NCT06723379

Genetics of Cytochrome CYP2D6 and Effects of Codeine and Tramadol on Postoperative Pain Management

A Genetic Survey of Cytochrome P450 2D6 Genotypes by Nanopore DNA Sequencing and Clinical Response to Codeine and Tramadol in Postoperative Pain Management

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 22 (actual)
• Sponsor: Fraser Health · Academic / Other
• Sex: All
• Age: 18 Years – 55 Years
• Healthy volunteers: Accepted

Summary

Codeine is one of the most commonly prescribed opioids in the world. The speed at which our liver metabolizes codeine into morphine depends on an important protein called cytochrome P450 2D6 (CYP2D6). Many people across the world have different CYP2D6 metabolizing speeds. Codeine provides inadequate pain management to those who have slow-metabolizing CYP2D6. In contrast, codeine can be life-threatening to those who have rapidly-metabolizing CYP2D6 because of the abruptly high dose of morphine. By analyzing specific genes, we are able to predict a patient's response to medication, thus drug type and dosing can be tailored according to their genetics. The purpose of this study is to observe if nanopore CYP2D6 DNA genetic sequencing can classify patients according to their CYP2D6 phenotype and thus predict their response to codeine and tramadol. The overall project is to determine the practicality of a genetic survey of CYP2D6 for healthy patients undergoing surgical procedures.

Detailed description

PURPOSE: The purpose of this study is to investigate if genetic variants of CYP2D6 are a predictive factor for postoperative pain management with conventional codeine and tramadol pain therapy. With CYP2D6 DNA analysis, we hope to be able to correlate a patients' genetics and their physiological response to conventional codeine and tramadol dosing. RESEARCH QUESTION: Is CYP2D6 metabolizer status a predictive factor for the effectiveness of postoperative pain management with conventional pain therapy doses of codeine and tramadol? HYPOTHESIS: Our hypothesis is that patients with known rapid metabolizing CYP2D6 variants will have higher incidences of opioid side effects with conventional opioid dosing. On the other hand, patients with known poor-metabolizing CYP2D6 variants will have inadequate pain management with conventional opioid dosing. JUSTIFICATION: Understanding the relationship between CYP2D6 variants and conventional opioid dosing in a clinical setting will facilitate future studies that investigate personalized dosing in order to improve pain management and reduce risk of opioid side effects. OBJECTIVES: The primary objective of this study is to determine the practicality of undertaking a medium-scale genetic survey of CYP2D6 for healthy patients undergoing surgical procedures. Secondary objectives include: investigate the feasibility of characterizing CYP2D6 genetic variants into one of four metabolizer groups, investigate if there is a distinguishable pattern between CYP2D6 metabolizer status and postoperative pain management quality with conventional pain therapy dosages such as codeine and tramadol, investigate if there is a distinguishable pattern between CYP2D6 metabolizer status and the presence of opioid side effects with conventional pain therapy dosages such as codeine and tramadol, to raise awareness of the clinical relevance of CYP2D6 variants on codeine and tramadol metabolism as well as the complications that arise from conventional, non-personalized pain management. RESEARCH DESIGN: Prospective observational feasibility study of healthy elective surgical patients. Projected enrolment up to 50 participants. All participants receive standardized anesthetic with weight based dosing of opiates. Data collected will include: 2-3 ml blood sample taken prior to surgery under general anesthesia, DNA sequencing and genotype identification, chart review during post-operative care unit stay (PACU), and a survey administered by phone 24 after discharge from the PACU. STATISTICAL ANALYSIS: Given the exploratory nature of this feasibility study and small convenience sample size, data will be summarized using descriptive statistics for most outcome variables. If possible, nonparametric statistical tests may be performed to look at associations between genetic variant and outcomes and differences between the groups.

Conditions

• Post-operative Pain

Timeline

• Start date: 2022-11-25
• Primary completion: 2024-07-10
• Completion: 2024-12-01
• First posted: 2024-12-09
• Last updated: 2024-12-09

Locations

1 site across 1 country: Canada