通过Letermovir赋予的生存益处的异质性
Yu Akahoshi1, Hideki Nakasone2, Katsuto Takenaka3
1Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Division of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
Transplantation and cellular therapy
|April 30, 2025
概括
这项研究确定了患者特征,如晚年和高并发症,这些特征预测了莱特莫维尔 (LTV) 预防的更大生存益处. 这些发现支持个性化医疗方法,以减少移植后的非复发性死亡率.
科学领域:
- 血液学 血液学 血液学
- 移植免疫学 移植免疫学
- 生物统计学 生物统计学
背景情况:
- 人们越来越认识到治疗效果的异质性,即药物效益因患者特征而异.
- 以前的研究表明,勒特莫维尔 (LTV) 可能会提供差异性生存益处.
- 确定最有可能从LTV中受益的患者对于优化预防策略至关重要.
研究的目的:
- 为了确定与莱特莫维尔 (LTV) 显著生存益处相关的特定患者特征.
- 开发治疗效果异质性的预测模型,用于血液细胞干细胞移植 (HSCT) 中的LTV.
主要方法:
- 开发了两个模型:一个带有相互作用项 (PI) 的比例危险模型和一个机器学习 (ML) 的因果森林算法.
- 从2018-2022年接受移植的患者数据被分为培训 (n=5779) 和验证 (n=2865) 队列.
- 模型确定了从LTV预防中预测的生存益处较高的患者子组.
主要成果:
- 该PI模型确定了晚年 (≥60),高并发症 (HCT-CI ≥3),带血 (UCB) 移植和PTCy Haplo作为有益的因素.
- 根据个人治疗效果,ML模型将前60%的患者分类为高效益患者.
- 通过这两种模型确定的高效益组显示,与低效益组相比,LTV的6个月非复发死亡率 (NRM) 的绝对减少更大.
结论:
- 预测模型成功地确定了患者子组,预计在LTV预防中会经历较低的NRM.
- 研究结果强调了个性化医疗在HSCT中的重要性,根据患者个体特征量身定制LTV的使用.
- 晚年,高并发症和UCB移植是表明更大的LTV益处的关键因素.
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