Evidence map›Paper›PMID 42500453›Full record

ArticleAnnals of intensive care2026

Pre-ICU hospital length of stay and 30-day mortality in the very old: a national cohort of 315 042 ICU admissions.

Björn Ahlström, Miklos Lipcsey

Registry-linked trialAbstract read
In one paragraph

Article in Annals of intensive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07571213 (Pre-ICU Hospital Length of Stay and 30-day Mortality in the Very Old), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07571213 completednot on this map

Pre-ICU Hospital Length of Stay and 30-day Mortality in the Very Old: a National Cohort of 315 042 ICU Admissions

TypeobservationalSponsorUppsala UniversityRan2019 to 2019Enrolled315,042ConditionsIntensive Care (ICU), Age Over 80 Years, Hospital Length of Stay, MortalityArmsTime in hospital before ICU admission.
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Björn AhlströmAnesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Miklos LipcseyAnesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The number of very old (≥80 years) patients (VIPs) admitted to intensive care units (ICUs) is rising. Hospital length of stay before ICU admission (pre-ICU LOS) is associated with short-term mortality, but whether this association is uniform across adult age is unclear. We examined how age modifies the association between pre-ICU LOS and 30-day mortality. Methods: We included all adult first ICU admissions in the Swedish Intensive Care Registry 2005-2016, with comorbidity and vital status from national registers. We fit a logistic regression on 30-day mortality with restricted cubic splines for age, pre-ICU LOS, and Charlson comorbidity index, with interactions. Marginal predicted risks and within- and between-age risk differences (RDs) were from the model. Two sensitivity analyses included Simplified Acute Physiology Score (SAPS3) functional form of pre-ICU LOS and age, and adjustment for acute physiology at admission (SAPS3 Box III) with multiple imputation. Results: Among 315 042 patients, 30-day mortality rose with pre-ICU LOS in every age decile, but the magnitude of this gradient varied with age. In VIPs, the within-age RD from day 0 to day 60 was 12.8 percentage points (95% CI 10.0-15.6) against a day-0 baseline of 34.6 %, compared with 17.5 (16.0-18.9) in 60-69-year-olds. Findings were consistent across sensitivity analyses. Conclusions: Pre-ICU hospital length of stay is a weaker prognostic marker in VIPs than in the majority of ICU patients, although the extent to which this reflects biology versus age-dependent ICU triage remains unresolved.ClinicalTrials.gov identifier NCT07571213 (retrospectively registered).

Indexed as

AgeIntensive careMortalityRisk factorsTime in hospital

Identifiers

PMID42500453
PMCPMC13396954

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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.