Common hematological values predict unfavorable outcomes in hospitalized COVID-19 patients

Copyright © 2021 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 225(2021) vom: 01. Apr., Seite 108682
1. Verfasser: Núñez, Isaac (VerfasserIn)
Weitere Verfasser: Priego-Ranero, Ángel A, García-González, H Benjamín, Jiménez-Franco, Brenda, Bonilla-Hernández, Rebeca, Domínguez-Cherit, Guillermo, Merayo-Chalico, Javier, Crispín, José C, Barrera-Vargas, Ana, Valdés-Ferrer, Sergio Iván
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't COVID-19 Complete blood cell (CBC) count Critical illness Mortality predictors SARS-CoV-2 Biomarkers
Beschreibung
Zusammenfassung:Copyright © 2021 Elsevier Inc. All rights reserved.
COVID-19 can range from asymptomatic to life-threatening. Early identification of patients who will develop severe disease is crucial. A number of scores and indexes have been developed to predict severity. However, most rely on measurements not readily available. We evaluated hematological and biochemical markers taken on admission and determined how predictive they were of development of critical illness or death. We observed that higher values of readily available tests, including neutrophil:lymphocyte ratio; derived neutrophil index; and troponin I were associated with a higher risk of death or critical care admission (P < 0.001). We show that common hematological tests can be helpful in determining early in the course of illness which patients are likely to develop severe forms, as well as allocating resources to those patients early, while avoiding overuse of limited resources in patients with reduced risk of progression to severe disease
Beschreibung:Date Completed 22.03.2021
Date Revised 21.12.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-7035
DOI:10.1016/j.clim.2021.108682