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Record W7117121826 · doi:10.1177/14799731251408844

Clinical implications of frailty in hospitalized patients with pulmonary arterial hypertension

2025· article· en· W7117121826 on OpenAlexafffund
Ashira Lokhandwala, Aymen Al-Timimi, Tânia Maria Sarmento Silva, Sahar Nourouzpour, Haizhong Man, Marc de Perrot, Kirsten Wentlandt, L. Singer, John Granton, Dmitry Rozenberg

Bibliographic record

VenueChronic Respiratory Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversity of TorontoQueen's UniversityUniversity Health Network
FundersTemerty Faculty of Medicine, University of Toronto
KeywordsCohortUnivariate analysisHeart failureCohort studyDiseaseFrailty IndexLung diseaseMortality rate

Abstract

fetched live from OpenAlex

Objectives Frailty is associated with increased morbidity and mortality in chronic lung disease, but its prognosis has not been evaluated in pulmonary arterial hypertension (PAH). This study aimed to assess: (1) impact of frailty on hospital length of stay (LOS) and health-care utilization in PAH; (2) association of frailty with 1-year post-discharge outcomes. Methods Retrospective, single-centered cohort study of consecutive PAH patients admitted non-electively (January 2009-December 2018), predominantly for right heart failure (57%). Frailty was defined as ≥ 0.25 using a cumulative deficits frailty index. Disease characteristics, hospital factors, and mortality were compared using univariate analysis and multivariable regression, adjusting for age and sex. Results 44/96 (46%) PAH patients were frail. Frailty was associated with older age, greater comorbidities, and lower six-minute walk distance pre-admission ( p < 0.05). Frail patients had a longer hospital LOS (4 days 95% (0.4–6.3), p = 0.04) and were more likely to receive social work consultation (36% vs 13%, p = 0.01), independent of age and sex. There were no adjusted differences (frail vs non-frail) in hospital mortality (OR:1.01 95% (0.28–3.72) or 12-months mortality post-discharge (HR:1.26 95% (0.48–3.29). Conclusion Frailty was associated with greater hospital LOS and interdisciplinary support, but not 1-year mortality. Future studies should explore whether alternative frailty models may be more informative of longer-term PAH outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.343
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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