Prognostic value of CT body composition analysis for 1-year mortality after transcatheter aortic valve replacement

Sarah Soh1, Young Joo Suh2, Suji Lee2

  • 1Anesthesia and Pain Research Institute, Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.

European Radiology
|July 18, 2024
PubMed

Insights

Body composition indices from pre-procedural CT scans, specifically sarcopenia and adipopenia at the T12 level, can predict 1-year mortality in patients undergoing transcatheter aortic valve replacement (TAVR). These findings aid in risk stratification for improved patient outcomes.

Area of Science:

  • Cardiology
  • Radiology
  • Gerontology

Background:

  • Transcatheter aortic valve replacement (TAVR) is a crucial procedure for aortic stenosis.
  • Predicting long-term outcomes post-TAVR is essential for patient management.
  • Body composition analysis using computed tomography (CT) offers insights into patient health.

Purpose of the Study:

  • To evaluate the predictive value of body composition indices from pre-procedural CT scans for 1-year mortality in TAVR patients.
  • To identify specific body composition metrics that correlate with mortality risk.

Main Methods:

  • A cohort of 408 patients undergoing TAVR was analyzed.
  • Skeletal muscle and subcutaneous fat areas were measured at T4, T12, and L3 levels on pre-procedural CT scans.
  • Cox proportional hazard regression was used to assess the association between body composition and 1-year mortality.

Main Results:

  • 1-year mortality was significantly higher in patients with sarcopenia and/or adipopenia.
  • Patients with both sarcopenia and adipopenia had a 26% mortality rate.
  • Body composition at the T12 level, including sarcopenia and adipopenia, was an independent predictor of 1-year mortality (HR: 4.09).

Conclusions:

  • Sarcopenia and adipopenia, assessed via CT at the T12 level, are valuable for stratifying 1-year all-cause mortality risk in TAVR patients.
  • Pre-procedural CT-based body composition analysis can guide clinical decision-making and patient counseling.
Abstract

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