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.
Study Type
OBSERVATIONAL
Enrollment
176
No interventions - observational study
IRCCS Neuromed
Pozzilli, Isernia, Italy
RECRUITINGMeasurement of percentage change in diffusion parameters of the white matter
Fiber tracking by DTI MRI
Time frame: At Enrollment; at 1 year Follow-up
Detection of cognitive decline by decrease of MoCA score
Cognitive tests
Time frame: At Enrollment; at 1 year Follow-up
Characterization of cardiac hypertensive organ damage progression
Echography
Time frame: At Enrollment; at 1 year Follow-up
Characterization of renal hypertensive organ damage progression
eGFR
Time frame: At Enrollment; at 1 year Follow-up
Characterization of Blood Pressure Variability
24h registration of systolic and diastolic blood pressure
Time frame: At Enrollment; at 1 year Follow-up
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