Identifying Early Vascular Ageing in Patients With Metabolic Syndrome: Unresolved Issues and a Proposed Novel VAmets Score

Abstract

Purpose: To identify the features of early vascular ageing (EVA) in patients with metabolic syndrome (MetS), to assess the accuracy of existing methods for determining vascular age in MetS, and to derive a new score (VAmets) for the calculation of vascular age and predicting EVA in patients with MetS.

Methods: Prospective open cohort study using routinely collected data from general practice. A total of 750 patients (age, 35-80 yrs old) with MetS were examined. EVA syndrome was detected in 484 patients with MetS and carotid-femoral pulse wave velocity (cfPWV) values exceeding average expected for age values by 2 or more standard deviations (SD).

Results: The presence of type 2 diabetes and insulin resistance (IR) were associated with greater risk of EVA in MetS patients; the odds ratios were 2.75 (95% confidence interval [CI]: 2.34, 3.35) and 1.57 (95% CI: 1.16, 2.00), respectively. In addition, the risk of EVA increased by 76% with an increase in homeostatic model assessment ofinsulin resistance (HOMA-IR) by 1 unit, by 17% with an increase in high-sensitivity C-reactive protein (hs-CRP) by 1 mg/L, by 4% with an increase in diastolic blood pressure (DBP) by 1 mmHg, and by 1% with each (1) μmol/L increase in the level of uric acid (UA). The area under the curve (AUC) for predicting EVA in patients with MetS was 0.949 (95% CI: 0.936-0.963), 0.630 (95% CI: 0.589-0.671), 0.697 (95% CI: 0.659-0.736) and 0.686 (95% CI: 0.647-0.726), for vascular age calculated from carotid-femoral pulse wave velocity (cfPWV), Systematic COronary Risk Evaluation (SCORE) scale, QRESEARCH cardiovascular risk algorithm (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: 0.799-0.860). Based on the results of the study, a VAmets calculator was developed for diagnosing EVA in patients with MetS. (The calculator is available online at https://apps.medhub.pro/evams/) CONCLUSION: Carotid-femoral pulse wave velocity is at present the most widely studied index of arterial stiffness and fulfils most of the stringent criteria for a clinically useful biomarker of EVA in patients with MetS. There are parallel efforts for the effective identification and integration of a simple clinical score into clinical practice. Our score (VAmets) may accurately identify patients with MetS and EVA on the basis of widely available clinical variables and classic cardiovascular risk factors, and may assist in prioritising the calculation and use of vascular age in routine care.

Keywords: Arterial stiffness; Cardiovascular risk assessment; Carotid-femoral pulse wave velocity; Metabolic syndrome; Vascular age.