@Article{Dimitrov2016,
journal="Archives of Medical Science - Atherosclerotic Diseases",
issn="2451-0629",
volume="1",
number="1",
year="2016",
title="Metabolic syndrome severity score: range and associations with cardiovascular risk factors",
abstract=" Introduction : Metabolic Syndrome Severity Score (MSSS) is a new clinical prediction rule (CPR) for diagnostic and therapeutic decisions and employs available components (sex, age, race, systolic blood pressure, waistline circumference, high-density lipoprotein, triglycerides and fasting blood glucose). The aim of our work was to perform cross-sectional pilot trial on middle-aged healthy volunteers and patients with metabolic syndrome (MetS) with and without type 2 diabetes mellitus (T2DM) for studying feasibility and implementation of MSSS and its associations with cardiovascular risk factors.   Material and methods:  We approached 64 eligible participants from Bulgaria. The MSSS values, together with demographic, anthropometric, medical history, laboratory findings, CVD risk factors, QRISK2 score for 10-year cardiovascular risk and predicted heart age, were analysed. Descriptive statistics with tests for comparison (e.g., t-test, χ 2 ) between groups as well as ANOVA and logistic regression were applied.   Results : We analysed data from 56 participants (aged 50.11 ±3.43 years). The MSSS was higher in MetS patients (including 6 T2DM patients) than in controls (n = 29; 51.8%) presented as percentiles (69.97% and 34.41%, respectively) and z-scores (0.60 and –0.45, respectively) (p   85%, p < 0.01). For further validation purposes, positive correlations of MSSS with CVD risk factor as diastolic blood pressure (Rho = 0.399; p < 0.003) and QRISK2 score (Rho = 0.524; p < 0.001) or predicted heart age (Rho = 0.368; p < 0.007) were also found.   Conclusions : The pilot study of MSSS in Bulgaria indicated feasibility and consistency of its implementation among patients with metabolic syndrome and/or T2DM and healthy volunteers.",
author="Dimitrov, Borislav D.
and Bahchevanov, Karamfil M.
and Atanassova, Penka A.
and Mitkov, Mitko D.
and Massaldjieva, Radka I.
and Chompalov, Kostadin A.
and Hadzhipetrov, Georgi K.",
pages="90--97",
doi="10.5114/amsad.2016.62137",
url="http://dx.doi.org/10.5114/amsad.2016.62137"
}