Artificial intelligence-based analysis of body composition predicts outcome in patients receiving long-term mechanical circulatory support.

ABSTRACT:

Background

Obesity is a known cardiovascular risk factor and associated with higher postoperative complication rates in patients undergoing cardiac surgery. In heart failure (HF), conflicting evidence in terms of survival has been reported, whereas sarcopenia is associated with poor prognosis. An increasing number of HF patients require left ventricular assist device (LVAD) implantations. The postoperative mortality has improved in recent years but is still relatively high. The impact of body composition on outcome in this population remains unclear. The aim of this investigation was to examine the preoperative computed tomography (CT) body composition as a predictor of the postoperative outcome in advanced HF patients, who receive LVAD implantations.

Methods

Preoperative CT

SUBMITTER: Just IA 

PROVIDER: S-EPMC10834347 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature