The Journal of Internal Korean Medicine (대한한방내과학회지)

The Society of Internal Korean Medicine (대한한방내과학회)
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The Relationship between Cardio-Ankle Vascular Index (CAVI), Ankle-Brachial Index (ABI), and Factors Related to Arteriosclerosis

Cardio-Ankle Vascular Index(CAVI), Ankle-Brachial Index(ABI)와 동맥경화 관련 요인과의 상관관계 연구

  • Lee, Gi-hyang (Dept. of Internal Medicine, College of Korean Medicine, Woo-Suk University) ;
  • Kang, Su-bin (Dept. of Oriental Neuropsychiatry, College of Korean Medicine, Woo-Suk University) ;
  • Jeon, Sang-woo (Dept. of Internal Medicine, College of Korean Medicine, Woo-Suk University) ;
  • Kang, Sei-young (Dept. of Internal Medicine, College of Korean Medicine, Woo-Suk University)
  • 이기향 (우석대학교 한의과대학 한방내과학교실) ;
  • 강수빈 (우석대학교 한의과대학 신경정신과학교실) ;
  • 전상우 (우석대학교 한의과대학 한방내과학교실) ;
  • 강세영 (우석대학교 한의과대학 한방내과학교실)
  • Received : 2020.05.30
  • Accepted : 2020.06.24
  • Published : 2020.06.30
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Abstract

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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References

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