BACKGROUND AND OBJECTIVES: There are limited data on the prevalence of chronic kidney disease (CKD) and its clinical importance in the very old. We examined the prevalence of CKD in octogenarians and its association with cardiovascular disease (CVD). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In a cross-sectional analysis of 1028 participants from the Cardiovascular Health Study All Stars, we evaluated association of prevalent CKD with CVD using multivariable logistic regression. CKD was defined as eGFR of <60 ml/min per 1.73 m(2). GFR was estimated using CKD-Epi creatinine and cystatin C equations that incorporate coefficients for age, gender, and race (eGFR(EPI), eGFR(CYS3var)) and the one-variable cystatin C equation (eGFR(CYS1var)). Prevalent CVD was defined as a composite of coronary heart disease, heart failure, and stroke. RESULTS: Mean age was 86 years, 64% were women, 86% were Caucasians, 14% had diabetes, and 39% had prevalent CVD. Mean eGFR(EPI), eGFR(CYS3var), and eGFR(CYS1var) were 59, 62, and 70 ml/min per 1.73 m(2), and 51%, 46%, and 33% had CKD, respectively. Associations of CKD with CVD varied by equation in adjusted analyses: CKD(EPI) (OR, 1.53; 95% CI, 1.15 to 2.03), CKD(CYS3var) (OR, 1.67; 95% CI, 1.25, 2.23), and CKD(CYS1var) (OR, 2.09; 95% CI, 1.55, 2.83). CONCLUSIONS: Reduced eGFR is highly prevalent in octogenarians, and the eGFR(CYS1var) equation yielded the lowest prevalence of CKD but the strongest association with prevalent CVD. Because there are no validated estimating equations in the elderly, estimation of kidney function on the basis of on any one equation should be interpreted with caution.
BACKGROUND AND OBJECTIVES: There are limited data on the prevalence of chronic kidney disease (CKD) and its clinical importance in the very old. We examined the prevalence of CKD in octogenarians and its association with cardiovascular disease (CVD). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In a cross-sectional analysis of 1028 participants from the Cardiovascular Health Study All Stars, we evaluated association of prevalent CKD with CVD using multivariable logistic regression. CKD was defined as eGFR of <60 ml/min per 1.73 m(2). GFR was estimated using CKD-Epi creatinine and cystatin C equations that incorporate coefficients for age, gender, and race (eGFR(EPI), eGFR(CYS3var)) and the one-variable cystatin C equation (eGFR(CYS1var)). Prevalent CVD was defined as a composite of coronary heart disease, heart failure, and stroke. RESULTS: Mean age was 86 years, 64% were women, 86% were Caucasians, 14% had diabetes, and 39% had prevalent CVD. Mean eGFR(EPI), eGFR(CYS3var), and eGFR(CYS1var) were 59, 62, and 70 ml/min per 1.73 m(2), and 51%, 46%, and 33% had CKD, respectively. Associations of CKD with CVD varied by equation in adjusted analyses: CKD(EPI) (OR, 1.53; 95% CI, 1.15 to 2.03), CKD(CYS3var) (OR, 1.67; 95% CI, 1.25, 2.23), and CKD(CYS1var) (OR, 2.09; 95% CI, 1.55, 2.83). CONCLUSIONS: Reduced eGFR is highly prevalent in octogenarians, and the eGFR(CYS1var) equation yielded the lowest prevalence of CKD but the strongest association with prevalent CVD. Because there are no validated estimating equations in the elderly, estimation of kidney function on the basis of on any one equation should be interpreted with caution.
Authors: Lesley A Stevens; Suying Li; Changchun Wang; Cindy Huang; Bryan N Becker; Andrew S Bomback; Wendy Weinstock Brown; Nilka Ríos Burrows; Claudine T Jurkovitz; Samy I McFarlane; Keith C Norris; Michael Shlipak; Adam T Whaley-Connell; Shu-Cheng Chen; George L Bakris; Peter A McCullough Journal: Am J Kidney Dis Date: 2010-03 Impact factor: 8.860
Authors: Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh; Ron T Gansevoort Journal: Lancet Date: 2010-05-17 Impact factor: 79.321
Authors: Anne B Newman; Alice M Arnold; Michael C Sachs; Diane G Ives; Mary Cushman; Elsa S Strotmeyer; Jingzhong Ding; Stephen B Kritchevsky; Paulo H M Chaves; Linda P Fried; John Robbins Journal: J Am Geriatr Soc Date: 2009-01-29 Impact factor: 5.562
Authors: Manjula Kurella Tamura; Virginia Wadley; Kristine Yaffe; Leslie A McClure; George Howard; Rodney Go; Richard M Allman; David G Warnock; William McClellan Journal: Am J Kidney Dis Date: 2008-06-30 Impact factor: 8.860
Authors: Paul J Roderick; Richard J Atkins; Liam Smeeth; Adrian Mylne; Dorothea D M Nitsch; Richard B Hubbard; Christopher J Bulpitt; Astrid E Fletcher Journal: Am J Kidney Dis Date: 2009-04-25 Impact factor: 8.860
Authors: Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh Journal: Ann Intern Med Date: 2009-05-05 Impact factor: 25.391
Authors: Dena E Rifkin; Michael G Shlipak; Ronit Katz; Linda F Fried; David Siscovick; Michel Chonchol; Anne B Newman; Mark J Sarnak Journal: Arch Intern Med Date: 2008-11-10
Authors: Christine K Liu; Asya Lyass; Joseph M Massaro; Ralph B D'Agostino; Caroline S Fox; Joanne M Murabito Journal: J Gerontol A Biol Sci Med Sci Date: 2013-08-02 Impact factor: 6.053
Authors: Shani Shastri; Ronit Katz; Dena E Rifkin; Linda F Fried; Michelle C Odden; Carmen A Peralta; Michel Chonchol; David Siscovick; Michael G Shlipak; Anne B Newman; Mark J Sarnak Journal: J Am Geriatr Soc Date: 2012-06-21 Impact factor: 5.562
Authors: David A Drew; Ronit Katz; Stephen Kritchevsky; Joachim H Ix; Michael G Shlipak; Anne B Newman; Andy Hoofnagle; Linda Fried; Mark J Sarnak; Orlando M Gutierrez Journal: Am J Nephrol Date: 2018-04-05 Impact factor: 3.754
Authors: David A Drew; Ronit Katz; Stephen Kritchevsky; Joachim Ix; Michael Shlipak; Orlando M Gutiérrez; Anne Newman; Andy Hoofnagle; Linda Fried; Richard D Semba; Mark Sarnak Journal: J Am Soc Nephrol Date: 2017-01-19 Impact factor: 10.121
Authors: Rebecca Kurnik Seshasai; Ronit Katz; Ian H de Boer; David Siscovick; Michael G Shlipak; Dena E Rifkin; Mark J Sarnak Journal: Clin Nephrol Date: 2012-09 Impact factor: 0.975
Authors: Dietrich Rothenbacher; Jochen Klenk; Michael Denkinger; Mahir Karakas; Thorsten Nikolaus; Richard Peter; Wolfgang Koenig Journal: BMC Public Health Date: 2012-05-10 Impact factor: 3.295
Authors: Shin Young Ahn; Jiwon Ryu; Seon Ha Baek; Sejoong Kim; Ki Young Na; Ki Woong Kim; Dong-Wan Chae; Ho Jun Chin Journal: PLoS One Date: 2013-12-18 Impact factor: 3.240