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在新分配系统中,心脏移植后生存的预测因素:UNOS数据库分析
Jaimin Trivedi1, Siddharth Pahwa1, David Rabkin2
1From the Department of Cardiothoracic Surgery, University of Louisville, Louisville, Kentucky.
概括
预测心脏移植的移植损失现在更加清晰. 移植时容易识别的临床因素有助于将患者分为低风险,中风险和高风险组,以获得更好的结果.
科学领域:
- 心脏病学 心脏病学
- 移植医学 移植医学
- 免疫学 免疫学 免疫学
背景情况:
- 联合国器官共享网络 (UNOS) 的心脏分配系统发生了变化,需要对移植后移植损失预测指标进行重新评估.
- 以前对心脏移植受体中移植损失的临床预测因子的表征在当前时代是有限的.
研究的目的:
- 为了确定接受者和捐赠者风险因素,与移植后的移植损失相关,在UNOS心脏分配系统修改后.
- 根据容易获得的临床特征,开发一个预测得分来分层心脏移植接受者到风险组.
主要方法:
- 来自UNOS数据库的大量成年单个器官心脏移植队列 (n=10,252) 的分析.
- 在测试队列 (n=6,869) 上使用考克斯回归分析来确定风险因素.
- 开发了一个风险评分 (最大16分) 并通过将患者分为低 (≤1),中 (2-3分) 和高 (≥4) 风险组来验证.
主要成果:
- 确定了多个受体因素 (老年,黑人种族,血型O,糖尿病,心力衰竭病因,功能障碍,胆红素升高,重复移植,肺动脉压升高,VAD或ECMO/呼吸机支持) 和与移植损失相关的供体因素 (缺血时间,供体年龄).
- 在验证队列中,低风险组的1年移植存活率为94%,中等风险组为91%,高风险组为85%.
- 证明了开发的风险评分对移植后移植损失的预测能力.
结论:
- 在心脏移植时很容易获得的临床特征可以有效地预测心脏移植后的结果.
- 开发的风险分层工具有助于识别患有移植损失风险较高的患者,并可能指导管理策略.
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