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Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes

Received: 12 April 2019     Accepted: 23 June 2019     Published: 17 March 2020
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Abstract

To compare different methods of estimating glomerular filtration rate (GFR) calculated by creatinine and cystatin C in patients with type 1 diabetes with normal and moderately decreased renal filtration function. The study involved 57 patients with type 1 diabetes, 37 men and 20 women, aged from 21 to 57 years (median 30 years), with disease duration after diagnosis from 33 to 2 years (median 8 years). The control group comprised 15 non-diabetic people aged 19 to 42 years (median – 28 years), with normal levels of albuminuria and blood creatinine. The majority of patients with type 1 diabetes were found to have decompensated diabetes mellitus. The mean value of glycated hemoglobin in patients was 8%. The renal glomerular function was estimated by level of GFR and triple testing of urine albumin excretion. Renal tubular function in type 1 diabetes was tested by examining serum cystatin C. GFR estimating equations, which did not include serum of cystatin C produced higher GFR. As a result, the majority of patients had normal or elevated GFR showing hyperfiltration. Using cystatin-C-based equations resulted in a several-fold reduction in the number of patients with hyperfiltration and increased number of cases with GFR below 90 ml/min/m2. The assessment of the relationship between SDMA and GFR showed negative correlation with both cystatin-C-based and creatinine-based equations. These findings revealed that GFR estimating equations based on both creatinine and cystatin C produce more accurate results compared with the reference estimating equations.

Published in American Journal of Internal Medicine (Volume 8, Issue 2)
DOI 10.11648/j.ajim.20200802.15
Page(s) 73-77
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Diabetic Nephropathy, Type 1 Diabetes, Cystatin C, Symmetric Dimethylarginine

References
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Cite This Article
  • APA Style

    M. V. Kaplanian, A. B. Hodzhayan, M. G. Gevandova, K. S. Elbekyan, E. V. Kaplanova, et al. (2020). Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes. American Journal of Internal Medicine, 8(2), 73-77. https://doi.org/10.11648/j.ajim.20200802.15

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    ACS Style

    M. V. Kaplanian; A. B. Hodzhayan; M. G. Gevandova; K. S. Elbekyan; E. V. Kaplanova, et al. Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes. Am. J. Intern. Med. 2020, 8(2), 73-77. doi: 10.11648/j.ajim.20200802.15

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    AMA Style

    M. V. Kaplanian, A. B. Hodzhayan, M. G. Gevandova, K. S. Elbekyan, E. V. Kaplanova, et al. Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes. Am J Intern Med. 2020;8(2):73-77. doi: 10.11648/j.ajim.20200802.15

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  • @article{10.11648/j.ajim.20200802.15,
      author = {M. V. Kaplanian and A. B. Hodzhayan and M. G. Gevandova and K. S. Elbekyan and E. V. Kaplanova and K. R. Amlaev},
      title = {Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes},
      journal = {American Journal of Internal Medicine},
      volume = {8},
      number = {2},
      pages = {73-77},
      doi = {10.11648/j.ajim.20200802.15},
      url = {https://doi.org/10.11648/j.ajim.20200802.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajim.20200802.15},
      abstract = {To compare different methods of estimating glomerular filtration rate (GFR) calculated by creatinine and cystatin C in patients with type 1 diabetes with normal and moderately decreased renal filtration function. The study involved 57 patients with type 1 diabetes, 37 men and 20 women, aged from 21 to 57 years (median 30 years), with disease duration after diagnosis from 33 to 2 years (median 8 years). The control group comprised 15 non-diabetic people aged 19 to 42 years (median – 28 years), with normal levels of albuminuria and blood creatinine. The majority of patients with type 1 diabetes were found to have decompensated diabetes mellitus. The mean value of glycated hemoglobin in patients was 8%. The renal glomerular function was estimated by level of GFR and triple testing of urine albumin excretion. Renal tubular function in type 1 diabetes was tested by examining serum cystatin C. GFR estimating equations, which did not include serum of cystatin C produced higher GFR. As a result, the majority of patients had normal or elevated GFR showing hyperfiltration. Using cystatin-C-based equations resulted in a several-fold reduction in the number of patients with hyperfiltration and increased number of cases with GFR below 90 ml/min/m2. The assessment of the relationship between SDMA and GFR showed negative correlation with both cystatin-C-based and creatinine-based equations. These findings revealed that GFR estimating equations based on both creatinine and cystatin C produce more accurate results compared with the reference estimating equations.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Application of Various Equations for Estimating GFR in Patients with Type 1 Diabetes
    AU  - M. V. Kaplanian
    AU  - A. B. Hodzhayan
    AU  - M. G. Gevandova
    AU  - K. S. Elbekyan
    AU  - E. V. Kaplanova
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    Y1  - 2020/03/17
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    N1  - https://doi.org/10.11648/j.ajim.20200802.15
    DO  - 10.11648/j.ajim.20200802.15
    T2  - American Journal of Internal Medicine
    JF  - American Journal of Internal Medicine
    JO  - American Journal of Internal Medicine
    SP  - 73
    EP  - 77
    PB  - Science Publishing Group
    SN  - 2330-4324
    UR  - https://doi.org/10.11648/j.ajim.20200802.15
    AB  - To compare different methods of estimating glomerular filtration rate (GFR) calculated by creatinine and cystatin C in patients with type 1 diabetes with normal and moderately decreased renal filtration function. The study involved 57 patients with type 1 diabetes, 37 men and 20 women, aged from 21 to 57 years (median 30 years), with disease duration after diagnosis from 33 to 2 years (median 8 years). The control group comprised 15 non-diabetic people aged 19 to 42 years (median – 28 years), with normal levels of albuminuria and blood creatinine. The majority of patients with type 1 diabetes were found to have decompensated diabetes mellitus. The mean value of glycated hemoglobin in patients was 8%. The renal glomerular function was estimated by level of GFR and triple testing of urine albumin excretion. Renal tubular function in type 1 diabetes was tested by examining serum cystatin C. GFR estimating equations, which did not include serum of cystatin C produced higher GFR. As a result, the majority of patients had normal or elevated GFR showing hyperfiltration. Using cystatin-C-based equations resulted in a several-fold reduction in the number of patients with hyperfiltration and increased number of cases with GFR below 90 ml/min/m2. The assessment of the relationship between SDMA and GFR showed negative correlation with both cystatin-C-based and creatinine-based equations. These findings revealed that GFR estimating equations based on both creatinine and cystatin C produce more accurate results compared with the reference estimating equations.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Stavropol State Medical University of Russian Ministry of Health, Stavropol, Russian Federation

  • Stavropol State Medical University of Russian Ministry of Health, Stavropol, Russian Federation

  • Stavropol State Medical University of Russian Ministry of Health, Stavropol, Russian Federation

  • Stavropol State Medical University of Russian Ministry of Health, Stavropol, Russian Federation

  • Kuban State University, Krasnodar, Russian Federation

  • Stavropol State Medical University of Russian Ministry of Health, Stavropol, Russian Federation

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