Artificial intelligence-based assessment of central aortic haemodynamics using non-invasive pulse wave analysis in constrictive pericarditis.

ABSTRACT:

Background

Constrictive pericarditis (CP) is a rare but significant pericardial disease resulting in impaired ventricular filling and heart failure symptoms, often following cardiac surgery. Its clinical presentation complicates diagnosis, mimicking other causes of heart failure. Recent technological advances, including artificial intelligence (AI)-based non-invasive pulse wave analysis (AI-PWA), have the potential for improved haemodynamic assessment and clinical decision-making.

Objectives

This study evaluates the clinical utility of AI-PWA in assessing central aortic blood pressure (CABP), arterial stiffness and cardiac function in CP.

Methods

This prospective case-control study enrolled 12 adult CP patients and 12 age- and sex-matched healthy controls. CABP and pe

SUBMITTER: Suleiman MN 

PROVIDER: S-EPMC12766839 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature