Your browser doesn't support javascript.
loading
Risk factors for raised left ventricular filling pressure by cardiovascular magnetic resonance: Prognostic insights.
Thomson, Ross J; Grafton-Clarke, Ciaran; Matthews, Gareth; Swoboda, Peter P; Swift, Andrew J; Frangi, Alejandro; Petersen, Steffen E; Aung, Nay; Garg, Pankaj.
Afiliación
  • Thomson RJ; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK.
  • Grafton-Clarke C; Barts Heart Centre, St Bartholomew's Hospital, Barts NHS Trust, West Smithfield, London, UK.
  • Matthews G; Norwich Medical School, University of East Anglia, Norwich, UK.
  • Swoboda PP; Norfolk and Norwich University Hospitals, Norwich, UK.
  • Swift AJ; Norwich Medical School, University of East Anglia, Norwich, UK.
  • Frangi A; Norfolk and Norwich University Hospitals, Norwich, UK.
  • Petersen SE; The Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Aung N; Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Garg P; School of Computing, University of Leeds, Leeds, UK.
ESC Heart Fail ; 2024 Aug 12.
Article en En | MEDLINE | ID: mdl-39132877
ABSTRACT

BACKGROUND:

Cardiovascular 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.

OBJECTIVE:

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

METHODS:

Employing 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).

RESULTS:

Data 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).

CONCLUSIONS:

Raised 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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ESC Heart Fail Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ESC Heart Fail Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido