Peripheral Physiological Measures as Determinants of Pain Risk (DOLORiskWP51)
DOLORisk: Understanding Risk Factors and Determinants for Neuropathic Pain - Peripheral Physiological Measures as Determinants of Pain Risk
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Using MEM for peripheral sensory and motor axons we want to identify a set of excitability measures that:
- 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.
- 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
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Romà Solà, MD
- Phone Number: 0034 934020164
- Email: rsola@nsc-tec.com
Study Locations
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Barcelona, Spain, 08028
- Recruiting
- Neuroscience technologies
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Contact:
- Romà Solà, MD
- Phone Number: 0034 93 4020164
- Email: rsola@nsc-tec.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
- Painless patients and patients with chronic peripheral neuropathic pain
- Susceptible patients for developing pain 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 taxol, vincristine, etc.
Description
Inclusion Criteria:
- Chronic peripheral neuropathic pain
- Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)
Exclusion Criteria:
- Minors
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Cross-sectional cohort
Multiple Excitability Measures of peripheral nerves on patients with chronic peripheral neuropathic pain
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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:
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Longitudinal cohort
Multiple Excitability Measures of peripheral nerves on painless patients before and after potential chronic neuropathic pain-inducing interventions (chemotherapy, surgery)
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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:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Electrophysiological pain phenotypes using MEM. Pain biomarker
Time Frame: Single assessment (cross sectional study) at the first and only visit
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Correlate with parameters of clinical pain and of pain processing in existing pain patients
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Single assessment (cross sectional study) at the first and only visit
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Electrophysiological pain phenotypes using MEM. Pain predictor
Time Frame: Single assessment at baseline, before any procedure (surgery/chemotherapy)
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Predict development of neuropathic pain in susceptible patients
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Single assessment at baseline, before any procedure (surgery/chemotherapy)
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Neuroscience Technologies
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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