跳至主要内容
临床试验/NCT03495245
NCT03495245Unknown不适用

Development of a Serum Biomarker-Based Approach to Monitor Opioid Adherence and Minimize Substance Misuse in Chronic Pain Management

Rowan University1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2018年3月28日最近更新:
适应症

试验速览

阶段
不适用
入组人数
200
试验地点
1
主要终点
Serum protein levels as a marker for pain

研究概览

简要总结

The study investigates the potential of using serum biomarkers to assess pain in fibromyalgia patients.

详细描述

At the heart of the opioid epidemic is the lack of an objective measure of pain, which will help evaluate the validity of the patients' perception that the current dosage of opioid is sufficient of insufficient to alleviate pain. This study will test the quantifiable proteins such as S100B and BDNF will serve as objective measures (biomarkers) of pain.

Fibromyalgia patients will be recruited into two groups-- one that uses opioids and the other that does not. Blood will be collected every 6 months for two years. The serum will be used to assay for levels of S100B and BDNF, The pressure-pain threshold (PPT) data, as part of standard of care, will also be collected. Correlation will the be assessed.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Diagnosed with Fibromyalgia

排除标准

  • Evidence of a history of substance abuse, neurological or oncologic disease, ischemic heart disease, kidney or hepatic insufficiency.

结局指标

主要结局

Serum protein levels as a marker for pain

时间窗: 2-4 years

Serum proteins will be assayed from patients. The correlation between the serum levels and the visual analog pain scale will be determined. 0 on the visual analog pain scale represents that their is no pain. 10 on the visual analog pain scale represents severe pain.

次要结局

  • Determine if correlation may be established between impact of fibromyalgia and opioid doses(2-4 years)
  • Determine if correlation may be established between sleep index and opioid doses(2-4 years)

研究者

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

Venkat Venkataraman, PhD

Assistant Professor

Rowan University

研究点 (1)

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