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在美国城市环境中,对 NIDA 修正版 ASSIST 作为一种产前药物使用筛查工具的验证。

Validation of the NIDA-modified ASSIST as a Screening Tool for Prenatal Drug Use in an Urban Setting in the United States.

机构信息

RTI International, 6110 Executive Boulevard, Rockville, MD (EAO); Battelle Memorial Institute, Baltimore, MD (EAO, ENP, VHC-C); University of Maryland School of Medicine, Baltimore, MD (KM, VHC-C); The Emmes Company, LLC, Rockville, MD (VHC-C).

出版信息

J Addict Med. 2020 Sep/Oct;14(5):423-430. doi: 10.1097/ADM.0000000000000614.

Abstract

BACKGROUND

Screening for prenatal drug use is recommended. The NIDA-modified Alcohol, Smoking, and Substance Involvement Screening Test (NM-ASSIST) is a screener for drug use that has not yet been validated with pregnant women. This study aims to assess the substance-specific diagnostic validity of the NM-ASSIST (not including tobacco or alcohol) in pregnant women and determine optimal cut-points for substance-specific substance involvement (SI) scores.

METHODS

Five hundred (500) pregnant women were recruited from 2 obstetric practices as part of a larger study of substance use screeners. Participants completed the NM-ASSIST, and provided urine and hair samples for testing. Receiver-operating characteristic curves were derived to determine the optimal SI score cut-points for each drug.

FINDINGS

Prevalence estimates of prenatal drug use as determined by hair/urine drug testing were: cannabis (32.0%), cocaine (9.9%), benzodiazepines (1.0%), prescription opioids (4.3%), and street opioids (1.7%). The proportion of participants screening positive based on optimal SI score cut-points were as follows: cannabis (39.1%), cocaine (2.3%), benzodiazepines (0.8%), prescription opioids (2.7%), and street opioids (1.7%). There were no screen positives for amphetamines, but 6 (1.2%) women had a positive amphetamine hair or urine test. Optimal cut-points to identify prenatal drug use were: cannabis, 2 (area under the curve [AUC] 0.87; sensitivity 0.82; specificity 0.85; diagnostic odds ratio [DOR] 26.9); cocaine, 2 (AUC 0.58; sensitivity 0.17; specificity 0.99; DOR 29.0); benzodiazepines, 15 (AUC 0.59; sensitivity 0.20; specificity 0.99; DOR 38.8); prescription opioids, 3 (AUC 0.61; sensitivity 0.25; specificity 0.98; DOR 18.3); and street opioids, 4 (AUC 0.55; sensitivity 0.13; specificity 0.99; DOR 9.3).

CONCLUSIONS

The NM-ASSIST reliably distinguished pregnant women who use cannabis from those who do not, but performed poorly for all other substances. More research is needed to identify screeners that reliably detect all prenatal drug use. Although more cost-prohibitive, a combination of self-report and toxicological screening may be preferable for detecting prenatal drug use.

摘要

背景

建议对产前药物使用进行筛查。NIDA 改良的酒精、吸烟和物质参与筛查测试(NM-ASSIST)是一种尚未在孕妇中验证过的药物使用筛查工具。本研究旨在评估 NM-ASSIST(不包括烟草或酒精)在孕妇中的特定物质诊断有效性,并确定特定物质参与(SI)评分的最佳截断点。

方法

500 名孕妇从 2 家产科诊所招募,作为更大的物质使用筛查器研究的一部分。参与者完成 NM-ASSIST,并提供尿液和头发样本进行检测。获得受试者工作特征曲线以确定每种药物的最佳 SI 评分截断点。

结果

根据毛发/尿液药物检测确定的产前药物使用患病率估计值为:大麻(32.0%)、可卡因(9.9%)、苯二氮䓬类(1.0%)、处方类阿片类药物(4.3%)和街头类阿片类药物(1.7%)。根据最佳 SI 评分截断点筛查阳性的参与者比例如下:大麻(39.1%)、可卡因(2.3%)、苯二氮䓬类(0.8%)、处方类阿片类药物(2.7%)和街头类阿片类药物(1.7%)。没有安非他命筛查阳性,但 6 名(1.2%)女性的尿液或毛发中安非他命呈阳性。用于识别产前药物使用的最佳截断点为:大麻,2(曲线下面积 [AUC] 0.87;灵敏度 0.82;特异性 0.85;诊断比值比 [DOR] 26.9);可卡因,2(AUC 0.58;灵敏度 0.17;特异性 0.99;DOR 29.0);苯二氮䓬类,15(AUC 0.59;灵敏度 0.20;特异性 0.99;DOR 38.8);处方类阿片类药物,3(AUC 0.61;灵敏度 0.25;特异性 0.98;DOR 18.3);街头类阿片类药物,4(AUC 0.55;灵敏度 0.13;特异性 0.99;DOR 9.3)。

结论

NM-ASSIST 可靠地区分了使用大麻的孕妇和不使用大麻的孕妇,但对所有其他物质的检测效果都很差。需要进一步研究来确定能够可靠检测所有产前药物使用的筛查工具。虽然成本更高,但自我报告和毒理学筛查的组合可能更适合检测产前药物使用。

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