- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05612399
Precision Analgesia for Cardiac Surgery
Precision Perioperative Methadone Use in Adult Cardiac Surgical Patients to Reduce Opioid Use Adverse Effects While Improving Analgesia and Outcomes
Study Overview
Status
Conditions
Detailed Description
Cardiac surgery patients often experience significant acute postoperative pain, and untreated or undertreated pain has consequences. Each year, 900,000 painful cardiac surgeries occur in the US alone. Pain associated with cardiac surgery results from surgical incision, sternal retraction, internal mammary artery harvesting, saphenous vein removal, placement of mediastinal and chest drains, sternal wires, and release of pro-inflammatory mediators after tissue injury. One study reported that 49%, 62%, and 78% of patients reported severe pain at rest, movement, and coughing, respectively after coronary artery bypass surgery (CABG). Another study showed that 61.4% of patients undergoing cardiac surgery reported moderate to severe pain. Inadequate pain treatment is common in cardiac surgery due to health care providers' fears of causing cardiorespiratory compromise. Poor pain control can trigger sympathoadrenal responses leading to cardiac arrhythmias and myocardial ischemia, restrict mobility to cause venous thrombosis, impair clearance of secretions leading to pulmonary complications such as atelectasis and pneumonia, decrease patient satisfaction and predispose to the development of chronic, persistent surgical pain (CPSP).
Improving clinical practice by shifting paradigms: Our research is transformative and will evolve current reactive clinical practice towards proactive precision methods based on genetic risks for surgical pain and ORADE in elderly vulnerable population. This is the first effort to move in the direction of personalizing perioperative opioid use with precise dosing to improve safety and efficacy in cardiac surgery. Preoperative genotyping-based clinical decisions are expected to support clinical implementation in real-world settings. Importantly, investigators will be able to reach beyond the current best-in-class outcomes with precision multi-dose methadone analgesia based on proactive genetic risk identification to maximize safety and efficacy of opioids in all cardiac surgical patients and positively impact socio-economic outcomes in the future. By addressing these critical barriers, this research will help physicians identify patients at risk and improve the safety and efficacy of opioids and surgical pain management while preventing OD, misuse, overdose, and deaths.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Alisha Maslanka, BS, CCRC
- Phone Number: 412-864-6779
- Email: maslankaaa@upmc.edu
Study Contact Backup
- Name: Carly Riedmann, BS
- Phone Number: 412-623-4147
- Email: riedmannca@upmc.edu
Study Locations
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Pennsylvania
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Pittsburgh, Pennsylvania, United States, 15213
- UPMC Presbyterian Hospital
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Contact:
- Amy Monroe, MPH, MBA
- Phone Number: 412-623-6382
- Email: monroeal@upmc.edu
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Contact:
- Kathirvel Subramaniam, MD, MPH
- Email: subramaniamk@upmc.edu
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Elderly cardiac surgical patients over 60 years of age
Exclusion Criteria:
- Methadone allergy
- Morbid obesity (BMI >40kg/cm2)
- Severe sleep apnea
- Severe pulmonary disease requiring oxygen therapy
- Preoperative mechanical circulatory support
- Emergency surgery
- Liver disease (liver enzymes more than two times normal)
- End-stage renal disease requiring dialysis
- Serum creatinine more than 2.0mg
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Determine Genetic Factors - Opioid Related Adverse Events (RD)
Time Frame: Immediately post-surgery during hospital stay
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Respiratory depression will be measured with binary yes/no responses obtained either via self-report from the patient or reported by the clinical care staff.
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Immediately post-surgery during hospital stay
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Determine Genetic Factors - Opioid Related Adverse Events (PONV)
Time Frame: Immediately post-surgery during hospital stay
|
Post-operative nausea and vomiting will be measured with binary yes/no responses obtained either via self-report from the patient or reported by the clinical care staff.
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Immediately post-surgery during hospital stay
|
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Determine Genetic Factors - Opioid Related Adverse Events (Excessive Sedation)
Time Frame: Immediately post-surgery during hospital stay
|
Excessive sedation will be measured with binary yes/no responses obtained either via self-report from the patient or reported by the clinical care staff.
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Immediately post-surgery during hospital stay
|
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Determine Genetic Factors - Uncontrolled severe pain
Time Frame: Immediately post-surgery during hospital stay
|
We postulate that specific CYP2B6, ABCB1, OPRM1, FAAH, and ORM1 genetic variants identify patients at risk for poor pain relief and ORADE with methadone in the immediate post-surgical period.
Pain will be measured by the Numerical Rating Scale (NRS) in which 0 = no pain at all and 10 = worst pain imaginable.
This will be self-reported responses by the patient.
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Immediately post-surgery during hospital stay
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Opioid use post-operatively
Time Frame: Post-operative Day 5 to 6-months post-operative
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Opioid usage will be recorded via SOAPP-R, a 24-item validated opioid assessment.
A score of 18 or higher is considered positive.
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Post-operative Day 5 to 6-months post-operative
|
|
Patient-Reported Outcomes Measurement Information System
Time Frame: Post-operative Day 5 to 6-months post-operative
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The PROMIS-29 v2.0 will be collected for this outcome measure.
The PROMIS survey is scored by the following T-Score Cut Points: 20-55 = better health, 55-60 = mild, 61-69 = moderate, and 71+ = worse health.
The general population mean = 50 (SD = 10).
|
Post-operative Day 5 to 6-months post-operative
|
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Incidence of Chronic Persistent Surgical Pain (CPSP)
Time Frame: Post-operative Day 5 to 6-months post-operative
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CPSP will be obtained via patient-self report as yes/no responses for follow-up assessments.
This measure will be reported as mean(SD) for positive CPSP subjects.
|
Post-operative Day 5 to 6-months post-operative
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Kathirvel Subramaniam, MD, MPH, University of Pittsburgh
- Study Director: Amy Monroe, MPH, MBA, University of Pittsburgh
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY22060101
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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