搜索总结得分:一个全球性衡量预测匹配的无关干细胞捐赠者可用性的全球措施
Stephanie Fingerson1, Kim Wadsworth2, Yung-Tsi Bolon1
1CIBMTR® (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, Minnesota.
Transplantation and cellular therapy
|October 5, 2025
概括
一个新的搜索总结分数 (SSS) 通过将HLA匹配概率与供体可用性相结合,提高了与无关的供体搜索生产率. 这一新型指标提高了血液造血干细胞移植中的患者护理和供体获取.
科学领域:
- 造血干细胞移植 (HSCT) 的方法
- 免疫遗传学 免疫遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 成功的HSCT依赖于识别与人类白细胞抗原 (HLA) 匹配的无关捐赠者 (URD).
- 目前的URD搜索生产率指标没有完全捕捉到现实世界的捐赠者可用性,影响了移植时间表.
研究的目的:
- 开发一个更好的评分来评估URD搜索生产力.
- 为了更准确地预测捐赠者可用性和移植结果.
主要方法:
- 介绍了搜索总结得分 (SSS),一个新的指标.
- SSS将NMDP HapLogic HLA匹配概率与捐赠者准备分数 (DRS) 结合在一起,这是基于机器学习的对捐赠者可用性的估计.
- SSS提供了患者特定的,概率概要预期的搜索结果.
主要成果:
- 在18222个URD搜索 (2021-2024) 的验证组中,SSS表现出比现有得分更高的预测准确性.
- 为了预测8/8 HLA匹配,SSS的AUC值为0.962,F1得分为0.96.
- 在现有的搜索预后类别中,SSS有效地区分临床相关的情景.
结论:
- SSS是一种可解释,可扩展和全球适用的工具,用于在搜索开始时评估匹配的捐赠者可用性.
- 通过整合HLA兼容性和供体准备,SSS增强了临床决策,并促进了公平的供体获取.
- SSS支持早期规划,以有效地选择替代的移植来源,改善HSCT的结果.
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