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干血斑和尿液中 230 种药物和 30 种非法化合物的多重分析。

Multiplex Analysis of 230 Medications and 30 Illicit Compounds in Dried Blood Spots and Urine.

机构信息

NRCC (CC/CT) - Alcala Testing and Analysis Services, 3703 Camino del Rio South #100-A, San Diego, CA, 92108.

Alcala Testing and Analysis Services.

出版信息

J Anal Toxicol. 2021 Jul 10;45(6):581-592. doi: 10.1093/jat/bkaa125.

Abstract

Drugs of abuse and medication reconciliation testing can benefit from analysis methods capable of detecting a broader range of drug classes and analytes. Mass spectrometry analysis of a wide variety of commonly prescribed medications and over-the-counter drugs per sample also allows for application of a drug-drug interaction (DDI) algorithm to detect adverse drug reactions. In order to prevent adulteration of commonly collected clinical samples such as urine, dried blood spots (DBS) present a reliable alternative. A novel method is described for qualitative and quantitative multiplex analysis of 230 parent drugs, 30 illicit drugs and 43 confirmatory metabolites by HPLC-MS-MS This method is applicable to DBS specimens collected by volumetric absorptive microsamplers and confirmable in urine specimens. A patient cohort (n = 67) providing simultaneous urine specimens and DBS resulted in 100% positive predictive values of medications or illicits confirmed by detection of a parent drug and/or its metabolite during routine medication adherence analysis. An additional 5,508 DBS specimens screened (n = 5,575) showed 5,428 (97%) with an inconsistent positive compared to the provided medication list (including caffeine, cotinine or ethanol metabolites), 29 (0.5%) with no medication list and no unexpected positive results (consistent negative) and 22 (0.4%) showed all positive results matching the provided medication list (consistent positive). A DDI algorithm applied to all positive results revealed 17% with serious and 56% with moderate DDI warnings. Comprehensive DBS analysis proves a reliable alternative to urine drug testing for extended medication reconciliation, with the added advantage of detecting DDIs.

摘要

滥用药物和药物重整测试受益于能够检测更广泛药物类别和分析物的分析方法。对各种常用药物和非处方药进行质谱分析,也可以应用药物相互作用 (DDI) 算法来检测药物不良反应。为了防止常见临床样本(如尿液)被掺假,干燥血斑 (DBS) 是一种可靠的替代方法。本研究描述了一种通过 HPLC-MS-MS 对 230 种母体药物、30 种非法药物和 43 种确认代谢物进行定性和定量多重分析的新方法。该方法适用于通过容量吸收微采样器采集的 DBS 标本,并可在尿液标本中得到确认。一个同时提供尿液标本和 DBS 的患者队列(n=67)在常规药物依从性分析中,通过检测母体药物及其代谢物,对确认的药物或非法药物的 100%阳性预测值。对另外 5508 份 DBS 标本(n=5575)进行筛查,与提供的药物清单相比,5428 份(97%)不一致阳性,29 份(0.5%)无药物清单且无意外阳性结果(一致阴性),22 份(0.4%)显示所有阳性结果与提供的药物清单一致(一致阳性)。应用于所有阳性结果的 DDI 算法显示,17%有严重 DDI 警告,56%有中度 DDI 警告。全面的 DBS 分析证明是一种可靠的替代尿液药物检测方法,用于扩展药物重整,并且具有检测药物相互作用的额外优势。

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