Which Clusters of Metabolic Syndrome Are the Most Associated with Serum Uric Acid?

Jurgita Mikolaitytė; Jolita Badarienė; Roma Puronaitė; Alma Čypienė; Irma Rutkauskienė; Jolanta Dadonienė; Aleksandras Laucevičius

doi:10.3390/medicina58020297

Which Clusters of Metabolic Syndrome Are the Most Associated with Serum Uric Acid?

Medicina (Kaunas). 2022 Feb 16;58(2):297. doi: 10.3390/medicina58020297.

Authors

Jurgita Mikolaitytė¹, Jolita Badarienė^{1

2}, Roma Puronaitė^{2

3

4}, Alma Čypienė^{1

2}, Irma Rutkauskienė⁴, Jolanta Dadonienė⁵, Aleksandras Laucevičius^{1

2}

Affiliations

¹ State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania.
² Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania.
³ Faculty of Mathematics and Informatics, Institute of Data Science and Digital Technologies, Vilnius University, LT-03225 Vilnius, Lithuania.
⁴ Centre of Cardiology and Angiology, Vilnius University Hospital Santaros Klinikos, LT-08661 Vilnius, Lithuania.
⁵ Clinic of Reumatology, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania.

Abstract

Background and Objectives: Metabolic syndrome is defined as three or more of five components; therefore, there are 16 possible different clusters of metabolic risk factors that are under one diagnosis of metabolic syndrome. In this study, we evaluated the different clusters of metabolic syndrome (MetS) across serum uric acid (SUA) quartiles and analyzed the association of these clusters with SUA levels, respectively, in both men and women. Materials and Methods: A total of 606 subjects were recruited to a cross-sectional study from the ongoing Lithuanian High Cardiovascular Risk primary prevention program (LitHiR). All of the study subjects were diagnosed with MetS (according to the 2005 National Cholesterol Education Program Adult Treatment Panel III MetS definition). Results: In the middle-aged population of patients with MetS living in Lithuania, a high proportion of hyperuricaemia was detected-35.5% (95% Cl 31.7% to 39.4%). For women possessing all five MetS components, the chances of having hyperuricaemia are 2.807 higher than for women with three risk factors (p < 0.001). However, men do not have a statistically significantly higher chance of having hyperuricaemia, depending on the number of MetS components in our population. Using multivariable models, the statistically significant chance of having hyperuricaemia was observed only in women possessing all five MetS components (OR = 2.386, p < 0.0001), compared to any other of 15 MetS clusters. After adjustment for age and sex, the chance of having hyperuricaemia for individuals with the cluster of all five MetS components, compared to any other of 15 MetS clusters, remained (OR = 1.982, p = 0.001). Also, a lower probability (OR = 0.653, p = 0.039) of having hyperuricaemia was observed for individuals having the combination of abnormal plasma glucose, blood pressure, and waist circumference. Conclusions: Patients with the clustering of all five metabolic syndrome components are at higher risk for having hyperuricaemia than patients with any other combination of MetS clusters. This risk is even higher for women. It could be beneficial for patients presented with all five MetS components to be screened for SUA concentration in the primary CVD prevention program.

Keywords: clusters of cardiovascular risk factors; hyperuricaemia; metabolic syndrome; uric acid.

MeSH terms

Adult
Cross-Sectional Studies
Female
Humans
Hyperuricemia* / epidemiology
Male
Metabolic Syndrome* / complications
Middle Aged
Risk Factors
Sex Factors
Uric Acid

Substances

Uric Acid