Literature DB >> 35667006

Association of Estimated GFR Calculated Using Race-Free Equations With Kidney Failure and Mortality by Black vs Non-Black Race.

Orlando M Gutiérrez1, Yingying Sang2, Morgan E Grams2,3, Shoshana H Ballew2, Aditya Surapaneni2, Kunihiro Matsushita2, Alan S Go4, Michael G Shlipak5, Lesley A Inker6, Nwamaka D Eneanya7, Deidra C Crews2,3, Neil R Powe8, Andrew S Levey6, Josef Coresh2.   

Abstract

Importance: At a given estimated glomerular filtration rate (eGFR), individuals who are Black have higher rates of mortality and kidney failure with replacement therapy (KFRT) compared with those who are non-Black. Whether the recently adopted eGFR equations without race preserve racial differences in risk of mortality and KFRT at a given eGFR is unknown. Objective: To assess whether eGFR equations with and without race and cystatin C document racial differences in risk of KFRT and mortality in populations including Black and non-Black participants. Design, Setting, and Participants: Retrospective individual-level data analysis of 62 011 participants from 5 general population and 3 chronic kidney disease (CKD) US-based cohorts with serum creatinine, cystatin C, and follow-up for KFRT and mortality from 1988 to 2018. Exposures: Chronic Kidney Disease Epidemiology Collaboration equation with serum creatinine (eGFRcr with and without race), cystatin C (eGFRcys without race), or both markers (eGFRcr-cys without race). Main Outcomes and Measures: The prevalence of decreased eGFR at baseline and hazard ratios of KFRT and mortality in Black vs non-Black participants were calculated, adjusted for age and sex. Analyses were performed within each cohort and with random-effect meta-analyses of the models.
Results: Among 62 011 participants (20 773 Black and 41 238 non-Black; mean age, 63 years; 53% women), the prevalence ratio (95% CI; percent prevalences) of eGFR less than 60 mL/min/1.73 m2 comparing Black with non-Black participants was 0.98 (95% CI, 0.93-1.03; 11% vs 12%) for eGFRcr with race, 0.95 (95% CI, 0.91-0.98; 17% vs 18%) for eGFRcys, and 1.2 (95% CI, 1.2-1.3; 13% vs 11%) for eGFRcr-cys but was 1.8 (95% CI, 1.7-1.8; 15% vs 9%) for eGFRcr without race. During a mean follow-up of 13 years, 8% and 4% of Black and non-Black participants experienced KFRT and 34% and 39% died, respectively. Decreased eGFR was associated with significantly greater risk of both outcomes for all equations. At an eGFR of 60 mL/min/1.73 m2, the hazard ratios for KFRT comparing Black with non-Black participants were 2.8 (95% CI, 1.6-4.9) for eGFRcr with race, 3.0 (95% CI, 1.5-5.8) for eGFRcys, and 2.8 (95% CI, 1.4-5.4) for eGFRcr-cys vs 1.3 (95% CI, 0.8-2.1) for eGFRcr without race. The 5-year absolute risk differences for KFRT comparing Black with non-Black participants were 1.4% (95% CI, 0.2%-2.6%) for eGFRcr with race, 1.1% (95% CI, 0.2%-1.9%) for eGFRcys, and 1.3% (95% CI, 0%-2.6%) for eGFRcr-cys vs 0.37% (95% CI, -0.32% to 1.05%) for eGFRcr without race. Similar patterns were observed for mortality. Conclusions and Relevance: In this retrospective analysis of 8 US cohorts including Black and non-Black individuals, the eGFR equation without race that included creatinine and cystatin C, but not the eGFR equation without race that included creatinine without cystatin C, demonstrated racial differences in the risk of KFRT and mortality throughout the range of eGFR. The eGFRcr-cys equation may be preferable to the eGFRcr equation without race for assessing racial differences in the risk of KFRT and mortality associated with low eGFR.

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Year:  2022        PMID: 35667006      PMCID: PMC9171658          DOI: 10.1001/jama.2022.8801

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   157.335


  28 in total

1.  Racial differences in the prevalence of chronic kidney disease among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort Study.

Authors:  William McClellan; David G Warnock; Leslie McClure; Ruth C Campbell; Britt B Newsome; Virginia Howard; Mary Cushman; George Howard
Journal:  J Am Soc Nephrol       Date:  2006-04-26       Impact factor: 10.121

2.  Racial differences in the incidence of treatment for end-stage renal disease.

Authors:  S G Rostand; K A Kirk; E A Rutsky; B A Pate
Journal:  N Engl J Med       Date:  1982-05-27       Impact factor: 91.245

3.  A community-based study of explanatory factors for the excess risk for early renal function decline in blacks vs whites with diabetes: the Atherosclerosis Risk in Communities study.

Authors:  J S Krop; J Coresh; L E Chambless; E Shahar; R L Watson; M Szklo; F L Brancati
Journal:  Arch Intern Med       Date:  1999 Aug 9-23

4.  New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race.

Authors:  Lesley A Inker; Nwamaka D Eneanya; Josef Coresh; Hocine Tighiouart; Dan Wang; Yingying Sang; Deidra C Crews; Alessandro Doria; Michelle M Estrella; Marc Froissart; Morgan E Grams; Tom Greene; Anders Grubb; Vilmundur Gudnason; Orlando M Gutiérrez; Roberto Kalil; Amy B Karger; Michael Mauer; Gerjan Navis; Robert G Nelson; Emilio D Poggio; Roger Rodby; Peter Rossing; Andrew D Rule; Elizabeth Selvin; Jesse C Seegmiller; Michael G Shlipak; Vicente E Torres; Wei Yang; Shoshana H Ballew; Sara J Couture; Neil R Powe; Andrew S Levey
Journal:  N Engl J Med       Date:  2021-09-23       Impact factor: 176.079

5.  Integrated Digital Health System Tools to Support Decision Making and Treatment Preparation in CKD: The PREPARE NOW Study.

Authors:  Jamie A Green; Patti L Ephraim; Felicia Hill-Briggs; Teri Browne; Tara S Strigo; Chelsie L Hauer; Christina Yule; Rebecca A Stametz; Diane Littlewood; Jane F Pendergast; Sarah Peskoe; Jennifer St Clair Russell; Evan Norfolk; Ion D Bucaloiu; Shravan Kethireddy; Daniel Davis; Jeremy dePrisco; Dave Malloy; Sherri Fulmer; Jennifer Martin; Dori Schatell; Navdeep Tangri; Amanda Sees; Cory Siegrist; Jeffrey Breed; Jonathan Billet; Matthew Hackenberg; Nrupen A Bhavsar; L Ebony Boulware
Journal:  Kidney Med       Date:  2021-05-24

6.  The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Authors:  Michael G Shlipak; Sri Lekha Tummalapalli; L Ebony Boulware; Morgan E Grams; Joachim H Ix; Vivekanand Jha; Andre-Pascal Kengne; Magdalena Madero; Borislava Mihaylova; Navdeep Tangri; Michael Cheung; Michel Jadoul; Wolfgang C Winkelmayer; Sophia Zoungas
Journal:  Kidney Int       Date:  2020-10-27       Impact factor: 10.612

7.  Rate of kidney function decline in older adults: a comparison using creatinine and cystatin C.

Authors:  Michael G Shlipak; Ronit Katz; Bryan Kestenbaum; Linda F Fried; Anne B Newman; David S Siscovick; Lesley Stevens; Mark J Sarnak
Journal:  Am J Nephrol       Date:  2009-04-07       Impact factor: 3.754

8.  A new equation to estimate glomerular filtration rate.

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

9.  The Difference Between Cystatin C- and Creatinine-Based Estimated GFR and Associations With Frailty and Adverse Outcomes: A Cohort Analysis of the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  O Alison Potok; Joachim H Ix; Michael G Shlipak; Ronit Katz; Amret T Hawfield; Michael V Rocco; Walter T Ambrosius; Monique E Cho; Nicholas M Pajewski; Anjay Rastogi; Dena E Rifkin
Journal:  Am J Kidney Dis       Date:  2020-07-16       Impact factor: 8.860

10.  Cohort profile: the chronic kidney disease prognosis consortium.

Authors:  Kunihiro Matsushita; Shoshana H Ballew; Brad C Astor; Paul E de Jong; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey; Adeera Levin; Chi-Pang Wen; Mark Woodward; Josef Coresh
Journal:  Int J Epidemiol       Date:  2012-12-12       Impact factor: 7.196

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1.  European Kidney Function Consortium Equation vs. Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Refit Equations for Estimating Glomerular Filtration Rate: Comparison with CKD-EPI Equations in the Korean Population.

Authors:  Hanah Kim; Mina Hur; Seungho Lee; Gun-Hyuk Lee; Hee-Won Moon; Yeo-Min Yun
Journal:  J Clin Med       Date:  2022-07-25       Impact factor: 4.964

2.  Race, ancestry, and genetic risk for kidney failure.

Authors:  Susanne B Nicholas; Chandra L Ford; Keith C Norris
Journal:  Cell Rep Med       Date:  2022-08-16
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