Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations

Namki Hong, Jaewon Oh, Yong ho Lee, Jong Chan Youn, Sungha Park, Sang Hak Lee, Yangsoo Jang, Namsik Chung, Soyoon Kim, Sun Ha Jee, seokmin kang

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background: Targeting metabolic syndrome (MetS) in early chronic kidney disease (CKD) is essential to reduce cardiovascular complications. We compared the association of kidney function estimated by two glomerular filtration rate (GFR) equations with MetS in community population. Methods: We analyzed 12,700 participants from 2009 to 2010 the Korea National Health Survey data. GFR was estimated using the CKD Epidemiology Collaboration equation (GFRCKD-EPI) and the Modification of Diet in Renal Disease study equation (GFRMDRD). Results: The prevalence of MetS increased from the highest GFR category (>105ml/min/1.73m2) to the lowest (<60ml/min/1.73m2) using both equations (GFRCKD-EPI, 14.1% to 62.3%; GFRMDRD, 18.4% to 62.9%). Participants reclassified to higher GFRCKD-EPI category (upward) from GFRMDRD had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7%, P<0.001). Compared with GFR ≥105ml/min/1.73m2, mildly impaired GFRCKD-EPI (75-89ml/min/1.73m2) was independently associated with increased odds of MetS (OR 1.30, 95% CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFRMDRD was not (OR 1.08, 95% CI 0.92-1.27, P=0.344). Conclusions: Compared with GFRMDRD, GFRCKD-EPI showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFRCKD-EPI may improve risk stratification of individuals with MetS according to kidney function in community-based population.

Original languageEnglish
Pages (from-to)157-162
Number of pages6
JournalClinica Chimica Acta
Volume429
DOIs
Publication statusPublished - 2014 Feb 15

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Glomerular Filtration Rate
Chronic Renal Insufficiency
Diet Therapy
Nutrition
Kidney
Population
Epidemiology
Korea
Health Surveys
Multivariate Analysis

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Clinical Biochemistry
  • Biochemistry, medical

Cite this

Hong, Namki ; Oh, Jaewon ; Lee, Yong ho ; Youn, Jong Chan ; Park, Sungha ; Lee, Sang Hak ; Jang, Yangsoo ; Chung, Namsik ; Kim, Soyoon ; Jee, Sun Ha ; kang, seokmin. / Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations. In: Clinica Chimica Acta. 2014 ; Vol. 429. pp. 157-162.
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title = "Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations",
abstract = "Background: Targeting metabolic syndrome (MetS) in early chronic kidney disease (CKD) is essential to reduce cardiovascular complications. We compared the association of kidney function estimated by two glomerular filtration rate (GFR) equations with MetS in community population. Methods: We analyzed 12,700 participants from 2009 to 2010 the Korea National Health Survey data. GFR was estimated using the CKD Epidemiology Collaboration equation (GFRCKD-EPI) and the Modification of Diet in Renal Disease study equation (GFRMDRD). Results: The prevalence of MetS increased from the highest GFR category (>105ml/min/1.73m2) to the lowest (<60ml/min/1.73m2) using both equations (GFRCKD-EPI, 14.1{\%} to 62.3{\%}; GFRMDRD, 18.4{\%} to 62.9{\%}). Participants reclassified to higher GFRCKD-EPI category (upward) from GFRMDRD had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7{\%}, P<0.001). Compared with GFR ≥105ml/min/1.73m2, mildly impaired GFRCKD-EPI (75-89ml/min/1.73m2) was independently associated with increased odds of MetS (OR 1.30, 95{\%} CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFRMDRD was not (OR 1.08, 95{\%} CI 0.92-1.27, P=0.344). Conclusions: Compared with GFRMDRD, GFRCKD-EPI showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFRCKD-EPI may improve risk stratification of individuals with MetS according to kidney function in community-based population.",
author = "Namki Hong and Jaewon Oh and Lee, {Yong ho} and Youn, {Jong Chan} and Sungha Park and Lee, {Sang Hak} and Yangsoo Jang and Namsik Chung and Soyoon Kim and Jee, {Sun Ha} and seokmin kang",
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Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations. / Hong, Namki; Oh, Jaewon; Lee, Yong ho; Youn, Jong Chan; Park, Sungha; Lee, Sang Hak; Jang, Yangsoo; Chung, Namsik; Kim, Soyoon; Jee, Sun Ha; kang, seokmin.

In: Clinica Chimica Acta, Vol. 429, 15.02.2014, p. 157-162.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations

AU - Hong, Namki

AU - Oh, Jaewon

AU - Lee, Yong ho

AU - Youn, Jong Chan

AU - Park, Sungha

AU - Lee, Sang Hak

AU - Jang, Yangsoo

AU - Chung, Namsik

AU - Kim, Soyoon

AU - Jee, Sun Ha

AU - kang, seokmin

PY - 2014/2/15

Y1 - 2014/2/15

N2 - Background: Targeting metabolic syndrome (MetS) in early chronic kidney disease (CKD) is essential to reduce cardiovascular complications. We compared the association of kidney function estimated by two glomerular filtration rate (GFR) equations with MetS in community population. Methods: We analyzed 12,700 participants from 2009 to 2010 the Korea National Health Survey data. GFR was estimated using the CKD Epidemiology Collaboration equation (GFRCKD-EPI) and the Modification of Diet in Renal Disease study equation (GFRMDRD). Results: The prevalence of MetS increased from the highest GFR category (>105ml/min/1.73m2) to the lowest (<60ml/min/1.73m2) using both equations (GFRCKD-EPI, 14.1% to 62.3%; GFRMDRD, 18.4% to 62.9%). Participants reclassified to higher GFRCKD-EPI category (upward) from GFRMDRD had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7%, P<0.001). Compared with GFR ≥105ml/min/1.73m2, mildly impaired GFRCKD-EPI (75-89ml/min/1.73m2) was independently associated with increased odds of MetS (OR 1.30, 95% CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFRMDRD was not (OR 1.08, 95% CI 0.92-1.27, P=0.344). Conclusions: Compared with GFRMDRD, GFRCKD-EPI showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFRCKD-EPI may improve risk stratification of individuals with MetS according to kidney function in community-based population.

AB - Background: Targeting metabolic syndrome (MetS) in early chronic kidney disease (CKD) is essential to reduce cardiovascular complications. We compared the association of kidney function estimated by two glomerular filtration rate (GFR) equations with MetS in community population. Methods: We analyzed 12,700 participants from 2009 to 2010 the Korea National Health Survey data. GFR was estimated using the CKD Epidemiology Collaboration equation (GFRCKD-EPI) and the Modification of Diet in Renal Disease study equation (GFRMDRD). Results: The prevalence of MetS increased from the highest GFR category (>105ml/min/1.73m2) to the lowest (<60ml/min/1.73m2) using both equations (GFRCKD-EPI, 14.1% to 62.3%; GFRMDRD, 18.4% to 62.9%). Participants reclassified to higher GFRCKD-EPI category (upward) from GFRMDRD had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7%, P<0.001). Compared with GFR ≥105ml/min/1.73m2, mildly impaired GFRCKD-EPI (75-89ml/min/1.73m2) was independently associated with increased odds of MetS (OR 1.30, 95% CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFRMDRD was not (OR 1.08, 95% CI 0.92-1.27, P=0.344). Conclusions: Compared with GFRMDRD, GFRCKD-EPI showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFRCKD-EPI may improve risk stratification of individuals with MetS according to kidney function in community-based population.

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