Evidence map›Paper›PMID 40549223›Full record

ArticleAnnals of intensive care2025

Prognosis of Nonagenarian ICU Patients A Bayesian analysis of prospective European studies.

Daniel Dankl, Raphael Romano Bruno, Michael Beil, Hans Flaatten, Malte Kelm, Sviri Sigal, Wojciech Szczeklik, Muhammed Elhadi, Michael Joannidis, Andreas Koköfer and 11 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
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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

21 authors.

Daniel DanklClinic of Anaesthesiology, Perioperative Medicine and Intensive Care Medicine, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria. d.dankl@aon.at.ORCID http://orcid.org/0000-0001-5996-1752
Raphael Romano BrunoMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Michael BeilDepartment of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hadassah Medical Center, 91120, Jerusalem, Israel.
Hans FlaattenDepartment of Clinical Medicine, University of Bergen, Department of Anaestesia and Intensive Care, University of Bergen, 5021, Bergen, Norway.
Malte KelmMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Sviri SigalMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Wojciech SzczeklikCenter for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, 31-008, Krakow, Poland.
Muhammed ElhadiFaculty of Medicine, University of Tripoli, R6XF+46G, Tripoli, Libya.
Michael JoannidisDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, 6020, Innsbruck, Austria.
Andreas KoköferClinic of Anaesthesiology, Perioperative Medicine and Intensive Care Medicine, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria.
Barbara SchreiberClinic of Anaesthesiology, Perioperative Medicine and Intensive Care Medicine, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria.
Franz SinghartingerDepartment of General, Visceral and Thoracic Surgery, Paracelsus Medical University of Salzburg, Salzburg, Austria.
Sandra OeyenDepartment of Intensive Care 1K12IC, Ghent University Hospital, 9000, Ghent, Belgium.
Brian MarshMater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland.
Rui MorenoFaculdade de Ciências Médicas de Lisboa, Nova Medical School, Centro Hospitalar de Lisboa Central, Lisbon, Portugal.
Susannah LeaverGeneral Intensive Care, St. George's University Hospital NHS Foundation Trust, London, SW17 0QT, UK.
Dylan W De LangeDepartment of Intensive Care Medicine, University Medical Center, University Utrecht, 3584 CX, Utrecht, Utrecht, The Netherlands.
Bertrand GuidetInserm, Service de Réanimation, Sorbonne Université, Hôpital Saint-Antoine, Institut Pierre-Louis d'épidémiologie Et de Santé Publique, AP-HP, 184, Rue du Faubourg-Saint-Antoine, 75012, Paris, France.
Ariane BoumendilAP-HP, Hôpital Saint-Antoine, Service de Réanimation, 75012, Paris, France.
Christian JungMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Bernhard WernlyInstitute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the population ages, the number of very elderly patients (≥ 90 years, nonagenarians) admitted to intensive care units (ICUs) is increasing. This trend raises concerns about the appropriateness of ICU care for this age group, especially due to the uncertainty surrounding their prognosis. Some studies suggest that elderly ICU patients have outcomes similar to slightly younger patients, but skepticism remains due to clinical judgment, cultural attitudes, and resource allocation concerns.

methodsWe reassessed the 30-day mortality risk of nonagenarians admitted to ICUs using data from the VIP1, VIP2, and COVIP registries. Bayesian statistical methods, including Markov Chain Monte Carlo (MCMC) simulations, were used to estimate the relative risk (RR) of mortality for nonagenarians compared to octogenarians (80-89 years). Various prior assumptions (non-informative, pessimistic, and skeptical) were incorporated. The analysis adjusted for key variables such as SOFA score, frailty, and treatment limitations.

resultsA total of 8,408 patients were included, consisting of 807 nonagenarians and 7,601 octogenarians. The 30-day mortality rate was 45% for nonagenarians and 42% for octogenarians (p = 0.12). Bayesian analysis revealed a high probability (81.1-97.9%) that nonagenarians face a higher 30-day mortality risk. However, the probability of a clinically significantly increase in mortality (RR > 1.1) was moderate (28.9-34.7%), and the probability of a substantial increase (RR > 1.2) was very low (0.03-1.9%).

conclusionNonagenarians in the ICU have a slightly higher 30-day mortality risk compared to octogenarians, but the increase is unlikely to exceed clinically meaningful thresholds. Bayesian methods offer more refined mortality risk assessment, suggesting that ICU admission decisions should be based on individualized factors, not just age.

Identifiers

PMID40549223
PMCPMC12185795

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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.