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The Follow-Up of Biomarkers Better Predicts the Poor Outcome in COVID-19 Patients
Annals of Clinical and Laboratory Science ; 50(6):848-851, 2020.
Article in English | Web of Science | ID: covidwho-1001036
ABSTRACT
Objective. To investigate the course of biomarkers on admission and follow-up in order to identify early predictors for poor outcome in COVID-19 patients. Methods. In this study, 132 COVID-19 patients were classified as good outcome (n=62) and poor outcome (n=70) groups. Laboratory parameters were evaluated on admission and within 5-7 days after hospitalization. Results. Baseline levels of neutrophil-lymphocyte ratio, CRP, procalcitonin, ferritin, D-dimer and LDH were higher (p<0.01);lymphocyte count was lower in the poor outcome patients. During follow-up there was a larger decrease in lymphocyte count and more prominent increases in other biomarkers (p<0.001). In ROC analysis, the AUCs strongly indicated the poor outcome on days 5-7 of the hospitalization. Conclusions. This study suggests that the follow-up measurements of the biomarkers better predict the poor outcome in COVID-19 pneumonia.
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Collection: Databases of international organizations Database: Web of Science Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Annals of Clinical and Laboratory Science Year: 2020 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Type of study: Cohort study / Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Annals of Clinical and Laboratory Science Year: 2020 Document Type: Article