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Could Some Laboratory Parameters Predict Mortality in COVID-19? by Nilhan Nurlu, Onur O. Ozturk, Abdulkadir Cat, Elif S. Altunok, Alper Gumus

Background: The number of confirmed cases of COVID-19 continues to increase worldwide and threatens public health. Our aim in this study is to examine the relationship between some laboratory parameters and hematological ratios with the severity of the disease and hospital mortality.
Methods: This study was designed as a retrospective cohort. The clinical data of 743 COVID-19 diagnosed patients who were eligible for hospitalization between March 16, and May 15, 2020 analyzed, retrospectively. The patients were separated into two groups as discharged from hospital (n = 681) and dead in hospital (n = 62). ROC curves and cutoff values of NLR (Neutrophil/Lymphocyte Ratio), PLR (Platelet/Lymphocyte Ratio), MLR (Monocyte/ Lymphocyte Ratio), CRP, and ferritin upon admission to hospital were calculated for the two groups. Binary Logistic Regression used to determine independent risk factors for mortality.
Results: The difference between both groups for age, duration in hospital, WBC, neutrophil, lymphocyte, NLR, PLR, MLR, CRP, and ferritin values were statistically significant. NLR had the highest area under the curve with a cutoff of 5.5 in the ROC curve [(AUC: 0.892, 95% CI: 0.844 - 0.939); Sensitivity = 85%, Specificity = 84%]. NLR, MLR, PLR, CRP and Ferritin groups have significant effects on the survival times of the Covid-19 patients. According to logistic regression analysis, increments of NLR (OR = 18.1, 95% CI: 6.4 - 51.4), CRP (OR = 5.5, 95% CI: 2.5 - 12.2), and age (OR = 2.7 95% CI: 1.3 - 5.5) values proportionally increase the death probability.
Conclusions: NLR, CRP, and age are independent risk factors for mortality from COVID-19. We believe that evaluating these parameters together during diagnosis will be important in predicting the prognosis of the disease and in treatment approaches.

DOI: 10.7754/Clin.Lab.2021.201231