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

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 4R42DA053075-02
Agency Tracking Number: R42DA053075
Amount: $1,976,676.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: NIDA
Solicitation Number: DA19-020
Solicitation Year: 2019
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-07-01
Award End Date (Contract End Date): 2025-06-30
Small Business Information
Boston, MA 02114-1722
United States
DUNS: 116842769
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 (617) 982-4274
Business Contact
Phone: (617) 970-6739
Research Institution
BOSTON, MA 02114-2621
United States

 Domestic Nonprofit Research Organization

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).

* Information listed above is at the time of submission. *

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