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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Society of Diabetic Nephropathy Prevention</PublisherName>
      <JournalTitle>Journal of Nephropathology</JournalTitle>
      <Issn>2251-8363</Issn>
      <Volume>15</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month>01</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Associated factors of kidney disease index among patients with type 2 diabetes mellitus; a cross-sectional study in Vietnam</ArticleTitle>
    <FirstPage>e27653</FirstPage>
    <LastPage>e27653</LastPage>
    <ELocationID EIdType="doi">10.34172/jnp.2025.27653</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Tuan Quoc</FirstName>
        <LastName>Le</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0002-0485-1665</Identifier>
      </Author>
      <Author>
        <FirstName>Khanh Minh</FirstName>
        <LastName>Thanh</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-8129-4156</Identifier>
      </Author>
      <Author>
        <FirstName>Tien Van</FirstName>
        <LastName>Tran</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0000-8133-8027</Identifier>
      </Author>
      <Author>
        <FirstName>Truc Quynh</FirstName>
        <LastName>Doan</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0006-1790-6273</Identifier>
      </Author>
      <Author>
        <FirstName>Ngan My</FirstName>
        <LastName>Tang</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0001-4427-4375</Identifier>
      </Author>
      <Author>
        <FirstName>Khang Minh</FirstName>
        <LastName>Le Dang</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0009-2875-1475</Identifier>
      </Author>
      <Author>
        <FirstName>Minh Thi</FirstName>
        <LastName>Hoang</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-7638-0554</Identifier>
      </Author>
      <Author>
        <FirstName>Tinh Thi</FirstName>
        <LastName>Hoang</LastName>
      </Author>
      <Author>
        <FirstName>Loan Thanh</FirstName>
        <LastName>Pham</LastName>
      </Author>
      <Author>
        <FirstName>Ha Thi</FirstName>
        <LastName>Hoang Do</LastName>
      </Author>
      <Author>
        <FirstName>Thuan Quang</FirstName>
        <LastName>Huynh</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0162-171X</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jnp.2025.27653</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>05</Month>
        <Day>23</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2025</Year>
        <Month>08</Month>
        <Day>08</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: The kidney disease index (KDI), a novel index combining estimated glomerular filtration rate (eGFR) and urinary albumin/creatinine ratio (UACR), has been proposed as a potential clinical tool for accurately assessing kidney function. This may aid in the better prediction of cardiovascular events in type 2 diabetes mellitus (DM) patients. Objectives: This study aims to investigate the mean value of the KDI and to evaluate the association between KDI, clinical, and paraclinical factors, and the 10-year cardiovascular risk in type 2 diabetes patients. Patients and Methods: A cross-sectional descriptive study was conducted on 87 individuals (42 males and 45 females) diagnosed with type 2 DM. Fasting blood samples were taken to measure fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), blood lipid profile, creatinine, and cystatin C levels. Spot urine samples were collected to assess urinary albumin, creatinine, and UACR. The eGFR values were calculated using the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Creatinine-Cystatin C equation. KDI was calculated as the geometric mean of 1/eGFR and the natural logarithmic transformation of (100×UACR). Traditional cardiovascular disease risk factors were included in calculating the 10-year cardiovascular risk, based on the Framingham risk score. Results: The results show that the mean value of KDI was 0.54±0.28. Independently associated factors with KDI were age (P=0.044), duration of DM (P&lt; 0.001), high-density lipoprotein cholesterol (HDL-c) (P=0.008), and HbA1c (P= 0.001). The correlation between the 10-year cardiovascular disease risk, as determined by the Framingham risk score, and KDI (r = 0.294, P=0.024) was stronger than that of eGFR (r = -0.257, P=0.049) but not UACR (r = 0.182, P=0.168). Conclusion: Adhering to recommendations for screening kidney function and injury in type 2 DM patients who are of advanced age, have a long duration of DM, have low plasma HDL-c levels, and high HbA1c levels is crucial. The potential inclusion of KDI in the prognostic models for adverse events, particularly cardiovascular disease and mortality, may provide additional insight alongside routine tests such as eGFR and UACR.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Kidney disease index</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Estimated glomerular filtration rate</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Urinary albumin-creatinine ratio</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Type 2 diabetes mellitus</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>