Al-Huniti N, Nielsen J C, Hutmacher M M, Lappalainen J, Cantagallo K, Sostek M
AstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Ann Arbor Pharmacometrics Group, Ann Arbor, Michigan, USA.
CPT Pharmacometrics Syst Pharmacol. 2016 Jul;5(7):359-66. doi: 10.1002/psp4.12099. Epub 2016 Jul 20.
Naloxegol is a polyethylene glycol derivative of naloxone approved in the US as a once-daily oral treatment for opioid-induced constipation (OIC) in adults with chronic noncancer pain. Population exposure-response models were constructed based on data from two phase III studies comprising 1,331 adults with noncancer pain and OIC. In order to characterize the protocol-defined naloxegol responder rate, the number of daily spontaneous bowel movements (SBMs) was characterized by a longitudinal ordinal nonlinear mixed-effects logistic regression dose-response model, and the incidence of diary entry discontinuation was described by a time-to-event model. The mean number of SBMs per week increased with increasing naloxegol dose. The predicted placebo-adjusted responder rates (90% confidence interval) were 10.4% (4.6-13.4%) and 11.1% (4.8-14.4%) for naloxegol 12.5 and 25 mg/day, respectively. Model-predicted response to naloxegol was influenced by the baseline SBM frequency and characteristics of the opioid treatment.
纳洛西醇是纳洛酮的聚乙二醇衍生物,在美国被批准用于患有慢性非癌性疼痛的成人阿片类药物引起的便秘(OIC)的每日一次口服治疗。基于两项包含1331名患有非癌性疼痛和OIC的成人的III期研究数据构建了群体暴露-反应模型。为了描述方案定义的纳洛西醇反应率,通过纵向有序非线性混合效应逻辑回归剂量反应模型对每日自发排便次数(SBMs)进行了表征,并通过事件发生时间模型描述了日记记录中断的发生率。每周SBMs的平均次数随着纳洛西醇剂量的增加而增加。纳洛西醇12.5毫克/天和25毫克/天的预测安慰剂调整反应率(90%置信区间)分别为10.4%(4.6-13.4%)和11.1%(4.8-14.4%)。模型预测的对纳洛西醇的反应受基线SBM频率和阿片类药物治疗特征的影响。