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Updated: Feb 19, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Multimarker Assessment of Diastolic Dysfunction in Metabolic Syndrome Patients
Mihaela Mocan1,2, Florin Anton1,3, Șoimița Suciu4
11 Department of Internal Medicine, University of Medicine and Pharmacy Iuliu Hatieganu Cluj-Napoca , Cluj-Napoca, Romania .
Background:
Metabolic syndrome (MetS) has been associated with left ventricular diastolic dysfunction (LVDD) with preserved systolic function. This study aims at identifying the predictive factors for LVDD in MetS patients.
Methods:
The studied group comprised 72 consecutive hospitalized patients (2010-2011) diagnosed with MetS based on AHA/NHLBI/IDF 2009 definition, free of cardiovascular disease (36.11% males, age 59.19 ± 5.26 years), who underwent echocardiographic examination. Laboratory measurements of high-sensitivity C-reactive protein (hs-CRP), fibrinogen (Fbg) and interleukin-6 (IL-6), 8-isoprostaglandin-F2alpa (8-isoPGF2α), uric acid, glutathione peroxidases, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were measured.
Results:
LVDD was identified in 47 (65.27%) of the MetS patients. The diastolic blood pressure (DBP) was the strongest prediction factor for LVDD (areas under the receiver operating curve [AUC]: 0.73, odds ratios [OR]: 1.065). The number of MetS criteria was also significantly predictive for LVDD (AUC: 0.65, OR: 2.029, P < 0.04). IL-6, hs-CRP, Fbg, and NT-proBNP were predictive for LVDD when receiver operating curve (ROC) analyses were used. The multimarker model comprising age, sex, SBP and DBP, waist, circumference, triglycerides along with hs-CRP, IL-6, and NT-proBNP had the best predictive capacity (AUC: 0.88, P = 0.0001). In multivariate analysis, IL-6 remained an independent predictive biomarker for LVDD (OR: 2.045).
Conclusion:
Both MetS components and biomarkers of inflammation (IF) are predictive factors for LVDD. The best predictive multimarker model for LVDD in MetS patients is composed of waist, triglycerides (TGL), SBP, DBP, fasting glucose, IL-6, hs-CRP, and NT-proBNP. IL-6 remains an independent predictive biomarker for LVDD in MetS patients, underlining the importance of IF in the evolution of MetS to subclinical cardiac damage.

