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Research Article| Volume 138, P113-118, April 2018

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Detection of relationships between SUDOSCAN with estimated glomerular filtration rate (eGFR) in Chinese patients with type 2 diabetes

  • Author Footnotes
    1 These authors contributed equally to this work.
    Fei Mao
    Footnotes
    1 These authors contributed equally to this work.
    Affiliations
    Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
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  • Author Footnotes
    1 These authors contributed equally to this work.
    Xiaoming Zhu
    Footnotes
    1 These authors contributed equally to this work.
    Affiliations
    Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
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  • Bin Lu
    Correspondence
    Corresponding authors at: Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China (Y. Li).
    Affiliations
    Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
    Search for articles by this author
  • Yiming Li
    Correspondence
    Corresponding authors at: Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China (Y. Li).
    Affiliations
    Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China

    Department of Endocrinology and Metabolism, Jing’an District Center Hospital of Shanghai, China
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  • Author Footnotes
    1 These authors contributed equally to this work.
Published:February 03, 2018DOI:https://doi.org/10.1016/j.diabres.2018.01.036
Detection of relationships between SUDOSCAN with estimated glomerular filtration rate (eGFR) in Chinese patients with type 2 diabetes
Previous ArticleAssociation of hyperglycemic crisis with an increased risk of end-stage renal disease: A nationwide population-based cohort study
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      Abstract

      Objective

      SUDOSCAN (Impeto Medical, Paris, France) has been proved to be a new and non-invasive method in detecting renal dysfunction in type 2 diabetes mellitus (T2DM) patients. In this study, we sought to compare the result of diabetic kidney dysfunction score (DKD-score) of SUDOSCAN with estimated glomerular filtration rate (eGFR) by using quantile regression analysis, which was completely different from previous studies.

      Methods

      A total number of 223 Chinese T2DM patients were enrolled in the study. SUDOSCAN, renal function test (including blood urea nitrogen, creatinine and uric acid) and 99mTc-diethylenetriamine pentaacetic acid (99mTc-DTPA) renal dynamic imaging were performed in all T2DM patients. DKD-score of SUDOSCAN was compared with eGFR detected by 99mTc-DTPA renal dynamic imaging through quantile regression analysis. Its validation and utility was further determined through bias and precision test.

      Results

      The quantile regression analysis demonstrated the relationship with eGFR was inverse and significant for almost all percentiles of DKD-score. The coefficients decreased as the percentile of DKD-score increased. And in validation data set, both the bias and precision were increased with the eGFR (median difference, −21.2 ml/min/1.73 m2 for all individuals vs. −4.6 ml/min/1.73 m2 for eGFR between 0 and 59 ml/min/1.73 m2; interquartile range [IQR] for the difference, −25.4 ml/min/1.73 m2 vs. −14.7 ml/min/1.73 m2). The eGFR category misclassification rate were 10% in eGFR 0–59 ml/min/1.73 m2 group, 57.3% in 60–90 group, and 87.2% in eGFR > 90 ml/min/1.73 m2 group.

      Conclusion

      DKD-score of SUDOSCAN could be used to detect renal dysfunction in T2DM patients. A higher prognostic value of DKD-score was detected when eGFR level was lower.

      Abbreviations:

      T2DM (type 2 diabetes mellitus), BMI (body mass index), DKD (diabetic kidney dysfunction), WHR (waist hip ratio), SBP (systolic blood pressure), DBP (diastolic blood pressure), HbA1c (Hemoglobin A1c), BUN (blood urea nitrogen), GFR (glomerular filtrate rate), ESC (electrochemical skin conductance), eGFR (estimated glomerular filtrate rate), CI (confidence interval), MDRD (modification of diet in renal disease), EPI (epidemiology collaboration), EA (European Americans), AA (African Americans), μS (micro-Siemens), IQR (interquartile range), UACR (urine albumin: creatinine ratio), 99mTc-DTPA (99mTc-diethylenetriamine pentaacetic acid)

      Keywords

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      Article info

      Publication history

      Published online: February 03, 2018
      Accepted: January 30, 2018
      Received in revised form: December 13, 2017
      Received: July 24, 2017

      Identification

      DOI: https://doi.org/10.1016/j.diabres.2018.01.036

      Copyright

      © 2018 Elsevier B.V. All rights reserved.

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