Imaging Pain Relief in Osteoarthritis (IPRO)

November 23, 2017 updated by: University of Nottingham

Functional Brain Imaging to Understand the Mechanisms of Pain Relief in Knee Osteoarthritis

Osteoarthritis (OA) is a degenerative joint disease and is the most common form of arthritis. Pain reduction and functional recovery are the key elements of the clinical management of OA. Current treatment guidelines recommend a combination of pharmacological and non-pharmacological treatments. However, these are not always effective, with nearly 20% of patients not responding to any standard therapy, including joint replacement.

The mechanisms of pain relief are not well understood and are complicated by the remarkably large placebo effect, and inter-individual variation. There is no objective criteria for predicting whether a patient will respond to a given treatment

Duloxetine, an antidepressant drug, has proven effectiveness in various chronic pain syndromes including knee OA. The effect is however limited and only clinically relevant in around half of the trial patients. Importantly, it is currently unclear how and in whom duloxetine alleviates chronic pain.

Advanced MRI techniques use strong magnetic fields and radio frequency signals to generate metabolic, anatomical and functional brain images (fMRI).

Remifentanil is a potent analgesic agent whose analgesic effect has been well characterised in healthy volunteers, including fMRI studies showing modulation of activation of regions in the brain related to pain processing. Nevertheless, the neural correlates of remifentanil effects have not yet been investigated in chronic pain patients.

The aim of this research is to use a combination of multimodal MRI, genetic and psychometric assessments to identify the mechanisms of pain relief in knee OA patients, following treatments with duloxetine and remifentanil, in a placebo controlled condition. With this we also aim to identify genetic, anatomical and brain activity predictors of treatment outcomes.

The main hypotheses are:

  • Analgesic response to duloxetine treatment can be predicted using a range of baseline brain imaging markers and QST.
  • Analgesic response to duloxetine is mediated by modulation of neural networks underpinning emotional control.
  • Duloxetine-induced changes in brain activation differ between responders and non-responders.

This study is expected to last for two years. It is funded by Arthritis Research United Kingdom and forms part of a wider scientific investigation, using translational methodologies, to enhance the understanding of arthritis pain and to improve its treatment.

Study Overview

Study Type

Interventional

Enrollment (Actual)

77

Phase

  • Phase 4

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Nottinghamshire
      • Nottingham, Nottinghamshire, United Kingdom, NG7 2UH
        • University of Nottingham - School of Medicine - Radiological Sciences

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

35 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Radiographically defined OA knee changes with knee pain
  • Must have self-reported knee pain
  • Able to give informed consent
  • Over 35 years old
  • Male or female
  • Females not pregnant or lactating and using effective contraception

Exclusion Criteria:

  • People with any known contraindication to MRI like

    • Intraocular metallic foreign bodies;
    • Intracranial aneurysm clips;
    • Cardiac pacemakers and defibrillators;
    • Cochlear implants;
  • People with a significant head tremor;
  • People with potential metal foreign bodies due to previous accidents;
  • Breastfeeding or pregnancy, confirmed by pregnancy test;
  • People that are felt to be unfit for the MRI scan according to the judgement of medically qualified personnel, either on the research team, or the patient's clinical team. (eg. due to back pain, claustrophobia, acute sickness etc.) This includes patients with signs of impaired temperature regulation such as an extremely high fever;
  • Patients with large tattoos, specifically in the head, neck or shoulder region;
  • Persons that do not have the capacity to consent;
  • Aged less than 35;
  • Major medical, neurological and psychiatric co-morbidities;
  • Other significant medical condition;
  • Metallic agents embedded within the body (ie. Shrapnel, surgical pins);
  • Refusal by participant to general practitioner (GP) being informed;
  • Have uncontrolled narrow-angle glaucoma;
  • Have recently taken monoamine oxidase inhibitor (MAOI) or Mellaril® (thioridazine);
  • Taking fluvoxamine, ciprofloxacin or enoxacin;
  • Taking St. John's Wort, a herbal treatment (Hypericum perforatum);
  • Taking other medicines containing duloxetine;
  • Have liver disease or severe kidney disease;
  • Currently on antidepressant treatment, including treatment for pain with tricyclic agents such as amitryptiline;
  • Have recently taken monoamine oxidase inhibitor (MAOI) or Mellaril® (thioridazine);
  • Taking tramadol;
  • Known hypersensitivity, allergy or intolerance to one of duloxetine's components;
  • Unwillingness to take caution in relation to use of other centrally active substances such as alcohol and sedative drugs;
  • Current treatment with potent inhibitors of CYP1A2 like fluvoxamine;

Participants undergoing acute treatment (remifentanil or placebo) have, in addition to the stated above, the following exclusion criteria:

  • Taking morphine
  • Known hypersensitivity, allergy or intolerance to one of remifentanil's components or other fentanyl - analogues
  • Current treatment with cardiac depressant drugs such as beta-blockers and calcium channel blocking agents

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Duloxetine
Duloxetine 30 mg a day (2 weeks), then 60 mg a day (4weeks), taken by mouth
54 participants will be allocated for duloxetine treatment
Other Names:
  • Cymbalta
Placebo Comparator: Placebo (for Duloxetine)
Sugar pill: 1 capsule a day (2 weeks), then 2 capsules a day (4 weeks) taken by mouth
Sugar pill manufactured to mimic Duloxetine 30mg. 27 participants will be allocated to this intervention
Other Names:
  • Sugar pill
Experimental: Remifentanil
Intravenous infusion with maximum estimated plasma target of 1.0 ng/ml, during less than 20 minutes
27 participants will be allocated to Remifentanil infusion
Other Names:
  • Remifentanil hydrochloride
Placebo Comparator: Placebo (for Remifentanil)
Intravenous infusion of normal saline, during less than 20 min
Placebo comparator to Remifentanil treatment. 27 participants will be allocated to this arm
Other Names:
  • Sodium chloride
  • Normal saline

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Reduction in nociceptive brain response after duloxetine
Time Frame: Baseline, week six
Baseline, week six
Neural network change (resting condition) induced by duloxetine
Time Frame: Baseline, week six
Baseline, week six
Predicting response to duloxetine from baseline fMRI metrics using univariate and multivariate analysis
Time Frame: Baseline, week six
Baseline, week six
Differences in brain response and network change between responders and non-responders
Time Frame: Baseline, week six
Baseline, week six

Secondary Outcome Measures

Outcome Measure
Time Frame
Identification of QST and questionnaire parameters that predict response to duloxetine
Time Frame: Baseline, week six
Baseline, week six
Correlation between baseline CPM and TS with brain activity and connectivity changes
Time Frame: Baseline, week six
Baseline, week six
Group differences in brain activity and structure in pain processing, limbic and modulatory pathways changes following duloxetine treatment in comparison to placebo
Time Frame: Baseline, week six
Baseline, week six

Other Outcome Measures

Outcome Measure
Time Frame
Determination of gene variations that can be linked with duloxetine treatment response
Time Frame: Baseline, week six
Baseline, week six

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Dorothee P Auer, PhD, University of Nottingham

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

December 1, 2014

Primary Completion (Actual)

June 1, 2016

Study Completion (Actual)

June 1, 2016

Study Registration Dates

First Submitted

August 4, 2014

First Submitted That Met QC Criteria

August 4, 2014

First Posted (Estimate)

August 5, 2014

Study Record Updates

Last Update Posted (Actual)

November 27, 2017

Last Update Submitted That Met QC Criteria

November 23, 2017

Last Verified

May 1, 2017

More Information

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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