- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04896827
DNIC Using Deep Learning and Artificial Intelligence
Reference Values and Clinical Screening Test of Diffuse Noxious Inhibitory Controls (DNIC) Using Deep Learning and Artificial Intelligence
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This study aims:
- To develop and validate a predictive tool (using deep learning and artificial intelligence) to estimate the efficacy of pain control mechanisms.
- To estimate references values for facial expressions of pain control mechanisms in healthy and in chronic pain participants.
The target population will be healthy volunteers and volunteers with chronic pain, male and female, stratified by age.
The reference values (healthy volunteers) will be established via a non-parametric method for a standard conditioned pain modulation (CPM) protocol in which two "stimuli tests" of the same intensity and nature (heat) will be applied before and after the application of another "conditioning stimulus" (cold water bath). The perceived pain difference between the 1st and 2nd stimuli tests will reflect the intensity of the DNICs. Participants' facial expressions will be captured simultaneously by three cameras during the CPM testing.
These results will be compared to those from volunteers suffering with chronic pain. The clinical decision rule will result from clinical and paraclinical elements correlating with the amplitude of the efficacy of CPM (serum noradrenaline, intensity of pain, heart rate and blood pressure measurements, psychometric questionnaires assessing anxiety, depressive feelings and pain catastrophizing). Logistic regression analysis will determine the best predictors of a CPM deficit.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
-
Quebec
-
Sherbrooke, Quebec, Canada, J1H 5N4
- Université de Sherbrooke
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Healthy participants
Inclusion Criteria:
- 18-79 years old
- No chronic pain
- Able to provide consent
Exclusion Criteria:
- Cardiovascular disease (arrhythmia, cerebrovascular accident, infarction...)
- Raynaud syndrome
- Severe psychiatric disease (dementia, schizophrenia, psychosis, major depression)
- Injuries or loss sensitivity to their forearms or hands
- Pregnant women or in post-partum period (<1 year)
Participants with chronic pain
Inclusion Criteria:
- 18-79 years old
- Chronic pain (chronic pain is defined by any regular pain for more than 6 months)
- Able to provide consent
Exclusion Criteria:
- Cardiovascular disease (arrhythmia, cerebrovascular accident, infarction...)
- Raynaud syndrome
- Severe psychiatric disease (dementia, schizophrenia, psychosis, major depression)
- Injuries or loss sensitivity to their forearms or hands
- Pregnant women or in post-partum period (<1 year)
- Chronic pain caused by cancer or migraine
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Chronic pain
Patients with chronic pain (n=100)
|
Conditioned pain modulation (CPM) protocol consist of evaluating pain during a heat test, before and after one conditioning stimulus (cold water bath); 3 cameras will be capturing participants' facial expressions during the tests.
|
Healthy participants
Healthy participants (n=144)
|
Conditioned pain modulation (CPM) protocol consist of evaluating pain during a heat test, before and after one conditioning stimulus (cold water bath); 3 cameras will be capturing participants' facial expressions during the tests.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Conditioned pain modulation (CPM) profiles
Time Frame: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)
|
Sensitivity and specificity of the classification algorithm according to different profiles (normal vs altered) of conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] in healthy and in chronic pain volunteers together.
|
Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)
|
Temporal summation profiles
Time Frame: Once, at baseline, at recruitment (during the first stimuli test)
|
Sensitivity and specificity of the classification algorithm according to different profiles (normal vs altered) of temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] in healthy and in chronic pain volunteers together.
|
Once, at baseline, at recruitment (during the first stimuli test)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Conditioned pain modulation (CPM) profiles of healthy volunteers
Time Frame: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli
|
Conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in healthy volunteers.
|
Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli
|
Temporal summation profiles of healthy volunteers
Time Frame: Once, at baseline, at recruitment (during the first stimuli test)
|
Temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in healthy volunteers.
|
Once, at baseline, at recruitment (during the first stimuli test)
|
Conditioned pain modulation (CPM) profiles of volunteers with chronic pain
Time Frame: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)
|
Conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in volunteers with chronic pain.
|
Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)
|
Temporal summation profiles of volunteers with chronic pain
Time Frame: Once, at baseline, at recruitment (during the first stimuli test)
|
Temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in volunteers with chronic pain.
|
Once, at baseline, at recruitment (during the first stimuli test)
|
Demographic factors
Time Frame: Once, at baseline, at recruitment
|
Association of demographic factors (age, gender) with different response profiles of CPM and temporal summation established by the algorithm.
|
Once, at baseline, at recruitment
|
Psychologic factors
Time Frame: Once, at baseline, at recruitment
|
Association of psychologic factors (anxiety measured with HADS questionnaire) with different response profiles of CPM and temporal summation established by the algorithm.
|
Once, at baseline, at recruitment
|
Physiologic factors
Time Frame: Once, at baseline, at recruitment
|
Association of physiologic factors (continuous blood pressure, heart rate, electrodermal activity) with different response profiles of CPM and temporal summation established by the algorithm.
|
Once, at baseline, at recruitment
|
Facial expressions and postures
Time Frame: Once, at baseline, at recruitment
|
Association of facial expressions and postures with different response profiles of CPM and temporal summation established by the algorithm.
|
Once, at baseline, at recruitment
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Guillaume Léonard, PhD, Université de Sherbrooke
Study record dates
Study Major Dates
Study Start (Actual)
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
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2021-4227
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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