Evidence map›Paper›PMID 42109755›Full record

ArticleJournal of geriatric cardiology : JGC2026

Frailty as a predictor of delayed discharge and 12-month mortality following transcatheter aortic valve implantation.

Nirav Patel, Jacob Brubert, Marco Ballabio, Wen Hui Teh, Oluwamayowa Omoniyi, Luigia D'Errico, Nicholas Evans, Jayesh Singh, Michael O'Sullivan, Will Davies and 2 more

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Nirav Patel *School of Clinical Medicine, University of Cambridge, Cambridge UK.
Jacob Brubert *Department of Medicine, University of Cambridge, Cambridge, UK.
Marco BallabioDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Wen Hui TehDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Oluwamayowa OmoniyiDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Luigia D'ErricoDepartment of Radiology, Royal Papworth Hospital, Cambridge University Health Partners, Cambridge, UK.
Nicholas EvansDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jayesh SinghDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Michael O'SullivanDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Will DaviesDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Charis CostopoulosDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.
Pierluigi CostanzoDepartment of Interventional Cardiology, Royal Papworth Hospital Royal Papworth NHS Foundation Trust, Cambridge UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transcatheter aortic valve implantation (TAVI) is the principal treatment for aortic stenosis in older and high-risk patients. Whilst important in holistic decision making, frailty indices vary in ease of use, objectivity, and accuracy. We assess prognostic ability of the Clinical Frailty Scale (CFS) and Essential Frailty Toolset (EFT) in predicting delayed discharge and 1-year mortality following TAVI. Methods: Prospective, single centre, observational cohort study of patients undergoing TAVI at a tertiary centre in the UK from 2020-2022. Clinical characteristics, CFS, and EFT were collected pre-procedurally. Primary outcomes were length of hospital stay following TAVI and mortality at 1- year post-procedure. Generalized regression with elastic net is used to assess the additive discriminative ability of frailty scores to predict outcomes. Stepwise regression is used to identify informative outcome predictors. Results: One hundred and four patients were included with mean age 81.3 ± 5.9 years, 47% female. Median post-procedural stay length was 2 days (IQR 2.75). Use of EFT and CFS resulted in a statistically significant prediction of survival at 1 year post TAVI (EFT: ΔLogL of 2.68, ChiSq Conclusions: EFT informs decision making on survival 1-year post-TAVI, beyond conventional measures. Use of non-femoral access site and high CFS are the best predictors of delayed discharge. Surgical risk stratification scores poorly predict medium-term TAVI survival and delayed discharge.

Identifiers

PMID42109755
PMCPMC13156545

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