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Papers of the Week


Papers: 12 Oct 2024 - 18 Oct 2024


2024 Oct 16


Anesth Analg


39413034

Developing a Wearable Sensor-Based Digital Biomarker of Opioid Dependence.

Authors

Carreiro S, Ramanand P, Akram W, Stapp J, Chapman B, Smelson D, Indic P

Abstract

Repeated opioid exposure leads to a variety of physiologic adaptations that develop at different rates and may foreshadow risk of opioid-use disorder (OUD), including dependence and withdrawal. Digital pharmacovigilance strategies that use noninvasive sensors to identify physiologic adaptations to opioid use represent a novel strategy to facilitate safer opioid prescribing. This study aims to identify wearable sensor-derived features associated with opioid dependence by comparing opioid-naïve individuals to chronic opioid users with acute pain and developing a machine-learning model to distinguish between the 2 groups.