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Estimated glomerular filtration rate in identifying illness severity in newly admitted patients with COVID-19: A single-center study
International Journal of Medical Biochemistry ; 5(1):44-48, 2022.
Article in English | Scopus | ID: covidwho-2145522
ABSTRACT

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.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: International Journal of Medical Biochemistry Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: International Journal of Medical Biochemistry Year: 2022 Document Type: Article