The association between sarcopenia and adverse outcomes after complex endovascular aortic repair.
Journal
The Journal of cardiovascular surgery
ISSN: 1827-191X
Titre abrégé: J Cardiovasc Surg (Torino)
Pays: Italy
ID NLM: 0066127
Informations de publication
Date de publication:
21 Nov 2023
21 Nov 2023
Historique:
medline:
21
11
2023
pubmed:
21
11
2023
entrez:
21
11
2023
Statut:
aheadofprint
Résumé
Sarcopenia is identified as a predictive factor for adverse outcomes after complex endovascular aortic repair (complex EVAR). Consensus on preferred parameters for sarcopenia is not yet reached. The current study compares three CT-assessed parameters on their association with adverse outcomes after complex EVAR. This was a single-center retrospective cohort study. Psoas Muscle Index (PMI), Skeletal Muscle Index (SMI), and lean psoas muscle area (LPMA) were examined by CT-segmentation. PMI, SMI, and LPMA were analyzed as continuous variables. In addition, cut-off values from previous research were used to diagnose patients as sarcopenic or non-sarcopenic. Outcomes were: all-cause mortality, major adverse events (MAE), length of hospital stay, and non-home discharge. A sub-analysis was made for severe sarcopenia; sarcopenia combined with low physical performance (gait speed, Time Up and Go test, Metabolic Equivalent of Task-score). We included 101 patients. A higher PMI (HR=0.590, CI: 0.374-0.930, P=0.023), SMI (HR=0.453, CI: 0.267-0.768, P=0.003), and LPMA (HR=0.559, CI: 0.333-0.944, P=0.029) were associated with a lower risk of mortality. Sarcopenia based on cut-off values for PMI and LPMA was not significantly associated with survival. Sarcopenia based on SMI did present a higher mortality risk (P=0.017). A sub-analysis showed that severely sarcopenic patients were at even higher risk of mortality (P=0.036). None of the parameters were significantly associated with the other outcomes. SMI had a slightly stronger association with mortality compared to PMI and LPMA. High-risk patients were selected by adding physical performance scores. Future research could focus on complex EVAR-specific PMI and LPMA cut-off values.
Sections du résumé
BACKGROUND
BACKGROUND
Sarcopenia is identified as a predictive factor for adverse outcomes after complex endovascular aortic repair (complex EVAR). Consensus on preferred parameters for sarcopenia is not yet reached. The current study compares three CT-assessed parameters on their association with adverse outcomes after complex EVAR.
METHODS
METHODS
This was a single-center retrospective cohort study. Psoas Muscle Index (PMI), Skeletal Muscle Index (SMI), and lean psoas muscle area (LPMA) were examined by CT-segmentation. PMI, SMI, and LPMA were analyzed as continuous variables. In addition, cut-off values from previous research were used to diagnose patients as sarcopenic or non-sarcopenic. Outcomes were: all-cause mortality, major adverse events (MAE), length of hospital stay, and non-home discharge. A sub-analysis was made for severe sarcopenia; sarcopenia combined with low physical performance (gait speed, Time Up and Go test, Metabolic Equivalent of Task-score).
RESULTS
RESULTS
We included 101 patients. A higher PMI (HR=0.590, CI: 0.374-0.930, P=0.023), SMI (HR=0.453, CI: 0.267-0.768, P=0.003), and LPMA (HR=0.559, CI: 0.333-0.944, P=0.029) were associated with a lower risk of mortality. Sarcopenia based on cut-off values for PMI and LPMA was not significantly associated with survival. Sarcopenia based on SMI did present a higher mortality risk (P=0.017). A sub-analysis showed that severely sarcopenic patients were at even higher risk of mortality (P=0.036). None of the parameters were significantly associated with the other outcomes.
CONCLUSIONS
CONCLUSIONS
SMI had a slightly stronger association with mortality compared to PMI and LPMA. High-risk patients were selected by adding physical performance scores. Future research could focus on complex EVAR-specific PMI and LPMA cut-off values.
Identifiants
pubmed: 37987737
pii: S0021-9509.23.12821-7
doi: 10.23736/S0021-9509.23.12821-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM