Evidence map›Paper›PMID 42094246›Full record

ArticleAnnals of intensive care2026

Transitions and determinants of ICU-acquired frailty after critical illness: A multicenter cohort study using a multistate Markov model.

Tingting Wu, Yueqing Wei, Lan Shi, Rongjin Lin, Hong Li

Abstract 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. Not yet cited in PubMed.

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

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

5 authors.

Tingting WuDepartment of Nursing, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Yueqing WeiRespiratory Intensive Care Unit, Jinshan Campus of Fuzhou University Affiliated Provincial Hospital, Fuzhou 350008, China.
Lan ShiDepartment of Intensive Care Medicine, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Rongjin LinDepartment of Nursing, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Hong LiSchool of Nursing, Fujian Medical University, Fuzhou 350122, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preexisting frailty at ICU admission has been well investigated and linked to adverse outcomes, the continuum and determinants of new onset of frailty remain poorly characterized. This study aimed to estimate transition probabilities and intensities across non-frailty, frailty, and death after critical illness, and explore a set of potential variables associated with these transitions. Methods: We conducted a multicenter prospective cohort study of ICU survivors, followed from ICU discharge to 6 months. Frailty was assessed with the Clinical Frailty Scale (CFS), with scores ≥5 defined as frail and <4 as non-frail. Multistate Markov models were used to estimate transition probabilities and intensities among three states: frailty, non-frailty, and death. Univariate and multivariable Markov models were used to identify predictors of state transitions. Results: At follow-up, 66.1% of frail patients reversed to non-frail, 25.7% remained frail, and 8.2% died. Among those non-frails at baseline, 72.9% remained stable, 21.2% developed frailty, and 5.9% died. Recovery from frailty occurred more than three times as often as progression from non-frailty to frailty (transition intensity ratio, 3.12; 95% CI, 2.22-4.38). The transition from frailty to death was over twice as frequent as from non-frailty to death (ratio, 2.52; 95% CI, 0.39-16.37). Sepsis-related complications significantly increased the risk of frailty onset and mortality, whereas higher body mass index, muscle mass, handgrip strength, and phase angle consistently promoted recovery and survival. Older age, female sex, comorbidities, malnutrition, and prolonged ICU or hospital stay impaired recovery. Conclusions: Frailty after critical illness is a dynamic and potentially reversible condition, with transitions shaped by sepsis-related complications, nutritional and muscular status, and patient vulnerability factors. Early post-ICU frailty assessment and targeted interventions addressing infection, nutrition, and physical function may facilitate recovery and improve survival in ICU survivors.

Indexed as

Critical illnessFrailtyMultistate Markov modelRisk factor

Identifiers

PMID42094246
PMCPMC13142025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.