通过贝叶斯非参数机器学习对血造干细胞移植进行多种结果的最佳捐赠者选择
Rodney A Sparapani1, Martin Maiers2, Stephen R Spellman2
1Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA.
medRxiv : the preprint server for health sciences
|May 20, 2024
概括
选择最好的输血细胞移植 (HCT) 供体是复杂的. 我们的研究建议优先考虑最年轻的男性捐赠者,除非女性捐赠者明显年轻,以改善生存结果.
科学领域:
- 血液学 血液学 血液学
- 免疫学 免疫学 免疫学
- 生物统计学 生物统计学
背景情况:
- 全基性造血细胞移植 (HCT) 为血液性恶性瘤提供治疗潜力,但面临着来自供体选择复杂性的挑战.
- 已经建立了标准的HLA基因匹配,但在8/8个等位基因匹配的非相关捐赠者中进行最佳选择需要优先考虑其他因素,如HLA-DPB1/DQB1,捐赠者的性别,CMV状态和年龄.
- 捐赠者特征影响各种移植后结果,包括生存,复发,移植失败和慢性移植对宿主疾病,影响整体无事件生存 (EFS).
结论:
- 拟议的方法建议采用有利于最年轻的男性供体的供体选择策略.
- 当女性捐赠者年轻得多时,会有例外情况,这表明可能有更好的结果.
- 这一数据驱动的策略旨在提高异构HCT的患者存活率和无事件存活率.
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