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ORIGINAL ARTICLE
Gazzetta Medica Italiana - Archivio per le Scienze Mediche 2019 June;178(6):380-5
DOI: 10.23736/S0393-3660.18.03790-7
Copyright © 2018 EDIZIONI MINERVA MEDICA
language: English
Early vascular aging: prevalence in Russian population according to different assessment methods
Alexander V. ORLOV 1 ✉, Natalia A. SOLDATENKOVA 1, Oxana P. ROTAR 1, Asiyat S. ALIEVA 1, Maria A. BOYARINOVA 1, Ekaterina V. MOGUCHAYA 1, Anatoly N. ROGOZA 2, Aleksandra O. KONRADI 1, 3
1 Almazov National Medical Research Centre, Saint Petersburg, Russia; 2 Russian Cardiology Research and Production Complex, Moscow, Russia; 3 ITMO University, Saint-Petersburg, Russia
BACKGROUND: The aim of our study was to evaluate a prevalence of early vascular aging (EVA) syndrome and its risk factors, using different methods of arterial stiffness assessment.
METHODS: A random selection of 481 apparently healthy Saint-Petersburg inhabitants aged 25-65 years was performed. Fasting lipids, glucose and blood pressure measurements were performed. We used 3 definitions of EVA syndrome - if vascular age calculated from CAVI exceeded the biological age ≥4 years (EVAvas), if cfPWV-S exceeded 2SD for corresponding age group in Russian population (EVAsphRus), if cfPWV-S exceed 2SD reference value PWV stratified by age (EVAsphRef).
RESULTS: Prevalence of EVA according to EVAvas criteria (82 [17%]) was higher comparing to EVAsphRef (36 [7.5%]) and EVAsphRus (14 [2.9%]), kappa index of criteria agreement was low - 0.08. A higher probability of EVA syndrome, according to EVAsphRef and EVAsphRus, was in subjects with hypertension (OR 2.76 and 11.4), hyperlipidemia (OR=2.5 and OR=3.9), and diabetes type 2 (OR=3.9 and OR=5.9). The probability of EVA according to EVAvas was higher only in case of hypertension (OR=2.6).
CONCLUSIONS: This research emphasizes importance of vascular assessment using different methods of arterial stiffness determination and age consideration, blood pressure level and metabolic profile.
KEY WORDS: Aging; Vascular stiffness; Pulse wave analysis