Ignite Creation Date:
2025-12-26 @ 5:19 PM
Ignite Modification Date:
2026-03-03 @ 2:20 PM
Study NCT ID:
NCT02308306
Status:
COMPLETED
Last Update Posted:
2016-05-12
First Post:
2014-12-02
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Predictive Markers of the Effects of Opioid Therapy
Sponsor:
University of Aarhus
Organization:
Study Overview
Official Title:
Predictive Markers of the Effects of Opioid Therapy in Opioid naïve Patients With Chronic Pain: an International, Multi-centre, Observational Cohort Study (ABILITY)
Status:
COMPLETED
Status Verified Date:
2016-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
ABILITY
Brief Summary:
The overall goal of the ABILITY study is to help improve pain diagnostics and treatment by developing an implementable clinical computerised decision support system based on individual patient characteristics.
The investigators hypothesize that successful pain control with opioids can be predicted before treatment initiation with advanced data analyses of data originating from pre-treatment EEG, QST and pain-related catastrophic thinking.
The primary objective of this study is the identification of markers that can be used to individualize treatment recommendations, i.e. to reliably predict the response of pain to opioids.
Markers are selected among the most promising data and machine-learning methods are used for the prediction. This includes determining the associations between a battery of selected pre-treatment clinical predictive markers and the analgesic effect of opioid treatment in opioid naïve chronic pain patients, including indication and responder identification.
The key secondary objectives are as follows: to investigate pre-treatment clinical predictive markers as predictors of opioid treatment efficacy and effectiveness in terms of the following:
* Pain intensity and unpleasantness
* Use of rescue analgesics
* Physical functioning
* Global improvement and satisfaction with treatment
The investigators hypothesize that successful pain control with opioids can be predicted before treatment initiation with advanced data analyses of data originating from pre-treatment EEG, QST and pain-related catastrophic thinking.
The primary objective of this study is the identification of markers that can be used to individualize treatment recommendations, i.e. to reliably predict the response of pain to opioids.
Markers are selected among the most promising data and machine-learning methods are used for the prediction. This includes determining the associations between a battery of selected pre-treatment clinical predictive markers and the analgesic effect of opioid treatment in opioid naïve chronic pain patients, including indication and responder identification.
The key secondary objectives are as follows: to investigate pre-treatment clinical predictive markers as predictors of opioid treatment efficacy and effectiveness in terms of the following:
* Pain intensity and unpleasantness
* Use of rescue analgesics
* Physical functioning
* Global improvement and satisfaction with treatment
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: