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RESEARCH PRODUCT

Vascular Risk Factors, Vascular Diseases, and Imaging Findings in a Hospital-based Cohort of Mild Cognitive Impairment Types

Rosolino CamardaCecilia CamardaDelia AzzarelloGiovanni RomeoIacopo BattagliniCarmela PipiaMarcello Chiodi

subject

0301 basic medicineMalePediatricsCross-sectional studyCarotid Intima-Media ThicknesslacuneCohort Studiesvascular risk factor0302 clinical medicinenon lacunar infarctRisk FactorsAged 80 and overCarotid ultrasonographyNeuropsychologyBrainvascular diseaseMiddle AgedMagnetic Resonance ImagingNeurologyAtherosclerosiCohortCerebrovascular DisorderFemaleCarotid Artery InternalCohort studyHumanmedicine.medical_specialtybehavioral disciplines and activities03 medical and health sciencesAtrophyCarotid Intima-Media Thicknemental disordersmedicineHumansDementiaCognitive DysfunctionAgedCross-Sectional StudieMild cognitive impairment typebusiness.industrywhite matter hyperintensities.Atherosclerosismedicine.diseaseHyperintensitynervous system diseasesCerebrovascular DisordersCross-Sectional Studies030104 developmental biologyNeurology (clinical)AtrophyCohort Studiebusinesshuman activities030217 neurology & neurosurgerybrain atrophy

description

Background: Mild Cognitive Impairment (MCI) is a transitional state between normal cognition and dementia. Objective: The aim of this study is to investigate the role of vascular risk factors, vascular diseases, cerebrovascular disease and brain atrophy in a large hospital-based cohort of MCI types including 471 amnestic MCI (a-MCI), 693 amnestic MCI multiple domain (a-MCImd), 322 single non-memory MCI (snm-MCI), and 202 non amnestic MCI multiple domain (na-MCImd). For comparison, 1,005 neurologically and cognitively healthy subjects were also evaluated. Method: Several vascular risk factors and vascular diseases were assessed. All participants underwent neurological, neuropsychological and behavioural assessments as well as carotid ultrasonography and standard brain MRI. Multinomial logistic regression models on the MCI cohort with the NCH group and a-MCI type as reference categories were used to assess the effects of the variables evaluated on the estimated probability of one of the four MCI types. Results: This study demonstrates that cerebrovascular disease contributes substantially to the risk of non-memory MCI types and a-MCImd type, and that brain atrophy is present in all MCI types and is greater in multiple domain types particularly in the na-MCI type. Conclusion: Improving detection and control of cerebrovascular disease in aging individuals should be mandatory. Since the incidence of MCI and dementia will be expected to rise because of the progressive life expectancy, a better management of cerebrovascular disease could indeed prevent or delay the onset of MCI, or could delay progression of MCI to dementia.

10.2174/1567205015666180119110712http://hdl.handle.net/10447/359115