A biological profile for diagnosis and outcome of COVID-19 patients

Author:

Khourssaji Mehdi1,Chapelle Virginie2,Evenepoel Anton2,Belkhir Leila3,Yombi Jean Cyr3,van Dievoet Marie-Astrid2,Saussoy Pascale2,Coche Emmanuel4,Fillée Catherine1,Constantinescu Stefan N.5,Rodriguez-Villalobos Hector6,Defour Jean-Philippe2,Gruson Damien17

Affiliation:

1. Department of Clinical Biochemistry , Cliniques Universitaires St-Luc and Université Catholique de Louvain , Brussels , Belgium

2. Department of Hematology , Cliniques Universitaires St-Luc and Université Catholique de Louvain , Brussels , Belgium

3. Department of Infectious Diseases , Cliniques Universitaires St-Luc and Université catholique de Louvain , Brussels , Belgium

4. Department of Radiology , Cliniques Universitaires St-Luc and Université catholique de Louvain , Brussels , Belgium

5. Signal Transduction Pole, SIGN , de Duve Institute , Brussels , Belgium

6. Department of Microbiology , Cliniques Universitaires St-Luc and Université Catholique de Louvain , Brussels , Belgium

7. Pôle de recherche en Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Cliniques Universitaires St-Luc and Université catholique de Louvain , Brussels , Belgium

Abstract

Abstract Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker’s kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry, medical,Clinical Biochemistry,General Medicine

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