PLoS ONE (Jan 2021)

Predictors of severity and development of critical illness of Egyptian COVID-19 patients: A multicenter study.

  • Dalia Omran,
  • Mohamed Al Soda,
  • Eshak Bahbah,
  • Gamal Esmat,
  • Hend Shousha,
  • Ahmed Elgebaly,
  • Muhammad Abdel Ghaffar,
  • Mohamed Alsheikh,
  • Enass El Sayed,
  • Shimaa Afify,
  • Samah Abdel Hafez,
  • Khaled Elkelany,
  • Ayman Eltayar,
  • Omnia Ali,
  • Lamiaa Kamal,
  • Ahmed Heiba

DOI
https://doi.org/10.1371/journal.pone.0256203
Journal volume & issue
Vol. 16, no. 9
p. e0256203

Abstract

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ObjectivesWe conducted the present multicenter, retrospective study to assess the epidemiological, clinical, laboratory, and radiological characteristics associated with critical illness among patients with COVID-19 from Egypt.MethodsThe present study was a multicenter, retrospective study that retrieved the data of all Egyptian cases with confirmed COVID-19 admitted to hospitals affiliated to the General Organization for Teaching Hospitals and Institutes (GOTHI) through the period from March to July 2020. The diagnosis of COVID-19 was based on a positive reverse transcription-polymerase chain reaction (RT-PCR) laboratory test.ResultsThis retrospective study included 2724 COVID-19 patients, of whom 423 (15.52%) were critically ill. Approximately 45.86% of the critical group aged above 60 years, compared to 39.59% in the non-critical group (p = 0.016). Multivariate analysis showed that many factors were predictors of critically illness, including age >60 years (OR = 1.30, 95% CI [1.05, 1.61], p = 0.014), low oxygen saturation (OR = 0.93, 95% CI [0.91, 0.95], pConclusionIn the present report, we demonstrated that many factors are associated with COVID-19 critical illness, including older age groups, fatigue, elevated temperature, increased pulse, lower oxygen saturation, the preexistence of diabetes, malignancies, cardiovascular disease, renal diseases, and pulmonary disease. Moreover, elevated serum levels of ALT, AST, and ferritin are associated with worse outcomes. Further studies are required to identify independent predictors of mortality for patients with COVID-19.