Efficiencies of Laboratory Parameters in Covid-19 Patients Follow up
1Dr Lütfi Kırdar Kartal City Hospital, Biochemistry Laboratory, İstanbul, Turkey
2Dr Lütfi Kırdar Kartal City Hospital, Infectious Diseases and Clinical Microbiology, İstanbul, Turkey
3Dr Lütfi Kırdar City Hospital, Anesthesiology & Reanimation, İstanbul, Turkey
J Crit Intensive Care 2021; 12(3): 91-95 DOI: 10.37678/dcybd.2021.2771
Full Text PDF

Abstract

Introduction: Diagnostic efficiencies of laboratory parameters used in COVID-19 patients and their association with disease severity were evaluated.
Materials and Methods: Laboratory parameters of COVID-19 patients hospitalized in Dr. Lütfi Kırdar Kartal City Hospital between March and August 2020 were evaluated. The patients were grouped as non-severe and severe according to the interim guidance of the World Health Organization (WHO). The diagnostic performances of NLR, D-dimer, CRP, procalcitonin, IL-6, LDH, and ferritin in discrimination of severe cases were evaluated by Receiver operator’s characteristics (ROC) analysis. Generalized lineer model Analysis (GLM) was performed with mortality as a dependent variable and age, gender, NLR, D-dimer, CRP, Procalcitonin, IL-6, LDH, and ferritin as an independent variables.
Results: A total of 257 patients were evaluated and there was a significant difference between non-severe and severe cases in terms of NLR, D-dimer, CRP, Procalcitonin, IL-6, LDH, and Ferritin values. All the parameters showed comparable performances in discriminating severe disease; D-dimer with the least (AUC 73.5%), and NLR with the highest (AUC 80.7%) efficiency. Values above 4.5 for NLR, 930 ug/L for D-dimer, 64 mg/L for CRP, 0.136 ug/L for procalcitonin, 44.3 pg/mL for IL-6, 304 IU for LDH, and 312 ug/L for ferritin were associated with severe disease. Contribution of age, NLR, D-dimer, and CRP were found significant on the model.
Conclusions: NLR, D-dimer, CRP, procalcitonin, IL-6, LDH, and ferritin showed comparable performances in discriminating severe cases with predefined cut-offs. Age, NLR, D-dimer, and CRP may be considered as predictors of mortality in COVID-19 patients.