Evidence map›Paper›PMID 31074809›Full record

Observational studyJAMA network open2019

Association of Age With Short-term and Long-term Mortality Among Patients Discharged From Intensive Care Units in France.

Alice Atramont, Valérie Lindecker-Cournil, Jérémie Rudant, Ayden Tajahmady, Nicolas Drewniak, Annie Fouard, Mervyn Singer, Marc Leone, Matthieu Legrand

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–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

54 citing papers in PubMed.

  1. Article
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  9. Observational
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  13. Healthcare-AssociatedMicroorganisms · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alice AtramontCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Valérie Lindecker-CournilCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Jérémie RudantCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Ayden TajahmadyCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Nicolas DrewniakCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Annie FouardCaisse Nationale d'Assurance Maladie (CNAM), Paris, France.
Mervyn SingerBloomsbury Institute for Intensive Care Medicine, Division of Medicine, University College London, London, United Kingdom.
Marc LeoneAix Marseille Université, Assistance Publique Hôpitaux de Marseille, Service d'Anesthésie et de Réanimation, Hôpital Nord, Marseille, France.
Matthieu LegrandComité Réanimation de la Société Française d'Anesthésie et de Réanimation (SFAR), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: An aging population is increasing the need for intensive care unit (ICU) beds. The benefit of ICU admission for elderly patients remains a subject of debate; however, long-term outcomes across all adult age strata are unknown. Objective: To describe short-term and long-term mortality (up to 3 years after discharge) across age strata in adult patients admitted to French ICUs. Design, Setting, and Participants: Using data extracted from the French national health system database, this cohort study determined in-hospital mortality and mortality at 3 months and 3 years after discharge of adult patients (older than 18 years) admitted to French ICUs from January 1 to December 31, 2013, focusing on age strata. The dates of analysis were November 2017 to December 2018. Exposure: Intensive care unit admission. Main Outcomes and Measures: In-hospital mortality and mortality at 3 months and 3 years after hospital discharge. Results: The study included 133 966 patients (median age, 65 years [interquartile range, 53-76 years); 59.9% male). Total in-hospital mortality was 19.0%, and 3-year mortality was 39.7%. For the 108 539 patients discharged alive from the hospital, 6.8% died by 3 months, and 25.8% died by 3 years after hospital discharge. After adjustment for sex, comorbidities, reason for hospitalization, and organ support (invasive ventilation, noninvasive ventilation, vasopressors, inotropes, fluid resuscitation, blood products administration, cardiopulmonary resuscitation, renal replacement therapy, and mechanical circulatory support), risk of mortality increased progressively across all age strata but with a sharp increase in those 80 years and older. In-hospital and 3-year postdischarge mortality rates, respectively, were 30.5% and 44.9% in patients 80 years and older compared with 16.5% and 22.5% in those younger than 80 years. Total 3-year mortality was 61.4% among patients 80 years and older vs 35.1% in those younger than 80. After age and sex standardization, excess mortality was highest among young patients during their first year after hospital discharge and persisted into the second and third years. In contrast, the mortality risk was close to the general population risk among elderly patients (≥80 years). Age and reason for hospitalization were strongly associated with long-term mortality (9-, 13-, and 20-fold increase in the risk of death 3 years after ICU discharge in patients aged 80-84, 85-89, and ≥90 years, respectively, compared with patients aged <35 years), while organ support use during ICU showed a weaker association (all organ support had 1.3-fold or lower increase in the risk of death). Conclusions and Relevance: Results of this study suggest that aging was associated with an increased risk of mortality in the 3 years after hospital discharge that included an ICU admission, with a sharp increase in those 80 years and older. However, compared with the general population matched by age and sex, excess long-term mortality was high in young surviving patients but not in elderly patients.

Indexed as

Hospital MortalityMortalityAdultAgedAged, 80 and overAge FactorsAgingCross-Sectional StudiesDatabases, FactualFemaleFranceHumansIntensive Care UnitsMaleMiddle AgedPatient Discharge

Identifiers

PMID31074809
PMCPMC6512465

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Registered trials

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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.