Abstract

Purpose: identifying the causes of early vascular aging (EVA) in patients with metabolic syndrome (MetS), assessing the relationship between vascular age and various metabolic disorders, the severity of metabolic syndrome , tissue and circulating risk markers, the severity of non-infectious inflammation, and derive a new score for calculation vascular age and predicting early vascular aging in patients with metabolic syndrome.Materials and methods: а total of 750 patients aged 35 to 80 years with metabolic syndrome were examined. Early vascular aging syndrome was detected in 484 patients with metabolic syndrome and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD.Results: Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of early vascular aging, the risk of having early vascular aging increased by 76% with an increase in HOMA-IR by 1 unit, by 17% with an increase in carotid-femoral pulse wave velocity by 1 mg/l, by 4% with an increase in DBP by 1 mm Hg, and by 1% with each 1 pmol / L increase in the level of UA. For vascular age, calculated from carotid-femoral pulse wave velocity, SCORE scale, QRISK-3 scale and Framingham scale, respectively. Diabetes mellitus and clinical markers of IR (yes/no), HOMA-IR and UA level were used to develop a new VAmets score for EVA prediction providing a total accuracy of 0.830 (95% CI 0,799 to 0,860).Conclusion: parallel efforts for effective integration simple clinical score into clinical practice have been offered. Our score (VAmets) may accurately identify patients with metabolic syndrome and early vascular aging on the basis of widely available clinical variables and classic cardiovascular risk factors can prioritize using of vascular age in routine care.

Highlights

  • Purpose: identifying the causes of early vascular aging (EVA) in patients with metabolic syndrome (MetS), assessing the relationship between vascular age and various metabolic disorders, the severity of metabolic syndrome, tissue and circulating risk markers, the severity of non-infectious inflammation, and derive a new score for calculation vascular age and predicting early vascular aging in patients with metabolic syndrome

  • Vascular aging syndrome was detected in 484 patients with metabolic syndrome and carotid-femoral pulse wave velocity values exceeding expected for average age values by 2 or more SD

  • Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of early vascular aging, the risk of having early vascular aging increased by 76% with an

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Summary

ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ

СИНДРОМ РАННЕГО СОСУДИСТОГО СТАРЕНИЯ У ПАЦИЕНТОВ С МЕТАБОЛИЧЕСКИМ СИНДРОМОМ: ОСОБЕННОСТИ ТЕЧЕНИЯ И ДИАГНОСТИКИ. Синдром раннего сосудистого старения выявлен у 484 пациентов с метаболическим синдромом и скоростью пульсовой волны на каротидно-феморальном участке (СПВкф), превышающими ожидаемые для среднего возраста значения на 2 или более стандартных отклонения. Наличие сахарного диабета 2 типа и клинических маркеров инсулинорезистентности, индекс HOMA-IR и мочевая кислота были использованы для разработки новой методики выявления синдрома раннего сосудистого старения у пациентов с метаболическим синдромом, обеспечивающей общую точность 0,830 (95% ДИ 0,799–0,860). EARLY VASCULAR AGING IN PATIENTS WITH METABOLIC SYNDROME: FEATURES OF THE COURSE AND DIAGNOSIS. Vascular aging syndrome was detected in 484 patients with metabolic syndrome and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD. Results: Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of early vascular aging, the risk of having early vascular aging increased by 76% with an

South Russian Journal of Therapeutic Practice
Материал и методы
Среднее значение СПВкф
Статистические методы анализа данных
Получают антигипертензивную терапию
СВспв СВscore СВмс
Информация об авторах
Findings
Information about the authors

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