross-sectional, observational study

Setting

Single-centered hospital-based study, conducted at Nepal armed police force (APF) hospital, Kathmandu, Nepal.

Participants

All individuals aged ≥18 years with laboratory-confirmed SARS-Cov-2 (the SARS-CoV-2 specific real-time-RT-PCR result positive), regardless the severity of their disease.

Measurements

Disease severity was evaluated as a primary outcome and age, sex, BMI, smoking history, alcohol history, Hypertension, diabetes mellitus were evaluated as predictors in the analysis.

Results

Mean ages of the patients were 40.79±16.04 years, and about two-thirds of the patients were male 146 (73.7%). More than half 57.1% (95%CI: 52.42-61.51) of the population had a mild infection, whereas 16.7% (95%CI: 7.4-24.6%) had severe/critical illness. In univariate analysis, each 1-year increase in age (OR: 1.05; 95% CI:1.030-1.081; P<0.001), each 1 unit increase in BMI (OR:1.12; 95% CI:1.02-1.25; P=0.033), comorbid illness (OR: 5.79; 95%CI: 2.51-13.33; P<0.001), hypertension (OR:5.95; 95%CI:2.66-13.30: P<0.001), diabetes mellitus (OR:3.26; 95%CI:1.30-8.15: P<0.005), and fever (OR:34.64; 95% CI:7.98-150.38; P<0.001) were independently associated with severity of the disease, whereas age (OR: 1.049; 95% CI: 1.019-1.080; P=0.02), hypertension (OR: 4.77; 95%CI: 1.62-14.04; P=0.004), and fever (OR: 51.02; 95%CI: 9.56-272.51; P<0.001) remained a significant predictive factors in multivariate analysis.

Conclusion

The majority of the patients with COVID-19 had a mild illness, with 16.7% severe illness. Age, BMI, hypertension, diabetes mellitus, comorbidity, and temperature were associated the severity of the illness. Age, hypertension, and fever emerged as an independent predictive factors in multivariate analysis, and thus, these vulnerable groups should be given special protection to the infection and proactive intervention should be initiated at an early stage of the infection to diminish the severity of the illness and improve the clinical outcome of the disease.

Strengths and limitations of the study

  • Much of the studies on COVID-19 in Nepal focus on the describing epidemiology and clinical profile of the disease, however, risk factors that contribute to the severity of the illness are overlooked.

  • This study may help estimate the burden of the disease and identify the vulnerable group with poor prognosis, which is vital for clinicians and the public health approach to deal with the disease.

  • Although limiting the study to a single-center with a relatively small sample size, it, however, allows evaluation of the importance of the demographic and geographical variation.

  • Socio-economic factors, lifestyle, and availability of quality medical care may have contributed to the severity of the COVID-19, which needs to be addressed in a further large-scale study.

Article activity feed

  1. SciScore for 10.1101/2021.05.16.21257280: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study protocol was approved by Ethical Review Board (ERB) of Nepal Health Research Council (NHRC), Nepal (Ref. No: 1297).
    Consent: Informed consent was granted from all patients recruited in the study.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data processing and analysis: The data collected from patients’ medical records were entered into an excel spreadsheet and then exported to SPSS version 20 for analysis.
    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.