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Personalized Fludarabine Dosing To Reduce Non-Relapse Mortality In Hematopoietic Stem Cell Transplant Recipients Receiving Reduced Intensity Conditioning

机译:减少强度调节的造血干细胞移植接受者的个性化氟达拉滨剂量可减少非复发死亡率

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摘要

Patients undergoing hematopoietic cell transplantation (HCT) with reduced intensity conditioning (RIC) commonly receive fludarabine. Higher exposure of F-ara-A, the active component of fludarabine, has been associated with a greater risk of non-relapse mortality (NRM). We sought to develop a model for fludarabine dosing in adult HCT recipients that would allow for precise dose targeting and predict adverse clinical outcomes. We developed a pharmacokinetic model from 87 adults undergoing allogeneic RIC HCT that predicts F-ara-A population clearance (Clpop) accounting for ideal body weight and renal function. We then applied the developed model to an independent cohort of 240 patients to identify whether model predictions were associated with NRM and acute graft vs host disease (GVHD). Renal mechanisms accounted for 35.6% of total F-ara-A Clpop. In the independent cohort the hazard ratio of NRM at day 100 was significantly higher in patients with predicted F-ara-A clearance (Clpred) <8.50 L/hr (p<0.01) and area under the curve (AUCpred)>6.00 μg*hr/mL (p=0.01). A lower Clpred was also associated with more NRM at month 6 (p=0.01) and trended towards significance at 12 months (p=0.05). In multivariate analysis, low fludarabine clearance trended towards higher risk of acute GVHD (p=0.05). We developed a model that predicts an individual's systemic F-ara-A exposure accounting for kidney function and weight. This model may provide guidance in dosing in overweight individuals and those with altered kidney function.
机译:接受强度降低调节(RIC)的造血细胞移植(HCT)的患者通常接受氟达拉滨。氟达拉滨的活性成分F-ara-A的暴露量增加与非复发死亡率(NRM)的风险增加有关。我们试图开发一种成年HCT接受者氟达拉滨给药的模型,该模型可实现精确的剂量靶向并预测不良的临床结果。我们从接受异体RIC HCT的87位成年人中开发了一个药代动力学模型,该模型预测了占理想体重和肾功能的F-ara-A人群清除率(Clpop)。然后,我们将开发的模型应用于240名患者的独立队列中,以确定模型预测是否与NRM和急性移植物抗宿主病(GVHD)相关。肾机制占总F-ara-A Clpop的35.6%。在独立队列中,预测F-ara-A清除率(Clpred)<8.50 L / hr(p <0.01)和曲线下面积(AUCpred)> 6.00μg*的患者在第100天的NRM危险比显着更高hr / mL(p = 0.01)。较低的Clpred也与第6个月的较多NRM相关(p = 0.01),并在第12个月趋于显着(p = 0.05)。在多变量分析中,低氟达拉滨清除率倾向于增加急性GVHD的风险(p = 0.05)。我们开发了一个模型,该模型可预测个体的全身F-ara-A暴露量,说明肾功能和体重。该模型可为超重个体和肾功能改变的个体提供剂量指导。

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