Developing novel technologies to monitor nociception and opioid administration during surgery and general anesthesia in order to minimize post-operative opioid requirements

开发新技术来监测手术和全身麻醉期间的伤害感受和阿片类药物的给药,以尽量减少术后阿片类药物的需求

基本信息

  • 批准号:
    10654060
  • 负责人:
  • 金额:
    $ 98.18万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-15 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY In light of the opioid crises, minimizing postoperative pain and postoperative opioid requirements to reduce chronic opioid dependency among surgical patients have become major concerns for surgeons and anesthesiologists. Effective intraoperative nociception control can mitigate these concerns. Unfortunately, existing nociceptive monitoring tools use indicators that are inherently susceptible to intraoperative influences. Monitoring these indicators often lead to suboptimal intraoperative opioid administration, since there is no way to account for whether these measures are being influenced by nociception or numerous other intraoperative factors such as blood loss, anesthetic drugs and antihypertensives. Therefore, improved methods to monitor surgical nociception are clearly needed. In short, currently available nociceptive monitors measure unreliable indicators and predispose surgical patients to suboptimal opioid dosing administration leading to ineffective intraoperative control. The consequences for surgical patients can be significant, since increased postoperative pain and opioid requirements is associated with increased incidence of opioid dependency. This project proposes to develop a state-of-the-art sensors, algorithms, and prospective observational data to construct an integrated measure of nociceptive control based on autonomic (EDA) and neurophysiologic markers of arousal and nociception (EEG-based arousal and opioid signatures).
项目概要 鉴于阿片类药物危机,尽量减少术后疼痛和术后阿片类药物需求量,以减少 手术患者的慢性阿片类药物依赖已成为外科医生和患者的主要关注点 麻醉师。有效的术中伤害感受控制可以减轻这些担忧。很遗憾, 现有的伤害性监测工具使用的指标本身就容易受到术中影响。 监测这些指标通常会导致术中阿片类药物给药不理想,因为没有办法 解释这些措施是否受到伤害感受或许多其他术中的影响 失血、麻醉药物和抗高血压药物等因素。因此,改进监测方法 显然需要手术伤害感受。简而言之,目前可用的伤害性监测仪测量不可靠 指标并使手术患者容易接受次优的阿片类药物剂量管理,从而导致无效 术中控制。对于手术患者来说,后果可能很严重,因为术后增加 疼痛和阿片类药物的需求与阿片类药物依赖发生率的增加有关。这个项目 提议开发最先进的传感器、算法和前瞻性观测数据来构建 基于自主神经 (EDA) 和唤醒的神经生理学标记的伤害性控制的综合测量 和伤害感受(基于脑电图的唤醒和阿片类药物特征)。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Association of Intraoperative Opioid Administration With Postoperative Pain and Opioid Use.
  • DOI:
    10.1001/jamasurg.2023.2009
  • 发表时间:
    2023-08-01
  • 期刊:
  • 影响因子:
    16.9
  • 作者:
    Mercado, Laura A. Santa Cruz A.;Liu, Ran;Bharadwaj, Kishore M.;Johnson, Jasmine J.;Gutierrez, Rodrigo;Das, Proloy;Balanza, Gustavo;Deng, Hao;Pandit, Akriti;Stone, Tom A. D.;Macdonald, Teresa;Horgan, Caroline;Tou, Si Long (Jenny);Houle, Timothy T.;Bittner, Edward A.;Purdon, Patrick L.
  • 通讯作者:
    Purdon, Patrick L.
Development and prospective validation of postoperative pain prediction from preoperative EHR data using attention-based set embeddings.
  • DOI:
    10.1038/s41746-023-00947-z
  • 发表时间:
    2023-11-16
  • 期刊:
  • 影响因子:
    15.2
  • 作者:
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Tuan Le Mau其他文献

Tuan Le Mau的其他文献

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{{ truncateString('Tuan Le Mau', 18)}}的其他基金

Developing Active Stimulation and Monitoring Technologies to Optimize Pain and Nociception Management During Regional Anesthesia, General Anesthesia, and Post-Operative Care
开发主动刺激和监测技术,以优化区域麻醉、全身麻醉和术后护理期间的疼痛和伤害感受管理
  • 批准号:
    10604993
  • 财政年份:
    2023
  • 资助金额:
    $ 98.18万
  • 项目类别:
Developing a novel system combining cognitive assessment with PASCALL FDA-cleared intraoperative anesthesia EEG brain monitor to prevent postoperative neurocognitive disorders in aging patients
开发一种将认知评估与 FDA 批准的 PASCALL 术中麻醉脑电图脑监测仪相结合的新型系统,以预防老年患者术后神经认知障碍
  • 批准号:
    10760816
  • 财政年份:
    2023
  • 资助金额:
    $ 98.18万
  • 项目类别:
Personalized anesthetic brain monitoring: Developing novel systems, sensors, and algorithms for aging, dementia, and Alzheimers disease patients
个性化麻醉大脑监测:为衰老、痴呆和阿尔茨海默病患者开发新型系统、传感器和算法
  • 批准号:
    10360566
  • 财政年份:
    2021
  • 资助金额:
    $ 98.18万
  • 项目类别:
Personalized anesthetic brain monitoring: Developing novel systems, sensors, and algorithms for aging, dementia, and Alzheimers disease patients
个性化麻醉大脑监测:为衰老、痴呆和阿尔茨海默病患者开发新型系统、传感器和算法
  • 批准号:
    10303200
  • 财政年份:
    2021
  • 资助金额:
    $ 98.18万
  • 项目类别:
Developing novel technologies to monitor nociception and opioid administration during surgery and general anesthesia in order to minimize post-operative opioid requirements
开发新技术来监测手术和全身麻醉期间的伤害感受和阿片类药物的给药,以尽量减少术后阿片类药物的需求
  • 批准号:
    10595838
  • 财政年份:
    2020
  • 资助金额:
    $ 98.18万
  • 项目类别:
Developing novel technologies to monitor nociception and opioid administration during surgery and general anesthesia in order to minimize post-operative opioid requirements
开发新技术来监测手术和全身麻醉期间的伤害感受和阿片类药物的给药,以尽量减少术后阿片类药物的需求
  • 批准号:
    10157621
  • 财政年份:
    2020
  • 资助金额:
    $ 98.18万
  • 项目类别:
Personalized anesthetic brain monitoring: Developing novel systems, sensors, and algorithms for aging, dementia, and Alzheimers disease patients
个性化麻醉大脑监测:为衰老、痴呆和阿尔茨海默病患者开发新型系统、传感器和算法
  • 批准号:
    9909360
  • 财政年份:
    2020
  • 资助金额:
    $ 98.18万
  • 项目类别:

相似海外基金

Developing a novel system combining cognitive assessment with PASCALL FDA-cleared intraoperative anesthesia EEG brain monitor to prevent postoperative neurocognitive disorders in aging patients
开发一种将认知评估与 FDA 批准的 PASCALL 术中麻醉脑电图脑监测仪相结合的新型系统,以预防老年患者术后神经认知障碍
  • 批准号:
    10760816
  • 财政年份:
    2023
  • 资助金额:
    $ 98.18万
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Non-invasive measurements of central blood pressures by RF sensors
通过射频传感器无创测量中心血压
  • 批准号:
    10649077
  • 财政年份:
    2023
  • 资助金额:
    $ 98.18万
  • 项目类别:
Next Generation Pediatric Neuroimaging (NGPN) Feasibility
下一代儿科神经影像 (NGPN) 可行性
  • 批准号:
    10599539
  • 财政年份:
    2022
  • 资助金额:
    $ 98.18万
  • 项目类别:
Non-Human Primate Model for Developing Closed-Loop Anesthesia Delivery Systems
用于开发闭环麻醉输送系统的非人类灵长类动物模型
  • 批准号:
    10610946
  • 财政年份:
    2022
  • 资助金额:
    $ 98.18万
  • 项目类别:
Non-Human Primate Model for Developing Closed-Loop Anesthesia Delivery Systems
用于开发闭环麻醉输送系统的非人类灵长类动物模型
  • 批准号:
    10445654
  • 财政年份:
    2022
  • 资助金额:
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