跳至主要内容
临床试验/NCT06337526
NCT06337526撤回不适用

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

Stanford University1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2026年6月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
撤回
入组人数
150
试验地点
1
主要终点
Change from baseline in pain score

研究概览

简要总结

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

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Prospective

入排标准

年龄范围
8 Years 至 17 Years(Child)
性别
All
接受健康志愿者
否

入选标准

  • •Clinical diagnosis of...

排除标准

  • 未提供

研究组 & 干预措施

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.

干预措施: Apple Watch v8 (Device)

结局指标

主要结局

Change from baseline in pain score

时间窗: Baseline through month 6

Pain assessed on an 11-point Likert Scale (score range: 0 to 10)

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Elliot Krane

Professor Emeritus, Dept of Anesthesiology

Stanford University

研究点 (1)

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