BACKGROUND: Estimated GFR by serum creatinine (eGFRcreatinine) is a pivotal measure of kidney function in clinical practice but can be affected by several non-GFR determinants, resulting in misclassification. Combining multiple kidney markers to predict risk is an area of substantial interest. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This study followed 9489 adults from visit 4 (1996-1998) of the Atherosclerosis Risk in Communities Study for a median of 11.2 years, and assessed joint association of eGFRcreatinine, eGFRcystatin, and urinary albumin/creatinine ratio (ACR) with mortality, coronary heart disease, heart failure, AKI, and ESRD using Cox proportional hazards models. The predictive ability of ACR and eGFRcystatin beyond eGFRcreatinine was also investigated. RESULTS: Lower eGFRcreatinine and eGFRcystatin as well as elevated ACR were independently associated with risk for all outcomes. eGFRcreatinine <60 was not associated with risk of mortality, coronary heart disease, or heart failure if eGFRcystatin ≥60 with ACR <30 mg/g compared with those with all three markers above CKD cutoffs (i.e., eGFRcystatin ≥60, eGFRcreatinine ≥60, and ACR<30), whereas risk association with kidney outcomes remained: Hazard ratio (95% confidence interval), 0.96 (0.66, 1.39) for mortality, 0.85 (0.55, 1.31) for coronary heart disease, 0.99 (0.60, 1.63) for heart failure, 1.61 (0.92, 2.82) for AKI, and 3.53 (1.06, 11.68) for ESRD. Adding ACR to the fully adjusted model with eGFRcreatinine or adding eGFRcystatin to both eGFRcreatinine and ACR improved risk classification for all outcomes (P ≤ 0.01). CONCLUSIONS: eGFRcystatin can be a useful confirmatory marker in those with eGFRcreatinine <60 and whose ACR is <30 mg/g. This approach improves risk classification, and provides reassurance to a large group of individuals with eGFRcreatinine <60.
BACKGROUND: Estimated GFR by serum creatinine (eGFRcreatinine) is a pivotal measure of kidney function in clinical practice but can be affected by several non-GFR determinants, resulting in misclassification. Combining multiple kidney markers to predict risk is an area of substantial interest. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This study followed 9489 adults from visit 4 (1996-1998) of the Atherosclerosis Risk in Communities Study for a median of 11.2 years, and assessed joint association of eGFRcreatinine, eGFRcystatin, and urinary albumin/creatinine ratio (ACR) with mortality, coronary heart disease, heart failure, AKI, and ESRD using Cox proportional hazards models. The predictive ability of ACR and eGFRcystatin beyond eGFRcreatinine was also investigated. RESULTS: Lower eGFRcreatinine and eGFRcystatin as well as elevated ACR were independently associated with risk for all outcomes. eGFRcreatinine <60 was not associated with risk of mortality, coronary heart disease, or heart failure if eGFRcystatin ≥60 with ACR <30 mg/g compared with those with all three markers above CKD cutoffs (i.e., eGFRcystatin ≥60, eGFRcreatinine ≥60, and ACR<30), whereas risk association with kidney outcomes remained: Hazard ratio (95% confidence interval), 0.96 (0.66, 1.39) for mortality, 0.85 (0.55, 1.31) for coronary heart disease, 0.99 (0.60, 1.63) for heart failure, 1.61 (0.92, 2.82) for AKI, and 3.53 (1.06, 11.68) for ESRD. Adding ACR to the fully adjusted model with eGFRcreatinine or adding eGFRcystatin to both eGFRcreatinine and ACR improved risk classification for all outcomes (P ≤ 0.01). CONCLUSIONS:eGFRcystatin can be a useful confirmatory marker in those with eGFRcreatinine <60 and whose ACR is <30 mg/g. This approach improves risk classification, and provides reassurance to a large group of individuals with eGFRcreatinine <60.
Authors: Ann M O'Hare; Anne B Newman; Ronit Katz; Linda F Fried; Catherine O Stehman-Breen; Stephen L Seliger; David S Siscovick; Michael G Shlipak Journal: Arch Intern Med Date: 2005 Dec 12-26
Authors: Michael G Shlipak; Ronit Katz; Linda F Fried; Nancy Swords Jenny; Catherine O Stehman-Breen; Anne B Newman; David Siscovick; Bruce M Psaty; Mark J Sarnak Journal: J Am Coll Cardiol Date: 2005-01-18 Impact factor: 24.094
Authors: A D White; A R Folsom; L E Chambless; A R Sharret; K Yang; D Conwill; M Higgins; O D Williams; H A Tyroler Journal: J Clin Epidemiol Date: 1996-02 Impact factor: 6.437
Authors: Mark J Sarnak; Ronit Katz; Catherine O Stehman-Breen; Linda F Fried; Nancy Swords Jenny; Bruce M Psaty; Anne B Newman; David Siscovick; Michael G Shlipak Journal: Ann Intern Med Date: 2005-04-05 Impact factor: 25.391
Authors: Michael G Shlipak; Mark J Sarnak; Ronit Katz; Linda F Fried; Stephen L Seliger; Anne B Newman; David S Siscovick; Catherine Stehman-Breen Journal: N Engl J Med Date: 2005-05-19 Impact factor: 91.245
Authors: Michael G Shlipak; Linda F Fried; Mary Cushman; Teri A Manolio; Do Peterson; Catherine Stehman-Breen; Anthony Bleyer; Anne Newman; David Siscovick; Bruce Psaty Journal: JAMA Date: 2005-04-13 Impact factor: 56.272
Authors: Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey Journal: N Engl J Med Date: 2012-07-05 Impact factor: 91.245
Authors: Michael G Shlipak; Christina L Wassel Fyr; Glenn M Chertow; Tamara B Harris; Stephen B Kritchevsky; Frances A Tylavsky; Suzanne Satterfield; Steven R Cummings; Anne B Newman; Linda F Fried Journal: J Am Soc Nephrol Date: 2005-11-02 Impact factor: 10.121
Authors: Stephen L Seliger; W T Longstreth; Ronit Katz; Teri Manolio; Linda F Fried; Michael Shlipak; Catherine O Stehman-Breen; Anne Newman; Mark Sarnak; Daniel L Gillen; Anthony Bleyer; David S Siscovick Journal: J Am Soc Nephrol Date: 2005-10-19 Impact factor: 10.121
Authors: Michael Zappitelli; Jason H Greenberg; Steven G Coca; Catherine D Krawczeski; Simon Li; Heather R Thiessen-Philbrook; Michael R Bennett; Prasad Devarajan; Chirag R Parikh Journal: JAMA Pediatr Date: 2015-06 Impact factor: 16.193
Authors: Anandita Agarwala; Salim Virani; David Couper; Lloyd Chambless; Eric Boerwinkle; Brad C Astor; Ron C Hoogeveen; Joe Coresh; A Richey Sharrett; Aaron R Folsom; Tom Mosley; Christie M Ballantyne; Vijay Nambi Journal: Atherosclerosis Date: 2016-08-25 Impact factor: 5.162
Authors: Cristina M Arce; Jinnie J Rhee; Katharine L Cheung; Haley Hedlin; Kristopher Kapphahn; Nora Franceschini; Roberto S Kalil; Lisa W Martin; Lihong Qi; Nawar M Shara; Manisha Desai; Marcia L Stefanick; Wolfgang C Winkelmayer Journal: Am J Kidney Dis Date: 2015-09-01 Impact factor: 8.860
Authors: Kunihiro Matsushita; Yingying Sang; Shoshana H Ballew; Brad C Astor; Ron C Hoogeveen; Scott D Solomon; Christie M Ballantyne; Mark Woodward; Josef Coresh Journal: Arterioscler Thromb Vasc Biol Date: 2014-05-29 Impact factor: 8.311
Authors: Orlando M Gutiérrez; Yulia A Khodneva; Paul Muntner; Dana V Rizk; William M McClellan; Mary Cushman; David G Warnock; Monika M Safford Journal: JAMA Date: 2013-08-21 Impact factor: 56.272
Authors: Kunihiro Matsushita; Lucia Kwak; Shoshana H Ballew; Morgan E Grams; Elizabeth Selvin; Aaron R Folsom; Josef Coresh; Weihong Tang Journal: Atherosclerosis Date: 2018-09-01 Impact factor: 5.162