﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Cardiovascular and Thoracic Research</JournalTitle>
      <Issn>2008-5117</Issn>
      <Volume>17</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month>03</Month>
        <DAY>18</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>The association between serum uric acid levels and the cardiometabolic phenotype among healthcare workers of Tabriz University of Medical Sciences</ArticleTitle>
    <FirstPage>40</FirstPage>
    <LastPage>48</LastPage>
    <ELocationID EIdType="doi">10.34172/jcvtr.32902</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Mohammadhossein</FirstName>
        <LastName>Somi</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0770-9309</Identifier>
      </Author>
      <Author>
        <FirstName>Negin</FirstName>
        <LastName>Frounchi</LastName>
      </Author>
      <Author>
        <FirstName>Seyed Sina</FirstName>
        <LastName>Zakavi</LastName>
      </Author>
      <Author>
        <FirstName>Alireza</FirstName>
        <LastName>Ostadrahimi</LastName>
      </Author>
      <Author>
        <FirstName>Neda</FirstName>
        <LastName>Gilani</LastName>
      </Author>
      <Author>
        <FirstName>Elnaz</FirstName>
        <LastName>Faramarzi</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-4128-433X</Identifier>
      </Author>
      <Author>
        <FirstName>Sarvin</FirstName>
        <LastName>Sanaie</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-2325-5631</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jcvtr.32902</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>07</Month>
        <Day>09</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2025</Year>
        <Month>01</Month>
        <Day>01</Day>
      </PubDate>
    </History>
    <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.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Abdominal obesity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Uric acid</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Metabolic syndrome</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Body mass index</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>