Evidence map›Paper›PMID 39132877›Full record

ArticleESC heart failure2024

Risk factors for raised left ventricular filling pressure by cardiovascular magnetic resonance: Prognostic insights.

Ross J Thomson, Ciaran Grafton-Clarke, Gareth Matthews, Peter P Swoboda, Andrew J Swift, Alejandro Frangi, Steffen E Petersen, Nay Aung, Pankaj Garg

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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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

9 authors.

Ross J ThomsonWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK.
Ciaran Grafton-ClarkeNorwich Medical School, University of East Anglia, Norwich, UK.
Gareth MatthewsNorwich Medical School, University of East Anglia, Norwich, UK.
Peter P SwobodaThe Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Andrew J SwiftDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Alejandro FrangiSchool of Computing, University of Leeds, Leeds, UK.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK.
Nay AungWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK.
Pankaj GargBarts Heart Centre, St Bartholomew's Hospital, Barts NHS Trust, West Smithfield, London, UK.ORCID 0000-0002-5483-169X

Funding

National Institute for Health Research NIHR-RP-R3-12-027NIHR Academic Clinical FellowshipsWellcome TrustWellcome Trust 215799/Z/19/ZWellcome Trust 220703/Z/20/Z
6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance (CMR) imaging shows promise in estimating pulmonary capillary wedge pressure (PCWP) non-invasively. At the population level, the prognostic role of CMR-modelled PCWP remains unknown. Furthermore, the relationship between CMR-modelled PCWP and established risk factors for cardiovascular disease has not been well characterized.

objectiveThe main aim of this study was to investigate the prognostic value of CMR-modelled PCWP at the population level.

methodsEmploying data from the imaging substudy of the UK Biobank, a very large prospective population-based cohort study, CMR-modelled PCWP was calculated using a model incorporating left atrial volume, left ventricular mass and sex. Logistic regression explored the relationships between typical cardiovascular risk factors and raised CMR-modelled PCWP (≥15 mmHg). Cox regression was used to examine the impact of typical risk factors and CMR-modelled PCWP on heart failure (HF) and major adverse cardiovascular events (MACE).

resultsData from 39 163 participants were included in the study. Median age of all participants was 64 years (inter-quartile range: 58 to 70), and 47% were males. Clinical characteristics independently associated with raised CMR-modelled PCWP included hypertension [odds ratio (OR) 1.57, 95% confidence interval (CI) 1.44-1.70, P < 0.001], body mass index (BMI) [OR 1.57, 95% CI 1.52-1.62, per standard deviation (SD) increment, P < 0.001], male sex (OR 1.37, 95% CI 1.26-1.47, P < 0.001), age (OR 1.33, 95% CI 1.27-1.41, per decade increment, P < 0.001) and regular alcohol consumption (OR 1.10, 95% CI 1.02-1.19, P = 0.012). After adjusting for potential confounders, CMR-modelled PCWP was independently associated with incident HF [hazard ratio (HR) 2.91, 95% CI 2.07-4.07, P < 0.001] and MACE (HR 1.48, 95% CI 1.16-1.89, P = 0.002).

conclusionsRaised CMR-modelled PCWP is an independent risk factor for incident HF and MACE. CMR-modelled PCWP should be incorporated into routine CMR reports to guide HF diagnosis and further management.

Indexed as

Magnetic Resonance Imaging, CineAgedFemaleFollow-Up StudiesHeart FailureHeart VentriclesHumansMaleMiddle AgedPrognosisProspective StudiesPulmonary Wedge PressureRisk FactorsStroke VolumeUnited KingdomVentricular Function, Leftcardiovascular magnetic resonanceheart failure epidemiologyleft ventricular filling pressureMRI

Identifiers

PMID39132877
PMCPMC11631267

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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.