Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients
Gaber, S., ELkhateeb, A., Magdy, A., Botros, J., Bassyouni, R. (2022). Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients. EKB Journal Management System, 31(1), 89-95. doi: 10.21608/ejmm.2022.211990
Sylvana Nady Gaber; Ahmed F. ELkhateeb; Ahmed M. Magdy; Joseph M. Botros; Rasha H. Bassyouni. "Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients". EKB Journal Management System, 31, 1, 2022, 89-95. doi: 10.21608/ejmm.2022.211990
Gaber, S., ELkhateeb, A., Magdy, A., Botros, J., Bassyouni, R. (2022). 'Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients', EKB Journal Management System, 31(1), pp. 89-95. doi: 10.21608/ejmm.2022.211990
Gaber, S., ELkhateeb, A., Magdy, A., Botros, J., Bassyouni, R. Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients. EKB Journal Management System, 2022; 31(1): 89-95. doi: 10.21608/ejmm.2022.211990

Parameters linked with Mortality in Egyptian COVID-19 Hospitalized Patients

Egyptian Journal of Medical Microbiology
Article 13, Volume 31, Issue 1, January 2022, Page 89-95  XML PDF (476.96 K)
Document Type: New and original researches in the field of Microbiology.
DOI: 10.21608/ejmm.2022.211990
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Authors
Sylvana Nady Gaber email 1; Ahmed F. ELkhateeb2; Ahmed M. Magdy3; Joseph M. Botros4; Rasha H. Bassyouniorcid 5
1Faculty of Medicine, Fayoum University, Fayoum, Egypt.
2Critical care department, Faculty of Medicine, Fayoum University Fayoum, Egypt
3Radiology department, Faculty of Medicine, Fayoum University Fayoum, Egypt
4Department of Anaesthesia, Pain Management, and Intensive Care, Faculty of Medicine, Fayoum University, Fayoum, Egypt
5Medical Microbiology and Immunology department, Faculty of Medicine, Fayoum University Fayoum, Egypt
Abstract
Background: The early prediction of COVID-19 mortality is a key in the patient's treatment. Objectives: To assess the parameters that are associated with mortality in COVID-19 patients. Methods: COVID-19 was diagnosed by reverse transcriptase–polymerase chain reaction (RT-PCR) for SARS-CoV-2, from oropharyngeal swabs. Demographic findings, clinical, laboratory, and radiological data were recorded and analyzed. Classification of cases to mild, moderate, or severe was performed according to The World Health Organization Guidelines. Results: Our study involved 66 COVID-19 patients, 48 (72.7%) were classified as severe and 18 (27.3%) as moderate. Male gender represented 60.1% of patients, and 54.5% had one or more medical comorbidities. The outcome of 20 (30%) patients was death. Computerized Tomography Severity Score (CT-SS) (r=0.533, p=0.002), age (r=0.300, p=0.016), comorbidity with a cerebrovascular disease (r=0.479, p=0.013)or cancer (r=0.276, p=0.027). Also, oxygen saturation (r=0.490, p=0.000), and Lactate dehydrogenase (LDH) plasma levels (r=0.525, p=0.006)showed correlations with mortality. Conclusion: Old age, CT Severity Score, elevated LDH, cardiovascular diseases, and cancer were linked with mortality that can aid expecting COVID-19 disease outcome.
Keywords
COVID-19; CT severity score; mortality
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