The impact of individual characteristics of the carotid arteries and heart on disease development

Khalilov M.A., Moshkin A.S., Moshkina L.V., Shmeleva S.V., Tuzov I.N., Belyakova N.V., Khromov S.E.

1) Orel State University named after I.S. Turgenev, Orel, Russia; 2) K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia; 3) Russian State Social University, Moscow, Russia; 4) State University of Management, Moscow, Russia

Background: Cardiovascular diseases occupy a leading place in the structure of diseases in older adults, which is also associated with lifestyle changes. Timely and early diagnosis enables active preventive measures, slowing disease progression, and reducing the incidence and severity of potential complications.
Objective: Identification of patterns in the changes observed in the main arteries of the neck and heart using ultrasound data.
Materials and methods: A retrospective analysis of Doppler ultrasonography and echocardiography results of the main arteries of the neck was conducted in 248 volunteers (59.1 ± 10.3 years old). Six groups were formed based on echocardiographic changes.
Results: A relationship between the severity of changes in the vascular wall and the heart valvular apparatus and the age and gender of the patients was found. The greatest number of statistically significant differences were observed for the thickness of the posterior wall of the left ventricle. The largest diameter of the common carotid and vertebral arteries, the thickness of the interventricular septum, the posterior wall of the left ventricle, and the systolic diameter of the left ventricle were found in Group 4. Group 1 had the largest left ventricular diameter during diastole. Group 2 had the largest diameter of the external carotid artery. Group 5 had the highest left ventricular ejection fraction values. Group 6 had the largest internal carotid artery diameter.
Conclusion: The study results will be used in the development of a specialized algorithm for personalized diagnostics as a decision-making tool in clinical practice.

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About the Authors

M.A. Khalilov, Dr. Sci. (Med.), Professor, Orel State University named after I.S. Turgenev, Orel, Russia; ORCID: https://orcid.org/0000-0003-3529-0557
A.S. Moshkin, Dr. Sci. (Med.), Professor, Orel State University named after I.S. Turgenev, Orel, Russia; ORCID: https://orcid.org/0000-0003-2085-0718
L.V. Moshkina, Cand. Sci. (Med.), Orel State University named after I.S. Turgenev, Orel,, Russia; ORCID: https://orcid.org/0009-0008-1328-1880
Svetlana V. Shmeleva, Dr. Sci. (Med.), Professor, K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia; 89151479832@mail.ru, ORCID: https://orcid.org/0000-0003-0390-194X (corresponding author)
I.N. Tuzov, Cand. Sci. (Pedagogy), Associate Professor, Russian State Social University, Moscow; ORCID: https://orcid.org/0000-0002-5789-7838
N.V. Belyakova, Cand.Sci. (Psychology), Associate Professor, K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia; ORCID: https://orcid.org/0000-0001-7116-9389
S.E. Khromov, Cand. Sci. (Pedagogy), Associate Professor, State University of Management, Moscow, Russia; ORCID: https://orcid.org/0000-0002-5001-8503

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