阿片类药物使用紊乱的数字生物标志物应用。

Cogent mental health Pub Date : 2023-01-01 Epub Date: 2023-08-01 DOI:10.1080/28324765.2023.2240375
Marc Rigatti, Brittany Chapman, Peter R Chai, David Smelson, Kavita Babu, Stephanie Carreiro
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引用次数: 0

摘要

阿片类药物使用障碍(OUD)是过去十年中最紧迫的公共卫生问题之一,仅 2021 年就有超过八万人死于药物过量。测量和应对疾病状态的数字技术包括体内和体外传感器。此类设备可用于检测和监控与相关事件、健康或病理相关的最终用户生理或行为测量值(即数字生物标记)。最近的研究表明,数字生物标记物有可能被用作预防、降低风险和治疗阿片类药物使用障碍(OUD)的工具。在使用阿片类药物的过程中会出现多种生理适应变化,这些变化是基于数字生物标志物的监测策略的潜在目标。本综述探讨了在阿片类药物使用过程中进行数字生物标记监测的现有证据(和潜力)。将对检测阿片类药物给药、戒断、超痛和用药过量的技术进行综述。在根据经验得出的算法的驱动下,这些技术对支持阿片类药物的安全处方、减少阿片类药物活跃使用者的伤害以及支持那些从 OUD 中康复的人具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.

Opioid use disorder (OUD) is one of the most pressing public health problems of the past decade, with over eighty thousand overdose related deaths in 2021 alone. Digital technologies to measure and respond to disease states encompass both on- and off-body sensors. Such devices can be used to detect and monitor end-user physiologic or behavioral measurements (i.e. digital biomarkers) that correlate with events of interest, health, or pathology. Recent work has demonstrated the potential of digital biomarkers to be used as a tools in the prevention, risk mitigation, and treatment of opioid use disorder (OUD). Multiple physiologic adaptations occur over the course of opioid use, and represent potential targets for digital biomarker based monitoring strategies. This review explores the current evidence (and potential) for digital biomarkers monitoring across the spectrum of opioid use. Technologies to detect opioid administration, withdrawal, hyperalgesia and overdose will be reviewed. Driven by empirically derived algorithms, these technologies have important implications for supporting the safe prescribing of opioids, reducing harm in active opioid users, and supporting those in recovery from OUD.

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