DOLORiskWP51: Peripheral Physiological Measures as Determinants of Pain Risk

Sponsor
Neuroscience Technologies SLP, Barcelona (Industry)
Overall Status
Unknown status
CT.gov ID
NCT02985294
Collaborator
University of Oxford (Other), Institut National de la Santé Et de la Recherche Médicale, France (Other), University of Aarhus (Other), University of Dundee (Other)
200
1
48
4.2

Study Details

Study Description

Brief Summary

This study evaluates peripheral nervous system function using Multiple Excitability Measures (MEM) to obtain "electrophysiological pain phenotypes"

Condition or Disease Intervention/Treatment Phase
  • Other: Multiple Excitability Measures of peripheral nerves

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:
  1. 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

Study Design

Study Type:
Observational [Patient Registry]
Anticipated Enrollment :
200 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
DOLORisk: Understanding Risk Factors and Determinants for Neuropathic Pain - Peripheral Physiological Measures as Determinants of Pain Risk
Study Start Date :
Apr 1, 2016
Anticipated Primary Completion Date :
Mar 1, 2019
Anticipated Study Completion Date :
Apr 1, 2020

Arms and Interventions

Arm Intervention/Treatment
Cross-sectional cohort

Multiple Excitability Measures of peripheral nerves on patients with chronic peripheral neuropathic pain

Other: Multiple Excitability Measures of peripheral nerves
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
Other Names:
  • Assessment of sensory phenotype by QST (quantitative sensory testing)
  • Questionnaires
  • Longitudinal cohort

    Multiple Excitability Measures of peripheral nerves on painless patients before and after potential chronic neuropathic pain-inducing interventions (chemotherapy, surgery)

    Other: Multiple Excitability Measures of peripheral nerves
    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
    Other Names:
  • Assessment of sensory phenotype by QST (quantitative sensory testing)
  • Questionnaires
  • Outcome Measures

    Primary Outcome Measures

    1. 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

    2. Electrophysiological pain phenotypes using MEM. Pain predictor [Single assessment at baseline, before any procedure (surgery/chemotherapy)]

      Predict development of neuropathic pain in susceptible patients

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Chronic peripheral neuropathic pain

    • Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)

    Exclusion Criteria:
    • Minors

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Neuroscience technologies Barcelona Spain 08028

    Sponsors and Collaborators

    • Neuroscience Technologies SLP, Barcelona
    • University of Oxford
    • Institut National de la Santé Et de la Recherche Médicale, France
    • University of Aarhus
    • University of Dundee

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Additional Information:

    Publications

    None provided.
    Responsible Party:
    Neuroscience Technologies SLP, Barcelona
    ClinicalTrials.gov Identifier:
    NCT02985294
    Other Study ID Numbers:
    • Neuroscience Technologies
    First Posted:
    Dec 7, 2016
    Last Update Posted:
    Aug 23, 2018
    Last Verified:
    Aug 1, 2018
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Keywords provided by Neuroscience Technologies SLP, Barcelona
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Aug 23, 2018