B-290对加拿大安大略省接受阿片类药物使用障碍治疗的患者常用药物的看法

IF 6.3 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Josko Ivica, Aariz Naeem, Jacqueline Hudson, Matthew Nichols, Eleonora Petryayeva, Joseph Macri, Alannah McEvoy, Zainab Samaan
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Methods Two hundred POST study participants provided their urine samples to be tested on LC-MS/MS after their urines had been screened by IA. There were 99 drugs tested in this method. The kits were provided by Chromsystems (Grafelfing, Germany) and we followed their procedure for the analysis of these drugs. We investigated the participants’ demographics by age and gender/sex, the most commonly used drugs, their most common combinations, and the number of participants who were taking = 2 drugs, confirmed by LC-MS/MS. We also checked discordances between IA and LC-MS/MS for MATs, and amphetamine and methamphetamine. All the analyses and pertaining graphs were done in Microsoft Excel (Microsoft Corporation). Results The average age for all participants was 39.5 years. The participants were divided into 5 age groups (20-29.9, 30-30.9, 40-49.9, 50-50.9, = 60) and two sexes (males and cis/trans-females). Majority (n=161, 80.5%) of the participants were of the European descent, and 43.0 % were females. The three most commonly abused drugs were selected for a more detailed demographics analysis: THC-COOH (n=96, 48%), amphetamine and methamphetamine (n=47, 23.5%, for both). THC-COOH was present in 11.5% participants aged 20-29.9, 16.5% aged 30-39.9, 10% aged 40-49.9, 8% aged 50-59.9 and 2% = 60 years of age. THC-COOH was present in 31.5% males and 16% females (0.5% trans-females). Both amphetamine and methamphetamine were present in 23.5% of the participants (n=47), and both were present in 15% males and 8.5% females, as expected. There was only a slight difference between age groups. The percentage of the most common drug combination was as follows: amphetamine and methamphetamine (42%); amphetamine, methamphetamine combined with THC-COOH (19%); and amphetamine, methamphetamine combined with norfentanyl (18%). 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引用次数: 0

摘要

尿液药物筛查(UDS)仅限于几种感兴趣的药物类别,通常通过基于免疫测定(IA)的方法完成。如果需要,筛选结果可以通过液相色谱联用串联质谱法(LC-MS/MS)进行确认。药物辅助治疗(MAT)已被用于治疗和监测阿片类药物使用障碍(OUD)。MAT中使用的药物通常是美沙酮和/或丁丙诺啡和纳洛酮的组合。这项研究的目的是了解除了处方药之外,加拿大安大略省阿片类药物替代治疗反应(POST)药物遗传学研究的参与者还服用了哪些其他药物。方法200名POST研究参与者在尿液经IA筛选后,提供尿样进行LC-MS/MS检测。该方法共检测了99种药物。试剂盒由Chromsystems (Grafelfing, Germany)提供,我们按照他们的程序对这些药物进行分析。我们调查了参与者的年龄和性别,最常用的药物,最常见的组合,服用2种药物的参与者人数,通过LC-MS/MS确认。我们还检查了IA和LC-MS/MS之间对MATs、安非他明和甲基苯丙胺的不一致。所有的分析和相关图表都是在Microsoft Excel (Microsoft Corporation)中完成的。结果所有参与者的平均年龄为39.5岁。参与者被分为5个年龄组(20-29.9岁,30-30.9岁,40-49.9岁,50-50.9岁,60岁)和2个性别(男性和顺性/变性女性)。大多数参与者(n=161, 80.5%)是欧洲血统,43.0%是女性。选择三种最常被滥用的药物进行更详细的人口统计学分析:四氢大麻酚(n=96, 48%),安非他明和甲基苯丙胺(n=47, 23.5%,两者)。20-29.9岁11.5%、30-39.9岁16.5%、40-49.9岁10%、50-59.9岁8%、60岁2%存在THC-COOH。男性31.5%,女性16%(跨性别女性0.5%)存在THC-COOH。23.5%的参与者(n=47)体内都含有安非他明和甲基苯丙胺,如预期的那样,这两种物质分别存在于15%的男性和8.5%的女性体内。年龄组之间的差异很小。最常见的药物组合比例为:安非他明和甲基苯丙胺(42%);安非他明、甲基苯丙胺和四氢大麻酚(19%);还有安非他命、甲基苯丙胺和去芬太尼(18%)。服用2种经LC-MS/MS确认的药物最多的参与者(n= 40,20 %)尿液中有3种药物。令人惊讶的是,经LC-MS/MS证实,26.5%的受试者在IA屏幕上呈阴性。31名参与者(15.5%)在LC-MS/MS确认为阴性后,在IA中安非他明或甲基苯丙胺呈假阳性。结论:这项工作为安大略省接受MAT治疗OUD的人群在规定治疗之外同时使用的人群提供了重要的信息。它证实了LC-MS/MS对于确认MAT的符合性以及确认常用违禁药物的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
B-290 A perspective on commonly used drugs in patients receiving treatment for opioid use disorder in Ontario, Canada
Background Urine drug screens (UDS) are limited to a few drug classes of interest and are typically done by immunoassay-based (IA) methods. Screening results can then be confirmed by liquid chromatography coupled with tandem mass spectrometry methods (LC-MS/MS) if required. Medication-assisted treatment (MAT) has been used for treatment and monitoring of Opioid Use Disorders (OUD). Medications used in MAT are usually methadone and/or a combination of buprenorphine and naloxone. The aim of this is study was to see what other drugs the participants from the Pharmacogenetics of Opioid Substitution Treatment Response (POST) study in Ontario, Canada, were taking in addition to the prescribed medications. Methods Two hundred POST study participants provided their urine samples to be tested on LC-MS/MS after their urines had been screened by IA. There were 99 drugs tested in this method. The kits were provided by Chromsystems (Grafelfing, Germany) and we followed their procedure for the analysis of these drugs. We investigated the participants’ demographics by age and gender/sex, the most commonly used drugs, their most common combinations, and the number of participants who were taking = 2 drugs, confirmed by LC-MS/MS. We also checked discordances between IA and LC-MS/MS for MATs, and amphetamine and methamphetamine. All the analyses and pertaining graphs were done in Microsoft Excel (Microsoft Corporation). Results The average age for all participants was 39.5 years. The participants were divided into 5 age groups (20-29.9, 30-30.9, 40-49.9, 50-50.9, = 60) and two sexes (males and cis/trans-females). Majority (n=161, 80.5%) of the participants were of the European descent, and 43.0 % were females. The three most commonly abused drugs were selected for a more detailed demographics analysis: THC-COOH (n=96, 48%), amphetamine and methamphetamine (n=47, 23.5%, for both). THC-COOH was present in 11.5% participants aged 20-29.9, 16.5% aged 30-39.9, 10% aged 40-49.9, 8% aged 50-59.9 and 2% = 60 years of age. THC-COOH was present in 31.5% males and 16% females (0.5% trans-females). Both amphetamine and methamphetamine were present in 23.5% of the participants (n=47), and both were present in 15% males and 8.5% females, as expected. There was only a slight difference between age groups. The percentage of the most common drug combination was as follows: amphetamine and methamphetamine (42%); amphetamine, methamphetamine combined with THC-COOH (19%); and amphetamine, methamphetamine combined with norfentanyl (18%). The greatest number of participants who took = 2 drugs confirmed by LC-MS/MS (n=40, 20%) had 3 drugs in urine. Surprisingly, 26.5% of participants who were compliant with their MATs, confirmed by LC-MS/MS, were negative on IA screens. Thirty-one participants (15.5%) were falsely positive for either amphetamine or methamphetamine on IA, after being confirmed negative on LC-MS/MS. Conclusion This work has shed important light into what populations across Ontario, who are receiving MAT for OUD, concurrently use in addition to their prescribed treatment. It confirmed the importance of LC-MS/MS for confirmation of the compliance with MAT, as well as confirmation of commonly taken illicit drugs.
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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