BACKGROUND AND OBJECTIVES: Muscle mass is not a major determinant of serum cystatin C levels, and its use to estimate GFR may lead to more congruent estimates of chronic kidney disease (CKD) across gender and racial/ethnic groups. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The Multi-Ethnic Study of Atherosclerosis is a population-based study of 6814 men and women who are aged 45 to 85 yr and do not have clinical cardiovascular disease. Estimated CKD prevalence, defined as an estimated GFR <60 ml/min per 1.73 m(2) body surface area, was compared using three different GFR prediction equations: The abbreviated Modification of Diet in Renal Disease (MDRD) equation and two equations based on serum cystatin C. RESULTS: Among women, CKD prevalence estimates across the four racial/ethnic groups using the MDRD- or the cystatin C-based GFR equations, which include gender and race coefficients, varied by approximately two-fold (P < 0.0001) but were more congruent with use of a serum cystatin C-based equation without the use of coefficients (P = 0.3). CKD prevalence estimates did not differ significantly across racial/ethnic groups among men with the MDRD (P = 0.07) or cystatin C formula without coefficients (P = 0.05) but did differ significantly with the cystatin C formula, which incorporates gender and race coefficients (P = 0.006). CONCLUSIONS: CKD prevalence estimates vary across racial/ethnic groups, and the degree of variability depends on the method used to estimate GFR, especially among women. Further research is needed to determine the accuracy and precision of GFR prediction equations in racially diverse populations.
BACKGROUND AND OBJECTIVES: Muscle mass is not a major determinant of serum cystatin C levels, and its use to estimate GFR may lead to more congruent estimates of chronic kidney disease (CKD) across gender and racial/ethnic groups. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The Multi-Ethnic Study of Atherosclerosis is a population-based study of 6814 men and women who are aged 45 to 85 yr and do not have clinical cardiovascular disease. Estimated CKD prevalence, defined as an estimated GFR <60 ml/min per 1.73 m(2) body surface area, was compared using three different GFR prediction equations: The abbreviated Modification of Diet in Renal Disease (MDRD) equation and two equations based on serum cystatin C. RESULTS: Among women, CKD prevalence estimates across the four racial/ethnic groups using the MDRD- or the cystatin C-based GFR equations, which include gender and race coefficients, varied by approximately two-fold (P < 0.0001) but were more congruent with use of a serum cystatin C-based equation without the use of coefficients (P = 0.3). CKD prevalence estimates did not differ significantly across racial/ethnic groups among men with the MDRD (P = 0.07) or cystatin C formula without coefficients (P = 0.05) but did differ significantly with the cystatin C formula, which incorporates gender and race coefficients (P = 0.006). CONCLUSIONS: CKD prevalence estimates vary across racial/ethnic groups, and the degree of variability depends on the method used to estimate GFR, especially among women. Further research is needed to determine the accuracy and precision of GFR prediction equations in racially diverse populations.
Authors: J Kyhse-Andersen; C Schmidt; G Nordin; B Andersson; P Nilsson-Ehle; V Lindström; A Grubb Journal: Clin Chem Date: 1994-10 Impact factor: 8.327
Authors: Eric L Knight; Jacobien C Verhave; Donna Spiegelman; Hans L Hillege; Dick de Zeeuw; Gary C Curhan; Paul E de Jong Journal: Kidney Int Date: 2004-04 Impact factor: 10.612
Authors: Lesley A Stevens; Josef Coresh; Christopher H Schmid; Harold I Feldman; Marc Froissart; John Kusek; Jerome Rossert; Frederick Van Lente; Robert D Bruce; Yaping Lucy Zhang; Tom Greene; Andrew S Levey Journal: Am J Kidney Dis Date: 2008-03 Impact factor: 8.860
Authors: Diane E Bild; David A Bluemke; Gregory L Burke; Robert Detrano; Ana V Diez Roux; Aaron R Folsom; Philip Greenland; David R Jacob; Richard Kronmal; Kiang Liu; Jennifer Clark Nelson; Daniel O'Leary; Mohammed F Saad; Steven Shea; Moyses Szklo; Russell P Tracy Journal: Am J Epidemiol Date: 2002-11-01 Impact factor: 4.897
Authors: Paul Muntner; Britt Newsome; Holly Kramer; Carmen A Peralta; Yongin Kim; David R Jacobs; Catarina I Kiefe; Cora E Lewis Journal: Clin J Am Soc Nephrol Date: 2011-11-10 Impact factor: 8.237
Authors: May A Beydoun; Angedith Poggi-Burke; Alan B Zonderman; Ola S Rostant; Michele K Evans; Deidra C Crews Journal: Psychosom Med Date: 2017-09 Impact factor: 4.312
Authors: William M McClellan; David G Warnock; Suzanne Judd; Paul Muntner; Reshma Kewalramani; Mary Cushman; Leslie A McClure; Britt B Newsome; George Howard Journal: J Am Soc Nephrol Date: 2011-08-25 Impact factor: 10.121
Authors: K E Ensrud; K Barbour; M T Canales; M E Danielson; R M Boudreau; D C Bauer; A Z Lacroix; A Ishani; R D Jackson; J A Robbins; J A Cauley Journal: Osteoporos Int Date: 2011-05-28 Impact factor: 4.507
Authors: Carmen A Peralta; Anne Lee; Michelle C Odden; Lenny Lopez; Adina Zeki Al Hazzouri; John Neuhaus; Mary N Haan Journal: J Am Geriatr Soc Date: 2012-12-18 Impact factor: 5.562
Authors: Bryan R Kestenbaum; Kathryn L Adeney; Ian H de Boer; Joachim H Ix; Michael G Shlipak; David S Siscovick Journal: Kidney Int Date: 2009-08-19 Impact factor: 10.612
Authors: Jennifer H Jordan; Sujethra Vasu; Timothy M Morgan; Ralph B D'Agostino; Giselle C Meléndez; Craig A Hamilton; Andrew E Arai; Songtao Liu; Chia-Ying Liu; João A C Lima; David A Bluemke; Gregory L Burke; W Gregory Hundley Journal: Circ Cardiovasc Imaging Date: 2016-08 Impact factor: 7.792