Evidence map›Paper›PMID 37635161›Full record

ArticleInternal and emergency medicine2023

Biological age is superior to chronological age in predicting hospital mortality of the critically ill.

Kwok M Ho, David J Morgan, Mason Johnstone, Cyrus Edibam

Open access · hybridAbstract read
In one paragraph

Article in Internal and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Editorial: The Quest for Biomarkers of Biological Age and Longevity Identifies Roles for Small Noncoding RNAs, Including PIWI-Interacting RNAs.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Association between the newly introduced Diet Index for Gut Microbiota (DI-GM) and stroke prevalence: potential indirect associations via phenotypic age and body mass index (BMI).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

4 authors at 2 institutions in 1 country.

Kwok M HoDepartment of Intensive Care Medicine, Fiona Stanley Hospital, Perth, WA, Robin Warren Drive, 6150, Australia. kwok.ho@health.wa.gov.au.ORCID 0000-0002-6705-6004
David J MorganDepartment of Intensive Care Medicine, Fiona Stanley Hospital, Perth, WA, Robin Warren Drive, 6150, Australia.
Mason JohnstoneDepartment of Intensive Care Medicine, Fiona Stanley Hospital, Perth, WA, Robin Warren Drive, 6150, Australia.
Cyrus EdibamDepartment of Intensive Care Medicine, Fiona Stanley Hospital, Perth, WA, Robin Warren Drive, 6150, Australia.
Fiona Stanley Hospital · AUMurdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological age is increasingly recognized as being more accurate than chronological age in determining chronic health outcomes. This study assessed whether biological age, assessed on intensive care unit (ICU) admission, can predict hospital mortality. This retrospective cohort study, conducted in a tertiary multidisciplinary ICU in Western Australia, used the Levine PhenoAge model to estimate each patient's biological age (also called PhenoAge). Each patient's PhenoAge was calibrated to generate a regression residual which was equivalent to biological age unexplained by chronological age in the local context. PhenoAgeAccel was a dichotomized measure of the residuals, and its presence suggested that one was biologically older than the corresponding chronological age. Of the 2950 critically ill adult patients analyzed, 291 died (9.9%) before hospital discharge. Both PhenoAge and its residuals (after regressing on chronological age) had a significantly better ability to differentiate between hospital survivors and non-survivors than chronological age (area under the receiver-operating-characteristic curve 0.648 and 0.654 vs. 0.547 respectively). Being phenotypically older than one's chronological age was associated with an increased risk of mortality (PhenoAgeAccel hazard ratio [HR] 1.997, 95% confidence interval [CI] 1.568-2.542; p = 0.001) in a dose-related fashion and did not reach a plateau until at least a 20-year gap. This adverse association remained significant (adjusted HR 1.386, 95% CI 1.077-1.784; p = 0.011) after adjusted for severity of acute illness and comorbidities. PhenoAgeAccel was more prevalent among those with pre-existing chronic cardiovascular disease, end-stage renal failure, cirrhosis, immune disease, diabetes mellitus, or those treated with immunosuppressive therapy. Being phenotypically older than one's chronological age was more common among those with comorbidities, and this was associated with an increased risk of mortality in a dose-related fashion in the critically ill that was not fully explained by comorbidities and severity of acute illness.

Indexed as

Critical IllnessIntensive Care UnitsAcute DiseaseAdultAgingHospital MortalityHumansPrognosisRetrospective StudiesChronological ageComorbidityOutcomePhenotypical agePrognosisSeverity of illness

Identifiers

PMID37635161
PMCPMC10543822
OpenAlexW4386202195

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.