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Submitted: 09 Jul 2023
Revision: 09 Mar 2024
Accepted: 01 Jan 2025
ePublished: 18 Mar 2025
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Original Article

The association between serum uric acid levels and the cardiometabolic phenotype among healthcare workers of Tabriz University of Medical Sciences

Mohammadhossein Somi 1 ORCID logo, Negin Frounchi 2, Seyed Sina Zakavi 2, Alireza Ostadrahimi 3, Neda Gilani 4, Elnaz Faramarzi 1* ORCID logo, Sarvin Sanaie 5* ORCID logo

1 Liver and Gastrointestinal Diseases Research Center of Tabriz University of Medical Sciences, Tabriz, Iran
2 Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
3 Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
4 Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
5 Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
*Corresponding Authors: Elnaz Fararmarzi, Email: faramarzie@tbzmed.ac.ir, Email: elnazfaramarzi849@gmail.com; Sarvin Sanie, Email: Sarvin_so2000@yahoo.com

Abstract

Introduction: It is unclear whether hyperuricemia can be considered as an independent risk factor or just as a marker to represent the correlation between uric acid levels and other risk factors of MetS. In this work, we intend to study the correlation between serum uric acid (SUA) and the cardiometabolic phenotype among Tabriz University of Medical Science healthcare workers.

Methods: In this cross-sectional study, anthropometric measurements, serum fasting blood sugar (FBS), triglyceride (TG), cholesterol, high-density lipoprotein (HDL), liver enzymes, blood urea nitrogen (BUN), SUA, creatinine (Cr), and blood pressures of 1,451 healthcare workers were evaluated. MetS was diagnosed based on ATP III. We classified the participants into four cardiometabolic phenotypes: metabolically-healthy lean (MHL), metabolically-unhealthy lean (MUHL), metabolically-healthy obese (MHO), and metabolically-unhealthy obese (MUHO).

Results: MHL (26.6%) and MHO (65.8 %) had the highest prevalence rates in the first and second SUA categories, respectively (P≤0.001). Compared to the lowest SUA category, the odds of MHO and MUHO increased by 3.13 (95% CI 2.21–4.44) and 5.50 (95%CI 3.53–8.57) in the highest category, respectively. This trend was not observed regarding the association between MUHL and the SUA classification.

Conclusion: We propose using the easily-measured SUA level as a marker for early diagnosis of at-risk MUHL and MHO individuals to administer proper interventions. Further prospective studies are needed to identify the effects of SUA on the progression of MetS in various body-size subgroups.


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