Predicting Pain Exacerbations in Children With Complex Regional Pain Syndrome (CRPS)

April 8, 2024 updated by: Andrew Dinh, Stanford University

Identifying Factors Associated With Acute Pain Exacerbation in Children With Complex Regional Pain Syndrome (CRPS): A Novel Research Plan

objectives: identify physiologic, dietary, and environment triggers of severe pain exacerbations in children with CRPS.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Hypothesis(es) and Aims: Investigators hypothesize that spontaneous exacerbations ("flares") of limb pain caused by CRPS have identifiable and predictable precipitants and timing. The aim of this trial is (1) to aggregate large databases of real-time physiological, psychological, subjective pain, environmental and dietary data and analyze these data with artificial intelligence (AI) to identify temporal precipitants to pain exacerbations, and (2) to identify potential strategies to interrupt the progression of acute pain flares based upon what is learned. Early treatment and strategies to interrupt acute pain flares would have a significant effect on quality of life in this patient population while undergoing treatment and resolution of the ongoing condition.

Design: Design of the study: prospective observational study. Subjects: will be recruited from Stanford's pediatric pain clinic and other like centers nation-wide. Subjects will be issued an Apple Watch and the Medeloop app for data collection. Data collection: Medeloop will collect subjects' electronic medical records (existing and prospective) if subjects sign into the hospital's patient portal through Medeloop.

The Apple Watch will transmit physiologic data to Medeloop in real time for a period of 6 months to derive physiologic parameters from Apple Watch measured pulse rate, oxygen saturation, time in daylight, ECG measurement, and movement/activity. Derived variables include heart rate variability, sleep hours, daily distance walked, right/left weight bearing and gait and others. Using a paired smartphone, subjects will photograph all meals for analysis of the dietary content by AI, which will be transmitted to Medeloop after capture for AI analysis. Medeloop software will use location data and cross-reference corresponding environmental and weather data (e.g., atmospheric conditions, air and water quality) on a daily basis. All pain flares will be recorded in real time via the Medeloop app.

Study Type

Observational

Enrollment (Estimated)

150

Contacts and Locations

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

Study Contact

Study Locations

  • United States
    • California
      • Stanford, California, United States, 94305
        • Pediatric Pain Clinic

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

  • Child

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Children and adolescents with CRPS diagnosed in a pediatric pain management clinic.

Description

Inclusion Criteria:

  • Clinical diagnosis of...

Exclusion Criteria:

-

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
Children & Adolescents with Active CRPS

Subjects between the ages of 10 and 18 years, who have CRPS diagnosed in a pediatric pain center or clinic and whose CRPS is presently active (i.e. unresolved), of either gender, and any ethnicity or racial group.

For 6 months subjects will wear an Apple Watch, transmitting physiologic and movement data to the investigators, will photograph their meals for AI analysis of content, and log their pain scores and episodes of pain flares, and independently the investigators will collect weather and environmental data in the subject's location. These data will be analyzed by AI to identify chronologic triggers of pain flares.
Device: Apple Watch v8
Apple Watch used for data collection only

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from baseline in pain score
Time Frame: Baseline through month 6
Pain assessed on an 11-point Likert Scale (score range: 0 to 10)
Baseline through month 6

Collaborators and Investigators

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

Sponsor

Stanford University

Collaborators

Medeloop.ai

Investigators

  • Principal Investigator: ANDREW DINH, MD, Stanford University
  • Study Director: ELLIOT KRANE, MD, Stanford University

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.

General Publications

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 (Estimated)

April 1, 2024

Primary Completion (Estimated)

March 1, 2026

Study Completion (Estimated)

March 1, 2026

Study Registration Dates

First Submitted

March 22, 2024

First Submitted That Met QC Criteria

March 22, 2024

First Posted (Actual)

March 29, 2024

Study Record Updates

Last Update Posted (Actual)

April 10, 2024

Last Update Submitted That Met QC Criteria

April 8, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • IRB-71503

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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