Title :

Relationship between SARS-CoV-2 infection and the incidence of ventilator-associated lower respiratory tract infections: a European multicenter cohort study

Author(s) :

Rouze, Anahita [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Martin-Loeches, I. [Auteur]
Povoa, P. [Auteur]
Makris, D. [Auteur]
Artigas, A. [Auteur]
Bouchereau, Mathilde [Auteur]
Lambiotte, F. [Auteur]
Metzelard, M. [Auteur]
Cuchet, P. [Auteur]
Boulle Geronimi, C. [Auteur]
Labruyere, M. [Auteur]
Tamion, F. [Auteur]
Nyunga, M. [Auteur]
Luyt, C. E. [Auteur]
Labreuche, Julien [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Pouly, O. [Auteur]
Bardin, J. [Auteur]
Saade, A. [Auteur]
Asfar, P. [Auteur]
Baudel, J. L. [Auteur]
Beurton, A. [Auteur]
Garot, D. [Auteur]
Ioannidou, I. [Auteur]
Kreitmann, L. [Auteur]
Llitjos, J. F. [Auteur]
Magira, E. [Auteur]
Mégarbane, B. [Auteur]
Meguerditchian, D. [Auteur]
Moglia, E. [Auteur]
Mekontso-Dessap, A. [Auteur]
Reignier, J. [Auteur]
Turpin, M. [Auteur]
Pierre, Alexandre [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Plantefeve, G. [Auteur]
Vinsonneau, C. [Auteur]
Floch, P. E. [Auteur]
Weiss, N. [Auteur]
Ceccato, A. [Auteur]
Torres, A. [Auteur]
Duhamel, Alain [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Nseir, Saad [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576

Journal title :

Intensive Care Medicine

Abbreviated title :

Intensive Care Med

Volume number :

47

Pages :

p. 188–198

Publication date :

2021-01-01

ISSN :

1432-1238

English keyword(s) :

SARS-CoV-2
COVID-19
Ventilator-associated pneumonia
Ventilator-associated tracheobronchitis
Critical illness

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Purpose Although patients with SARS-CoV-2 infection have several risk factors for ventilator-associated lower respiratory tract infections (VA-LRTI), the reported incidence of hospital-acquired infections is low. We ...
Show more >Purpose Although patients with SARS-CoV-2 infection have several risk factors for ventilator-associated lower respiratory tract infections (VA-LRTI), the reported incidence of hospital-acquired infections is low. We aimed to determine the relationship between SARS-CoV-2 pneumonia, as compared to influenza pneumonia or no viral infection, and the incidence of VA-LRTI. Methods Multicenter retrospective European cohort performed in 36 ICUs. All adult patients receiving invasive mechanical ventilation > 48 h were eligible if they had: SARS-CoV-2 pneumonia, influenza pneumonia, or no viral infection at ICU admission. VA-LRTI, including ventilator-associated tracheobronchitis (VAT) and ventilator-associated pneumonia (VAP), were diagnosed using clinical, radiological and quantitative microbiological criteria. All VA-LRTI were prospectively identified, and chest-X rays were analyzed by at least two physicians. Cumulative incidence of first episodes of VA-LRTI was estimated using the Kalbfleisch and Prentice method, and compared using Fine-and Gray models. Results 1576 patients were included (568 in SARS-CoV-2, 482 in influenza, and 526 in no viral infection groups). VA-LRTI incidence was significantly higher in SARS-CoV-2 patients (287, 50.5%), as compared to influenza patients (146, 30.3%, adjusted sub hazard ratio (sHR) 1.60 (95% confidence interval (CI) 1.26 to 2.04)) or patients with no viral infection (133, 25.3%, adjusted sHR 1.7 (95% CI 1.2 to 2.39)). Gram-negative bacilli were responsible for a large proportion (82% to 89.7%) of VA-LRTI, mainly Pseudomonas aeruginosa, Enterobacter spp., and Klebsiella spp. Conclusions The incidence of VA-LRTI is significantly higher in patients with SARS-CoV-2 infection, as compared to patients with influenza pneumonia, or no viral infection after statistical adjustment, but residual confounding may still play a role in the effect estimates.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

• Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
• Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576

Submission date :

2023-11-15T07:26:39Z
2024-03-26T14:14:10Z