AI-Enhanced CV MRI Predicts Heart Failure Risk, Study Finds Fivefold Increased Risk with High Heart Pressure

To fill this knowledge gap, the researchers aimed to investigate the prognostic value of CMR-modelled PCWP at the population level.

For this purpose, data from the imaging substudy of the UK Biobank—a substantial prospective population-based cohort study—were utilized. CMR-modelled PCWP was calculated using a model that includes left atrial volume, left ventricular mass, and sex.

Logistic regression was employed to investigate the relationships between conventional cardiovascular risk factors and elevated CMR-modelled PCWP (≥15 mmHg). Additionally, Cox regression was used to assess the effects of standard risk factors and CMR-modelled PCWP on heart failure and major adverse cardiovascular events (MACE).

The following were the key findings of the study:

• Data from 39,163 participants were included in the study. The median age of all participants was 64 years, and 47% were males.
• Clinical characteristics independently associated with raised CMR-modelled PCWP included hypertension [odds ratio (OR) 1.57], body mass index (BMI) [OR 1.57], male sex (OR 1.37), age (OR 1.33) and regular alcohol consumption (OR 1.10).
• After adjusting for potential confounders, CMR-modelled PCWP was independently associated with incident HF [hazard ratio (HR) 2.91] and MACE (HR 1.48).

"The findings showed that elevated CMR-modelled PCWP is an independent predictor of incident heart failure and MACE. It is recommended to include CMR-modelled PCWP in routine CMR reports to aid in HF diagnosis and management," the researchers concluded.

Reference:

Thomson, R. J., Grafton-Clarke, C., Matthews, G., Swoboda, P. P., Swift, A. J., Frangi, A., Petersen, S. E., Aung, N., & Garg, P. Risk factors for raised left ventricular filling pressure by cardiovascular magnetic resonance: Prognostic insights. ESC Heart Failure. https://doi.org/10.1002/ehf2.15011