Evidence map›Paper›PMID 41913115›Full record

Observational studyBMC geriatrics2026

Impact of treatment goals on outcomes in critically ill nonagenarians: a retrospective observational study.

Nattaya Raykateeraroj, Nuanprae Kitisin, Dong Kyu Lee, Je Min Suh, Jake Hinton, Boris Waldman, David Pilcher, Rinaldo Bellomo, Laurence Weinberg

Abstract readObservational Study
In one paragraph

Observational study in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Nattaya RaykateerarojDepartment of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nuanprae KitisinDepartment of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Dong Kyu LeeDepartment of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Ilsandong-gu, Goyang-si, Republic of Korea.
Je Min SuhDepartment of Anesthesia, Austin Hospital, Heidelberg, VIC, Australia.
Jake HintonDepartment of Anesthesia, Austin Hospital, Heidelberg, VIC, Australia.
Boris WaldmanDepartment of Anesthesia, Austin Hospital, Heidelberg, VIC, Australia.
David PilcherDepartment of Intensive Care, Alfred Health, Melbourne, VIC, Australia.
Rinaldo BellomoDepartment of Intensive Care, Austin Hospital, Heidelberg, VIC, Australia.
Laurence WeinbergDepartment of Anesthesia, Austin Hospital, Heidelberg, VIC, Australia. laurence.weinberg@austin.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing number of critically ill nonagenarians admitted to intensive care units (ICUs) poses challenges in treatment decision-making. This study examines the short-term impact of treatment goals on ICU and hospital mortality and length of stay (LOS), incorporating APACHE III-J scores for risk adjustment.

methodsThis retrospective cohort study included adults aged ≥ 90 years admitted to ICUs in Australia and New Zealand from 2010 to 2023, using data from the ANZICS Adult Patient Database. Patients were categorized by initial goal: full (n = 24,694) vs. limited (n = 10,690). Propensity score matching balanced baseline characteristics, resulting in 10,671 matched pairs. Mortality was analyzed using flexible parametric survival models. ICU and hospital LOS were assessed using log-transformed linear regression models. Competing risks regression was applied to adjust for early mortality bias. APACHE III-J scores were included as a key predictor.

resultsLimited treatment was associated with mortality risk that was highest early after admission and declined over time but remained consistently higher than with full treatment. ICU LOS (β = 0.966, 95% CI 0.943–0.990, p = 0.006) and hospital LOS (β = 0.944, 95% CI 0.919–0.969, p < 0.001) were significantly shorter in this group, primarily due to early death. Competing risks analysis confirmed a higher cumulative incidence of ICU mortality (sHR 1.717, 95% CI 1.555–1.900, p < 0.001) and hospital mortality (sHR 1.643, 95% CI 1.541–1.752, p < 0.001). APACHE III-J was an independent predictor of mortality.

conclusionsLimited treatment in critically ill nonagenarians was associated with higher ICU and hospital mortality. The excess risk of ICU mortality was greatest early after ICU admission and gradually attenuated over time, although it remained elevated throughout the ICU stay. These findings support early risk stratification and periodic reassessment of treatment goals as clinical conditions evolve.

Indexed as

Critical IllnessHospital MortalityIntensive Care UnitsPatient Care PlanningAged, 80 and overAustraliaCohort StudiesFemaleHumansLength of StayMaleNew ZealandRetrospective StudiesTreatment OutcomeAgingCritical illnessGeriatricsIntensive Care UnitNonagenarians

Identifiers

PMID41913115
PMCPMC13154688

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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.