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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.
Clin Chim Acta. 2014 Feb 15; 429:157-62.CC

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 (GFR(CKD-EPI)) and the Modification of Diet in Renal Disease study equation (GFR(MDRD)).

RESULTS

The prevalence of MetS increased from the highest GFR category (>105 ml/min/1.73 m(2)) to the lowest (<60 ml/min/1.73 m(2)) using both equations (GFR(CKD-EPI), 14.1% to 62.3%; GFR(MDRD), 18.4% to 62.9%). Participants reclassified to higher GFR(CKD-EPI) category (upward) from GFR(MDRD) had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7%, P<0.001). Compared with GFR ≥105 ml/min/1.73 m(2), mildly impaired GFR(CKD-EPI) (75-89 ml/min/1.73 m(2)) was independently associated with increased odds of MetS (OR 1.30, 95% CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFR(MDRD) was not (OR 1.08, 95% CI 0.92-1.27, P=0.344).

CONCLUSIONS

Compared with GFR(MDRD), GFR(CKD-EPI) showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFR(CKD-EPI) may improve risk stratification of individuals with MetS according to kidney function in community-based population.

Authors+Show Affiliations

Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.Division of Endocrinology, Yonsei University College of Medicine, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea; Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea; Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.Department of Preventive Medicine, Yonsei University College of Medicine, Republic of Korea.Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Republic of Korea.Divison of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea; Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: smkang@yuhs.ac.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

24360849

Citation

Hong, Namki, et al. "Comparison of Association of Glomerular Filtration Rate With Metabolic Syndrome in a Community-based Population Using the CKD-EPI and MDRD Study Equations." Clinica Chimica Acta; International Journal of Clinical Chemistry, vol. 429, 2014, pp. 157-62.
Hong N, Oh J, Lee YH, et al. Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations. Clin Chim Acta. 2014;429:157-62.
Hong, N., Oh, J., Lee, Y. H., Youn, J. C., Park, S., Lee, S. H., Jang, Y., Chung, N., Kim, S., Jee, S. H., & Kang, S. M. (2014). Comparison of association of glomerular filtration rate with metabolic syndrome in a community-based population using the CKD-EPI and MDRD study equations. Clinica Chimica Acta; International Journal of Clinical Chemistry, 429, 157-62. https://doi.org/10.1016/j.cca.2013.12.008
Hong N, et al. Comparison of Association of Glomerular Filtration Rate With Metabolic Syndrome in a Community-based Population Using the CKD-EPI and MDRD Study Equations. Clin Chim Acta. 2014 Feb 15;429:157-62. PubMed PMID: 24360849.
* Article titles in AMA citation format should be in sentence-case
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,Seok-Min, Y1 - 2013/12/17/ PY - 2013/10/20/received PY - 2013/12/07/revised PY - 2013/12/09/accepted PY - 2013/12/24/entrez PY - 2013/12/24/pubmed PY - 2014/10/4/medline KW - Chronic kidney disease KW - Kidney function KW - Metabolic syndrome SP - 157 EP - 62 JF - Clinica chimica acta; international journal of clinical chemistry JO - Clin Chim Acta VL - 429 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 (GFR(CKD-EPI)) and the Modification of Diet in Renal Disease study equation (GFR(MDRD)). RESULTS: The prevalence of MetS increased from the highest GFR category (>105 ml/min/1.73 m(2)) to the lowest (<60 ml/min/1.73 m(2)) using both equations (GFR(CKD-EPI), 14.1% to 62.3%; GFR(MDRD), 18.4% to 62.9%). Participants reclassified to higher GFR(CKD-EPI) category (upward) from GFR(MDRD) had lower prevalence of MetS than those moved downward (Net reclassification improvement 13.7%, P<0.001). Compared with GFR ≥105 ml/min/1.73 m(2), mildly impaired GFR(CKD-EPI) (75-89 ml/min/1.73 m(2)) was independently associated with increased odds of MetS (OR 1.30, 95% CI 1.09-1.56, P=0.003) in multivariate analysis, whereas GFR(MDRD) was not (OR 1.08, 95% CI 0.92-1.27, P=0.344). CONCLUSIONS: Compared with GFR(MDRD), GFR(CKD-EPI) showed better association with prevalence of MetS, particularly in normal to mildly impaired GFR range. GFR(CKD-EPI) may improve risk stratification of individuals with MetS according to kidney function in community-based population. SN - 1873-3492 UR - https://www.unboundmedicine.com/medline/citation/24360849/Comparison_of_association_of_glomerular_filtration_rate_with_metabolic_syndrome_in_a_community_based_population_using_the_CKD_EPI_and_MDRD_study_equations_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0009-8981(13)00503-2 DB - PRIME DP - Unbound Medicine ER -