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Contribution of cardio-ankle vascular index to prediction of cardiovascular events in the adult urban population: data from the ESSE-RF study (Tomsk)

https://doi.org/10.15829/1728-8800-2021-2967

Abstract

Aim. To determine the role of cardio-ankle vascular index (CAVI) in predicting cardiovascular events (CVEs) in adult Russian population using model of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study (Tomsk).

Material and methods. We analyzed the data of 1342 people aged 25-64 (4,3±11,6) years, in whom arterial stiffness was assessed as part of the ESSE-RF study using the vascular screening system VaSeraVS-1500, followed by phone contacts, on average, 4,7 years later. We studied the prognostic role of CAVI in relation to primary composite (cardiovascular death, nonfatal myocardial infarction (MI) or stroke) and secondary composite (all CVEs) endpoints.

Results. We revealed that prior myocardial infarction or stroke (n=52) is associated with an increase in CVE incidence from 2,3 to 11,5% (p=0,0003) and from 5% to 23% (p<0,001) for primary and secondary composite endpoints, respectively. In a group of 1290 people (without prior MI or stroke), CAVI was significantly higher in men than in women: 7,4±1,4 vs 7,1±1,3 (p=0,002), despite more young age: 45,4±11,8 vs 48,0±11,3 years (p<0,001). The risk criterion for CVE was CAVI >7,8 (relative risk (RR): 5,06; 95% confidence interval (CI): 2,32-11,06) (p<0,001) and (RR: 3,95; 95% CI: 2,37-6,58) (p<0,001), which retains its predictive value when adjusted for conventional risk factors (RR: 3,13; 95% CI: 1,26-7,75) (p=0,014) and (RR: 2,16; 95% CI: 1,18-3,98) (p=0,013) — primary and secondary composite endpoints, respectively.

Conclusion. CAVI has a significant independent value in predicting CVEs in Tomsk adult urban population aged 25-64 years. To clarify the cardiovascular risk, vascular screening with identifying CAVI should be carried out during preventive and screening examinations for men over 35 and women over 45.

About the Authors

A. R. Zairova
National Medical Research Center of Cardiology
Russian Federation

Alsu R. Zairova

Moscow.

Tel.: +7 (909) 630-80-41



A. N. Rogoza
National Medical Research Center of Cardiology
Russian Federation

Anatolij N. Rogoza.

Moscow.



E. V. Oshchepkova
National Medical Research Center of Cardiology
Russian Federation

Elena V. Oshchepkova.

Moscow.



E. B. Yarovaya
Lomonosov Moscow State University; National Medical Research Center for Therapy and Preventive Medicine
Russian Federation

Elena B. Yarovaya.

Moscow.



V. A. Kutsenko
Lomonosov Moscow State University; National Medical Research Center for Therapy and Preventive Medicine
Russian Federation

Vladimir A. Kutsenko.

Moscow.



S. A. Shalnova
National Medical Research Center for Therapy and Preventive Medicine
Russian Federation

Svetlana A. Shalnova.

Moscow.



I. A. Trubacheva
Cardiology Research Institute, Tomsk National Research Medical Center
Russian Federation

Irina A. Trubacheva.

Tomsk.



V. S. Kaveshnikov
Cardiology Research Institute, Tomsk National Research Medical Center
Russian Federation

Vladimir S. Kaveshnikov.

Tomsk.



V. N. Serebryakova
Cardiology Research Institute, Tomsk National Research Medical Center
Russian Federation

Victoriya N. Serebryakova.

Tomsk.



S. A. Boytcov
National Medical Research Center of Cardiology
Russian Federation

Sergey A. Boytsov.

Moscow.



References

1. Laurent S, Cockcroft J, van Bortel L, et al. Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur Heart J. 2006;27:2588-605. doi:10.1093/eurheartj/ehl254.

2. Vasyuk YUA, Ivanova SV, SHkol'nik EL, et al. Consensus of Russian experts on the evaluation of arterial stiffness in clinical practice. Cardiovascular Therapy and Prevention. 2016;15(2):4-19. (In Russ.).

3. Maliha G, Townsend RR. A study of the VaSera arterial stiffness device in US patients. J Clin Hypertens (Greenwich). 2017;19(7):661-8. doi:10.1111/jch.12967.

4. Zairova AR, Rogoza AN. Volumetric sphygmography today. Medicinskij alfavit. Sovremennaya funkcional'naya diagnostika. 2018;4(36):8-18. (In Russ.)

5. Rogoza AN, Zairova AR, Zhernakova YuV, et al. The state of the vascular wall in the adult population of the Russian Federation on the example of residents of Tomsk according to the study ESSE-RF. Systemic Hypertension. 2014;11(4):42-8. (In Russ.)

6. Saiki А, Ohira M, Yamaguchi T, et al. New Horizons of Arterial Stiffness Developed Using Cardio-Ankle Vascular Index (CAVI) J Atheroscler Thromb. 2020 Aug 1;27(8):732-48. doi:10.5551/jat.RV17043.

7. Yingchoncharoen T, Limpijankit T, Jongjirasiri S, et al. Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score) Heart Asia. 2012:77e82. doi:10.1136/heartasia-2011-010079.

8. Satoh-Asahara N, Kotani K, Yamakage H, et al. Cardio-ankle vascular index predicts for the incidence of cardiovascular events in obese patients: a multicenter prospective cohort study (Japan Obesity and Metabolic Syndrome Study: JOMS). Atherosclerosis. 2015;242:461-8. doi:10.1016/j.atherosclerosis.2015.08.003.

9. Sato Y, Nagayama D, Saiki A, et al. Cardio-ankle vascular index is independently associated with future cardiovascular events in outpatients with metabolic disorders. J Atheroscler Thromb. 2016;23:596-605. doi:10.5551/jat.31385.

10. Chung SL, Yang CC, Chen CC, et al. Coronary artery calcium score compared with cardio-ankle vascular index in the predictionof cardiovascular events in asymptomatic patients with type 2 diabetes. J Atheroscler Thromb. 2015;22:1255-65. doi:10.5551/jat.29926.

11. Kato A, Takita T, Furuhashi M, et al. Brachial-ankle pulse wave velocity and the cardio-ankle vascular index as a predictor of cardiovascular outcomes in patients on regular hemodialysis. Ther Apher Dial. 2012;16:232-41. doi:10.1111/j.1744-9987.2012.01058.x.

12. Kusunose K, Sato M, Yamada H, et al. Prognostic implications of non-invasive vascular function tests in high-risk atherosclerosis patients. Circ J. 2016;80:1034-40. doi:10.1253/circj.CJ-15-1356.

13. Laucevicius A, Ryliskyte L, Balsyte J, et al. Association of cardio- ankle vascular index with cardiovascular risk factors and cardiovascular events in metabolic syndrome patients. Medicina. 2015;51:152-8. doi:10.1016/j.medici.2015.05.001.

14. Matsushita K, Ding N, Kim ED, et al. Cardio-ankle vascular index and cardiovascular disease: systematic review and meta-analysis of prospective and cross-sectional studies. J Clin Hypertens (Greenwich). 2019; 21:16-24. doi:10.1111/jch.13425.

15. Scientific Organizing Committee of the ESSE-RF. Epidemiology of cardiovascular diseases in different regions of Russia (ESSE-RF). The rationale for and design of the study. Profilakticheskaya Meditsina. 2013;16(6):25-34. (In Russ.)

16. Arnold BC, Groeneveld RA. Measuring skewness with respect to the mode. Am Stat. 1995;49(1):34-8. doi:10.1080/00031305.1995.10476109.

17. Williams B, Mancia G, Spiering W, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021-104. doi:10.1093/eurheartj/ehy339.

18. Mach F, Baigent C, Catapano AL, et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41(1):111-88. doi:10.1093/eurheartj/ehz455.

19. Conroya RM, Pyorala K, Fitzgeralda AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003;24:987-1003. doi:10.1016/S0195-668X(03)00114-3.

20. Cardiovascular prevention 2017. Russian national guidelines. Russian Journal of Cardiology. 2018;23(6):7-122. (In Russ.)

21. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Statist Med. 2008; 27:157-72. doi:10.1002/sim.2929.

22. Gohbara M, Iwahashi N, Sano Y, et al. Clinical impact of the cardio-ankle vascular index for predicting cardiovascular events after acute coronary syndrome. Circ J. 2016;80:1420-6. doi:10.1253/circj.CJ-15-1257.

23. Kubota Y, Maebuchi D, Makoto Takei M, et al. Cardio-Ankle Vascular Index is a predictor of cardiovascular events. Artery Research. 2011;5(3):91-6. doi:10.1016/j.artres.2011.03.005.

24. Nosov AE, Gorbushina OYu, Vlasova EM, Alekseev VB. Predictive significance of arterial stiffness parameters in identifying patients of very high risk. Kardiologiia. 2020;60(10):27-32. (In Russ.)

25. Ott MV, Sumin AN, Kovalenko AV. Possibilities of using the cardio-ankle vascular index in patients with cerebrovascular diseases. ZHurnal nevrologii i psihiatrii im. S. S. Korsakova. Spec Vypuski. 2020;120(8-2):37-44. (In Russ.)

26. Trifonova SS, Gaisenok OV, Sidorenko BA. Application of methods of assessment of vascular stiffness in clinical practice: the possibility of cardio-ankle vascular index. Kardiologiia. 2015;55(4):61-6. (In Russ.)


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Zairova A.R., Rogoza A.N., Oshchepkova E.V., Yarovaya E.B., Kutsenko V.A., Shalnova S.A., Trubacheva I.A., Kaveshnikov V.S., Serebryakova V.N., Boytcov S.A. Contribution of cardio-ankle vascular index to prediction of cardiovascular events in the adult urban population: data from the ESSE-RF study (Tomsk). Cardiovascular Therapy and Prevention. 2021;20(5):2967. (In Russ.) https://doi.org/10.15829/1728-8800-2021-2967

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ISSN 1728-8800 (Print)
ISSN 2619-0125 (Online)