Low muscle mass and muscle quality are associated with mortality after Transcatheter Aortic Valve Implantation

Not all patients with severe aortic valve stenosis benefit from Transcatheter Aortic Valve Implantation (TAVI). Especially frail patients, with low resilience due to low muscle mass or muscle quality may be at risk of mortality, despite a technically successful procedure. Aim of this study is to determine if automatically assessed muscle mass and muscle quality are associated with long-term mortality after TAVI. The study had an observation design. Including 1405 patients with servere aortic stenosis undergoing TAVI, from January 2010 until January 2020. With the deep-learning software of Quantib (research.quantib.com) muscle area, average density of muscle area in Hounsfield Units and Intermuscular Adipose Tissue was determined. Patients were followed for approximately 5-year. 1. Data of study Because of the sensitive nature of the data, the data is confidential and will be shared only under strict conditions. For more information contact: [e-mail], Cardiology, Amsterdam UMC, Meibergdreef 9, 1105AZ Amsterdam, The Netherlands. Syntax used for analysis can be found on GitHub: https://github.com/Dennisvanerck/Quantib_mortality

并非所有重度主动脉瓣狭窄患者均可从经导管主动脉瓣植入术（Transcatheter Aortic Valve Implantation, TAVI）中获益。尤其是因肌肉量不足或肌肉质量欠佳，导致身体耐受能力低下的体质虚弱患者，即便手术操作技术成功，仍可能面临死亡风险。本研究旨在探究自动评估的肌肉量与肌肉质量是否与TAVI术后长期死亡率存在关联。本研究采用观察性研究设计，纳入2010年1月至2020年1月期间接受TAVI治疗的1405例重度主动脉瓣狭窄患者。使用Quantib公司的深度学习软件（research.quantib.com）对肌肉面积、以亨氏单位（Hounsfield Units, HU）计量的肌肉平均密度以及肌间脂肪组织进行定量测定。对所有入组患者开展了为期约5年的随访。

1. 研究数据
鉴于本研究数据的敏感性，相关数据属于机密信息，仅可在严格限定的条件下共享。如需获取更多信息，请联系：[e-mail]，荷兰阿姆斯特丹大学医学中心（Amsterdam UMC）心脏病学系，梅贝格德里夫9号，1105AZ 阿姆斯特丹，荷兰。
本研究分析所用的代码脚本可于GitHub平台获取：https://github.com/Dennisvanerck/Quantib_mortality