Demographic and Clinical Features Associated with in-Hospital Mortality in Egyptian COVID-19 Patients: A Retrospective Cohort Study

  1. Noha Asem
  2. Mohamed Hassany
  3. Khaled Taema
  4. Hossam Masoud
  5. Gehan Elassal
  6. Ehab Kamal
  7. Wagdy Abdel Moneim Amin
  8. Akram AbdelBary
  9. Amin Mohamed Abdel-Baki
  10. Samy Zaky
  11. Ahmad Said Abdalmohsen
  12. Hamdy Mohamed Ibrahim
  13. Mohamed Abdel Hakim Elnady
  14. Ahmed Sh. Mohamed
  15. Ehab Attia
  16. Hala Zaid

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Abstract

Aim: We evaluated in this study the demographic and clinical characteristics of COVID-19 disease in Egyptian population with special consideration for its mortality predictors. Methods: 8162 participants (mean age 48.7±17.3 years,54.5% males) with RT-PCR positive COVID-19 were included. The electronic medical records were reviewed for demographic, clinical, laboratory, and radiologic features. The primary outcome was the in-hospital mortality rate. Results: The in-hospital mortality was 11.2%. There was a statistically significant strong association of in-hospital mortality with age >60 years old (OR:4.7; 95% CI 4.1-5.4;p<0.001), diabetes mellitus (OR:4.6; 95% CI 3.99-5.32;p<0.001), hypertension (OR:3.9; 95% CI 3.4-4.5;p<0.001), coronary artery disease (OR:2.7; 95% CI 2.2-3.2;p<0.001), chronic obstructive pulmonary disease (OR:2.1; 95% CI 1.7-2.5;p<0.001), chronic kidney disease (OR:4.8; 95% CI 3.9-5.9;p<0.001), malignancy (OR:3.7; 95% CI 2.3-5.75;p<0.001), neutrophil-lymphocyte ratio >3.1 (OR:6.4; 95% CI 4.4-9.5;P< 0.001), and ground glass opacities (GGOs) in CT chest (OR:3.5; 95% CI 2.84-4.4;P<0.001), respectively. There was a statistically significant moderate association of in-hospital mortality with male gender (OR:1.6; 95% CI 1.38-1.83;p<0.001) and smoking (OR:1.6; 95% CI 1.3-1.9;p<0.001). GGOs was reported as the most common CT finding (occurred in 73.1% of the study participants). Conclusion: This multicenter, retrospective study ascertained the higher in-hospital mortality rate in Egyptian COVID-19 patients with different comorbidities.

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  1. Version published to 10.3889/oamjms.2021.7226
  2. ScreenIT

    SciScore for 10.1101/2021.03.22.21253577: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study design was approved by the research ethics committee and the institutional review board of the Egyptian Ministry of Health and Population.
    Consent: The informed consent for data collection was obtained from patients or first degree relatives, the study procedures were carried out following the Code of Ethics of the World Medical Association (Declaration of Helsinki), all information/images were anonymized and coded, and the privacy and confidentiality rights of the study participants were observed throughout the study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Analysis: Retrospective data from the study participants’ standardized electronic medical records were collected and coded, and the data were analyzed using the statistical package for the social sciences software (SPSS version 25).
    statistical package for the social sciences
    suggested: None
    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.

    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 10.1101/2021.03.22.21253577 on medRxiv