Evidence map›Paper›PMID 38592412›Full record

ArticleAnnals of intensive care2024

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study.

Morgan Benaïs, Matthieu Duprey, Laura Federici, Michel Arnaout, Pierre Mora, Marc Amouretti, Irma Bourgeon-Ghittori, Stéphane Gaudry, Pierre Garçon, Danielle Reuter and 7 more

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

17 authors at 6 institutions in 1 country.

Morgan BenaïsService de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France.
Matthieu DupreyService de Réanimation, Grand Hôpital de l'Est Francilien-Site de Marne-la-Vallée, Jossigny, France.
Laura FedericiService de Réanimation Polyvalente, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.
Michel ArnaoutService de Médecine Intensive - Réanimation, AP-HP, Hôpital Ambroise Paré, Boulogne, France.
Pierre MoraService de Médecine Intensive - Réanimation, AP-HP, Hôpital Lariboisière, Paris, France.
Marc AmourettiService de Réanimation Polyvalente, Groupe Hospitalier Nord-Essonne, Longjumeau, France.
Irma Bourgeon-GhittoriService de Médecine Intensive - Réanimation, AP-HP, Hôpital Henri Mondor, Créteil, France.
Stéphane GaudryDMU ESPRIT, Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Louis Mourier, Colombes, France.
Pierre GarçonService de Réanimation, Grand Hôpital de l'Est Francilien-Site de Marne-la-Vallée, Jossigny, France.
Danielle ReuterService de Réanimation Polyvalente, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.
Guillaume GeriService de Médecine Intensive - Réanimation, AP-HP, Hôpital Ambroise Paré, Boulogne, France.
Bruno MegarbaneService de Médecine Intensive - Réanimation, AP-HP, Hôpital Lariboisière, Paris, France.
Jordane LebutService de Réanimation Polyvalente, Groupe Hospitalier Nord-Essonne, Longjumeau, France.
Armand Mekontso-DessapService de Médecine Intensive - Réanimation, AP-HP, Hôpital Henri Mondor, Créteil, France.
Jean-Damien RicardDMU ESPRIT, Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Louis Mourier, Colombes, France.
Daniel da SilvaService de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France.
Etienne de MontmollinService de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France. etienne.demontmollin@aphp.fr.ORCID http://orcid.org/0000-0001-6379-1928
Assistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Saint-Denis · FRCentre Hospitalier Sud Francilien · FRHôpital Louis-Mourier · FRInserm · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies.

methodsProspective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models.

resultsA total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96).

conclusionsIn a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Indexed as

Critical illnessIntensive care unitsSocial deprivationSocioeconomic factorSocioeconomic status

Identifiers

PMID38592412
PMCPMC11004098
OpenAlexW4394605581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.