The COVEG score to predict severity and mortality among hospitalized patients with COVID-19

Authors

  • Mohamed El-Kassas Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
  • Maha El Gaafary Community, Environmental and Occupational Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
  • Mohamed Elbadry Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
  • Mohamed Ahmed Medhat Tropical Medicine and Gastroenterology Department, Faculty of Medicine, Assiut University, Assiut, Egypt
  • Hany Dabbous Tropical Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
  • Essam Ali Hassan Tropical Medicine Department, Faculty of Medicine, Fayoum University, Fayoum, Egypt
  • Ahmed Abdelmoaty Tropical Medicine Department, Faculty of Medicine, Zagazig University, Sharqiyah, Egypt
  • Haidi Karam-Allah Tropical Medicine and Gastroenterology Department, Faculty of Medicine, Assiut University, Assiut, Egypt
  • Hamdy Sayed Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
  • Amr Abdalazeem Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
  • Ahmed Fouad Sherief Tropical Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
  • Eman Fares Tropical Medicine Department, Faculty of Medicine, Fayoum University, Fayoum, Egypt
  • Maha Alsadik Chest Diseases Department, Faculty of Medicine, Zagazig University, Sharqiyah, Egypt
  • Ehab Moustafa Tropical Medicine and Gastroenterology Department, Faculty of Medicine, Assiut University, Assiut, Egypt
  • Wagida Anwar Biomedical Research Department, Armed Forces College of Medicine (AFCM), Cairo, Egypt
  • Hossam Abdelghaffar Supreme Council of University Hospitals, Egypt
  • Khaled Abdelghaffar Ministry of Higher Education and Scientific Research, Egypt

DOI:

https://doi.org/10.3855/jidc.15984

Keywords:

COVID-19, COVEG, predictors, score, severity, mortality

Abstract

Introduction: COVID-19 severity and mortality predictors could determine admission criteria and reduce mortality. We aimed to evaluate the clinical-laboratory features of hospitalized patients with COVID-19 to develop a novel score of severity and mortality.

Methodology: This retrospective cohort study was conducted using data from patients with COVID-19 who were admitted to five Egyptian university hospitals. Demographics, comorbidities, clinical manifestations, laboratory parameters, the duration of hospitalization, and disease outcome were analyzed, and a score to predict severity and mortality was developed.

Results: A total of 1308 patients with COVID-19, with 996 (76.1%) being moderate and 312 (23.9%) being severe cases, were included. The mean age was 46.5 ± 17.1 years, and 61.6% were males. The overall mortality was 12.6%. Regression analysis determined significant predictors, and a ROC curve defined cut-off values. The COVEG severity score was defined by age ≥ 54, D-dimer ≥ 0.795, serum ferritin ≥ 406, C-reactive protein ≥ 30.1, and neutrophil: lymphocyte ratio ≥ 2.88. The COVEG mortality score was based on COVEG severity and the presence of cardiac diseases. Both COVEG scores had high predictive values (area under the curve 0.882 and 0.883, respectively).

Conclusions: COVEG score predicts the severity and mortality of patients with COVID-19 accurately.

Downloads

Published

2022-07-28

How to Cite

1.
El-Kassas M, El Gaafary M, Elbadry M, Medhat MA, Dabbous H, Hassan EA, Abdelmoaty A, Karam-Allah H, Sayed H, Abdalazeem A, Sherief AF, Fares E, Alsadik M, Moustafa E, Anwar W, Abdelghaffar H, Abdelghaffar K (2022) The COVEG score to predict severity and mortality among hospitalized patients with COVID-19. J Infect Dev Ctries 16:1138–1147. doi: 10.3855/jidc.15984

Issue

Vol. 16 No. 07: July 2022

Section

Coronavirus Pandemic

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Crossref
Scopus
Google Scholar
Europe PMC

Funding data