Evidence map›Paper›PMID 33650136›Full record

ArticleInternational journal of clinical practice2021

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

Mohammad Ryadh Pokeerbux, Cécile M Yelnik, Emmanuel Faure, Elodie Drumez, Amélie Bruandet, Julien Labreuche, Ady Assaf, Anne Goffard, Charles Garabedian, Julien Poissy and 6 more

Abstract read
In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Mohammad Ryadh PokeerbuxInternal Medicine Department, Univ. Lille, INSERM U1167, CHU Lille, Lille, France.ORCID https://orcid.org/0000-0002-2227-8017
Cécile M YelnikInternal Medicine Department, Univ. Lille, INSERM U1167, CHU Lille, Lille, France.
Emmanuel FaureInfectious Disease Department, Univ. Lille, INSERM U1019, CHU Lille, CNRS UMR9017, Lille, France.
Elodie DrumezDepartment of Biostatistics, Univ. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, CHU Lille, Lille, France.
Amélie BruandetMedical Information Department, CHU Lille, Lille, France.
Julien LabreucheDepartment of Biostatistics, Univ. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, CHU Lille, Lille, France.
Ady AssafInfectious Disease Department, Univ. Lille, INSERM U1019, CHU Lille, CNRS UMR9017, Lille, France.
Anne GoffardVirology Department, Univ. Lille, INSERM U1019, CHU Lille, CNRS UMR 9017, Lille, France.
Charles GarabedianDepartment of Obstetrics, Univ. Lille, ULR 2694 METRICS, CHU Lille, Lille, France.
Julien PoissyUniv. Lille, INSERM U1285, CHU Lille, Intensive Care Unit, CNRS, UMR 8576, UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Jacques DesbordesCardiothoracic Anaesthesiology Department, CHU Lille, Lille, France.
Delphine GarrigueEmergency Department, Univ. Lille, CHU Lille, Lille, France.
Arnaud ScherpereelDepartment of Pulmonary and Thoracic Oncology, Univ. Lille, CHU Lille, Lille, France.
Karine FaureInfectious Disease Department, Univ. Lille, INSERM U1019, CHU Lille, CNRS UMR9017, Lille, France.
Marc LambertInternal Medicine Department, Univ. Lille, INSERM U1167, CHU Lille, Lille, France.
Lille Covid-team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo 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.

methodsThis 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.

resultsOf 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).

conclusionsIn 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.

Indexed as

COVID-19Early Warning ScoreAdultAgedCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsMaleRetrospective StudiesRisk AssessmentSARS-CoV-2

Identifiers

PMID33650136
PMCPMC7995084

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.