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

被引:4
作者
Hong, Namki [1 ,2 ,4 ]
Oh, Jaewon [1 ,2 ]
Lee, Yong-ho [3 ]
Youn, Jong Chan [1 ,2 ]
Park, Sungha [1 ,2 ]
Lee, Sang-Hak [1 ,2 ]
Jang, Yangsoo [1 ,2 ,6 ]
Chung, Namsik [1 ,2 ,6 ]
Kim, Soyoon [5 ]
Jee, Sun Ha [4 ]
Kang, Seok-Min [1 ,2 ,6 ]
机构
[1] Yonsei Univ, Coll Med, Div Cardiol, Severance Cardiovasc Hosp, Seoul 120752, South Korea
[2] Yonsei Univ, Coll Med, Cardiovasc Res Inst, Seoul 120752, South Korea
[3] Yonsei Univ, Coll Med, Div Endocrinol, Seoul 120752, South Korea
[4] Yonsei Univ, Grad Sch Publ Hlth, Inst Hlth Promot, Seoul 120752, South Korea
[5] Yonsei Univ, Coll Med, Dept Prevent Med, Seoul 120752, South Korea
[6] Yonsei Univ, Coll Med, Brain Korea Project Med Sci 21, Seoul 120752, South Korea
关键词
Chronic kidney disease; Kidney function; Metabolic syndrome; CHRONIC KIDNEY-DISEASE; SERUM CREATININE; RENAL-DISEASE; PREDICTION; DIET; RISK; ACCURATE;
D O I
10.1016/j.cca.2013.12.008
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
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% Cl 1.09-1.56, P = 0.003) in multivariate analysis, whereas GFR(MDRD) was not (OR 1.08, 95% Cl 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. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:157 / 162
页数:6
相关论文
共 33 条
[1]   The metabolic syndrome and chronic kidney disease in US adults [J].
Chen, J ;
Muntner, P ;
Hamm, LL ;
Jones, DW ;
Batuman, V ;
Fonseca, V ;
Whelton, PK ;
He, J .
ANNALS OF INTERNAL MEDICINE, 2004, 140 (03) :167-174
[2]   General cardiovascular risk profile for use in primary care - The Framingham Heart Study [J].
D'Agostino, Ralph B. ;
Vasan, Ramachandran S. ;
Pencina, Michael J. ;
Wolf, Philip A. ;
Cobain, Mark ;
Massaro, Joseph M. ;
Kannel, William B. .
CIRCULATION, 2008, 117 (06) :743-753
[3]   Estimating Equations for Glomerular Filtration Rate in the Era of Creatinine Standardization A Systematic Review [J].
Earley, Amy ;
Miskulin, Dana ;
Lamb, Edmund J. ;
Levey, Andrew S. ;
Uhlig, Katrin .
ANNALS OF INTERNAL MEDICINE, 2012, 156 (11) :785-+
[4]   K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification - Foreword [J].
Eknoyan, G ;
Levin, NW .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2002, 39 (02) :S14-S266
[5]   Altered temporal organization of plasma insulin oscillations in chronic renal failure [J].
Feneberg, R ;
Sparber, M ;
Veldhuis, JD ;
Mehls, O ;
Ritz, E ;
Schaefer, F .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2002, 87 (05) :1965-1973
[6]   Insulin resistance and hyperinsulinemia are already present in patients with incipient renal disease [J].
Fliser, D ;
Pacini, G ;
Engelleiter, R ;
Kautzky-Willer, A ;
Prager, R ;
Franek, E ;
Ritz, E .
KIDNEY INTERNATIONAL, 1998, 53 (05) :1343-1347
[7]   Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report [J].
Grundy, SM ;
Becker, D ;
Clark, LT ;
Cooper, RS ;
Denke, MA ;
Howard, WJ ;
Hunninghake, DB ;
Illingworth, R ;
Luepker, RV ;
McBride, P ;
McKenney, JM ;
Pasternak, RC ;
Stone, NJ ;
Van Horn, L ;
Brewer, HB ;
Cleeman, JI ;
Ernst, ND ;
Gordon, D ;
Levy, D ;
Rifkind, B ;
Rossouw, JE ;
Savage, P ;
Haffner, SM ;
Orloff, DG ;
Proschan, MA ;
Schwartz, JS ;
Sempos, CT ;
Shero, ST ;
Murray, EZ ;
Keller, SA ;
Jehle, AJ .
CIRCULATION, 2002, 106 (25) :3143-3421
[8]   Diagnosis and management of the metabolic syndrome - An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement [J].
Grundy, SM ;
Cleeman, JI ;
Daniels, SR ;
Donato, KA ;
Eckel, RH ;
Franklin, BA ;
Gordon, DJ ;
Krauss, RM ;
Savage, PJ ;
Smith, SC ;
Spertus, JA ;
Costa, F .
CIRCULATION, 2005, 112 (17) :2735-2752
[9]   Estimating Glomerular Filtration Rate from Serum Creatinine and Cystatin C [J].
Inker, Lesley A. ;
Schmid, Christopher H. ;
Tighiouart, Hocine ;
Eckfeldt, John H. ;
Feldman, Harold I. ;
Greene, Tom ;
Kusek, John W. ;
Manzi, Jane ;
Van Lente, Frederick ;
Zhang, Yaping Lucy ;
Coresh, Josef ;
Levey, Andrew S. .
NEW ENGLAND JOURNAL OF MEDICINE, 2012, 367 (01) :20-29
[10]   Metabolic syndrome and chronic kidney disease in a rural Chinese population [J].
Jiang, LiPing ;
Liang, YuanBo ;
Qiu, Bo ;
Wang, FengHua ;
Duan, XinRong ;
Yang, XiaoHui ;
Yang, JinGang ;
Huang, Wen ;
Wang, NingLi .
CLINICA CHIMICA ACTA, 2011, 412 (21-22) :1983-1988