将100Hz的硬度测量添加到Baveno VII模型中,改善了cACLD中的减补风险预测
Emma Vanderschueren1,2, Wim Laleman1,2
1Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
概括
脊髓硬度测量 (SSM) 和肝硬度测量 (LSM) 有助于预测晚期肝病中的脱补偿. 在像NICER这样的模型中将这些与临床因素相结合,可以改善补偿晚期慢性肝病 (cACLD) 患者的风险预测.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 医疗成像医学成像
- 诊断工具 诊断工具 诊断工具
背景情况:
- 补偿性晚期慢性肝病 (cACLD) 携带肝失补偿的风险.
- 使用100 Hz探针测量硬度 (SSM) 在诊断门高血压方面显示出有前途.
- 100 Hz-SSM的预测值,单独或与肝硬度测量 (LSM) 相结合,对于cACLD中脱补偿需要进一步评估.
研究的目的:
- 评估100Hz-SSM在预测cACLD患者肝脏衰减的疗效.
- 为了确定是否将100 Hz-SSM与LSM结合起来可以改善脱补偿风险预测.
- 评估结合SSM和LSM的新风险模型的性能.
主要方法:
- 对371名cACLD患者 (LSM ≥10kPa) 进行弹性体检的回顾性分析.
- 收集基线弹性学,实验室,人口和临床数据.
- 在35个月的中位数随访期间记录与肝脏相关的事件,以评估肝脏不补偿.
主要成果:
- 无论是LSM (C指数=0.79) 还是100 Hz-SSM (C指数=0.70) 都预测了肝脏衰竭.
- 纳入SSM,BMI和血小板的NICER模型 (非侵入性CSPH估计风险) 显示出更好的预测 (C指数=0.84).
- 贝文诺VII模型与SSM相结合,将患者分为不同的脱补偿风险组 (p<0.001).
结论:
- LSM和100 Hz-SSM对于评估cACLD中脱补偿风险非常有价值.
- 将这些测量纳入NICER或Baveno VII等风险模型可以提高预测准确性.
- 这些非侵入性工具有助于管理患有多病因性cACLD的患者.
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