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Dr. Rehab Elsayed Mohamed Mohamed Elsawy :: Publications:

Title:
Prevalence and Associated Risk Factors of Mortality among COVID-19 Patients
Authors: Ali A. Okab a, Osama I. Mohammad a, Basma M. HanyBasma M. HanyBasma M. Hany Basma M. HanyBasma M. Hany Basma M. Hany Basma M. HanyBasma M. Hany b, Doaa S. Afifi a, Rehab E. Rehab E. Rehab E. Rehab E. Rehab E. Rehab E. Rehab E. Elsawy
Year: 2023
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: Local
Paper Link: Not Available
Full paper Rehab Elsayed Mohamed Mohamed Elsawy_BMFJ_Volume 40_Issue 3_Pages 806-816.pdf
Supplementary materials Not Available
Abstract:

Background: COVID-19 pandemic has had a significant impact on global health, with a high mortality rate among infected individuals. Methods: This retrospective study included 400 patients- who were PCR positive for COVID-19- admitted at hospital either ward or ICU and it was conducted at Benha University hospital isolation department, in the period between April 2021to April 2022. Results: 20% (80 patients) died while 80% (320 patients) survived. The patients who died were significantly older and had higher rates of comorbidities such as hypertension, diabetes mellitus, cardiovascular disease, chronic kidney disease, liver disease, and cancer. All patients -who died- were admitted to the ICU, compared to 12.5% of the survived patients. Significant differences were observed in laboratory findings, including; lymphocyte count, TLC, D-dimer, serum ferritin, urea, creatinine levels, ALT, AST levels, and SPO2. CT chest findings also showed differences in CORAD distribution between the groups. Multivariable analysis identified older age, diabetes mellitus, chronic kidney disease, higher serum ferritin level, and elevated serum urea level- as independent predictors of death. Various factors, such as; age, lymphocyte count, TLC, serum ferritin level, D-dimer, serum creatinine, urea, ALT, AST levels, and SPO2- had predictive value for mortality. These findings provide valuable insights into the prevalence and risk factors associated with mortality among COVID19 patients, aiding in better patient management and outcomes.

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