Abstract
INTRODUCTION: Cerebral small vessel disease (CSVD) frequently occurs in individuals with vascular risk factors. This condition might go unrecognised or result in only mild functional deficits. OBJECTIVE: To evaluate the relationship between cardiovascular (CV) risk calculated with the HEARTS app and CSVD burden in a population without cardio-cerebrovascular diseases, and to estimate the prevalence of CSVD in low risk (LR) individuals. METHODS: Asymptomatic subjects with vascular risk factors were included from primary health areas in Havana. The WHO's revised CV disease risk prediction chart (HEARTS app) was applied to all individuals, who were classified into two groups: LR and moderate/high risk (M/HR). Brain MRI was performed in all subjects. RESULTS: 170 patients were included: 43 (25.3%) classified as low CV risk and 127 (74.7%) had M/HR CV risk. Half of the neurologically healthy individuals included displayed cerebral small vessel involvement (51.2%). White matter hyperintensities (WMH) and enlarged perivascular spaces were the most frequent lesions observed in both groups. WMH were more severe and more severe global score for CSVD were more frequent in the M/HR group (57.5%). It was noteworthy that 32.6% of LR-patients also exhibited more severe CSVD. The multivariate regression analysis revealed an independent association of arterial hypertension and age with the severity of CSVD. CONCLUSIONS: CV risk stratification through the HEARTS app has limited utility for predicting brain health in individuals with low CV risk. Identifying silent CSVD in individuals with apparently low CV risk is important, especially if they suffer from arterial hypertension.