ArticleCommunications medicine2026
Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.
Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate health assessments in the Emergency Department are critical for guiding treatment decisions. However, these assessments are often heavily influenced by chronological age, which does not reflect the variability in physiological health among patients, particularly older adults. Biological age estimation based on biomarkers may better indicate a patient's true health status. However, its use in acute care Emergency Department settings is not established. This study introduces the concepts and corresponding estimates of Acute Biological Age and Acute Difference in Age in the Emergency Department setting and assesses their association with in-hospital care needs following acute conditions.
methodsUsing data from a prospective study of 6071 Emergency Department patients aged over 18, Acute Biological Age was calculated by converting 30-day mortality risk estimates from a machine-learning model incorporating fifteen biomarkers into biological age expressed in years. Acute Difference in Age was derived from the difference between Acute Biological Age and chronological age. Logistic regressions were used to analyze associations between these estimates and twenty predefined events requiring in-hospital care, with a detailed analysis conducted on nine specific events.
resultsHere, we show that Acute Biological Age and Acute Difference in Age are significantly associated with hospitalization risk. Each additional year of Acute Biological Age increases the odds of requiring intravenous treatments, in-hospital care, extended stays, and admission to intensive care, with odds ratios ranging from 1.03 to 1.05.
conclusionsAcute Biological Age and Acute Difference in Age are promising metrics to identify high-risk Emergency Department patients and may improve resource allocation in acute care settings.
Identifiers
What OpenQuestion holds
Registered trials
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.