Key result
In 535 healthy adults, diastolic blood pressure, age, body mass index, gender, and HDL-cholesterol were identified as significant independent factors associated with the right Cardio-Ankle Vascular Index (Adjusted R²=0.357, p<0.001).
Why the study?
CAVI and ABI are non-invasive methods used to evaluate cardiovascular disease and arteriosclerosis, prompting investigation into their relationships with factors related to arteriosclerosis.
What clinical factors are independently associated with Cardio-Ankle Vascular Index (CAVI) and Ankle-Brachial Index (ABI) in healthy adults?
Cross-Sectional (n=535)
No
What clinical factors are independently associated with Cardio-Ankle Vascular Index (CAVI) and Ankle-Brachial Index (ABI) in healthy adults?
Effect estimate: Adjusted R² 0.357
p-value: p=<0.001
CAVI and ABI correlate significantly with age, gender, and blood pressure, supporting their utility as non-invasive markers for evaluating arteriosclerosis risk in healthy populations.
Should not yet guide screening; leaves open longitudinal validation of CAVI as arteriosclerosis marker.
Objectives: The cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI) are non-invasive methods to evaluate cardiovascular disease and arteriosclerosis. This study investigated the relationship between CAVI, ABI, and factors related to arteriosclerosis. Methods: This study included 535 healthy adults who underwent health examinations in 2019. We analyzed the correlation between CAVI, ABI and clinical variables. Multiple regression analysis was performed on the independent clinical variables associated with CAVI and ABI. Results: The correlation analysis of CAVI showed that body mass index (BMI) and HDL-cholesterol (HDL-C) had a negative correlation, and the other variables had a significant positive correlation. The correlation analysis with ABI on the right side showed that age, diastolic blood pressure (DBP), gender, and LDL-cholesterol (LDL-C) had a significant positive correlation, while HDL-C had a significant negative correlation. There was no statistical significance on the left. In the multiple regression analysis, DBP, age, BMI, gender, and HDL-C were proved to be independent factors in CAVI (right) (R2=0.365); DBP, age, gender, BMI, fasting blood sugar, and total cholesterol in CAVI (left) (R2=0.357); and age, gender, DBP, and systolic blood pressure in ABI (right) (R2=0.133). There were no statistically significant factors in ABI (left). It could be inferred that smoking and drinking are determinants that play an important role in CAVI. Conclusion: CAVI showed a high correlation with gender, age, and blood pressure. A significant correlation between CAVI and serum lipid values could be observed, but this showed a low correlation coefficient. ABI showed a high correlation with age and DBP. These results support the use of CAVI and ABI as primary diagnostic devices in medical treatment.
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Lee et al. (2020) conducted a cross-sectional in Healthy adults (n=535). Cardio-Ankle Vascular Index (CAVI) and Ankle-Brachial Index (ABI) measurement was evaluated on Independent clinical variables associated with CAVI (right) by multiple regression (Adjusted R² 0.357, p=<0.001). In 535 healthy adults, diastolic blood pressure, age, body mass index, gender, and HDL-cholesterol were identified as significant independent factors associated with the right Cardio-Ankle Vascular Index (Adjusted R²=0.357, p<0.001).
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