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International Journal of Medical Biochemistry ; 5(1):44-48, 2022.
Article in English | Scopus | ID: covidwho-2145522


Objectives: Early prediction of risk factors for serious illness and death in patients with coronavirus disease 2019 (COVID-19) appears to be a priority. This study aimed to examine whether a single estimated glomerular filtration rate (eGFR) at triage predicts the need for intensive care unit (ICU) admission of patients with COVID-19. Methods: This retrospective study included data from patients with COVID-19 at the Bursa Yuksek Ihtisas Training and Research Hospital until October 2020. Patients were assigned to two groups according to their eGFR level at admission: group 1 (eGFR >60 mL/min/1.73 m2) and group 2 (eGFR=30-60 mL/min/1.73 m2). Results: The results of 1447 consecutive patients diagnosed with COVID-19 were analyzed at hospital admissions. Of these, 1001 patients who met the study criteria were included in the study. The median age of group 2 was higher than group 1: 69 interquartile range (IQR 23) years versus 39 (IQR 23) years (p<0.01). Patients with an eGFR <60 mL/min/1.73 m2 had lower lymphocyte counts while having higher C-reactive protein, d-dimer, lactate dehydrogenase, and fibrino-gen levels. The ICU admissions were significantly higher in patients with a baseline eGFR <60 mL/min/1.73 m2 (42.85%) compared with an eGFR >60 mL/min/1.73 m2 (6.42%, p<0.001). There was a weak negative correlation between eGFR and ICU admission (rho=-0.291, p<0.001). Conclusion: The eGFR at admission was strongly correlated with the severity of the disease. Therefore, measuring eGFR in all patients at admission may warrant appropriate triage. © 2022, Kare Publishing. All rights reserved.

Iranian Red Crescent Medical Journal ; 23(10), 2021.
Article in English | CAB Abstracts | ID: covidwho-1629984


Background: The struggle of humanity with Coronavirus disease 2019 (COVID-19) infection, which affected the whole world and caused severe social and health crises, continues without deceleration. Objectives: This study aimed to determine the relationship between the abnormal laboratory parameters upon admission and the intensity of lung involvement using chest computerized tomography severity score (CT-SS).