Literature DB >> 33958490

National Estimates of CKD Prevalence and Potential Impact of Estimating Glomerular Filtration Rate Without Race.

Vishal Duggal1,2,3, I-Chun Thomas1,4, Maria E Montez-Rath2, Glenn M Chertow2, Manjula Kurella Tamura5,2,4.   

Abstract

BACKGROUND: The implications of removing the adjustment for Black race in equations to eGFR on the prevalence of CKD and management strategies are incompletely understood.
METHODS: We estimated changes in CKD prevalence and the potential effect on therapeutic drug prescriptions and prediction of kidney failure if race adjustment were removed from the CKD-EPI GFR estimating equation. We used cross-sectional and longitudinal data from adults aged ≥18 years in the National Health and Nutrition Examination Survey (NHANES) from 2015 to 2016, and the Veterans Affairs (VA) Health Care System in 2015. In the VA cohort, we assessed use of common medications that require dose adjustment on the basis of kidney function, and compared the prognostic accuracy of the Kidney Failure Risk Equation with versus without race adjustment of eGFR.
RESULTS: The prevalence of CKD among Black adults increased from 5.2% to 10.6% in NHANES, and from 12.4% to 21.6% in the VA cohort after eliminating race adjustment. Among Black veterans, 41.0% of gabapentin users, 33.5% of ciprofloxacin users, 24.0% of metformin users, 6.9% of atenolol users, 6.6% of rosuvastatin users, and 5.8% of tramadol users were reclassified to a lower eGFR for which dose adjustment or discontinuation is recommended. Without race adjustment of eGFR, discrimination of the Kidney Failure Risk Equation among Black adults remained high and calibration was marginally improved overall, with better calibration at higher levels of predicted risk.
CONCLUSIONS: Removal of race adjustment from CKD-EPI eGFR would double the estimated prevalence of CKD among Black adults in the United States. Such a change is likely to affect a sizeable number of drug-dosing decisions. It may also improve the accuracy of kidney failure risk prediction among higher-risk Black adults.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  chronic kidney disease; glomerular filtration rate

Mesh:

Substances:

Year:  2021        PMID: 33958490      PMCID: PMC8259653          DOI: 10.1681/ASN.2020121780

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  20 in total

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2.  Clinical Implications of Removing Race From Estimates of Kidney Function.

Authors:  James A Diao; Gloria J Wu; Herman A Taylor; John K Tucker; Neil R Powe; Isaac S Kohane; Arjun K Manrai
Journal:  JAMA       Date:  2021-01-12       Impact factor: 56.272

3.  Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

Authors:  Navdeep Tangri; Morgan E Grams; Andrew S Levey; Josef Coresh; Lawrence J Appel; Brad C Astor; Gabriel Chodick; Allan J Collins; Ognjenka Djurdjev; C Raina Elley; Marie Evans; Amit X Garg; Stein I Hallan; Lesley A Inker; Sadayoshi Ito; Sun Ha Jee; Csaba P Kovesdy; Florian Kronenberg; Hiddo J Lambers Heerspink; Angharad Marks; Girish N Nadkarni; Sankar D Navaneethan; Robert G Nelson; Stephanie Titze; Mark J Sarnak; Benedicte Stengel; Mark Woodward; Kunitoshi Iseki
Journal:  JAMA       Date:  2016-01-12       Impact factor: 56.272

4.  Precision in GFR Reporting: Let's Stop Playing the Race Card.

Authors:  Vanessa Grubbs
Journal:  Clin J Am Soc Nephrol       Date:  2020-05-11       Impact factor: 8.237

5.  Pro: Risk scores for chronic kidney disease progression are robust, powerful and ready for implementation.

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Journal:  Nephrol Dial Transplant       Date:  2017-05-01       Impact factor: 5.992

6.  Comparison of drug dosing recommendations based on measured GFR and kidney function estimating equations.

Authors:  Lesley A Stevens; Thomas D Nolin; Michelle M Richardson; Harold I Feldman; Julia B Lewis; Roger Rodby; Raymond Townsend; Aghogho Okparavero; Yaping Lucy Zhang; Christopher H Schmid; Andrew S Levey
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7.  Estimating glomerular filtration rate in black South Africans by use of the modification of diet in renal disease and Cockcroft-Gault equations.

Authors:  Hendrick E van Deventer; Jaya A George; Janice E Paiker; Piet J Becker; Ivor J Katz
Journal:  Clin Chem       Date:  2008-05-16       Impact factor: 8.327

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9.  Assessment of GFR by four methods in adults in Ashanti, Ghana: the need for an eGFR equation for lean African populations.

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Review 10.  Kidney Disease, Race, and GFR Estimation.

Authors:  Andrew S Levey; Silvia M Titan; Neil R Powe; Josef Coresh; Lesley A Inker
Journal:  Clin J Am Soc Nephrol       Date:  2020-05-11       Impact factor: 8.237

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1.  A Unifying Approach for GFR Estimation: Recommendations of the NKF-ASN Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease.

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

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4.  Prediction of End-Stage Kidney Disease Using Estimated Glomerular Filtration Rate With and Without Race : A Prospective Cohort Study.

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Journal:  Ann Intern Med       Date:  2022-01-11       Impact factor: 51.598

5.  Chronic Kidney Disease Associated with Worsening White Matter Disease and Ventricular Enlargement.

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Review 6.  The Glomerular Filtration Rate: From the Diagnosis of Kidney Function to a Public Health Tool.

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Journal:  Front Med (Lausanne)       Date:  2021-11-25

Review 7.  Health inequities and the inappropriate use of race in nephrology.

Authors:  Nwamaka D Eneanya; L Ebony Boulware; Jennifer Tsai; Marino A Bruce; Chandra L Ford; Christina Harris; Leo S Morales; Michael J Ryan; Peter P Reese; Roland J Thorpe; Michelle Morse; Valencia Walker; Fatiu A Arogundade; Antonio A Lopes; Keith C Norris
Journal:  Nat Rev Nephrol       Date:  2021-11-08       Impact factor: 42.439

8.  Investigating the global prevalence and consequences of undiagnosed stage 3 chronic kidney disease: methods and rationale for the REVEAL-CKD study.

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9.  Impact of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) GFR Estimating Equations on CKD Prevalence and Classification Among Asians.

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Journal:  Front Med (Lausanne)       Date:  2022-07-14

10.  Association of Coffee, Tea, and Caffeine Consumption With All-Cause Risk and Specific Mortality for Cardiovascular Disease Patients.

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