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

Ann Clin Lab Sci. 2020 Nov;50(6):848-851.

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.

MeSH terms

  • Biomarkers / analysis*
  • COVID-19 / diagnosis
  • COVID-19 / mortality*
  • COVID-19 / virology
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Retrospective Studies
  • SARS-CoV-2 / isolation & purification*
  • Severity of Illness Index*

Substances

  • Biomarkers