Objective To evaluate stroke risk profile using cerebral vascular functional accumulative scores
(CVFAS) and analyze the relationship between the score and exposure level of risk factors in
middle- aged and old male population.
Methods A total of 280 male people aged more than 45 years who had completed health checkup and cerebral hemodynamic examination from People's Liberation Army General Hospital No. 8
Medical Center from February 2016 to November 2016 were included in this study.All subjects
were divided into two groups according to the cut off point of CVFAS, high-risk group (CVFAS<75
score, n =82) and low-risk group (CVFAS≥75 score, n =198). To analyze the change of CVFAS and
the detection rate of high-risk individuals of stroke in different age groups, compare the exposure
level of risk factors between the two groups, and analyze the correlation between CVFAS and risk
factors of stroke.
Results The CVFAS score gradually decreased with age, the detection rate of high-risk individuals
of stroke was 29.3% (82/280), this rate increased with age and reached up to 60.0% in people over
70 years. Compared with low-risk group, the proportion of smoking, hypertension, diabetes were all
much more higher in high-risk group (all P <0.05), in addition, the levels of age, waist circumference
(WC), body fat (BF), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma
glucose (FPG), TC, LDL-C, Hcy, brachial-ankle pulse wave velocity (baPWV), carotid intimamedia
thickness (CIMT) were also far more higher in high-risk group, but HDL-C were much lower
in high-risk group (P <0.05). Correlation analysis showed a negative correlation between CVFAS
and age (r =-0.314, P =0.007), WC (r =-0.295, P =0.009), BF (r =-0.324, P =0.006), SBP (r =-0.387,
0.005), DBP (r =-0.327, P =0.006), TC (r =-0.219, P =0.014), LDL-C (r =-0.325, P =0.006), FPG (r =-0.289,
P =0.009), Hcy (r =-0.216, P =0.014), baPWV (r =-0.349, P =0.005), CIMT (r =-0.209, P =0.013) and a
positive correlation with HDL-C (r =0.258, P =0.011). Logistic regression analysis revealed that age
(OR 1.257, 95%CI 1.118-1.359, P =0.001), hypertention (OR 1.524, 95%CI 1.259-1.894, P <0.001),
BF (OR 1.493, 95%CI 1.214-1.876, P =0.001), SBP (OR 1.897, 95%CI 1.684-2.697, P =0.001), FPG
(OR 1.356, 95%CI 1.214-1.651, P =0.001), LDL-C (OR 1.675, 95%CI 1.327-1.956, P <0.001), Hcy
(OR 1.295, 95%CI 1.158-1.413, P =0.001), baPWV (OR 1.258, 95%CI 1.149-1.524, P =0.002] were
independent risk factors of CVFAS abnormality.
Conclusions The decreased CVFAS (CVFAS<75 score) was closely correlated with the exposure
levels of risk factors in high-risk individuals of stroke. Using CVFAS to screen the high-risk
individuals of stroke is a convenient and feasible method, which is helpful to early prevention of
stroke.
