Evidence map›Paper›PMID 41547458›Full record

Observational studyJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Extracellular volume fraction associates with long-term outcome in patients with severe symptomatic aortic stenosis: 10-year outcomes of the Regression of Myocardial Fibrosis After Aortic Valve Replacement study.

Nikoo Aziminia, George D Thornton, Jonathan Bennett, Sucharitha Chadalavada, Rebecca Kozor, Rebecca Schofield, Kush P Patel, Iain Pierce, Peter Kellman, Rhodri Davies and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 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

16 authors.

Nikoo AziminiaInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
George D ThorntonInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Jonathan BennettInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Sucharitha ChadalavadaDepartment of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
Rebecca KozorUniversity of Sydney and Royal North Shore Hospital, Sydney, Australia.
Rebecca SchofieldNorth West Anglia NHS Foundation Trust, Peterborough, United Kingdom.
Kush P PatelDepartment of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
Iain PierceDepartment of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Peter KellmanNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Rhodri DaviesInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Sveeta BadianiDepartment of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Guy LloydInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
Mario Cortina BorjaPopulation, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Arantxa GonzálezDepartment of Cardiology and Cardiac Surgery, Clínica Universidad de Navarra and IdiSNA, Pamplona, Spain; Program of Cardiovascular Disease, CIMA Universidad de Navarra, Clínica Universidad de Navarra and IdiSNA, Pamplona, Spain; CIBERCV, Madrid, Spain.
James C MoonInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Thomas A TreibelInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom. Electronic address: Thomas.treibel.12@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffuse fibrosis is central to the pathophysiology of aortic stenosis (AS), can be assessed using cardiovascular magnetic resonance (CMR) with extracellular volume fraction (ECV%), and is associated with mortality. The relevance of this signal to long-term prognosis remains unclear. We aim to assess predictors of long-term mortality with focus on diffuse fibrosis.

methodsSingle-center prospective observational cohort study of patients with severe, symptomatic AS undergoing aortic valve replacement (AVR). Patients were assessed using echocardiography, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and CMR, including T1 mapping for ECV% quantification. All-cause mortality was identified using the NHS National Spine Database. Univariable and multivariable Cox regression models were fitted to assess all-cause mortality associations.

resultOne hundred and sixty-eight patients (age 72 [65-77] years, 55% [92/168] male) underwent CMR. Over a follow-up period of 9.7 (6.8-10.9) years, 76 deaths occurred. Patients who died had higher ECV% (29.9% vs 27.6%, p = 0.014) and greater late gadolinium enhancement (3.9% vs 2.0%, p = 0.013). Univariable predictors of mortality were age, atrial fibrillation (AF), left atrial area, left atrial volume, total cholesterol, triglycerides, HDL:LDL ratio, non-bicuspid aortic valve, hs-cTnT, NT-proBNP, EuroSCORE II and ECV%. On multivariable regression, age, AF and ECV% remained significant predictors of mortality, independently of sex. AIC indicated that the model with four covariates was preferable to the one also including EuroSCORE II and coronary artery disease, and this result was confirmed by a likelihood ratio test (p=0.387).

conclusionsIn the longest follow-up cohort of T1 mapping in severe AS, we demonstrate diffuse fibrosis remains an independent predictor of long-term mortality. Integration of ECV% in baseline risk stratification should be explored further in patients with AS undergoing AVR.

Indexed as

Aortic ValveAortic Valve StenosisHeart Valve Prosthesis ImplantationMagnetic Resonance Imaging, CineMyocardiumAgedBiomarkersDatabases, FactualFemaleFibrosisHumansKaplan-Meier EstimateMaleMultivariate AnalysisNatriuretic Peptide, BrainPeptide FragmentsBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin TAortic stenosisFibrosisLeft ventricular hypertrophy

Identifiers

PMID41547458
PMCPMC13187588

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.