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Predictive Value of MR-proADM in the Risk Stratification and in the Adequate Care Setting of COVID-19 Patients Assessed at the Triage of the Emergency Department

Authors :
Marilena Minieri
Vito N. Di Lecce
Maria Stella Lia
Massimo Maurici
Francesca Leonardis
Susanna Longo
Luca Colangeli
Carla Paganelli
Stefania Levantesi
Alessandro Terrinoni
Vincenzo Malagnino
Domenico J. Brunetti
Alfredo Giovannelli
Massimo Pieri
Marco Ciotti
Cartesio D’Agostini
Mariachiara Gabriele
Sergio Bernardini
Jacopo M. Legramante
Source :
Diagnostics, Vol 12, Iss 8, p 1971 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

In the past two pandemic years, Emergency Departments (ED) have been overrun with COVID-19-suspicious patients. Some data on the role played by laboratory biomarkers in the early risk stratification of COVID-19 patients have been recently published. The aim of this study is to assess the potential role of the new biomarker mid-regional proadrenomedullin (MR-proADM) in stratifying the in-hospital mortality risk of COVID-19 patients at the triage. A further goal of the present study is to evaluate whether MR-proADM together with other biochemical markers could play a key role in assessing the correct care level of these patients. Data from 321 consecutive patients admitted to the triage of the ED with a COVID-19 infection were analyzed. Epidemiological; demographic; clinical; laboratory; and outcome data were assessed. All the biomarkers analyzed showed an important role in predicting mortality. In particular, an increase of MR-proADM level at ED admission was independently associated with a threefold higher risk of IMV. MR-proADM showed greater ROC curves and AUC when compared to other laboratory biomarkers for the primary endpoint such as in-hospital mortality, except for CRP. This study shows that MR-proADM seems to be particularly effective for early predicting mortality and the need of ventilation in COVID-19 patients admitted to the ED.

Details

Language :
English
ISSN :
20754418
Volume :
12
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.885a509b814f3d9266bf51b3ef5b05
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics12081971