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Novel Approaches of Advanced Neuroimaging Based on MRI Fiber Tracking to Detect Early Signs of Vascular Cognitive Impairment in Hypertensive Patients

Hypertension Clinical Trial

Official title:
Novel Approaches of Advanced Neuroimaging Based on MRI Fiber Tracking to Detect Early Signs of Vascular Cognitive Impairment in Hypertensive Patients

Clinical Trial Summary

Hypertension is the major risk factor for vascular cognitive impairment (VCI). One of the main limitations in the clinical approach to VCI is that, by the time that it is manifested, it might be too late to reverse the neurodegenerative process. Thus, early identification of predictive signs of later dementia is demanding for management of hypertensive patients (HT).This aim claims for new methods that compute in a cloud all possible data sources coming from patients (brain imaging, cognitive profile, clinical data), to extract discriminative aggregate biomarkers. Thus, this study aims at: 1) characterizing the predictive potential of an aggregate biomarker for dementia in HT, based on brain imaging, clinical and cognitive assessment; 2) evaluating the impact of blood pressure variability, besides systolic/diastolic blood pressure, on the progression of the aggregate biomarker; 3) assessing whether specific classes of antihypertensive drugs differently affect the progression of the aggregate biomarker. In order to do this, this study proposes to evaluate advanced brain imaging and cognitive profile in a cohort of hypertensive patients, at baseline and after a 1 year follow up, to identify an innovative signature for the development of cognitive dysfunction in hypertension. In particular, the effects of blood pressure variability and of different classes of antihypertensive drugs will be evaluated.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03986957
Study type Observational
Source Neuromed IRCCS
Contact Giuseppe Lembo, MD, PhD
Phone +390865915225
Email lembo@neuromed.it
Status Recruiting
Phase
Start date December 9, 2019
Completion date December 8, 2022
View Details
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