Hospital Universitario de La Princesa
Madrid, 28006, Spain
Location status: Recruiting
Location contact
Ana Beatriz Gago Veiga
CONTACT
Ana Beatriz Gago Veiga
PRINCIPAL_INVESTIGATOR
Iris Fernández Lázaro
CONTACT
NCT Number: NCT06459635
The study of the ability to predict pain in a migraine attack, through premonitory symptoms and through an ambulatory monitoring device through real-time recording of hemodynamic variables, is one of the strategic lines of research of the unit. of Headaches at the Hospital de La Princesa since 2013 together with the Complutense and Polytechnic University of Madrid. Their results have been reflected in various publications (Pagán J, et al. Sensors 2015; Gago-Veiga AB, et al. J Pain Res 2018) and have promoted the creation of several invention patents.
Interested in participating?
Request Info18 year–65 year
All sexes
Observational
Madrid, 28006, Spain
Location status: Recruiting
Ana Beatriz Gago Veiga
CONTACT
Ana Beatriz Gago Veiga
PRINCIPAL_INVESTIGATOR
Iris Fernández Lázaro
CONTACT
Patients with episodic migraine will be recruited from the monographic headache clinics of the 7 centers participating in the study. These patients, for a maximum period of 2 months, must monitor their hemodynamic variables with a wearable device and record all the clinical characteristics of their migraine attacks. Subsequently, with these records, an individualized algorithm will be created for each patient that aims to predict the onset of the migraine attack.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
Develop a prediction strategy for the onset of migraine attacks in patients with episodic migraine, based on hemodynamic and clinical variables of migraine attacks.
Time frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
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.
Time frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
Implement an individualized prediction algorithm that allows real-time prediction of the symptomatic phase of the migraine attack.
Time frame: From the beginning of treatment, which is the initial visit, to 2 months of follow-up
Measure the effectiveness of the prediction model both at the individual level and in a large group of patients.
Contact information is provided by the study sponsor or research team.
Ana Beatriz Gago Veiga
CONTACT
Iris Fernández Lázaro
CONTACT
Fundación de Investigación Biomédica - Hospital Universitario de La Princesa
Other
Prediction Study of the Pain Phase of Migraine Attacks in Patients With Episodic Migraine
Acronym: PREDI-CRISIS
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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