Department of Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
CPT Pharmacometrics Syst Pharmacol. 2017 Sep;6(9):596-603. doi: 10.1002/psp4.12220. Epub 2017 Aug 29.
The 6-minute walk test (6MWT) is used as a clinical endpoint to evaluate drug efficacy in Duchenne Muscular Dystrophy (DMD) trials. A model was developed using digitized 6MWT data that estimated two slopes and two intercepts to characterize 6MWT improvement during development and 6MWT decline. Mean baseline 6MWT was 362 (±87) meters. The model predicted an improvement at a rate of 20 meters/year (95% confidence interval (CI) = 9.4-30) up until 10 years old (95% CI = 6.78-13.1), and then a decline at a rate of 85 meters/year (95% CI = 72-98). Interpatient slope variability for improvement and decline were similar at 21.9 percentage of coefficient of variation (%CV) and 23.3%CV, respectively. Model simulations using age demographics from a previous DMD natural history study could reasonably predict the trend in improvement and decline in the 6MWT. This model can be used to quantitate individual patient trajectories, identify prognostic factors for disease progression, and evaluate drug effect.
6 分钟步行测试(6MWT)被用作评估杜氏肌营养不良症(DMD)试验中药物疗效的临床终点。利用数字化的 6MWT 数据开发了一个模型,该模型估计了两个斜率和两个截距,以描述 6MWT 在发育过程中的改善和 6MWT 的下降。平均基线 6MWT 为 362(±87)米。该模型预测,在 10 岁之前,6MWT 以每年 20 米的速度(95%置信区间[CI]为 9.4-30)改善,然后以每年 85 米的速度(95%CI=72-98)下降。改善和下降的个体间斜率变异性相似,分别为变异系数(%CV)的 21.9%和 23.3%CV。使用来自先前 DMD 自然史研究的年龄人口统计学数据进行的模型模拟可以合理地预测 6MWT 改善和下降的趋势。该模型可用于量化个体患者的轨迹,确定疾病进展的预后因素,并评估药物疗效。