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Peripheral Physiological Measures as Determinants of Pain Risk

Conditions
Polyneuropathies
Peripheral Nerve Injuries
Chemotherapy Effects
Neuralgia
Peripheral 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
Inclusion Criteria
  • Chronic peripheral neuropathic pain
  • Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)
Exclusion Criteria
  • Minors

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Cross-sectional cohortMultiple Excitability Measures of peripheral nervesMultiple Excitability Measures of peripheral nerves on patients with chronic peripheral neuropathic pain
Longitudinal cohortMultiple Excitability Measures of peripheral nervesMultiple Excitability Measures of peripheral nerves on painless patients before and after potential chronic neuropathic pain-inducing interventions (chemotherapy, surgery)
Primary Outcome Measures
NameTimeMethod
Electrophysiological pain phenotypes using MEM. Pain biomarkerSingle 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 predictorSingle assessment at baseline, before any procedure (surgery/chemotherapy)

Predict development of neuropathic pain in susceptible patients

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Neuroscience technologies

🇪🇸

Barcelona, Spain

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