Abstract

Background

Remdesivir has been associated with accelerated recovery of severe coronavirus disease 2019 (COVID-19). However, whether it is also beneficial in patients requiring mechanical ventilation is uncertain.

Methods

All consecutive intensive care unit (ICU) patients requiring mechanical ventilation due to COVID-19 were enrolled. Univariate and multivariable Cox models were used to explore the possible association between in-hospital death or hospital discharge, considered competing-risk events, and baseline or treatment-related factors, including the use of remdesivir. The rate of extubation and the number of ventilator-free days were also calculated and compared between treatment groups.

Results

One hundred thirteen patients requiring mechanical ventilation were observed for a median of 31 days of follow-up; 32% died, 69% were extubated, and 66% were discharged alive from the hospital. Among 33 treated with remdesivir (RDV), lower mortality (15.2% vs 38.8%) and higher rates of extubation (88% vs 60%), ventilator-free days (median [interquartile range], 11 [0–16] vs 5 [0–14.5]), and hospital discharge (85% vs 59%) were observed. Using multivariable analysis, RDV was significantly associated with hospital discharge (hazard ratio [HR], 2.25; 95% CI, 1.27–3.97; P = .005) and with a nonsignificantly lower mortality (HR, 0.73; 95% CI, 0.26–2.1; P = .560). RDV was also independently associated with extubation (HR, 2.10; 95% CI, 1.19–3.73; P = .011), which was considered a competing risk to death in the ICU in an additional survival model.

Conclusions

In our cohort of mechanically ventilated patients, RDV was not associated with a significant reduction of mortality, but it was consistently associated with shorter duration of mechanical ventilation and higher probability of hospital discharge, independent of other risk factors.

Details

Title
Remdesivir Use in Patients Requiring Mechanical Ventilation due to COVID-19
Author
Lapadula, Giuseppe 1   VIAFID ORCID Logo  ; Bernasconi, Davide Paolo 2 ; Bellani, Giacomo 3 ; Soria, Alessandro 1 ; Rona, Roberto 4 ; Bombino, Michela 4 ; Avalli, Leonello 4 ; Rondelli, Egle 4 ; Cortinovis, Barbara 4 ; Colombo, Enrico 4 ; Valsecchi, Maria Grazia 2 ; Guglielmo Marco Migliorino 1 ; Bonfanti, Paolo 5 ; Foti, Giuseppe 3 ; Gambaro, Alessandra; Spolti, Anna; Beretta, Ilaria; Bisi, Luca; Cappelletti, Anna; Chiesa, Elisabetta; Cogliandro, Viola; Columpsi, Paola; Foresti, Sergio; Gustinetti, Giulia; Iannuzzi, Francesca; Pollastri, Ester; Rossi, Marianna; Sabbatini, Francesca; Squillace, Nicola; Ferlicca, Daniela; Mauri, Fabrizia; Giani, Marco; Pozzi, Matteo; Russotto, Vincenzo

 Infectious Diseases Unit, San Gerardo Hospital, Monza, Italy 
 Bicocca Bioinformatics Biostatistics and Bioimaging Centre–B4, School of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy 
 Department of Emergency Medicine, San Gerardo Hospital, Monza, Italy; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy 
 Department of Emergency Medicine, San Gerardo Hospital, Monza, Italy 
 Infectious Diseases Unit, San Gerardo Hospital, Monza, Italy; Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy 
Publication year
2020
Publication date
Nov 2020
Publisher
Oxford University Press
e-ISSN
23288957
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3170967054
Copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.