Am J Epidemiol. 2022 Jan 1;191(1):208-219. doi: 10.1093/aje/kwab249.
Little is known about the impact of dose, duration, and timing of prenatal prescription opioid exposure on the risk of neonatal opioid withdrawal syndrome (NOWS). Using a cohort of 18,869 prepregnancy chronic opioid users nested within the 2000-2014 Medicaid Analytic eXtract, we assessed average opioid dosage within biweekly gestational age intervals, created group-based trajectory models, and evaluated the association between trajectory groups and NOWS risk. Women were grouped into 6 distinct opioid use trajectories which, based on observed patterns, were categorized as 1) continuous very low-dose use, 2) continuous low-dose use, 3) initial moderate-dose use with a gradual decrease to very low-dose/no use, 4) initial high-dose use with a gradual decrease to very low-dose use, 5) continuous moderate-dose use, and 6) continuous high-dose use. Absolute risk of NOWS per 1,000 infants was 7.7 for group 1 (reference group), 28.8 for group 2 (relative risk (RR) = 3.7, 95% confidence interval (CI): 2.8, 5.0), 16.5 for group 3 (RR = 2.1, 95% CI: 1.5, 3.1), 64.9 for group 4 (RR = 8.4, 95% CI: 5.6, 12.6), 77.3 for group 5 (RR = 10.0, 95% CI: 7.5, 13.5), and 172.4 for group 6 (RR = 22.4, 95% CI: 16.1, 31.2). Trajectory models-which capture information on dose, duration, and timing of exposure-are useful for gaining insight into clinically relevant groupings to evaluate the risk of prenatal opioid exposure.
关于产前处方类阿片暴露的剂量、持续时间和时间对新生儿阿片戒断综合征(NOWS)风险的影响知之甚少。本研究使用了 2000 年至 2014 年期间 Medicaid Analytic eXtract 中嵌套的 18869 名孕前慢性类阿片使用者队列,评估了每两周妊娠年龄间隔内的平均类阿片剂量,建立了基于群组的轨迹模型,并评估了轨迹组与 NOWS 风险之间的关联。这些女性被分为 6 种不同的阿片类药物使用轨迹,根据观察到的模式,这些轨迹被分为 1)持续非常低剂量使用,2)持续低剂量使用,3)初始中等剂量使用后逐渐减少至非常低剂量/不使用,4)初始高剂量使用后逐渐减少至非常低剂量使用,5)持续中等剂量使用,6)持续高剂量使用。每 1000 名婴儿中 NOWS 的绝对风险为组 1(参考组)的 7.7,组 2 的 28.8(相对风险 (RR) 3.7,95%置信区间 (CI):2.8,5.0),组 3 的 16.5(RR 2.1,95% CI:1.5,3.1),组 4 的 64.9(RR 8.4,95% CI:5.6,12.6),组 5 的 77.3(RR 10.0,95% CI:7.5,13.5),组 6 的 172.4(RR 22.4,95% CI:16.1,31.2)。轨迹模型-捕捉暴露剂量、持续时间和时间的信息-对于深入了解临床相关分组以评估产前类阿片暴露的风险很有用。