Actively Recruiting
Prediction Models for Cardiovascular and Neurocognitive Disease Risk in the General Population
Led by Assistance Publique - Hôpitaux de Paris · Updated on 2024-04-30
396
Participants Needed
1
Research Sites
417 weeks
Total Duration
On this page
Sponsors
A
Assistance Publique - Hôpitaux de Paris
Lead Sponsor
I
INSERM UMR-942, Paris, France
Collaborating Sponsor
AI-Summary
What this Trial Is About
More accurate and earlier identification of people at risk of cardiovascular disease (CVD) and neurodegenerative diseases (memory, cognition, dementia) through the appropriate use of biomarkers could lead to earlier initiation of preventive therapies and potentially avoid sometimes fatal events and complications. Biomarkers are useful for determining the risk of disease, but also for establishing a diagnosis. High inter-individual variability hinders the establishment of general laws that can be- used in predictive medicine. In addition to the lack of validation, other limitations are the low participation rate in screening campaigns (regardless of disease) and the relative difficulty, accuracy, cost and time taken to perform the measurements. The perioperative period is a very good time to screen for cardiovascular and neurodegenerative pathologies for several reasons: * Patients come to their anesthesia consultation and to the operating room because they have a direct visible benefit. * the physiological data collected intraoperatively during systematic monitoring are very "rich" and of very good quality because they are not very noisy * The induction of general anesthesia or the onset of locoregional anesthesia and its maintenance represents a strong and reproducible physiological "test" for the cardiovascular and cerebral systems. * The patients are regularly re-examined postoperatively for the follow-up of their pathology and the possible complications are recorded in their file, allowing a short and medium term follow-up. The project aims to validate a biomarker predictive of cardiovascular complications, the pulse wave velocity, and a biomarker predictive of cognitive disorders, the power of the Alpha wave on the electroencephalogram, from the data usually collected during each anesthesia and during the perioperative period. The objective is to build a predictive model of cardiovascular and neurodegenerative risks, possibly combined, on a survival analysis.
CONDITIONS
Official Title
Prediction Models for Cardiovascular and Neurocognitive Disease Risk in the General Population
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients older than 45 years
- Eligible for outpatient or scheduled surgery or interventional procedures under general anesthesia or locoregional anesthesia with sedation
- Patient has not objected to participation in this research
- Patient is not under any legal protection measure
You will not qualify if you...
- Patients under 45 years of age
- Patient opposed to participation in the protocol
- Pregnant women
- Patient under judicial protection
- Patient not affiliated to a social health system
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
AP-HP, Lariboisière Hospital, Department of Anesthesiology and Intensive Care
Paris, France, 75010
Actively Recruiting
Research Team
J
Joaquim MATEO, MD
CONTACT
F
Fabrice VALLEE, MD, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here