Pain Phenotypes in Knee Osteoarthritis

Pain Clinical Trial

Official title: Determination of Pain Phenotypes in Older Adults With Knee Osteoarthritis

Status Completed

Clinical Trial Summary

Recently, the medical community has learned damage to the knee joint may be one of many possible reasons for pain in knee osteoarthritis. Psychological factors and other aspects of brain function seem to play an important role in the pain experience. Although research studies have examined these factors on an individual basis, no study has examined all of these factors in the same population. Furthermore, some measures of brain function- having to do with perception of the painful body part- have yet to be examined in knee osteoarthritis. The investigators plan to study many of these variables in a group of people with knee osteoarthritis, as well in some healthy controls (without knee pain), in order to establish the relative importance of these measures in contributing to pain, as well as validate new measures of perception in people with knee osteoarthritis. We also plan to use a statistical tool- known as latent profile analysis- to look at subgroups of knee osteoarthritis pain. The hypothesis is that different people experience pain in knee osteoarthritis for different reasons. This study will be the first study to use all of these different variables- which can be reproduced in a clinical setting- to look for different subgroups of knee osteoarthritis pain. Ultimately, the goal is to help clinicians better prioritize and target interventions to individual patients. The investigators believe this will lead to better outcomes and fewer treatment complications currently associates with pharmaceutical and surgical interventions that are widely used to treat knee osteoarthritis.

Clinical Trial Description

In a 2011 statement to the Food and Drug Administration, the Osteoarthritis Research Society International (OARSI) identified the "phenotyping" of OA pain as a research priority to "better target pain therapies to individual patients." Successful identification of pain phenotypes will allow new interventions to be tested in homogeneous populations of patients presenting with similar pain pathophysiology, ultimately enhancing treatment effects in defined populations for whom interventions are determined safe and effective. Clinical populations of knee OA are clearly heterogeneous, spanning wide age ranges and encompassing patients with a wide variety of functional abilities. The pain experience in knee OA may be similarly individualized and complex; some patients may present with pain that appears attributable to classic signs of joint damage, while others may present with pain due to psychological distress or central mechanisms. Changes in somatosensory processing and pain threshold are also known to occur with aging. However, the scientific community has yet to examine these variables concurrently in the same study population. Therefore, the relative importance of each of these measures in determining pain severity across the lifespan is unknown. It is also unknown whether these variables (or interactions between variables) are representative of different pain phenotypes in knee OA. This is an important yet unresolved question; a patient with high levels of psychological distress and low levels of joint damage may warrant a different intervention strategy than the traditional knee-directed approach. On the other hand, someone with increased psychological distress in addition to severe joint damage may benefit from traditional interventions that are further augmented with other impairment-specific interventions. This sort of targeted approach is the topic of current research in other chronic pain populations, where a similar conceptual model, composed of peripheral, psychological and central components to the pain experience (among others), is recognized. ;

Study Design

Observational Model: Case Control, Time Perspective: Cross-Sectional

Related Conditions & MeSH terms

• Osteoarthritis
• Osteoarthritis, Knee
• Pain

• NCT number: NCT02664896
• Study type: Observational
• Source: University of Colorado, Denver
• Status: Completed
• Phase: N/A
• Start date: April 2013
• Completion date: May 2016