An automated portable system for detecting and treating opioid induced respiratory depression

用于检测和治疗阿片类药物引起的呼吸抑制的自动化便携式系统

• 批准号: 10592367
• 负责人: Feng Guo
• 金额: $ 127.81万
• 依托单位: TRUSTEES OF INDIANA UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10592367
• 关键词: Acoustics; Address; Anesthesiology; Animal Model; Blood; Brain Death; Brain Injuries; Breathing; Cells; Cellular Phone; Cessation of life; Classification; Clinical Data; Collaborations; Consumption; Data; Depressed mood; Detection; Devices; Dose; Engineering; Exercise; Expert Systems; Failure; Fentanyl; Heart Rate; Human; Individual; Injections; Intervention; Letters; Machine Learning; Medical; Medicine; Methods; Monitor; Morphologic artifacts; Motion; Mus; Naloxone; Needles; Opioid; Outcome; Overdose; Oxygen; Patients; Pattern; Physical activity; Physiological; Real-Time Systems; Research; Respiration; Sleep; System; Therapeutic; Therapeutic Uses; Time; Training; Variant; Ventilatory Depression; awake; clinical pain; convolutional neural network; detection platform; digital; dosage; human data; improved; innovation; machine learning algorithm; mouse model; novel; opioid overdose; portability; prescription opioid; prototype; respiratory; sensor; therapeutic opioid; therapeutic patch; translation to humans; translational applications; translational potential; user-friendly; wearable sensor technology

PROJECT SUMMARY Opioid overdoses caused almost 70,000 deaths in the US in the year ending in November 2020. Many of these occur during the therapeutic use of prescription opioids, particularly when consumption is erratic or among workers from certain professions. Despite the promotion of naloxone for opioid overdose, the effective rescue of an individual from an overdose during the therapeutic use of opioids is still very challenging for several reasons: (1) the onset of an opioid overdose may be very difficult for the patient or their associates to rapidly recognize; (2) the time between the onset of respiratory depression and irreversible brain damage or death is brief; leaving a brief time window to seek medical help and intervene; and (3) methods employed by self- or bystanders to treat an opioid overdose may not be available or are complicated for lay individuals to use. Thus, there is an urgent and unmet need for real-time detection and automated treatment of opioid overdose, even during the therapeutic use of opioids. The overall objective of this U01 application is to develop an automated portable system to detect and treat an opioid overdose in real time. The research team pursues engineering advances in developing wearable sensors for real-time tracking of multiple physiological parameters and therapeutic patches for precise transdermal delivery of naloxone, respectively. The proposed project will further develop wearable sensors to track the variation of physiological parameters (e.g., breathing pattern, blood oxygen level, and heart rate) for the real-time detection of an opioid overdose. The proposed project also aims to optimize novel acoustic patches to deliver naloxone for treating an opioid overdose. A closed-loop system will be established through integration of a wearable sensor, a therapeutic patch, a machine learning-based controller driven by a cell phone. The proposed system will be validated using a mouse model of opioid overdose well developed in the PI’s lab, and adapted for the potential translational applications in human patients. The ultimate product of this study is to construct a prototype system for real-time detection and automated treatment of an opioid overdose.

项目概要 截至 2020 年 11 月的一年中，阿片类药物过量导致美国近 70,000 人死亡。其中许多人死亡 发生在处方阿片类药物的治疗使用过程中，特别是当用量不稳定或在使用处方阿片类药物时 尽管提倡使用纳洛酮治疗阿片类药物过量，但仍能有效挽救某些职业的工人。 由于以下几个原因，在阿片类药物治疗期间过量服用的个体仍然非常具有挑战性： (1) 患者或其同伴可能很难迅速识别阿片类药物过量的发生； (2) 呼吸抑制发生与不可逆的脑损伤或死亡之间的时间很短； 寻求医疗帮助和干预的短暂时间窗口；以及 (3) 自我或旁观者采用的方法 治疗阿片类药物过量可能无法实现，或者对于非专业人士来说使用起来很复杂，因此，有一种方法。 即使在阿片类药物过量的情况下，对实时检测和自动治疗的迫切且未满足的需求 该 U01 应用程序的总体目标是开发一种自动化便携式药物。 实时检测和治疗阿片类药物过量的系统 该研究团队追求工程进步。 开发可穿戴传感器，用于实时跟踪多个生理参数和治疗贴片 分别用于纳洛酮的精确透皮输送。拟议的项目将进一步开发可穿戴设备。 传感器跟踪生理参数的变化（例如呼吸模式、血氧水平和心率） 率）用于实时检测阿片类药物过量该项目还旨在优化新型声学。 提供纳洛酮的贴剂用于治疗阿片类药物过量，将建立闭环系统。 集成了可穿戴传感器、治疗贴片、由手机驱动的基于机器学习的控制器。 所提出的系统将使用 PI 实验室开发的阿片类药物过量小鼠模型进行验证， 并适应人类患者的潜在转化应用这项研究的最终产品是。 构建一个实时检测和自动治疗阿片类药物过量的原型系统。