通过CT测试对1年死亡率进行人体构成分析的预测值,该预测值是在跨导管大动脉置换术后的1年死亡率
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
概括
从手术前CT扫描中获得的身体组成指数,特别是T12水平的肉类和脂肪,可以预测经过过导管大动脉置换 (TAVR) 患者的1年死亡率. 这些发现有助于风险分层,以改善患者的治疗结果.
科学领域:
- 心脏病学 心脏病学
- 放射学 放射学是一门学科.
- 老年学是一门学科.
背景情况:
- 过导管大动脉置换 (TAVR) 是大动脉狭窄的关键手术.
- 预测TAVR后的长期结果对于患者管理至关重要.
- 使用计算机断层扫描 (CT) 分析身体组成,可以了解患者的健康状况.
研究的目的:
- 评估TAVR患者1年死亡率的手术前CT扫描身体组成指数的预测值.
- 确定与死亡风险相关的特定体质成分指标.
主要方法:
- 分析了408名接受TAVR治疗的患者队列.
- 骨肌肉和皮下脂肪区域在术前CT扫描上测量T4,T12和L3水平.
- 考克斯比例危险回归被用来评估身体组成和1年死亡率之间的关联.
主要成果:
- 一年死亡率在患有肉症和/或脂肪症的患者中显著更高.
- 患有肉症和脂肪症的患者的死亡率为26%.
- 在T12水平的身体组成,包括缩症和缩症,是1年死亡率的独立预测因子 (HR:4.09).
结论:
- 通过T12水平的CT评估的肉类和脂肪,对于对TAVR患者1年全因死亡风险的分层有价值.
- 在手术前,基于CT的身体组成分析可以指导临床决策和患者咨询.
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