Metabolic syndrome severity score: range and associations with cardiovascular risk factors
Metabolic syndrome severity score: range and associations with cardiovascular risk factors
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, c2) 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 < 0.05). The logistic regression model of MSSS indicated a positive association with MetS/T2DM cases (correctness > 85%, p < 0.01). For further validation purposes, positive correlations of MSSS with CVDrisk 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.
e90-e97
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Bahchevanov, Karamfil M.
922de368-0add-4ee4-a4d1-8d4aa409c00b
Atanassova, Penka A.
db224499-1eca-4548-8968-57f905c4582a
Mitkov, Mitko D.
810f28b8-bea2-4b31-985b-ae507d7da76c
Massaldjieva, Radka I.
bb8e2b78-cb98-4710-bb7c-a837c6d6e561
Chompalov, Kostadin A.
dd3c352e-aac7-4ff7-917e-78f6e8da11e6
Hadzhipetrov, Georgi K.
2389707b-57ea-4834-b1b8-2a6252b6d113
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Bahchevanov, Karamfil M.
922de368-0add-4ee4-a4d1-8d4aa409c00b
Atanassova, Penka A.
db224499-1eca-4548-8968-57f905c4582a
Mitkov, Mitko D.
810f28b8-bea2-4b31-985b-ae507d7da76c
Massaldjieva, Radka I.
bb8e2b78-cb98-4710-bb7c-a837c6d6e561
Chompalov, Kostadin A.
dd3c352e-aac7-4ff7-917e-78f6e8da11e6
Hadzhipetrov, Georgi K.
2389707b-57ea-4834-b1b8-2a6252b6d113
Dimitrov, Borislav D., Bahchevanov, Karamfil M., Atanassova, Penka A., Mitkov, Mitko D., Massaldjieva, Radka I., Chompalov, Kostadin A. and Hadzhipetrov, Georgi K.
(2016)
Metabolic syndrome severity score: range and associations with cardiovascular risk factors.
Archives of Medical Sciences - Atherosclerotic Diseases, 1, .
(doi:10.5114/amsad.2016.62137).
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, c2) 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 < 0.05). The logistic regression model of MSSS indicated a positive association with MetS/T2DM cases (correctness > 85%, p < 0.01). For further validation purposes, positive correlations of MSSS with CVDrisk 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.
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Accepted/In Press date: 22 August 2016
e-pub ahead of print date: 6 September 2016
Organisations:
Primary Care & Population Sciences
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Local EPrints ID: 403132
URI: http://eprints.soton.ac.uk/id/eprint/403132
ISSN: 2451-0629
PURE UUID: 1cc953da-d10d-4e56-a3d2-8ac241430fac
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Date deposited: 24 Nov 2016 15:24
Last modified: 15 Mar 2024 03:35
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Contributors
Author:
Borislav D. Dimitrov
Author:
Karamfil M. Bahchevanov
Author:
Penka A. Atanassova
Author:
Mitko D. Mitkov
Author:
Radka I. Massaldjieva
Author:
Kostadin A. Chompalov
Author:
Georgi K. Hadzhipetrov
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