Title :

National early warning score to predict intensive care unit transfer and mortality in COVID-19 in a French cohort

Author(s) :

Pokeerbux, M. R. [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Yelnik, C. M. [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Faure, Emmanuel [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Drumez, Elodie [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Bruandet, Amelie [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Labreuche, Julien [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Assaf, A. [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Goffard, Anne [Auteur]
Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017
Garabedian, Charles [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Poissy, Julien [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Desbordes, J. [Auteur]
Garrigue, D. [Auteur]
Scherpereel, A. [Auteur]
Faure, Karine [Auteur]
Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017
Lambert, Marc [Auteur]
Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
Covid-Team, L. [Auteur]

Journal title :

The International journal of clinical practice

Abbreviated title :

Int J Clin Pract

Volume number :

75

Pages :

e14121

Publication date :

2021-06

ISSN :

1742-1241

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Background No risk stratification tool has been validated in hospitalised patients with coronavirus disease 2019 (COVID-19), despite a high rate of intensive care requirement and in-hospital mortality. We aimed to ...
Show more >Background No risk stratification tool has been validated in hospitalised patients with coronavirus disease 2019 (COVID-19), despite a high rate of intensive care requirement and in-hospital mortality. We aimed to determine whether the National Early Warning Score (NEWS) at admission can accurately predict in-hospital mortality and ICU transfer. Methods This was a retrospective cohort study from January 24 to April 16, 2020, at Lille University Hospital. All consecutive adult patients with laboratory-confirmed COVID-19 who were initially admitted to non-ICU wards were included. The primary outcome was a composite criterion consisting of ICU transfer or in-hospital mortality. We evaluated the prognostic performance of NEWS by calculating the area under (AUC) the receiver operating characteristic curve, the optimal threshold value of NEWS, and its association with the primary outcome. Results Of the 202 COVID-19 patients, the median age was 65 (interquartile range 52-78), 38.6% were women and 136 had at least one comorbidity. The median NEWS was 4 (2-6). A total of 65 patients were transferred to the ICU or died in the hospital. Compared with patients with favourable outcome, these patients were significantly older, had more comorbidities and higher NEWS. The AUC for NEWS was 0.68 (0.60-0.77) and the best cutoff value was 6. Adjusted odds ratio for NEWS ≥ 6 as an independent predictor was 3.78 (1.94-7.09). Conclusions In hospitalised COVID-19 patients, NEWS was an independent predictor of ICU transfer and in-hospital death. In daily practice, NEWS ≥ 6 at admission may help to identify patients who are at risk to deteriorate.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

• Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017
• 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 :

2023-11-15T07:09:49Z
2023-12-04T10:45:35Z
2024-02-27T14:17:49Z
2024-03-27T07:51:03Z