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

  • 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
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.

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Published
2022-07-28
How to Cite
1.
El-KassasM, El GaafaryM, Elbadry M, Medhat MA, Dabbous H, Hassan EA, Abdelmoaty A, Karam-AllahH, 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
Section
Coronavirus Pandemic

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