Gissandaner Tre D, Wen Alainna, Gette Jordan A, Perry Kristin J, Mutignani Lauren M, Regan Timothy, Malloch Lacy, Tucker Lauren C, White Clint B, Fry Taylor B, Lim Crystal S, Annett Robert D
Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Child Maltreat. 2024 May;29(2):246-258. doi: 10.1177/10775595231161996. Epub 2023 Mar 14.
Limited research has examined a comprehensive set of predictors when evaluating discharge placement decisions for infants exposed to substances prenatally. Using a previously validated medical record data extraction tool, the current study examined prenatal substance exposure, infant intervention (i.e., pharmacologic, or non-pharmacologic), and demographic factors (e.g., race and ethnicity and rurality) as predictors of associations with discharge placement in a sample from a resource-poor state ( = 136; 69.9% Non-Hispanic White). Latent class analysis (LCA) was used to examine whether different classes emerged and how classes were differentially related to discharge placement decisions. Logistic regressions were used to determine whether each predictor was uniquely associated with placement decisions. Results of the LCA yielded a two-class solution comprised of (1) a Low Withdrawal Risk class, characterized by prenatal exposure to substances with low risk for neonatal abstinence syndrome (NAS) and non-pharmacologic intervention, and (2) a High Withdrawal Risk class, characterized by a high risk of NAS and pharmacologic intervention. Classes were not related to discharge placement decisions. Logistic regressions demonstrated that meth/amphetamine use during pregnancy was associated with greater odds of out of home placement above other substance types. Future research should replicate and continue examining the clinical utility of these classes.
在评估产前接触物质的婴儿的出院安置决策时,仅有有限的研究考察了一系列全面的预测因素。本研究使用了一种先前经验证的病历数据提取工具,考察了产前物质暴露、婴儿干预措施(即药物或非药物干预)以及人口统计学因素(如种族、民族和农村地区情况),以此作为资源匮乏州样本中与出院安置关联的预测因素(样本量n = 136;69.9%为非西班牙裔白人)。潜在类别分析(LCA)用于检验是否出现了不同类别,以及这些类别与出院安置决策的关联差异情况。逻辑回归用于确定每个预测因素是否与安置决策存在独特关联。潜在类别分析结果得出了一个两类解决方案,包括:(1)低戒断风险类别,其特征为产前接触对新生儿戒断综合征(NAS)风险较低的物质且采取非药物干预;(2)高戒断风险类别,其特征为NAS风险高且采取药物干预。类别与出院安置决策无关。逻辑回归表明,孕期使用甲基苯丙胺与家庭外安置的几率高于其他物质类型的几率相关。未来研究应重复并继续考察这些类别的临床效用。