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用于识别有新生儿戒断综合征风险的婴儿药物治疗需求的早期预测工具。

Early Prediction Tool to Identify the Need for Pharmacotherapy in Infants at Risk of Neonatal Abstinence Syndrome.

作者信息

Isemann Barbara T, Stoeckle Elaina C, Taleghani Afshin A, Mueller Eric W

机构信息

Department of Pharmacy, University of Cincinnati Medical Center, Cincinnati, Ohio.

James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio.

出版信息

Pharmacotherapy. 2017 Jul;37(7):840-848. doi: 10.1002/phar.1948. Epub 2017 Jul 2.

Abstract

OBJECTIVE

To develop a tool to predict the need for pharmacologic treatment of neonatal abstinence syndrome (NAS) within 36 hours from birth in infants at risk for opioid withdrawal.

STUDY DESIGN

Retrospective study of infants born at gestation of ≥34 weeks with in utero exposure to opioids during two time periods from January 2013 through October 2016. Period 1 was used to develop a predictive tool for validation during period 2. Birth weight, gestational age, four categories of opioid exposure, and individual scores for 21 withdrawal symptoms from the Modified Finnegan Score at 36 hours of life were recorded. During period 1, a best subsets multiple regression analysis was performed on factors that were associated with pharmacotherapy on univariate analysis. Two tools were designed: one based on three highly predictive symptoms associated with need for pharmacotherapy for NAS and the other incorporating opioid exposure. Sensitivity, specificity, and positive and negative predictive values for the tools were calculated during period 2.

RESULTS

The study included 264 infants (period 1, n=143; period 2, n=121). Polysubstance exposure and three withdrawal symptoms present at 36 hours of life that were significantly associated with pharmacotherapy for NAS comprised the tools. The "symptoms only tool" was able to predict that infants with a score <1 would not receive pharmacotherapy, and infants with scores of ≥4 would receive pharmacotherapy with positive predictive values of 90% and 100%, respectively. When opioid exposure was included, the "symptoms + exposure tool" was able to predict that infants with a score of ≤1 would not receive pharmacotherapy and infants with scores of ≥5 would receive pharmacotherapy with positive predictive values of 94% and 86%, respectively.

CONCLUSION

An NAS prediction tool combining three clinical signs with and without category of opioid exposure had high positive predictive values for requiring and for not requiring pharmacotherapy. This tool may expedite pharmacotherapy decisions and optimize management for infants at risk for NAS.

摘要

目的

开发一种工具,用于预测有阿片类药物戒断风险的婴儿出生后36小时内对新生儿戒断综合征(NAS)进行药物治疗的必要性。

研究设计

对2013年1月至2016年10月两个时间段内出生孕周≥34周且宫内暴露于阿片类药物的婴儿进行回顾性研究。第1阶段用于开发预测工具,在第2阶段进行验证。记录出生体重、孕周、四类阿片类药物暴露情况以及出生36小时时改良芬尼根评分中21种戒断症状的个体得分。在第1阶段,对单因素分析中与药物治疗相关的因素进行最佳子集多元回归分析。设计了两种工具:一种基于与NAS药物治疗需求相关的三种高度预测性症状,另一种纳入了阿片类药物暴露情况。在第2阶段计算工具的敏感性、特异性以及阳性和阴性预测值。

结果

该研究纳入264例婴儿(第1阶段,n = 143;第2阶段,n = 121)。多物质暴露以及出生36小时时出现的与NAS药物治疗显著相关的三种戒断症状构成了这些工具。“仅症状工具”能够预测得分<1的婴儿不会接受药物治疗,得分≥4的婴儿会接受药物治疗,阳性预测值分别为90%和100%。当纳入阿片类药物暴露情况时,“症状+暴露工具”能够预测得分≤1的婴儿不会接受药物治疗,得分≥5的婴儿会接受药物治疗,阳性预测值分别为94%和86%。

结论

一种结合三种临床体征且有无阿片类药物暴露分类的NAS预测工具,对于需要和不需要药物治疗具有较高的阳性预测值。该工具可能会加快药物治疗决策,并优化对有NAS风险婴儿的管理。

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