Expanded Development of a Medical Device Utilizing an EEG-Based Algorithm for the Objective Quantification of Pain

April 11, 2023 updated by: PainQx, Inc
PainQx is conducting a study to collect electroencephalography (EEG) data from 250 people with chronic pain and 50 healthy controls in order to develop algorithms that will objectively assess the level of pain a person is experiencing.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

334

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

    • Colorado
      • Golden, Colorado, United States, 80401
        • Panorama Orthopedics & Spine Center
    • New York
      • New Hyde Park, New York, United States, 11042
        • Comprehensive Spine and Pain Center of New York
      • New York, New York, United States, 10016
        • Pain Management at Comprehensive Pain and Wellness Center
      • New York, New York, United States, 10017
        • Comprehensive Spine and Pain Center of New York
      • Valley Stream, New York, United States, 11580
        • Comprehensive Spine & Pain Center of New York

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

18 years to 85 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Two hundred fifty (250) male and female pain patients with symptoms in excess of 3 months duration (per the IASP definition of Chronic Pain) between the ages of 18-85 years will be enrolled in this phase of the study. Fifty (50) healthy normal subjects between the ages of 18-85 years will also be enrolled. The normal subjects are added to assure that the study spans the entire pain scale including those with an NRS of 0.

Description

Inclusion Criteria:

  • Male and female chronic pain patients
  • Patients between the ages of 18-85 years
  • Patients exhibiting the presence of symptoms in excess of 3 months duration
  • Patients suffering from neuropathic (e.g., lower back pain), osteoarthritis, or muscular skeletal pain
  • Patients with evidence of pathology related to the painful condition on which diagnosis was made (e.g., results of imaging or diagnostic pain code)

Patients with NRS pain scores across the full range (1-10) at the time of testing Inclusion Criteria, Normal (no-pain) Group

o Subjects will be included with no history of pain with a duration of greater than 3 months, and no report of pain at the time of testing (or within 3 months of testing)

Exclusion Criteria:

  • Patients with medically diagnosed psychotic illness
  • Patients with medically diagnosed drug or alcohol dependence in the past 12 months
  • Patients with a medical history of head injury with loss of consciousness and amnesia (within the last 2 years)
  • Patients with skull abnormalities that preclude the proper placement of the electrodes for the EEG data acquisition
  • Patients who have a spinal cord stimulator, or other implantable devices
  • Patients for whom the source of pain at the time of the evaluation is associated with: neurological disorders (multiple sclerosis, Parkinson, dementia), diabetes, migraines, or those with reflex / sympathetic dystrophy disorder/complex regional pain syndrome, fibromyalgia, or visceral pain

Note: This does not exclude patients who suffer from these disorders if the current source of pain is not due to the disorder. For example, patients with diabetes are NOT excluded, but patients whose pain at the time of the evaluation is a result of diabetic neuropathy are excluded. Similarly, patients with a history of migraines but for whom a migraine is not the current source of pain at the time of the evaluation are NOT excluded.

  • Patients with cancer
  • Patients on workers compensation or disability
  • Patient on anticonvulsant medication
  • Patients who have a history of seizures

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Healthy Controls
A Quantitative Electroencephalography (QEEG) based pain biomarker assessment that scales with patient reported Numeric Rating Scale (NRS)
Chronic Pain Patients
A Quantitative Electroencephalography (QEEG) based pain biomarker assessment that scales with patient reported Numeric Rating Scale (NRS)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area Under the Curve of Classification Versus Patient Self Report of Pain vs no Pain State
Time Frame: Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
This measure is the performance of the classification of pain vs no pain compared to the patient self-report in the form of Numerical Rating Scale (NRS). The primary outcome measure is Area Under the Curve (AUC), derived from the Receiver Operating Characteristic (ROC) curve, a standard metric of performance for binary classifiers. AUC is a numeric quantity ranging from 0 to 1, where the value of 1 indicates perfect separation, while 0.5 represents zero separation. AUC represents a fundamental expression of classifier separation performance without the complexity of threshold selection. (NRS 0 vs 1-10)
Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
Sensitivity of Classification Versus Patient Self Report of Pain vs no Pain State
Time Frame: Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
Sensitivity, or true positive rate is the probability of a positive result in the true chronic pain patients. This measure is calculated by dividing true positives by the summation of true positives and false negatives. (NRS 0 vs 1-10)
Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
Specificity of Classification Versus Patient Self Report of Pain vs no Pain State
Time Frame: Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
Specificity, or true negative rate is the probability of a negative result in the true healthy control patients. This measure is calculated by dividing true negatives by the summation of true negatives and false positives. (NRS 0 vs 1-10)
Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area Under the Curve of Classification Versus Patient Self Report of no/Mild Pain vs Moderate/Severe Pain State
Time Frame: Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
This measure is the performance of the classification of No/Mild vs Moderate/Severe pain compared to the patient self-report in the form of Numerical Rating Scale (NRS). The outcome measure is Area Under the Curve (AUC), derived from the Receiver Operating Characteristic (ROC) curve, a standard metric of performance for binary classifiers. AUC is a numeric quantity ranging from 0 to 1, where the value of 1 indicates perfect separation (the classifier is correct on every subject), while 0.5 represents zero separation (no better than guessing). AUC represents a fundamental expression of classifier separation performance without the complexity of threshold selection. (NRS 0-3.5 vs 4-10)
Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
Area Under the Curve of Classification Versus Patient Self Report of no, Mild, or Moderate Pain vs Severe Pain State
Time Frame: Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.
This measure is the performance of the classification of No/Mild/Moderate vs Severe pain compared to the patient self-report in the form of Numerical Rating Scale (NRS). The outcome measure is Area Under the Curve (AUC), derived from the Receiver Operating Characteristic (ROC) curve, a standard metric of performance for binary classifiers. AUC is a numeric quantity ranging from 0 to 1, where the value of 1 indicates perfect separation (the classifier is correct on every subject), while 0.5 represents zero separation (no better than guessing). AUC represents a fundamental expression of classifier separation performance without the complexity of threshold selection. (NRS 0-6.5 vs 7-10)
Self-reported pain using average of NRS value at the start and end of EEG collection, and classification based on 15 minutes of EEG collection.

Collaborators and Investigators

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

Sponsor

Collaborators

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 (Actual)

July 23, 2020

Primary Completion (Actual)

January 5, 2022

Study Completion (Actual)

January 5, 2022

Study Registration Dates

First Submitted

October 6, 2020

First Submitted That Met QC Criteria

October 6, 2020

First Posted (Actual)

October 14, 2020

Study Record Updates

Last Update Posted (Estimate)

May 5, 2023

Last Update Submitted That Met QC Criteria

April 11, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • PQXNIH2
  • 5R44DA046964-03 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

Yes

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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