Coyle Mara G, Ounpraseuth Songthip T, Lester Barry, Dansereau Lynne M, Hu Zhuopei, Laptook Abbot
Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
Department of Biostatistics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
J Perinatol. 2025 Apr;45(4):465-472. doi: 10.1038/s41372-024-02144-6. Epub 2024 Oct 15.
To predict pharmacotherapy for NOWS based on factors available shortly after birth.
A multi-center, retrospective study of 1377 opioid exposed newborns between 2016 and 2017 dichotomized based on pharmacologic treatment (N = 665 treated, N = 712 not treated) was conducted. A multilevel mixed-effect logistic regression model that considered cluster effect from sites determined significant maternal and newborn factors associated with pharmacotherapy, which were combined in a nomogram to predict probability of treatment for infants at each participating site.
Factors predictive of treatment were: no breastmilk (1.76, 1.30-2.39; p < 0.001), male sex (1.39, 1.05-1.83; p = 0.021), polysubstance exposure (1.53, 1.15-2.06; p = 0.004), inadequate prenatal care (1.51, 1.07-2.13; p < 0.018) and Methadone (6.08, 4.03-9.27; p < 0.001) or Buprenorphine (1.86, 1.29-2.69; p < 0.001). A site-specific nomogram provided the probability of treatment for individual newborns.
Six factors available shortly after birth can be combined to predict site-specific use of medication for NOWS. If confirmed, the nomogram may identify at-risk newborns.
基于出生后不久即可获得的因素预测新生儿戒断综合征(NOWS)的药物治疗。
对2016年至2017年间1377例暴露于阿片类药物的新生儿进行了一项多中心回顾性研究,根据药物治疗情况分为两组(N = 665例接受治疗,N = 712例未接受治疗)。一个考虑了各研究地点聚类效应的多水平混合效应逻辑回归模型确定了与药物治疗相关的重要母体和新生儿因素,并将这些因素整合到一个列线图中,以预测每个参与研究地点的婴儿接受治疗的概率。
预测治疗的因素有:无母乳喂养(1.76,1.30 - 2.39;p < 0.001)、男性(1.39,1.05 - 1.83;p = 0.021)、多物质暴露(1.53,1.15 - 2.06;p = 0.004)、产前护理不足(1.51,1.07 - 2.13;p < 0.018)以及美沙酮(6.08,4.03 - 9.27;p < 0.001)或丁丙诺啡(1.86,1.29 - 2.69;p < 0.001)。一个特定研究地点的列线图可提供个体新生儿接受治疗的概率。
出生后不久即可获得的六个因素可结合起来预测NOWS的特定研究地点药物使用情况。如果得到证实,该列线图可能识别出有风险的新生儿。