Peripheral Physiological Measures as Determinants of Pain Risk
- Conditions
- PolyneuropathiesPeripheral Nerve InjuriesChemotherapy EffectsNeuralgiaPeripheral Nervous System Diseases
- Interventions
- Other: Multiple Excitability Measures of peripheral nerves
- Registration Number
- NCT02985294
- Lead Sponsor
- Neuroscience Technologies SLP, Barcelona
- Brief Summary
This study evaluates peripheral nervous system function using Multiple Excitability Measures (MEM) to obtain "electrophysiological pain phenotypes"
- Detailed Description
Using MEM for peripheral sensory and motor axons we want to identify a set of excitability measures that:
1. Correlate with parameters of clinical pain and of pain processing in existing pain patients (cross sectional study), with the aim to obtain an objective Pain Biomarker.
2. Predict development of neuropathic pain in susceptible patients (longitudinal study). Neuropathic Pain Predictor for patients:
i. Undergoing surgical procedures associated with a relatively high risk of developing neuropathic pain such as thoracotomy and hernia repair ii. Planning to start chemotherapy with potentially neurotoxic agents such as vincristine
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 200
- Chronic peripheral neuropathic pain
- Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)
- Minors
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Cross-sectional cohort Multiple Excitability Measures of peripheral nerves Multiple Excitability Measures of peripheral nerves on patients with chronic peripheral neuropathic pain Longitudinal cohort Multiple Excitability Measures of peripheral nerves Multiple Excitability Measures of peripheral nerves on painless patients before and after potential chronic neuropathic pain-inducing interventions (chemotherapy, surgery)
- Primary Outcome Measures
Name Time Method Electrophysiological pain phenotypes using MEM. Pain biomarker Single assessment (cross sectional study) at the first and only visit Correlate with parameters of clinical pain and of pain processing in existing pain patients
Electrophysiological pain phenotypes using MEM. Pain predictor Single assessment at baseline, before any procedure (surgery/chemotherapy) Predict development of neuropathic pain in susceptible patients
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Neuroscience technologies
🇪🇸Barcelona, Spain