- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06459635
Migraine Attack Pain Phase Prediction Study (PREDI-CRISIS)
Prediction Study of the Pain Phase of Migraine Attacks in Patients With Episodic Migraine
Study Overview
Status
Detailed Description
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ana Beatriz Gago Veiga
- Phone Number: +34 915202416
- Email: anabeatriz.gago@salud.madrid.org
Study Contact Backup
- Name: Iris Fernández Lázaro
- Email: irisfdezlaz@gmail.com
Study Locations
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Madrid
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Madrid, Madrid, Spain, 28006
- Recruiting
- Hospital Universitario de la Princesa
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Contact:
- Ana Beatriz Gago Veiga
- Phone Number: +34 915202416
- Email: anabeatriz.gago@salud.madrid.org
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Contact:
- Iris Fernández Lázaro
- Email: irisfdezlaz@gmail.com
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Principal Investigator:
- Ana Beatriz Gago Veiga
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age between 15 years and 69 years.
- Diagnosed with migraine by a headache neurologist and according to the criteria proposed by ICHD-3.
- History of migraine of at least 1 year of evolution.
- Normal neurological examination.
- Have given your informed consent.
- Be able to describe your clinical situation and the characteristics of your headache.
- Have an average of 10 to 14 migraine days per month in the three months prior to inclusion (high-frequency episodic migraine).
- User-level management capacity of "smartphone" type electronic devices.
- Be able to complete two months of study follow-up.
Exclusion Criteria:
- Presence of another type of headache, with the exception of headache due to excessive use of analgesic medication.
- Cognitive deficiency or any other pathology that may prevent or make it difficult for the patient to perform the study correctly.
- Neurological focus in the examination.
- Pregnancy or breastfeeding period.
- Patients with known heart disease or bronchopathy, Sjögren's syndrome, diabetes mellitus, or hypo/hyperthyroidism.
- Carriers of pacemakers, neurostimulators or any other electronic device that is considered to make the interpretation of biometric records difficult.
- Anatomical problem that makes the use of the device impossible.
- Patients in whom it is expected that a change in migraine preventive treatment or other usual treatment will be possible during the study period.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Patients with episodic migraine
Patients with episodic migraine who present between 4 and 10 migraine attacks per month.
These patients must have a diagnosis of migraine by a headache neurologist and according to the criteria proposed by ICHD-3.
In addition, they must present at least 1 year of evolution of the migraine, as well as a normal neurological examination and have given their informed consent.
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Control patients
People who have never had a headache episode with migraine characteristics.
These may present, at most, one episode per month of headache with non-migraine characteristics in the last 3 months.
In turn, they should not have a family history of migraine (1st and 2nd degree).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Development of a prediction strategy for the onset of migraine
Time Frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Develop a prediction strategy for the onset of migraine attacks in patients with episodic migraine, based on hemodynamic and clinical variables of migraine attacks.
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From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Posibility of predict the onset of pain in a migraine attack
Time Frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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To analyze whether it is possible to predict the onset of pain in a migraine attack, through ambulatory and non-invasive monitoring of physiological variables.
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From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Individualized prediction algorithm
Time Frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Implement an individualized prediction algorithm that allows real-time prediction of the symptomatic phase of the migraine attack.
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From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Effectiveness of the prediction model
Time Frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Measure the effectiveness of the prediction model both at the individual level and in a large group of patients.
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From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Ana Beatriz Gago Veiga, Fundación de Investigación Biomédica - Hospital Universitario de La Princesa
Publications and helpful links
General Publications
- Gago-Veiga AB, Pagan J, Henares K, Heredia P, Gonzalez-Garcia N, De Orbe MI, Ayala JL, Sobrado M, Vivancos J. To what extent are patients with migraine able to predict attacks? J Pain Res. 2018 Sep 27;11:2083-2094. doi: 10.2147/JPR.S175602. eCollection 2018.
- Pagan J, De Orbe MI, Gago A, Sobrado M, Risco-Martin JL, Mora JV, Moya JM, Ayala JL. Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data. Sensors (Basel). 2015 Jun 30;15(7):15419-42. doi: 10.3390/s150715419.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 3513
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Individual participant data (IPD) will not be shared with other researchers. This decision is based on data protection and confidentiality requirements in accordance with applicable European and national regulations (including GDPR). Given that this is a multicentre observational study conducted in routine clinical practice, access to IPD is restricted to the study investigators for the purposes of the predefined analyses.
Any potential secondary use of the dataset would only be considered in fully anonymized form and subject to prior ethical approval and compliance with applicable data protection legislation.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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