[Chromatic computerized analysis is an early predictor of cardiovascular risk associated to hypercholesterolemia].
OBJECTIVE
Early detection of cardiovascular disease is a major goal of contemporary medicine in efforts to prevent coronary heart disease. The goal of this study was to look for a number of changes that could be detected in the neurons of the 19 Brodman area by means of chromatic computerized analysis (CCA) as a consequence of a neurobiological dysfunction, which induced a failure in the chromatic perception, which, in turn, expressed the existence of hypercholesterolemia through numeric qualification and therefore, a cardiovascular risk.


METHODS
. We studied 208 patients (Group 1) (153 men and 55 women) with pre-study plasma cholesterol levels in excess of 200 mg/dl. The control group (Group 2) also consisted of 208 subjects (153 men and 55 women) but with a cholesterol level below 200 mg/dl. They were performed by CCA, previously ruling out any systemic or ophthalmological pathology.


RESULTS
All global indexes were highly correlated in both groups. The direct relation between cholesterol levels and 19 area, reached a canonical correlation of 0.825 with a sensitivity of 90% and especifity of 93%. The results of the multiple regression taking total cholesterol as a dependent variable and the most significative parameter of CCA, as an independent variable was R = 0.89 (p < 0.001), with a test variability of 81%.


CONCLUSIONS
This study determines a strong association between hypercholesterolemia and the visual areas of the cerebral cortex.
Alcalá
A
A
Departamento de Bioquímica Clínica y Biología Molecular, Spain. glia127@teleline.es
Morell
M
M
Rius
F
F
D000328:Adult; D000368:Aged; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000209:etiology*; D003118:Color Perception; D003119:Color Perception Tests; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D006937:Hypercholesterolemia / Q000150:complications* / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012307:Risk Factors; D013997:Time Factors