Evidence map›Paper›PMID 41265924›Full record

Observational studyOpen heart2025

Comparative analysis of clinical scores in predicting ICU and hospital mortality in nonagenarians and centenarians after in-hospital cardiac arrest: a retrospective observational study using the Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (2010-2024).

Je Min Suh, Laurence Weinberg, Jiaying Ye, Benjamin Cailes, Claudia Brick, Anoop N Koshy, Julian Yeoh, Matias Yudi, David Pilcher, Dong-Kyu Lee

Abstract readObservational StudyComparative StudyMulticenter Study
In one paragraph

Observational study in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Je Min SuhDepartment of Anaesthesia, Austin Health, Heidelberg, Victoria, Australia.ORCID http://orcid.org/0009-0006-0083-8905
Laurence WeinbergDepartment of Anaesthesia, Austin Health, Heidelberg, Victoria, Australia laurence.weinberg@austin.org.au.
Jiaying YeDepartment of Anaesthesia, Austin Health, Heidelberg, Victoria, Australia.
Benjamin CailesDepartment of Cardiology, Austin Health, Heidelberg, Victoria, Australia.
Claudia BrickDepartment of Cardiology, Austin Health, Heidelberg, Victoria, Australia.
Anoop N KoshyDepartment of Cardiology, Austin Health, Heidelberg, Victoria, Australia.
Julian YeohDepartment of Cardiology, Austin Health, Heidelberg, Victoria, Australia.
Matias YudiDepartment of Cardiology, Austin Health, Heidelberg, Victoria, Australia.
David PilcherDepartment of Intensive Care, Alfred Hospital, Melbourne, Victoria, Australia.
Dong-Kyu LeeDepartment of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang-si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonagenarians and centenarians admitted to intensive care units (ICUs) following in-hospital cardiac arrest (IHCA) represent a growing yet understudied population. Clinicians require accurate prognostic tools to inform early goals of care discussions and resource allocation. This study evaluated the predictive performance of commonly used clinical scores in this unique cohort.

methodsWe conducted a retrospective binational cohort study of nonagenarian and centenarian patients admitted to ICUs in Australia and New Zealand between 2010 and 2024 after IHCA, using data from the ANZICS Adult Patient Database. We assessed the prognostic accuracy of four clinical scores: Acute Physiology and Chronic Health Evaluation III (APACHE III), Sequential Organ Failure Assessment (SOFA), Clinical Frailty Scale (CFS) and Glasgow Coma Scale, in predicting ICU and hospital mortality. Discrimination was measured using area under the receiver operating characteristic curve (AUROC). Multivariable Cox regression and Fine-Gray competing risk models were used to examine associations with mortality and discharge outcomes.

resultsA total of 219 patients (median age 91.6 years; 44% female) were included. ICU and hospital mortality were 45.2% and 55.7%, respectively. The APACHE III score showed the highest discriminatory ability (ICU mortality AUROC=0.850; hospital mortality AUROC=0.842), followed by the SOFA score (AUROCs=0.758 and 0.761, respectively). The CFS showed poor prognostic performance (AUROCs close to 0.5). In adjusted Cox models, both APACHE III and SOFA scores were independently associated with mortality. SOFA scores were associated with longer ICU length of stay, while higher APACHE III scores were associated with shorter hospital stay, likely reflecting early mortality.

conclusionsIn the oldest critically ill patients following IHCA, physiologic severity scores, particularly APACHE III and SOFA, outperform frailty in predicting short-term mortality and resource use. These findings support the integration of validated scoring systems into early clinical decision-making to improve care precision and guide resource allocation in ageing ICU populations.

Indexed as

Heart ArrestIntensive Care UnitsAged, 80 and overAustraliaDatabases, FactualFemaleHospital MortalityHumansMaleNew ZealandPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsCardiac RehabilitationDeath, Sudden, CardiacEducation, MedicalEpidemiology

Identifiers

PMID41265924
PMCPMC12636980

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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.