Peripheral Physiological Measures as Determinants of Pain Risk
NCT ID: NCT02985294
Last Updated: 2018-08-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
200 participants
OBSERVATIONAL
2016-04-30
2020-04-30
Brief Summary
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Detailed Description
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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
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Cross-sectional cohort
Multiple Excitability Measures of peripheral nerves on patients with chronic peripheral neuropathic pain
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
Longitudinal cohort
Multiple Excitability Measures of peripheral nerves on painless patients before and after potential chronic neuropathic pain-inducing interventions (chemotherapy, surgery)
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
Interventions
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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 Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Painless Patient with risk to develop neuropathic pain (post-surgery, chemotherapy-induced)
Exclusion Criteria
18 Years
ALL
No
Sponsors
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University of Oxford
OTHER
Institut National de la Santé Et de la Recherche Médicale, France
OTHER_GOV
University of Aarhus
OTHER
University of Dundee
OTHER
Neuroscience Technologies SLP, Barcelona
INDUSTRY
Responsible Party
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Locations
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Neuroscience technologies
Barcelona, , Spain
Countries
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Central Contacts
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Facility Contacts
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Related Links
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Official Consortium web site
Other Identifiers
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Neuroscience Technologies
Identifier Type: -
Identifier Source: org_study_id
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