Effects of computed tomography-defined sarcopenia on patients undergoing transcatheter aortic valve implantation

计算机断层扫描定义的肌少症对接受经导管主动脉瓣置换术患者的影响

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Abstract

OBJECTIVES: Stratifying patients with aortic stenosis is crucial for improving their lifetime management. Several studies analysed computed tomography (CT)-defined sarcopenia in patients undergoing transcatheter aortic valve implantation (TAVI). However, the criteria for CT-defined sarcopenia are heterogeneous among these studies. Mostly, they primarily evaluated short-term outcomes; research focusing on long-term outcomes, related to lifetime management in patients with aortic stenosis, is rare. We assessed the effects of CT-defined sarcopenia on the short- and long-term outcomes in patients undergoing TAVI using three different sarcopenia criteria, including two traditional criteria and a novel criterion. METHODS: In this retrospective study, we enrolled 360 patients. Three different sarcopenia criteria (skeletal muscle index [SMI], psoas muscle area [PMA] and psoas muscle volume index [PVI]) were applied to assess safety and early and long-term clinical outcomes. RESULTS: SMI-, PMA- and PVI-sarcopenia were diagnosed in 244 (67.7%), 246 (68.3%) and 161 (44.7%) patients, respectively. However, PMA-sarcopenia was associated with poor long-term survival after TAVI. Furthermore, PVI-sarcopenia was associated with lower safety at 30 days and poor long-term survival. Using Cox regression hazard models, PVI-sarcopenia tended to be a risk factor for overall survival (hazards ratio: 1.49, P = 0.052). CONCLUSIONS: In patients undergoing TAVI, CT-defined sarcopenia using PVI-based criteria was a reliable predictor of poor outcomes. This finding might facilitate stratification of patients undergoing TAVI.

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