Evidence map›Paper›PMID 34410543›Full record

ArticleAnnals of intensive care2021

Case fatality inequalities of critically ill COVID-19 patients according to patient-, hospital- and region-related factors: a French nationwide study.

Antoine Guillon, Emeline Laurent, Antoine Duclos, Lucile Godillon, Pierre-François Dequin, Nelly Agrinier, Antoine Kimmoun, Leslie Grammatico-Guillon

Abstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
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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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Antoine GuillonIntensive Care Unit, Tours University Hospital, Research Center for Respiratory Diseases, INSERM U1100, University of Tours, Tours, France.ORCID http://orcid.org/0000-0002-4884-8620
Emeline LaurentEpidemiology Unit EpiDcliC, Service of Public Health, Tours University Hospital, 2 Bd Tonnellé, 37044, Tours Cedex 9, France.
Antoine DuclosResearch on Healthcare Performance Lab (RESHAPE) INSERM U1290, University of Claude Bernard Lyon 1, Lyon, France.
Lucile GodillonEpidemiology Unit EpiDcliC, Service of Public Health, Tours University Hospital, 2 Bd Tonnellé, 37044, Tours Cedex 9, France.
Pierre-François DequinIntensive Care Unit, Tours University Hospital, Research Center for Respiratory Diseases, INSERM U1100, University of Tours, Tours, France.
Nelly AgrinierCHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, 54000, Nancy, France.
Antoine KimmounTeaching Hospital of Nancy, Intensive Care Unit, University of Lorraine, Nancy, France.
Leslie Grammatico-GuillonEpidemiology Unit EpiDcliC, Service of Public Health, Tours University Hospital, 2 Bd Tonnellé, 37044, Tours Cedex 9, France. leslie.guillon@univ-tours.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 sanitary crisis inflicted different challenges regarding the reorganization of the human and logistic resources, particularly in intensive care unit (ICU). Interdependence between regional pandemic burden and individual outcome remains unknown. The study aimed to assess the association between ICU bed occupancy and case fatality rate of critically ill COVID-19 patients.

methodsA cross-sectional study was performed in France, using the national hospital discharge database from March to May, 2020. All patients admitted to ICU for COVID-19 were included. Case fatality was described according to: (i) patient's characteristics (age, sex, comorbid conditions, ICU interventions); (ii) hospital's characteristics (baseline ICU experience assessed by the number of ICU stays in 2019, number of ICU physicians per bed), and (iii) the regional outbreak-related profiles (workload indicator based on ICU bed occupancy). The determinants of lethal outcome were identified using a logistic regression model.

results14,513 COVID-19 patients were admitted to ICU; 4256 died (29.3%), with important regional inequalities in case fatality (from 17.6 to 33.5%). Older age, multimorbidity and clinical severity were associated with higher mortality, as well as a lower baseline ICU experience of the health structure. Regions with more than 10 days with ≥ 75% of ICU occupancy by COVID-19 patients experienced an excess of mortality (up to adjusted OR = 2.2 [1.9-2.6] for region with the highest occupancy rate of ICU beds).

conclusionsThe regions with the highest burden of care in ICU were associated with up to 2.2-fold increase of death rate.

Indexed as

COVID-19Determinant of lethal outcomesICU

Identifiers

PMID34410543
PMCPMC8375279

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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.