Objective: Cerebrovascular disease (CVD) is associated with cognitive deficits. This crosssectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. Method: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. Results: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). Vascular mild cognitive impairment (VaMCI) can be defined as a cognitive impairment of vascular etiology that does not fulfill criteria for dementia 1 . It has been proposed that vascular-related cognitive impairment exists throughout a continuum comprising VaMCI, vascular cognitive impairment no-dementia (Va-CIND) and vascular dementia (VaD) 2 . In a sample of cerebrovascular disease (CVD) patients with cognitive difficulties, Wentzel et al. 3 reported a 50% rate of conversion to dementia over a five-year period. The early detection of VaM-CI may allow therapeutic intervention designed to halt or delay the progression of vascular lesions so as to prevent the conversion to dementia 4,5 . Presently, the diagnosis of mild cognitive impairment (MCI) requires improvement in the sensitivity of conventional screening tests for dementia, since the rate of false-negative results is usually high for those individuals 6,7 . Studies attempting to increase such sensitivity have shown that a combination of different screening tests provides higher diagnostic accuracy compared to each test individually 8,9 . Diniz et al. 7 analyzed Mini-Mental State Examination (MMSE) subtests in a sample of MCI subjects and managed to identify distinct profiles of cognitive deficits among the MCI subtypes. A higher rate of patients with MCI could be identified when the item scores were analyzed, which was not possible when only MMSE final scores were considered. ROC curve analyses were performed to determinate cutoff scores in the Cambridge Cognitive Examination (CAMCOG) for MCI patients, but discrimination between MCI subjects and controls with this method showed low accuracy 10 .
ConclusionIt was suggested that some cognitive domains might be specifically impaired in MCI subjects and these aspects could serve as differential markers to distinguish this condition from normal aging. Rodríguez et al. found that individuals diagnosed as MCI performed significantly worse than controls in CAMCOG subtests assessing various areas, with higher significance levels corresponding to the variables memory, abstract thinking and executive function 11 . In a previous study, Erkinjuntii et al. observed im...