The association between sarcopenia and adverse outcomes after complex endovascular aortic repair

Britt W Warmerdam1, Carla S van Rijswijk2, Anneke Droop3

  • 1Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.

PubMed

Insights

Skeletal Muscle Index (SMI) best predicts mortality risk after complex endovascular aortic repair (EVAR). Combining sarcopenia assessment with physical performance identifies high-risk patients for complex EVAR.

Area of Science:

  • Vascular Surgery
  • Geriatrics
  • Radiology

Background:

  • Sarcopenia is a known predictor of poor outcomes following complex endovascular aortic repair (EVAR).
  • There is no consensus on the optimal method for assessing sarcopenia in this patient population.
  • This study evaluates three computed tomography (CT)-derived sarcopenia parameters.

Purpose of the Study:

  • To compare the association of three CT-assessed sarcopenia parameters with adverse outcomes after complex EVAR.
  • To determine which parameter, Psoas Muscle Index (PMI), Skeletal Muscle Index (SMI), or lean psoas muscle area (LPMA), is most predictive of mortality.
  • To investigate the impact of severe sarcopenia and combined physical performance on outcomes.

Main Methods:

  • Retrospective cohort study of 101 patients undergoing complex EVAR.
  • CT scans were used to measure PMI, SMI, and LPMA.
  • Parameters were analyzed as continuous variables and using established cut-off values for sarcopenia diagnosis.

Main Results:

  • Higher continuous PMI, SMI, and LPMA were associated with a reduced risk of all-cause mortality.
  • Sarcopenia diagnosis using PMI and LPMA cut-offs did not significantly predict survival.
  • Sarcopenia diagnosed by SMI showed a significant association with increased mortality risk.
  • Severe sarcopenia and sarcopenia combined with low physical performance further increased mortality risk.

Conclusions:

  • SMI demonstrated a stronger association with mortality than PMI and LPMA in complex EVAR patients.
  • Integrating physical performance measures with sarcopenia assessment can better identify high-risk individuals.
  • Further research is needed to establish complex EVAR-specific cut-off values for PMI and LPMA.
Abstract

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