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. 2020 Nov;50(6):848-851.

Communication: The Follow-Up of Biomarkers Better Predicts the Poor Outcome in COVID-19 Patients

Affiliations
  • PMID: 33334804

Communication: The Follow-Up of Biomarkers Better Predicts the Poor Outcome in COVID-19 Patients

Ozen K Basoglu et al. Ann Clin Lab Sci. 2020 Nov.

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.

Keywords: COVID-19; biomarkers; clinical outcome; prognosis; viral pneumonia.

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