Braun Thomas M, Yuan Zheng, Thall Peter F
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, USA.
Biometrics. 2005 Jun;61(2):335-43. doi: 10.1111/j.1541-0420.2005.00312.x.
Most phase I clinical trials are designed to determine a maximum-tolerated dose (MTD) for one initial administration or treatment course of a cytotoxic experimental agent. Toxicity usually is defined as the indicator of whether one or more particular adverse events occur within a short time period from the start of therapy. However, physicians often administer an agent to the patient repeatedly and monitor long-term toxicity due to cumulative effects. We propose a new method for such settings. It is based on the time to toxicity rather than a binary outcome, and the goal is to determine a maximum-tolerated schedule (MTS) rather than a conventional MTD. The model and method account for a patient's entire sequence of administrations, with the overall hazard of toxicity modeled as the sum of a sequence of hazards, each associated with one administration. Data monitoring and decision making are done continuously throughout the trial. We illustrate the method with an allogeneic bone marrow transplantation (BMT) trial to determine how long a recombinant human growth factor can be administered as prophylaxis for acute graft-versus-host disease (aGVHD), and we present a simulation study in the context of this trial.
大多数I期临床试验旨在确定细胞毒性实验药物单次初始给药或一个疗程的最大耐受剂量(MTD)。毒性通常被定义为从治疗开始后的短时间内是否发生一种或多种特定不良事件的指标。然而,医生经常反复给患者使用药物,并监测由于累积效应导致的长期毒性。我们针对此类情况提出了一种新方法。它基于毒性发生时间而非二元结果,目标是确定最大耐受给药方案(MTS)而非传统的MTD。该模型和方法考虑了患者的整个给药序列,将总体毒性风险建模为一系列风险之和,每个风险与一次给药相关。在整个试验过程中持续进行数据监测和决策。我们通过一项异基因骨髓移植(BMT)试验来说明该方法,以确定重组人生长因子作为预防急性移植物抗宿主病(aGVHD)可以给药多长时间,并且我们在该试验背景下进行了一项模拟研究。