Kirsh Kenneth L, Heit Howard A, Huskey Angela, Strickland Jennifer, Egan Kathleen, Passik Steven D
Millennium Research Institute, San Diego, California; Vice President, Clinical Research and Advocacy, Millennium Health, San Diego, California.
Georgetown University School of Medicine, Washington, DC.
J Opioid Manag. 2015 Jan-Feb;11(1):61-8. doi: 10.5055/jom.2015.0253.
Urine drug testing (UDT) can play an important role in the care of patients in recovery from addiction, and it has become necessary for providers and programs to utilize specific, accurate testing beyond what immunoassay (IA) provides.
A database of addiction treatment and recovery programs was sampled to demonstrate national trends in drug abuse and to explore potential clinical implications of differing results due to the type of testing utilized.
Deidentified data was selected from a national laboratory testing company that had undergone liquid chromatography tandem mass spectrometry (LC-MS/MS).
PATIENTS/PARTICIPANTS: A total of 4,299 samples were selected for study.
Descriptive statistics of the trends are presented.
In total, 48.5 percent (n = 2,082) of the samples were deemed in full agreement between the practice reports and the results of LC-MS/MS testing. The remaining 51.5 percent of samples fell into one of seven categories of unexpected results, with the most frequent being detection of an unreported prescription medication (n = 1,097).
Results of UDT demonstrate that more than half of samples yield unexpected results from specimens collected in addiction treatment. When comparing results of IA and LC-MS/MS, it is important to consider the limits of IA in the detection of drug use by these patients.
尿液药物检测(UDT)在成瘾康复患者的护理中可发挥重要作用,对于医疗服务提供者和相关项目而言,采用免疫分析法(IA)之外更具特异性、准确性的检测方法已变得十分必要。
对一个成瘾治疗与康复项目数据库进行抽样,以展示药物滥用的全国趋势,并探讨因检测方法不同而产生的不同结果的潜在临床意义。
从一家采用液相色谱串联质谱法(LC-MS/MS)的全国性实验室检测公司选取去识别化数据。
患者/参与者:共选取4299份样本用于研究。
呈现趋势的描述性统计数据。
总体而言,48.5%(n = 2082)的样本在实践报告与LC-MS/MS检测结果之间被认为完全一致。其余51.5%的样本属于七类意外结果之一,最常见的是检测到未报告的处方药(n = 1097)。
UDT结果表明,超过一半的样本在成瘾治疗中采集的标本产生了意外结果。在比较IA和LC-MS/MS的结果时,重要的是要考虑IA在检测这些患者药物使用方面的局限性。