肝移植等候名单中的肉类和性别差异:评估预测得分和删除风险
Edouard Wasielewski1, Estelle Le Pabic2, Kevin Preault1
1Department of Hepatobiliary and Digestive Surgery, University Hospital, Rennes 1 University, Rennes, France.
Hepatobiliary surgery and nutrition
|October 17, 2025
概括
肝脏分配- (GEMA-Na) 评分的性别平等模型最好预测肝脏移植等候名单的删除,但未能解释. 纳入sarcopenia至关重要,以确保公平的患者优先级.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 移植医学 移植医学
- 老年病的医生 老年病的医生
背景情况:
- 目前的肝移植 (LT) 等候名单优先级模型,MELD和MELD-Na都有局限性.
- 根据性别存在LT获取的差异,女性的死亡率更高.
- 在现有模型中没有考虑影响患者结果的 Sarcopenic 状态.
研究的目的:
- 将MELD,MELD-Na和GEMA分数进行比较,以预测LT等候名单的结果.
- 评估萨尔科佩尼亚对从LT等候名单出院的患者的影响.
- 确定患者优先考虑的最具歧视性的得分.
主要方法:
- 在雷恩大学医院 (2012-2022) 的LT等候名单上900名肝硬化患者的回顾性分析.
- 收集了关于身体组成和移植前并发症的数据.
- 利用考克斯模型来评估肉症和列表上的性别之间的相互作用.
主要成果:
- 在GEMA-Na得分中,对于3个月的退市,GEMA-Na得分显示了最高的歧视力 (C指数=0.7205).
- 妇女占从名单出院的患者中比例较高 (32%).
- 麻症很普遍 (36%),不成比例地影响男性,特别是那些离开名单的人 (60%的男性对11%的女性).
结论:
- GEMA-Na是对LT等候名单删除的最具预测性的得分,但忽略了形状.
- 萨尔科佩尼亚对男性患者产生负面影响,创造了潜在的新差异.
- 将形状纳入优先级模型对于公平的LT分配至关重要.
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