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Los Angeles, California 90089


Purpose:

The purpose of this study is to (a) evaluate the treatment approaches and changes in treatment regimens utilized by clinicians when genetic testing is performed in the clinic; and (b) create a patient data registry to identify genetic factors that influence treatment outcomes in pain management.


Study summary:

Clinicians who treat pain have noted that the response to opioids and other pain medications varies widely among patients. Differences in the degree of pain stimulation and pain sensitivity, weight and age differences, prior opioid use and tolerance, as well as the differences in bioavailability of various opioid formulations have been cited as causes for the wide variability in analgesia seen with opioids. However, a significant component of chronic pain may also be explained by genetic polymorphisms. Genetic information may explain the variability of responses and help predict more effective (or less dangerous) treatments and medication choices and doses. By identifying the genetic risks and the most effective analgesic for an individual patient, clinicians may be able to improve the efficacy of the pain treatments and medications and decrease the risk of iatrogenically-induced overdose, addiction, and death. The purpose of this study is to evaluate how currently available genetic tests are being implemented in a pain management setting and whether this information results in benefits to patient care. Chronic pain patients receiving routine medical visits for their care will complete validated questionnaires to measure pain levels, disability indices, mental health, and quality of life measurements at each clinical visit. Physicians will document any changes made to treatment regimens, including adjustments to medications or non-pharmacological treatments and improvements in pain, functional ratings, or patient satisfaction. Concomitantly, this study will use the collected genetic and clinical data to create a data registry in order to examine novel correlations and associations between single nucleotide polymorphisms and longitudinal datasets. The results of this study will elucidate potential predictive variables of chronic pain development and/or treatment that will assist in making better healthcare decisions in the selection of treatment modalities and dosing of medications for chronic pain.


Criteria:

Inclusion Criteria: - Provide signed and dated informed consent form. - Willing to comply with all study procedures and be available for the duration of the study. - Currently experiencing a chronic pain problem, with symptoms that have occurred within the last 30 days. Exclusion Criteria: - Severe hepatic or renal disease - Significant diminished mental capacity that is unable to understand the protocol, surveys and questionnaires; unable to read/write English or Spanish - Recent febrile illness that precludes or delays participation by more than 1 month - Pregnancy or lactation - Participation in a clinical study that may interfere with participation in this study - Anything that would place the individual at increased risk or preclude the individual's full compliance with or completion of the study


NCT ID:

NCT02480075


Primary Contact:

Principal Investigator
Steven Richeimer, M.D.
University of Southern California


Backup Contact:

N/A


Location Contact:

Los Angeles, California 90089
United States



There is no listed contact information for this specific location.

Site Status: N/A


Data Source: ClinicalTrials.gov

Date Processed: November 18, 2017

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