Loading…

A COVID-19 specific multiparametric and ECG-based score for the prediction of in-hospital mortality: ELCOVID score

We aimed to develop and validate a COVID-19 specific scoring system, also including some ECG features, to predict all-cause in-hospital mortality at admission. Patients were retrieved from the ELCOVID study (ClinicalTrials.gov identifier: NCT04367129 ), a prospective, multicenter Italian study enrol...

Full description

Saved in:
Bibliographic Details
Published in:Internal and emergency medicine 2024-08, Vol.19 (5), p.1279-1290
Main Authors: Zuin, Marco, Ferrari, Roberto, Guardigli, Gabriele, Malagù, Michele, Vitali, Francesco, Zucchetti, Ottavio, D’Aniello, Emanuele, Di Ienno, Luca, Gibiino, Federico, Cimaglia, Paolo, Grosseto, Daniele, Corzani, Alessandro, Galvani, Marcello, Ortolani, Paolo, Rubboli, Andrea, Tortorici, Gianfranco, Casella, Gianni, Sassone, Biagio, Navazio, Alessandro, Rossi, Luca, Aschieri, Daniela, Mezzanotte, Roberto, Manfrini, Marco, Bertini, Matteo
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We aimed to develop and validate a COVID-19 specific scoring system, also including some ECG features, to predict all-cause in-hospital mortality at admission. Patients were retrieved from the ELCOVID study (ClinicalTrials.gov identifier: NCT04367129 ), a prospective, multicenter Italian study enrolling COVID-19 patients between May to September 2020. For the model validation, we randomly selected two-thirds of participants to create a derivation dataset and we used the remaining one-third of participants as the validation set. Over the study period, 1014 hospitalized COVID-19 patients (mean age 74 years, 61% males) met the inclusion criteria and were included in this analysis. During a median follow-up of 12 (IQR 7–22) days, 359 (35%) patients died. Age (HR 2.25 [95%CI 1.72–2.94], p  
ISSN:1828-0447
1970-9366
1970-9366
DOI:10.1007/s11739-024-03599-3