Model-Based Assessment of the Reference Values of CAVI in Healthy Russian Population and Benchmarking With CAVI0

Author:

Safronova Tatiana1ORCID,Kravtsova Anna23,Vavilov Sergei2,Leon Cristina2ORCID,Bragina Anna1ORCID,Milyagin Victor4ORCID,Makiev Ruslan5ORCID,Sumin Alexei6ORCID,Peskov Kirill278ORCID,Sokolov Victor27ORCID,Podzolkov Valery1ORCID

Affiliation:

1. 2nd Internal Medicine Department, I.M. Sechenov First Moscow State Medical University , Moscow , Russia

2. Modeling and Simulation Decisions LLC , Dubai , UAE

3. Lomonosov Moscow State University , Moscow , Russia

4. Department of Therapy, Ultrasound and Functional Diagnostics, Smolensk State Medical University , Smolensk , Russia

5. S. M. Kirov Military Medical Academy , Saint Petersburg , Russia

6. Laboratory of Comorbidity in Cardiovascular Diseases, Research Institute for Complex Issues of Cardiovascular Diseases , Kemerovo , Russia

7. Scientific Center of Information Technologies and Artificial Intelligence, Sirius University of Science and Technology , Sochi , Russia

8. Center for Mathematical Modeling in Drug Development, I.M. Sechenov First Moscow State Medical University , Moscow , Russia

Abstract

Abstract BACKGROUND Cardio-ankle vascular index (CAVI) and its modified version (CAVI0) are promising non-invasive markers of arterial stiffness, extensively evaluated primarily in the Japanese population. In this work, we performed a model-based analysis of the association between different population characteristics and CAVI or CAVI0 values in healthy Russian subjects and propose a tool for calculating the range of reference values for both types of indices. METHODS The analysis was based on the data from 742 healthy volunteers (mean age 30.4 years; 73.45% men) collected from a multicenter observational study. Basic statistical analysis [analysis of variance, Pearson’s correlation (r), significance tests] and multivariable linear regression were performed in R software (version 4.0.2). Tested covariates included age, sex, BMI, blood pressure, and heart rate (HR). RESULTS No statistically significant difference between healthy men and women were observed for CAVI and CAVI0. In contrast, both indices were positively associated with age (r = 0.49 and r = 0.43, P < 0.001), however, with no clear distinction between subjects of 20–30 and 30–40 years old. Heart rate and blood pressure were also identified as statistically significant predictors following multiple linear regression modeling, but with marginal clinical significance. Finally, the algorithm for the calculation of the expected ranges of CAVI in healthy population was proposed, for a given age category, HR and pulse pressure (PP) values. CONCLUSIONS We have evaluated the quantitative association between various population characteristics, CAVI, and CAVI0 values and established a method for estimating the subject-level reference CAVI and CAVI0 measurements.

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

Oxford University Press (OUP)

Subject

Internal Medicine

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