Chemotherapy Effects, Neuralgia, Peripheral Nerve Injuries, Peripheral Nervous System Diseases, Polyneuropathies
Conditions
Keywords
Neuropathic pain, Quantitative Sensory Testing, Multiple Excitability Measures, Threshold Tracking
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
Interventions
The technique of threshold tracking can be used to obtain several measures of peripheral nerve excitability (Multiple Excitability Measures or MEM), such as refractoriness, supernormality, strength-duration time constant and 'threshold electrotonus' (i.e. the changes in threshold produced by long-lasting depolarizing or hyperpolarizing current pulses). Each of these measurements depends on membrane potential and on other biophysical properties of the axons. Many of these excitability parameters are very constant among different subjects, while other, such as the current/threshold parameters and the super/sub-excitability parameters, appear to be characteristic of an individual
Sponsors
Study design
Eligibility
Inclusion criteria
* Chronic peripheral neuropathic pain * Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)
Exclusion criteria
* Minors
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
Spain