- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05259865
Pharmacogenetic Testing and Chronic Pain
The Utility of Genetic Testing in Predicting Drug Response in Chronic Pain
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Understanding the impact of genetics could aid rational, precision drug choices. In the current study, investigators will focus on whether genetic analysis of drug processing using the Inagene platform could predict efficacy and side effect profile in patients prescribed medication for pain. In the investigator's clinic commonly employed medications included nortriptyline, duloxetine, topiramate, gabapentin, pregabalin, opioids (morphine derivatives, tramadol, tapentadol, buprenorphine patch), cesamet (a synthetic cannabinoid). To the investigator's knowledge this type of study has not been completed in this environment and/or patient population.
Research Objectives:
The main goal of this study is to determine whether genetic analysis of drug processing could help predict efficacy and side effect profiles of medications in a cohort of patients suffering from chronic pain.
In order to control for various clinical factors, patient reported outcomes will also be collected. As a standard part of any patient intake, pain diagrams, measures of pain, function, mental health status and exercise describe the conditions and relative impact will be included. Investigators will include various standardized and/or adapted versions of other questionnaires which will allow investigators to control for known confounders.
The following information will be collected at baseline
- Demographics - age, gender, rank, working status, medical category
Patient Reported Outcomes at baseline (Appendix A)
- Body Pain Diagram
- Pain, Enjoyment and General Activity Scale (PEG)
- Pain Disability Index
- Hospital Anxiety and Depressions Scale (HADS)
- Adapted Deployment Risk & Resilience Inventory 2 Section J: Unit Support Exercise Questionnaire
- Brief Trauma Questionnaire (BTQ)
- Litigation Status
The following information will be collected at follow up, defined by discontinuation of medication or continuation on medication associated with predefined measure of clinical efficacy
- Medication Efficacy and Side effect Form - for each prescribed medication noted perceived efficacy, severity of side effects and general comments. This will be completed at either the time of medication discontinuation, or when no further changes to dosing is made.
- Previous medication taken (Appendix B) - investigators will look specifically at commonly prescribed pain medications, including: nortriptyline, duloxetine, topiramate, gabapentin, pregabalin, opioids (ie morphine derivatives, tramadol, tapentadol, buprenorphine patch), Cesamet and plant based cannabis. If necessary, the patient's health record will be accessed to complete this record
- Current medications
- Smoking status and total starting/current dose
Clinical efficacy will be defined by achieving 5-8 on the Patient Global Impression of Change scale (PGIC). Medication selection will be done in accordance with current standard of care, patient informed consent and clinical experience. Prescription of medication will not be directed by the results of the genetics analytics. Doses will be adjusted if side effects permit and until clinical efficacy is achieved
Classification of inferred phenotypes (i.e. ultrarapid, normal, intermediate and poor metabolizer) will be consistent with the recently published guidance for allele function status. As noted, there are four possible scores for each tested medication, ranging from 1-4, which includes; 1) do not use 2) caution 3) use as directed 4) preferred. For the main analysis, the phenotypes will be grouped 1&2 (do not prescribe) and 3&4 (prescribe) and compared against whether patient responded or not to determine sensitivity and specificity of the genetic testing. Sub-analysis will determine for those that did not respond and whether this was a result of side effects or a lack of efficacy. From a functional standpoint for each recommendation the pharmacogenetics testing will classified into green (prescribe), yellow (caution), red (do no prescribe). All yellow outcomes will be reviewed to determine if the clinical information (ie dosing, smoking, and/or current medications), could allow for re-classification to a green or red recommendation for the purpose of the analysis.
The distribution of the prediction score will also be separately evaluated for medications actively taken by participants and for medications that had been discontinued. The distribution of prediction scores will be compared using ANOVA. Genetic prediction scores will be separately compared against participants reported efficacy and side effects profile using Spearman's correlation coefficient, and the respective p values will be calculated, and corrected for multiple comparison
Patient Care:
Participation in the current study will not impact patient care or impact decision making regarding medication. Each patient is simply evaluating the effects of the medications so that we can compare their experiences with the predictive abilities of genetic prediction score.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
-
Ontario
-
Ottawa, Ontario, Canada, K1J6L4
- Canadian Forces Health Services Centre
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- male and female between 18 and 60 years old
- seen within the CFO-P
- diagnosed by a physician with one or more chronic pain condition.
Exclusion Criteria:
- adults who are unable to give their own consent
- contraindications to a buccal swab
- uncontrolled mental health issues determined by clinical judgement without mental health treatment and/or presence of active suicidal ideation
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Patients with chronic pain
Patients seen in clinic agreeing to participate in trial by completing clinical questionnaires and genetic testing
|
There is interest in whether genetic analysis of how a given drug is processed for a patient can help with rational drug choices (i.e. most efficacious, with least side effects/interactions, in the fastest time). This appears to have some early support in cardiac, psychiatric and acute pain studies. All participants enrolled in the study will provide consent and a buccal cell sample for genotyping and standard patient reported outcomes questionnaires at the beginning of the study. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity and Specificity of PGx testing for pain response
Time Frame: up to 8 weeks post initial medication prescription
|
For the main analysis, the phenotypes will be grouped 1&2 (do not prescribe) and 3&4 (prescribe) and compared against whether patient responded or not to determine sensitivity and specificity of the genetic testing.
Sub-analysis will determine for those that did not respond and whether this was a result of side effects or a lack of efficacy
|
up to 8 weeks post initial medication prescription
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity and Specificity of PGx testing for side effects
Time Frame: up to 8 weeks post initial medication prescription
|
For the main analysis, the phenotypes will be grouped 1&2 (do not prescribe) and 3&4 (prescribe) and compared against whether patient responded or not to determine sensitivity and specificity of the genetic testing.
Sub-analysis will determine for those that did not respond and whether this was a result of side effects or a lack of efficacy
|
up to 8 weeks post initial medication prescription
|
Collaborators and Investigators
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 (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2020-043
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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