Personalized Postoperative Pain Management Following Thoracic Surgery in Adults
NCT ID: NCT05525923
Last Updated: 2025-05-01
Study Results
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Basic Information
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RECRUITING
200 participants
OBSERVATIONAL
2023-11-30
2028-03-01
Brief Summary
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Detailed Description
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Opioids are still an important part of managing surgical pain following TS. Postoperative pain following TS is often excruciating and challenging to treat as it provokes nociceptive, neuropathic and spasmodic muscle pain. Current standardized ERAS multimodal analgesic approaches include non-opioid analgesics to minimize opioids during and after surgery. While ERAS protocols have reduced immediate perioperative opioid use, they follow a "one size fits all" trial-and-error reactive standardized practice, and at risk patients continue to experience uncontrolled pain, CPSP, costly opioid AEs and persistent opioid use.
High inter-individual variations in response to opioids can be explained by genetics, yet translational barriers prevent widespread adoption of genotype-guided care: Our many studies on genetic predictors of postoperative pain and opioid-related AEs, and published literature from other researchers demonstrate that genetic and clinical factors are associated with inter-individual variations in surgical pain and opioid AEs. Personalized care based on validated and actionable polygenic and modifiable clinical risk factors (e.g., anxiety, depression, catastrophizing, poorly controlled acute postoperative pain) can transform and enhance post-TS pain and opioid management. Thus, there is an urgent and unmet need for a highly reliable preoperative tool to predict and prevent severe pain, CPSP and opioid-related AEs.
Inadequate acute postoperative pain management predisposes patients to the development of CPSP and contributes to opioid dependence (OD), opioid misuse, and loss of productivity in society. Opioids are continued after discharge in 76.4% of patients, with a median discharge prescription of 150 mg oral morphine equivalents. More than a third of thoracic surgical patients develop CPSP at 3 months after surgery and poor postoperative pain control predicts both incidence and severity of CPSP. Patients who develop CPSP have a high life-long risk of opioid use and misuse contributing to addiction, and overdose deaths.
Poorly controlled surgical pain, excessive opioid use, and CPSP lead to postoperative neurocognitive disorders including delirium, postoperative cognitive dysfunction (POCD), and dementia. Delirium is detected during hospitalization and neurocognitive decline lasting longer (\>30 days) is described as POCD. Untreated pain and excessive perioperative opioids increase the risk of delirium and POCD in elderly individuals. A population-level Health and Retirement study of 10,065 patients \>62 years old showed CPSP is common and was associated with accelerated memory decline and increased probability of dementia.
Both poorly controlled pain and excess opioid use predispose elderly surgical patients to postoperative delirium, POCD and dementia. New persistent opioid use is a significant public health problem in elderly surgical patients.
The OpalGenix Solution: GPS-Analgesics. As a Global Positioning System (GPS) helps chart a course in unknown/unfamiliar terrain, GPS-Analgesics TM (Genotype-guided Physician Support for Analgesics Use) is designed to support physicians to proactively identify patients genetically predisposed to high risks for severe surgical pain, CPSP and opioid AEs. In this Phase I proposal, OpalGenix will build on our prior studies to develop and validate GPS-Analgesics in TS patients. We have extensively and prospectively studied \~2000 patients undergoing painful surgeries and demonstrated that the high individual variation observed in responses to surgical pain and opioids can be explained by a combination of polygenetic and clinical factors. Specifically, inter-individual surgical pain, and opioid variability were partly and independently explained by specific polymorphisms of the genes ABCB123, OPRM143, CYP2B6110, ABCC351,52, FAAH22, COMT53 and OCT151. However, these single-gene associations independently explain only a small (5-15%) portion of inter-individual variability in pain- and opioid responses. GPS-Analgesics is a novel combinatorial pharmacogenetic polygenetic tool with high accuracy (\>90%) integrating clinical risk factors to better explain the cumulative effects (\>90%) of both polygenetic (50-60%) and clinical (40-50%) risk factors on surgical pain and analgesics responses. OpalGenix's novel prototype predictive software algorithm based on patented polygenic risks already has \>80% predictivity. At the end of this Phase I, GPS-Analgesics will provide \>90% high accuracy, evidence-based, personalized surgical pain while avoiding opioid-related AEs.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* American Society of Anesthesiologists (ASA) Physical Status 1, 2, 3
* Undergoing thoracic surgery (TS; pneumonectomy, lobectomy and segmentectomy)
Exclusion Criteria
* Pregnant women
* American Society of Anesthesiologists (ASA) Physical Status 4 or above
* Non-English speaking
* Outpatient surgery
* Concomitant additional surgical procedures
* Significant liver and kidney dysfunction
* Significant cardiorespiratory compromise
* Patients with polysubstance use (e.g., cocaine, marijuana, amphetamine, etc.)
18 Years
99 Years
ALL
No
Sponsors
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OpalGenix, Inc
INDUSTRY
Responsible Party
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Principal Investigators
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Kathirvel Subramaniam, MD, MPH
Role: PRINCIPAL_INVESTIGATOR
University of Pittsburgh
Locations
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UPMC Presbyterian Hospital
Pittsburgh, Pennsylvania, United States
UPMC Mercy Hospital
Pittsburgh, Pennsylvania, United States
UPMC Shadyside Hospital
Pittsburgh, Pennsylvania, United States
UPMC Passavant Hospital
Pittsburgh, Pennsylvania, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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STUDY22070047
Identifier Type: -
Identifier Source: org_study_id
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