1
|
Winter IP, Ferguson BK, Wilson PB. Associations between urine specific gravity and race/ethnicity at the population level: Implications for hydration status categorization. Am J Hum Biol 2024; 36:e24139. [PMID: 39016205 DOI: 10.1002/ajhb.24139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/18/2024] [Accepted: 07/10/2024] [Indexed: 07/18/2024] Open
Abstract
OBJECTIVE We aimed to evaluate how urine specific gravity (USG) and rates of supposed hypohydration vary by race/ethnicity, and to examine how adjustment for several important factors impacts estimated USG. METHODS Using the National Health and Nutrition Examination Survey, this cross-sectional study evaluated a total of 4195 (2098 female, 2097 male) Americans and categorized them as supposedly hypohydrated (USG≥1.020) or not using spot urine samples. USG and prevalence of supposed hypohydration were compared across racial/ethnic groups, separately by gender. The analyses considered the impact of urine creatinine, body composition, age, dietary nutrients, and physical activity. RESULTS Differences in supposed hypohydration prevalence were observed by race/ethnicity in men (p = .030) and women (p < .001). In unadjusted models, Black women's USG (1.0189) was higher (p < .05) than all the other race/ethnicity groups' USG (1.0142-1.0171). In men, Blacks' USG (1.0197) was higher (p < .05) than the USG of Whites (1.0177) and other/multi-racial (1.0176) but not Mexican Americans (1.0196) or other Hispanics (1.0192). Adjustments for age, arm circumference, nutrients (protein, sodium, potassium, and moisture), and physical activity minimally influenced USG estimates. Further adjustment for urine creatinine lowered USG for Black women and men by 0.003 and 0.0023, respectively, with no notable lowering of USG in the other races/ethnicities. Supplemental analyses matching Whites and Blacks on age, moisture intake, and poverty-to-income ratio confirmed racial differences in urine creatinine and USG, though the effects were most pronounced in women. CONCLUSIONS Using a USG≥1.020 to identify hypohydration in all races/ethnicities may be inappropriate due to, among other factors, differences in urinary creatinine.
Collapse
Affiliation(s)
- Ian P Winter
- Human Performance Laboratory, Old Dominion University, Norfolk, Virginia, USA
| | - Brian K Ferguson
- Human Performance Laboratory, Old Dominion University, Norfolk, Virginia, USA
| | - Patrick B Wilson
- Human Performance Laboratory, Old Dominion University, Norfolk, Virginia, USA
| |
Collapse
|
2
|
Zanoni F, Neugut YD, Obayemi JE, Liu L, Zhang JY, Ratner LE, Cohen DJ, Mohan S, Gharavi AG, Keating B, Kiryluk K. Genetic versus self-reported African ancestry of the recipient and neighborhood predictors of kidney transplantation outcomes in 2 multiethnic urban cohorts. Am J Transplant 2024; 24:1003-1015. [PMID: 38331047 PMCID: PMC11144562 DOI: 10.1016/j.ajt.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/10/2024]
Abstract
African American (AA) kidney recipients have a higher risk of allograft rejection and failure compared to non-AAs, but to what extent these outcomes are due to genetic versus environmental effects is currently unknown. Herein, we tested the effects of recipient self-reported race versus genetic proportion of African ancestry (pAFR), and neighborhood socioeconomic status (SES) on kidney allograft outcomes in multiethnic kidney transplant recipients from Columbia University (N = 1083) and the University of Pennsylvania (N = 738). All participants were genotyped with SNP arrays to estimate genetic admixture proportions. US census tract variables were used to analyze the effect of neighborhood factors. In both cohorts, self-reported recipient AA race and pAFR were individually associated with increased risk of rejection and failure after adjustment for known clinical risk factors and neighborhood SES factors. Joint analysis confirmed that self-reported recipient AA race and pAFR were both associated with a higher risk of allograft rejection (AA: HR 1.61 (1.31-1.96), P = 4.05E-06; pAFR: HR 1.90 (1.46-2.48), P = 2.40E-06) and allograft failure (AA: HR 1.52 (1.18-1.97), P = .001; pAFR: HR 1.70 (1.22-2.35), P = .002). Further research is needed to disentangle the role of genetics versus environmental, social, and structural factors contributing to poor transplantation outcomes in kidney recipients of African ancestry.
Collapse
Affiliation(s)
- Francesca Zanoni
- Department of Nephrology, Dialysis and Kidney Transplantation, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Y Dana Neugut
- Division of Pediatric Gastroenterology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Joy E Obayemi
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Lili Liu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Jun Y Zhang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Lloyd E Ratner
- Department of Surgery, Columbia University, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Brendan Keating
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA.
| |
Collapse
|
3
|
Wilson PB, Winter IP, Burdin J. Differences in urine creatinine and osmolality between black and white Americans after accounting for age, moisture intake, urine volume, and socioeconomic status. PLoS One 2024; 19:e0304803. [PMID: 38820483 PMCID: PMC11142698 DOI: 10.1371/journal.pone.0304803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/17/2024] [Indexed: 06/02/2024] Open
Abstract
Urine osmolality is used throughout research to determine hydration levels. Prior studies have found black individuals to have elevated urine creatinine and osmolality, but it remains unclear which factors explain these findings. This cross-sectional, observational study sought to understand the relationship of self-reported race to urine creatinine and urine osmolality after accounting for age, socioeconomic status, and fluid intake. Data from 1,386 participants of the 2009-2012 National Health and Nutrition Examination Survey were utilized. Age, poverty-to-income ratio (PIR), urine flow rate (UFR), fluid intake, estimated lean body mass (LBM), urine creatinine, and urine osmolality were measured. In a sex-specific manner, black and white participants were matched on age, dietary moisture, UFR, and PIR. Urine creatinine was greater in black men (171 mg/dL) than white men (150 mg/dL) and greater in black women (147 mg/dL) than white women (108 mg/dL) (p < .001). Similarly, urine osmolality was greater in black women than white women (723 vs. 656 mOsm/kg, p = .001), but no difference was observed between white and black men (737 vs. 731 mOsm/kg, p = .417). Estimated LBM was greater in black men (61.8 kg) and women (45.5 kg) than in white men (58.9 kg) and women (42.2 kg) (p≤.001). The strongest correlate of urine osmolality in all race-sex groups was urine creatinine (Spearman ρ = .68-.75). These results affirm that individuals identifying as black produce higher urine creatinine concentrations and, in women, higher urine osmolality after matching for age, fluid intake, and socioeconomic status. The findings suggest caution when comparing urine hydration markers between racial groups.
Collapse
Affiliation(s)
- Patrick B. Wilson
- Human Performance Laboratory, School of Kinesiology and Health Science, Old Dominion University, Norfolk, VA, United States of America
| | - Ian P. Winter
- Human Performance Laboratory, School of Kinesiology and Health Science, Old Dominion University, Norfolk, VA, United States of America
| | - Josie Burdin
- Human Performance Laboratory, School of Kinesiology and Health Science, Old Dominion University, Norfolk, VA, United States of America
| |
Collapse
|
4
|
Gbadegesin R, Martinelli E, Gupta Y, Friedman DJ, Sampson MG, Pollak MR, Sanna-Cherchi S. APOL1 Genotyping Is Incomplete without Testing for the Protective M1 Modifier p.N264K Variant. GLOMERULAR DISEASES 2024; 4:43-48. [PMID: 38495868 PMCID: PMC10942791 DOI: 10.1159/000537948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 02/16/2024] [Indexed: 03/19/2024]
Affiliation(s)
- Rasheed Gbadegesin
- Division of Nephrology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Elena Martinelli
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Unità Operativa Nefrologia, Azienda Ospedaliero-Universitaria di Parma, Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Yask Gupta
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Institute for Inflammation Medicine, University of Lübeck, Lübeck, Germany
| | - David J Friedman
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Matthew G Sampson
- Harvard Medical School, Boston, MA, USA
- Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA
- Kidney Disease Initiative and Medical and Population Genetics Program, Broad Institute, Boston, MA, USA
- Division of Nephrology, Brigham and Women's Hospital, Boston, MA, USA
| | - Martin R Pollak
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Simone Sanna-Cherchi
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| |
Collapse
|
5
|
SHELTON BA, SAWINSKI D, PETER I, MACLENNAN PA, PELLETIER NF, NADKARNI G, JULIAN B, SAAG M, FATIMA H, CRANE H, LEE W, MOORE RD, CHRISTOPOULOS K, JACOBSON JM, ERON JJ, KUMAR V, LOCKE JE. African American/Black race, apolipoprotein L1 , and serum creatinine among persons with HIV. AIDS 2023; 37:2349-2357. [PMID: 37650767 PMCID: PMC10843645 DOI: 10.1097/qad.0000000000003708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Accurate estimation of kidney function is critical among persons with HIV (PWH) to avoid under-dosing of antiretroviral therapies and ensure timely referral for kidney transplantation. Existing estimation equations for kidney function include race, the appropriateness of which has been debated. Given advancements in understanding of race and the necessity of accuracy in kidney function estimation, this study aimed to examine whether race, or genetic factors, improved prediction of serum creatinine among PWH. DESIGN This cross-sectional study utilized data from the Center for AIDS Research Network of Integrated Clinical Systems cohort (2008-2018). The outcome was baseline serum creatinine. METHODS Ordinary least squares regression was used to examine whether inclusion of race or genetic factors [ apolipoprotein-L1 ( APOL1 ) variants and genetic African ancestry] improved serum creatinine prediction. A reduction in root mean squared error (RMSE) greater than 2% was a clinically relevant improvement in predictive ability. RESULTS There were 4183 PWH included. Among PWH whose serum creatinine was less than 1.7 mg/dl, race was significantly associated with serum creatinine ( β = 0.06, SE = 0.01, P < 0.001) but did not improve predictive ability. African ancestry and APOL1 variants similarly failed to improve predictive ability. Whereas, when serum creatinine was at least 1.7 mg/dl, inclusion of race reduced the RMSE by 2.1%, indicating improvement in predictive ability. APOL1 variants further improved predictive ability by reducing the RMSE by 2.9%. CONCLUSION These data suggest that, among PWH, inclusion of race or genetic factors may only be warranted at higher serum creatinine levels. Work eliminating existing healthcare disparities while preserving the utility of estimating equations is needed.
Collapse
Affiliation(s)
- Brittany A. SHELTON
- University of Alabama at Birmingham School of Medicine
- The University of Tennessee, Knoxville Department of Public Health
| | | | | | | | | | | | - Bruce JULIAN
- University of Alabama at Birmingham School of Medicine
| | - Michael SAAG
- University of Alabama at Birmingham School of Medicine
| | - Huma FATIMA
- University of Alabama at Birmingham School of Medicine
| | | | | | | | | | | | - Joseph J. ERON
- University of North Carolina at Chapel Hill School of Medicine
| | - Vineeta KUMAR
- University of Alabama at Birmingham School of Medicine
| | | |
Collapse
|
6
|
Gupta Y, Friedman DJ, McNulty MT, Khan A, Lane B, Wang C, Ke J, Jin G, Wooden B, Knob AL, Lim TY, Appel GB, Huggins K, Liu L, Mitrotti A, Stangl MC, Bomback A, Westland R, Bodria M, Marasa M, Shang N, Cohen DJ, Crew RJ, Morello W, Canetta P, Radhakrishnan J, Martino J, Liu Q, Chung WK, Espinoza A, Luo Y, Wei WQ, Feng Q, Weng C, Fang Y, Kullo IJ, Naderian M, Limdi N, Irvin MR, Tiwari H, Mohan S, Rao M, Dube GK, Chaudhary NS, Gutiérrez OM, Judd SE, Cushman M, Lange LA, Lange EM, Bivona DL, Verbitsky M, Winkler CA, Kopp JB, Santoriello D, Batal I, Pinheiro SVB, Oliveira EA, Simoes E Silva AC, Pisani I, Fiaccadori E, Lin F, Gesualdo L, Amoroso A, Ghiggeri GM, D'Agati VD, Magistroni R, Kenny EE, Loos RJF, Montini G, Hildebrandt F, Paul DS, Petrovski S, Goldstein DB, Kretzler M, Gbadegesin R, Gharavi AG, Kiryluk K, Sampson MG, Pollak MR, Sanna-Cherchi S. Strong protective effect of the APOL1 p.N264K variant against G2-associated focal segmental glomerulosclerosis and kidney disease. Nat Commun 2023; 14:7836. [PMID: 38036523 PMCID: PMC10689833 DOI: 10.1038/s41467-023-43020-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
African Americans have a significantly higher risk of developing chronic kidney disease, especially focal segmental glomerulosclerosis -, than European Americans. Two coding variants (G1 and G2) in the APOL1 gene play a major role in this disparity. While 13% of African Americans carry the high-risk recessive genotypes, only a fraction of these individuals develops FSGS or kidney failure, indicating the involvement of additional disease modifiers. Here, we show that the presence of the APOL1 p.N264K missense variant, when co-inherited with the G2 APOL1 risk allele, substantially reduces the penetrance of the G1G2 and G2G2 high-risk genotypes by rendering these genotypes low-risk. These results align with prior functional evidence showing that the p.N264K variant reduces the toxicity of the APOL1 high-risk alleles. These findings have important implications for our understanding of the mechanisms of APOL1-associated nephropathy, as well as for the clinical management of individuals with high-risk genotypes that include the G2 allele.
Collapse
Affiliation(s)
- Yask Gupta
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Institute for Inflammation Medicine, University of Lubeck, Lübeck, Germany
| | - David J Friedman
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michelle T McNulty
- Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA
- Kidney Disease Initiative and Medical and Population Genetics Program, Broad Institute, Boston, MA, USA
| | - Atlas Khan
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Brandon Lane
- Division of Nephrology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Chen Wang
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Juntao Ke
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Gina Jin
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Benjamin Wooden
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrea L Knob
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Tze Y Lim
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Unit of Genomic Variability and Complex Diseases, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Gerald B Appel
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Kinsie Huggins
- Division of Nephrology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Lili Liu
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Adele Mitrotti
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy
| | - Megan C Stangl
- Division of Nephrology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Andrew Bomback
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Rik Westland
- Department of Pediatric Nephrology, Emma Children's Hospital, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Monica Bodria
- Division of Nephrology and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Laboratory on Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Maddalena Marasa
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ning Shang
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - David J Cohen
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Russell J Crew
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - William Morello
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milano, Italy
| | - Pietro Canetta
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Jai Radhakrishnan
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Jeremiah Martino
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Qingxue Liu
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Angelica Espinoza
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Yuan Luo
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Wei-Qi Wei
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiping Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Yilu Fang
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Iftikhar J Kullo
- Atherosclerosis and Lipid Genomics Laboratory, Mayo Clinic, Rochester, MN, USA
| | | | - Nita Limdi
- Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hemant Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sumit Mohan
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Maya Rao
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Geoffrey K Dube
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ninad S Chaudhary
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Orlando M Gutiérrez
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Nephrology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Suzanne E Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mary Cushman
- Department of Medicine and Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Leslie A Lange
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ethan M Lange
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Daniel L Bivona
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Miguel Verbitsky
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Cheryl A Winkler
- Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health and Basic Research Program, Frederick National Laboratory, Frederick, MD, USA
| | - Jeffrey B Kopp
- Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA
| | - Dominick Santoriello
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sérgio Veloso Brant Pinheiro
- Universidade Federal de Minas Gerais (UFMG), Faculdade de Medicina, Laboratório Interdisciplinar de Investigação Médica, Departamento de Pediatria, Unidade de Nefrologia Pediátrica, Belo Horizonte, MG, Brazil
| | - Eduardo Araújo Oliveira
- Universidade Federal de Minas Gerais (UFMG), Faculdade de Medicina, Laboratório Interdisciplinar de Investigação Médica, Departamento de Pediatria, Unidade de Nefrologia Pediátrica, Belo Horizonte, MG, Brazil
| | - Ana Cristina Simoes E Silva
- Universidade Federal de Minas Gerais (UFMG), Faculdade de Medicina, Laboratório Interdisciplinar de Investigação Médica, Departamento de Pediatria, Unidade de Nefrologia Pediátrica, Belo Horizonte, MG, Brazil
| | - Isabella Pisani
- Nephrology Unit, Parma University Hospital, and Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Enrico Fiaccadori
- Nephrology Unit, Parma University Hospital, and Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Fangming Lin
- Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, NY, USA
| | - Loreto Gesualdo
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy
| | - Antonio Amoroso
- Immunogenetics and Transplant Biology Service, University Hospital "Città della Salute e della Scienza di Torino", Department of Medical Sciences, University of Turin, Turin, Italy
| | - Gian Marco Ghiggeri
- Division of Nephrology and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Laboratory on Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Vivette D D'Agati
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Riccardo Magistroni
- Surgical, Medical and Dental Department of Morphological Sciences, Section of Nephrology, University of Modena and Reggio Emilia, Modena, Italy
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Translational Genomics, Icahn School of Medicine, New York, NY, 10027, USA
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine, New York, NY, 10027, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Giovanni Montini
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milano, Italy
- Department of Clinical Sciences and Community Health, Giuliana and Bernardo Caprotti Chair of Pediatrics, University of Milano, Milano, Italy
| | - Friedhelm Hildebrandt
- Harvard Medical School, Boston, MA, USA
- Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA
| | - Dirk S Paul
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Rasheed Gbadegesin
- Division of Nephrology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Ali G Gharavi
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Krzysztof Kiryluk
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Matthew G Sampson
- Harvard Medical School, Boston, MA, USA
- Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA
- Kidney Disease Initiative and Medical and Population Genetics Program, Broad Institute, Boston, MA, USA
| | - Martin R Pollak
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Simone Sanna-Cherchi
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
| |
Collapse
|
7
|
Williams P. Retaining Race in Chronic Kidney Disease Diagnosis and Treatment. Cureus 2023; 15:e45054. [PMID: 37701164 PMCID: PMC10495104 DOI: 10.7759/cureus.45054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2023] [Indexed: 09/14/2023] Open
Abstract
The best overall measure of kidney function is glomerular filtration rate (GFR) as commonly estimated from serum creatinine concentrations (eGFRcr) using formulas that correct for the higher average creatinine concentrations in Blacks. After two decades of use, these formulas have come under scrutiny for estimating GFR differently in Blacks and non-Blacks. Discussions of whether to include race (Black vs. non-Black) in the calculation of eGFRcr fail to acknowledge that the original race-based eGFRcr provided the same CKD treatment recommendations for Blacks and non-Blacks based on directly (exogenously) measured GFR. Nevertheless, the National Kidney Foundation and the American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease removed race in CKD treatment guidelines and pushed for the immediate adoption of a race-free eGFRcr formula by physicians and clinical laboratories. This formula is projected to negate CKD in 5.51 million White and other non-Black adults and reclassify CKD to less severe stages in another 4.59 million non-Blacks, in order to expand treatment eligibility to 434,000 Blacks not previously diagnosed and to 584,000 Blacks previously diagnosed with less severe CKD. This review examines: 1) the validity of the arguments for removing the original race correction, and 2) the performance of the proposed replacement formula. Excluding race in the derivation of eGFRcr changed the statistical bias from +3.7 to -3.6 ml/min/1.73m2 in Blacks and from +0.5 to +3.9 in non-Blacks, i.e., promoting CKD diagnosis in Blacks at the cost of restricting diagnosis in non-Blacks. By doing so, the revised eGFRcr greatly exaggerates the purported racial disparity in CKD burden. Claims that the revised formulas identify heretofore undiagnosed CKD in Blacks are not supported when studies that used kidney failure replacement therapy and mortality are interpreted as proxies for baseline CKD. Alternatively, a race-stratified eGFRcr (i.e., separate equations for Blacks and non-Blacks) would provide the least biased eGFRcr for both Blacks and non-Blacks and the best medical treatment for all patients.
Collapse
Affiliation(s)
- Paul Williams
- Life Sciences, Lawrence Berkeley National Laboratory, Berkeley, USA
| |
Collapse
|
8
|
Kintu C, Soremekun O, Machipisa T, Mayanja R, Kalyesubula R, Bagaya BS, Jjingo D, Chikowore T, Fatumo S. Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function. BMC Genomics 2023; 24:496. [PMID: 37644460 PMCID: PMC10464349 DOI: 10.1186/s12864-023-09601-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 08/17/2023] [Indexed: 08/31/2023] Open
Abstract
Despite recent efforts to increase diversity in genome-wide association studies (GWASs), most loci currently associated with kidney function are still limited to European ancestry due to the underlying sample selection bias in available GWASs. We set out to identify susceptibility loci associated with estimated glomerular filtration rate (eGFRcrea) in 80027 individuals of African-ancestry from the UK Biobank (UKBB), Million Veteran Program (MVP), and Chronic Kidney Disease genetics (CKDGen) consortia.We identified 8 lead SNPs, 7 of which were previously associated with eGFR in other populations. We identified one novel variant, rs77408001 which is an intronic variant mapped to the ELN gene. We validated three previously reported loci at GATM-SPATA5L1, SLC15A5 and AGPAT3. Fine-mapping analysis identified variants rs77121243 and rs201602445 as having a 99.9% posterior probability of being causal. Our results warrant designing bigger studies within individuals of African ancestry to gain new insights into the pathogenesis of Chronic Kidney Disease (CKD), and identify genomic variants unique to this ancestry that may influence renal function and disease.
Collapse
Affiliation(s)
- Christopher Kintu
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
| | - Opeyemi Soremekun
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Tafadzwa Machipisa
- Department of Medicine, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa
| | - Richard Mayanja
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Robert Kalyesubula
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Bernard S Bagaya
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
| | - Daudi Jjingo
- African Center of Excellence in Bioinformatics (ACE-B), Makerere University, Kampala, 10101, Uganda
- Department of Computer Science, College of Computing, Makerere University, Kampala, Uganda
| | - Tinashe Chikowore
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Segun Fatumo
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
| |
Collapse
|
9
|
Gupta Y, Friedman DJ, McNulty M, Khan A, Lane B, Wang C, Ke J, Jin G, Wooden B, Knob AL, Lim TY, Appel GB, Huggins K, Liu L, Mitrotti A, Stangl MC, Bomback A, Westland R, Bodria M, Marasa M, Shang N, Cohen DJ, Crew RJ, Morello W, Canetta P, Radhakrishnan J, Martino J, Liu Q, Chung WK, Espinoza A, Luo Y, Wei WQ, Feng Q, Weng C, Fang Y, Kullo IJ, Naderian M, Limdi N, Irvin MR, Tiwari H, Mohan S, Rao M, Dube G, Chaudhary NS, Gutiérrez OM, Judd SE, Cushman M, Lange LA, Lange EM, Bivona DL, Verbitsky M, Winkler CA, Kopp JB, Santoriello D, Batal I, Brant Pinheiro SV, Araújo Oliveira E, E Silva ACS, Pisani I, Fiaccadori E, Lin F, Gesualdo L, Amoroso A, Ghiggeri GM, D'Agati VD, Magistroni R, Kenny EE, Loos RJF, Montini G, Hildebrandt F, Paul DS, Petrovski S, Goldstein DB, Kretzler M, Gbadegesin R, Gharavi AG, Kiryluk K, Sampson MG, Pollak MR, Sanna-Cherchi S. Strong protective effect of the APOL1 p.N264K variant against G2-associated focal segmental glomerulosclerosis and kidney disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.02.23293554. [PMID: 37577628 PMCID: PMC10418582 DOI: 10.1101/2023.08.02.23293554] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Black Americans have a significantly higher risk of developing chronic kidney disease (CKD), especially focal segmental glomerulosclerosis (FSGS), than European Americans. Two coding variants (G1 and G2) in the APOL1 gene play a major role in this disparity. While 13% of Black Americans carry the high-risk recessive genotypes, only a fraction of these individuals develops FSGS or kidney failure, indicating the involvement of additional disease modifiers. Here, we show that the presence of the APOL1 p.N264K missense variant, when co-inherited with the G2 APOL1 risk allele, substantially reduces the penetrance of the G1G2 and G2G2 high-risk genotypes by rendering these genotypes low-risk. These results align with prior functional evidence showing that the p.N264K variant reduces the toxicity of the APOL1 high-risk alleles. These findings have important implications for our understanding of the mechanisms of APOL1 -associated nephropathy, as well as for the clinical management of individuals with high-risk genotypes that include the G2 allele.
Collapse
|
10
|
Zaidi AA, Verma A, Morse C, Ritchie MD, Mathieson I. The genetic and phenotypic correlates of mtDNA copy number in a multi-ancestry cohort. HGG ADVANCES 2023; 4:100202. [PMID: 37255673 PMCID: PMC10225932 DOI: 10.1016/j.xhgg.2023.100202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/25/2023] [Indexed: 06/01/2023] Open
Abstract
Mitochondrial DNA copy number (mtCN) is often treated as a proxy for mitochondrial (dys-) function and disease risk. Pathological changes in mtCN are common symptoms of rare mitochondrial disorders, but reported associations between mtCN and common diseases vary across studies. To understand the biology of mtCN, we carried out genome- and phenome-wide association studies of mtCN in 30,666 individuals from the Penn Medicine BioBank (PMBB)-a diverse cohort of largely African and European ancestry. We estimated mtCN in peripheral blood using exome sequence data, taking cell composition into account. We replicated known genetic associations of mtCN in the PMBB and found that their effects are highly correlated between individuals of European and African ancestry. However, the heritability of mtCN was much higher among individuals of largely African ancestry ( h 2 = 0.3 ) compared with European ancestry individuals( h 2 = 0.1 ) . Admixture mapping suggests that there are undiscovered variants underlying mtCN that are differentiated in frequency between individuals with African and European ancestry. We show that mtCN is associated with many health-related phenotypes. We discovered robust associations between mtDNA copy number and diseases of metabolically active tissues, such as cardiovascular disease and liver damage, that were consistent across African and European ancestry individuals. Other associations, such as epilepsy and prostate cancer, were only discovered in either individuals with European or African ancestry but not both. We show that mtCN-phenotype associations can be sensitive to blood cell composition and environmental modifiers, explaining why such associations are inconsistent across studies. Thus, mtCN-phenotype associations must be interpreted with care.
Collapse
Affiliation(s)
- Arslan A. Zaidi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anurag Verma
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Colleen Morse
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Penn Medicine BioBank
- Center for Translational Bioinformatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D. Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
11
|
Pierre CC, Marzinke MA, Ahmed SB, Collister D, Colón-Franco JM, Hoenig MP, Lorey T, Palevsky PM, Palmer OP, Rosas SE, Vassalotti J, Whitley CT, Greene DN. AACC/NKF Guidance Document on Improving Equity in Chronic Kidney Disease Care. J Appl Lab Med 2023:jfad022. [PMID: 37379065 DOI: 10.1093/jalm/jfad022] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 06/29/2023]
Abstract
BACKGROUND Kidney disease (KD) is an important health equity issue with Black, Hispanic, and socioeconomically disadvantaged individuals experiencing a disproportionate disease burden. Prior to 2021, the commonly used estimated glomerular filtration rate (eGFR) equations incorporated coefficients for Black race that conferred higher GFR estimates for Black individuals compared to non-Black individuals of the same sex, age, and blood creatinine concentration. With a recognition that race does not delineate distinct biological categories, a joint task force of the National Kidney Foundation and the American Society of Nephrology recommended the adoption of the CKD-EPI 2021 race-agnostic equations. CONTENT This document provides guidance on implementation of the CKD-EPI 2021 equations. It describes recommendations for KD biomarker testing, and opportunities for collaboration between clinical laboratories and providers to improve KD detection in high-risk populations. Further, the document provides guidance on the use of cystatin C, and eGFR reporting and interpretation in gender-diverse populations. SUMMARY Implementation of the CKD-EPI 2021 eGFR equations represents progress toward health equity in the management of KD. Ongoing efforts by multidisciplinary teams, including clinical laboratorians, should focus on improved disease detection in clinically and socially high-risk populations. Routine use of cystatin C is recommended to improve the accuracy of eGFR, particularly in patients whose blood creatinine concentrations are confounded by processes other than glomerular filtration. When managing gender-diverse individuals, eGFR should be calculated and reported with both male and female coefficients. Gender-diverse individuals can benefit from a more holistic management approach, particularly at important clinical decision points.
Collapse
Affiliation(s)
- Christina C Pierre
- Department of Pathology and Laboratory Medicine, Penn Medicine Lancaster General Hospital, Lancaster, PA, United States
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Mark A Marzinke
- Departments of Pathology and Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sofia B Ahmed
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David Collister
- Division of Nephrology, University of Alberta, Edmonton, AB, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | | | - Melanie P Hoenig
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Division of Nephrology and Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Thomas Lorey
- Kaiser Permanante, The Permanante Medical Group Regional Laboratory, Berkeley, CA, United States
| | - Paul M Palevsky
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Kidney Medicine Program and Kidney Medicine Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, United States
- The National Kidney Foundation, Inc., New York, NY, United States
| | - Octavia Peck Palmer
- Departments of Pathology, Critical Care Medicine, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Sylvia E Rosas
- The National Kidney Foundation, Inc., New York, NY, United States
- Kidney and Hypertension Unit, Joslin Diabetes Center and Harvard Medical School, Boston, MA, United States
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Joseph Vassalotti
- The National Kidney Foundation, Inc., New York, NY, United States
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Cameron T Whitley
- Department of Sociology, Western Washington University, Bellingham, WA, United States
| | - Dina N Greene
- Department of Laboratory Medicine and Pathology, University of Washington Medicine, Seattle, WA, United States
- LetsGetChecked Laboratories, Monrovia, CA, United States
| |
Collapse
|
12
|
Ilori TO, Solarin A, Manmak M, Raji YR, Braimoh R, Kwakyi E, Umeizudike T, Ajepe T, Bolanle O, Ripiye N, Eduful E, Adebile T, Ijeoma C, Mumuni AA, Chern J, Akinpelu M, Ulasi I, Arogundade F, Salako BL, Gbadegesin R, Parekh RS, Dupuis J, Amira CO, Adu D, Anderson CA, Ojo A, Waikar SS. Rationale and Design of the Diet, CKD, and Apolipoprotein L1 Study in Low-Income and Middle-Income Countries. Kidney Int Rep 2023; 8:764-774. [PMID: 37069986 PMCID: PMC10105057 DOI: 10.1016/j.ekir.2023.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
Introduction Diet, chronic kidney disease (CKD), and Apolipoprotein L1 (APOL1) (DCA) Study is examining the role of dietary factors in CKD progression and APOL1 nephropathy. We describe enrollment and retention efforts and highlight facilitators and barriers to enrollment and operational challenges, as well as accommodations made in the study protocol. Methods The DCA study is enrolling participants in 7 centers in West Africa. Participants who consented were invited to complete dietary recalls and 24-hour urine collections in year 1. We conducted focus groups and semistructured interviews among study personnel to identify facilitators and barriers to enrollment as well as retention and operational challenges in the execution of the study protocol. We analyzed emerging themes using content analyses. Results A total of 712 participants were enrolled in 18 months with 1256 24-hour urine and 1260 dietary recalls. Barriers to enrollment were the following: (i) a lack of understanding of research, (ii) the burden of research visits, and (iii) incorporating cultural and traditional nuances when designing research protocols. Factors facilitating enrollment were the following: (i) designing convenient research visits, (ii) building rapport and increased communication between the research team and participants, and (iii) cultural sensitivity - adapting research protocols for the populations involved. Offering home visits, providing free dietary counseling, reducing the volume of study blood collection, and reducing the frequency of visits were some changes made in the study protocol that increased participant satisfaction. Conclusion Adopting a participant-centered approach with accommodations in the protocol for cultural adaptability and incorporating participant feedback is vital for carrying out research in low-income and middle-income regions.
Collapse
Affiliation(s)
- Titilayo O. Ilori
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine Boston, Massachusetts, USA
| | - Adaobi Solarin
- Department of Pediatrics and Child Health, College of Medicine, Lagos State University, Nigeria
| | - Mamven Manmak
- Department of Internal Medicine, University of Abuja, Nigeria
| | - Yemi R. Raji
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rotimi Braimoh
- Department of Medicine, College of Medicine, University of Lagos, Nigeria
| | - Edward Kwakyi
- Department of Medicine and Therapeutics, University of Ghana Medical School, University of Ghana, Ghana
| | | | - Titilope Ajepe
- Department of Physiotherapy, College of Medicine, University of Lagos, Nigeria
| | - Omotoso Bolanle
- Department of Medicine, Obafemi Awolowo University, Ile-Ife, Nigeria
| | - Nanna Ripiye
- Department of Internal Medicine, University of Abuja, Nigeria
| | - Ernestina Eduful
- Department of Medicine and Therapeutics, University of Ghana Medical School, University of Ghana, Ghana
| | - Temitayo Adebile
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine Boston, Massachusetts, USA
| | | | - Amisu A. Mumuni
- Department of Medicine, College of Medicine, Lagos State University, Nigeria
| | - Jessica Chern
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine Boston, Massachusetts, USA
| | - Morenikeji Akinpelu
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine Boston, Massachusetts, USA
| | | | - Fatiu Arogundade
- Department of Medicine, Obafemi Awolowo University, Ile-Ife, Nigeria
| | - Babatunde L. Salako
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rasheed Gbadegesin
- Department of Pediatrics, Department of Medicine, Duke University School of Medicine, North Carolina, USA
| | - Rulan S. Parekh
- Department of Medicine, Women’s College Hospital, Hospital for Sick Children and University of Toronto, Ontario, Canada
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | | | - Dwomoa Adu
- Department of Medicine and Therapeutics, University of Ghana Medical School, University of Ghana, Ghana
| | - Cheryl A.M. Anderson
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA
| | - Akinlolu Ojo
- Department of Medicine, Kansas University Medical Center, The University of Kansas, Kansas, USA
| | - Sushrut S. Waikar
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine Boston, Massachusetts, USA
| |
Collapse
|
13
|
Mohottige D, Olabisi O, Boulware LE. Use of Race in Kidney Function Estimation: Lessons Learned and the Path Toward Health Justice. Annu Rev Med 2023; 74:385-400. [PMID: 36706748 DOI: 10.1146/annurev-med-042921-124419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
In 2020, the nephrology community formally interrogated long-standing race-based clinical algorithms used in the field, including the kidney function estimation equations. A comprehensive understanding of the history of kidney function estimation and racial essentialism is necessary to understand underpinnings of the incorporation of a Black race coefficient into prior equations. We provide a review of this history, as well as the considerations used to develop race-free equations that are a guidepost for a more equity-oriented, scientifically rigorous future for kidney function estimation and other clinical algorithms and processes in which race may be embedded as a variable.
Collapse
Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; .,Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina, USA.,Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Opeyemi Olabisi
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; .,Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - L Ebony Boulware
- Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina, USA.,Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| |
Collapse
|
14
|
Giudicelli GC, De Souza CMB, Veronese FV, Pereira LV, Hünemeier T, Vianna FSL. Precision medicine implementation challenges for APOL1 testing in chronic kidney disease in admixed populations. Front Genet 2022; 13:1016341. [PMID: 36588788 PMCID: PMC9797503 DOI: 10.3389/fgene.2022.1016341] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Chronic Kidney Disease (CKD) is a public health problem that presents genetic and environmental risk factors. Two alleles in the Apolipoprotein L1 (APOL1) gene were associated with chronic kidney disease; these alleles are common in individuals of African ancestry but rare in European descendants. Genomic studies on Afro-Americans have indicated a higher prevalence and severity of chronic kidney disease in people of African ancestry when compared to other ethnic groups. However, estimates in low- and middle-income countries are still limited. Precision medicine approaches could improve clinical outcomes in carriers of risk alleles in the Apolipoprotein L1 gene through early diagnosis and specific therapies. Nevertheless, to enhance the definition of studies on these variants, it would be necessary to include individuals with different ancestry profiles in the sample, such as Latinos, African Americans, and Indigenous peoples. There is evidence that measuring genetic ancestry improves clinical care for admixed people. For chronic kidney disease, this knowledge could help establish public health strategies for monitoring patients and understanding the impact of the Apolipoprotein L1 genetic variants in admixed populations. Therefore, researchers need to develop resources, methodologies, and incentives for vulnerable and disadvantaged communities, to develop and implement precision medicine strategies and contribute to consolidating diversity in science and precision medicine in clinical practice.
Collapse
Affiliation(s)
- Giovanna Câmara Giudicelli
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratório de Medicina Genômica, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Instituto Nacional de Ciência e Tecnologia de Genética Médica Populacional, Porto Alegre, RS, Brazil
| | - Celia Mariana Barbosa De Souza
- Departamento de Nefrologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Programa de Pós-graduação em Medicina: Ciências Médicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Francisco Veríssimo Veronese
- Departamento de Nefrologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Programa de Pós-graduação em Medicina: Ciências Médicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Lygia V. Pereira
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, Brazil
- Institut de Biologia Evolutiva, CSIC/Universitat Pompeu Fabra, Barcelona, Spain
| | - Fernanda Sales Luiz Vianna
- Laboratório de Medicina Genômica, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Instituto Nacional de Ciência e Tecnologia de Genética Médica Populacional, Porto Alegre, RS, Brazil
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Programa de Medicina Personalizada Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| |
Collapse
|
15
|
Shelton BA, Sawinski D, MacLennan PA, Lee W, Wyatt C, Nadkarni G, Fatima H, Mehta S, Crane HM, Porrett P, Julian B, Moore RD, Christopoulos K, Jacobson JM, Muller E, Eron JJ, Saag M, Peter I, Locke JE. Associations between female birth sex and risk of chronic kidney disease development among people with HIV in the USA: A longitudinal, multicentre, cohort study. EClinicalMedicine 2022; 53:101653. [PMID: 36159042 PMCID: PMC9489495 DOI: 10.1016/j.eclinm.2022.101653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 01/28/2023] Open
Abstract
Background Women represent a meaningful proportion of new HIV diagnoses, with Black women comprising 58% of new diagnoses among women. As HIV infection also increases risk of chronic kidney disease (CKD), understanding CKD risk among women with HIV (WWH), particularly Black women, is critical. Methods In this longitudinal cohort study of people with HIV (PWH) enrolled in CFAR Network of Integrated Clinical Systems (CNICS), a multicentre study comprised of eight academic medical centres across the United States from Jan 01, 1996 and Nov 01, 2019, adult PWH were excluded if they had ≤2 serum creatinine measurements, developed CKD prior to enrollment, or identified as intersex or transgendered, leaving a final cohort of 33,998 PWH. The outcome was CKD development, defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1·73 m2 calculated using the CKD-EPI equation, for ≥90 days with no intervening higher values. Findings Adjusting for demographic and clinical characteristics, WWH were 61% more likely to develop CKD than men (adjusted hazard ratio [aHR]: 1·61, 95% CI: 1·46-1·78, p<0·001). This difference persisted after further adjustment for APOL1 risk variants (aHR female sex: 1·92, 95% CI: 1·63-2·26, p<0·001) and substance abuse (aHR female sex: 1·70, 95% CI: 1·54-1·87, p<0·001). Interpretation WWH experienced increased risk of CKD. Given disparities in care among patients with end-stage kidney disease, efforts to engage WWH in nephrology care to improve chronic disease management are critical. Funding US National Institutes of Health.
Collapse
Affiliation(s)
- Brittany A. Shelton
- Department of Public Health, University of Tennessee, Knoxville, TN, United States
| | | | - Paul A. MacLennan
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | - Wonjun Lee
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Girish Nadkarni
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Huma Fatima
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | - Shikha Mehta
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | - Heidi M. Crane
- University of Washington School of Medicine, United States
| | - Paige Porrett
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | - Bruce Julian
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | | | | | | | - Elmi Muller
- Stellenbosch University, Medicine and Health Sciences, South Africa
| | - Joseph J. Eron
- University of North Carolina at Chapel Hill School of Medicine, United States
| | - Michael Saag
- University of Alabama at Birmingham Heersink School of Medicine, United States
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jayme E. Locke
- University of Alabama at Birmingham Heersink School of Medicine, United States
| |
Collapse
|
16
|
Reed RD, Locke JE. Reducing Racial Disparities in Access to Transplant in the United States: One Step at a Time. Clin J Am Soc Nephrol 2022; 17:1439-1441. [PMID: 36122939 PMCID: PMC9528261 DOI: 10.2215/cjn.09590822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Rhiannon D. Reed
- Department of Surgery, Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, Alabama
| | - Jayme E. Locke
- Department of Surgery, Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, Alabama
| |
Collapse
|
17
|
Mariño-Ramírez L, Sharma S, Rishishwar L, Conley AB, Nagar SD, Jordan IK. Effects of genetic ancestry and socioeconomic deprivation on ethnic differences in serum creatinine. Gene 2022; 837:146709. [PMID: 35772650 PMCID: PMC9288982 DOI: 10.1016/j.gene.2022.146709] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 06/24/2022] [Indexed: 11/18/2022]
Abstract
The inclusion of ethnicity in equations for estimating the glomerular filtration rate (eGFR) from serum creatinine levels has been challenged since ethnicity is socially defined and therefore a poor proxy for biological differences. We hypothesized that genetic ancestry (GA) would be more strongly associated with creatinine levels among healthy individuals than self-identified ethnicity. We studied a diverse cohort of 35,590 participants characterized as part of the UK Biobank, grouped by self-reported ethnicity: Black, East Asian, Mixed, Other, South Asian, and White. We used multivariable modeling to test for associations between ethnicity, GA, socioeconomic deprivation, and serum creatinine levels, including covariates for age, sex, height, and body mass index. Model fit comparisons and relative importance analysis were used to compare the effects of ethnicity and GA on creatinine levels. Black ethnicity shows a positive effect on participant serum creatinine levels (β = 9.36 ± 0.38), whereas East Asian (β = -1.80 ± 0.66) and South Asian (β = -0.28 ± 0.36) ethnicity show negative effects on creatinine. Male sex (β = 17.69 ± 0.34) and height (β = 0.13 ± 0.02) also show high positive associations with creatinine levels, while socioeconomic deprivation (β = -0.04 ± 0.04) shows no significant association. African ancestry has the highest association (β = 13.81 ± 0.52) with creatinine levels. Overall, GA (9.06%) explains significantly more of the variation in creatinine levels than ethnicity (4.96%), with African ancestry (6.36%) alone explaining more of the variation than ethnicity. We found that GA explains more of the variation in serum creatinine levels than socioeconomic deprivation, suggesting the possibility that ethnic differences in creatinine are shaped by genetic rather than social factors.
Collapse
Affiliation(s)
- Leonardo Mariño-Ramírez
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia.
| | - Shivam Sharma
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Lavanya Rishishwar
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA
| | - Andrew B Conley
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA
| | - Shashwat Deepali Nagar
- PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - I King Jordan
- PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA.
| |
Collapse
|
18
|
Ng DK, Furth SL, Warady BA, Crews DC, Seegmiller JC, Schwartz GJ. Self-reported Race, Serum Creatinine, Cystatin C, and GFR in Children and Young Adults With Pediatric Kidney Diseases: A Report From the Chronic Kidney Disease in Children (CKiD) Study. Am J Kidney Dis 2022; 80:174-185.e1. [PMID: 34974031 PMCID: PMC9243196 DOI: 10.1053/j.ajkd.2021.10.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/24/2021] [Indexed: 01/27/2023]
Abstract
RATIONALE & OBJECTIVE Recent reassessment of the use of race in estimated glomerular filtration rate (eGFR) in adults has instigated questions about the role of race in eGFR expressions for children. Little research has examined the associations of self-reported race with measured GFR (mGFR) adjusting for serum creatinine or cystatin C in children and young adults with chronic kidney disease (CKD). This study examined these associations and evaluated the performance of the previously published "U25" (under the age of 25 years) eGFR equations in a large cohort of children and young adults with CKD. STUDY DESIGN Observational cohort study. SETTING & PARTICIPANTS Participants in the Chronic Kidney Disease in Children (CKiD) study including 190 Black and 675 non-Black participants contributing 473 and 1,897 annual person-visits, respectively. EXPOSURE Self- or parental-reported race (Black, non-Black). Adjustment for serum creatinine or cystatin C, body size, and socioeconomic status. OUTCOME mGFR based on iohexol clearance. ANALYTICAL APPROACH Linear regression with generalized estimating equations, stratified by age (<6, 6-12, 12-18, and ≥18 years) incorporating serum creatinine or serum cystatin C. Contrasting performance in different self-reported racial groups of the U25 eGFR equations. RESULTS Self-reported Black race was significantly associated with 12.8% higher mGFR among children in regression models including serum creatinine. Self-reported Black race was significantly associated with 3.5% lower mGFR after adjustment for cystatin C overall but was not significant for those over 12 years. The results were similar after adjustment for body size and socioeconomic factors. The average of creatinine- and cystatin C-based U25 equations was unbiased by self-reported race groups. LIMITATIONS Small number of children < 6 years; lean body mass was estimated. CONCLUSIONS Differences in the creatinine-mGFR relationship by self-reported race were observed in children and young adults with CKD and were consistent with findings in adults. Smaller and opposite differences were observed for the cystatin C-mGFR relationship, especially in the younger age group. We recommend inclusion of children for future investigations of biomarkers to estimate GFR. Importantly, for GFR estimation among those under 25 years of age, the average of the new U25 creatinine and cystatin C equations without race coefficients yields unbiased estimates of mGFR.
Collapse
Affiliation(s)
- Derek K. Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Susan L. Furth
- Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Pediatrics, Division of Nephrology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bradley A. Warady
- Division of Pediatric Nephrology, Children’s Mercy Kansas City, Kansas City, MO, USA
| | - Deidra C. Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jesse C. Seegmiller
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - George J. Schwartz
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | | |
Collapse
|
19
|
Sealock JM, Ziogas IA, Zhao Z, Ye F, Alexopoulos SP, Matsuoka L, Chen G, Davis LK. Proposing a Sex-Adjusted Sodium-Adjusted MELD Score for Liver Transplant Allocation. JAMA Surg 2022; 157:618-626. [PMID: 35583884 PMCID: PMC9118088 DOI: 10.1001/jamasurg.2022.1548] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/05/2022] [Indexed: 01/11/2023]
Abstract
Importance Liver allocation is determined by the model for end-stage liver disease (MELD), a scoring system based on 4 laboratory measurements. During the MELD era, sex disparities in liver transplant have increased and there are no modifications to MELD based on sex. Objective To use laboratory values stored in electronic health records to describe population-level sex differences in all MELD laboratory values (in healthy individuals and patients with liver disease) and propose a sex adjustment. Design, Setting, and Participants A retrospective cohort study was conducted from March 2019 to April 2020 to evaluate sex differences in laboratory values in liver transplant patients, patients with liver disease who did not undergo transplant, and healthy controls. Primary analyses were conducted in Vanderbilt University Medical Center (VUMC)'s deidentified electronic health record system. Replication analyses were conducted in the All of Us Research Program. Simulations of a sex-adjusted sodium-adjusted MELD (MELDNa) score were completed using liver transplant waiting list data from the liver simulated allocation modeling system. Patients who regularly used VUMC with measurements for any MELDNa component laboratory were included in the analyses. Analysis took place from November 2019 to March 2021. Exposures Electronic health record-reported sex. Main Outcomes and Measure Creatinine, bilirubin, international normalized ratio, and sodium levels. Results The VUMC sample was composed of 623 931 individuals (359 976 [57.7%] female) with a median (IQR) age of 44 (23-61) years. All component MELDNa laboratory values and calculated MELDNa scores yielded significant sex differences within VUMC (mean [SD] creatinine: male, 0.99 [0.39] mg/dL; female, 0.79 [0.30] mg/dL; P < .001; bilirubin: male, 0.76 [0.83] mg/dL; female, 0.58 [0.64] mg/dL; P < .001; international normalized ratio of prothrombin rate: male, 1.24 [0.42]; female, 1.20 [0.40]; P < .001; sodium: male, 139.00 [2.36] mEq/L; female, 139.03 [2.28] mEq/L; P < .001), resulting in MELDNa scoring that disadvantaged female individuals. This pattern persisted when the sample was divided into healthy controls, individuals with liver disease who did not undergo transplant, and patients who did undergo liver transplant. Female transplant patients had a greater number of decompensation traits (mean [SD]: male, 1.34 [1.11]; female, 1.60 [1.09]; P = .005), despite having lower MELDNa scores (mean [SD]: male, 21.72 [6.11]; female, 20.21 [6.15]; P = .005), indicating MELDNa scores are not accurately representing disease severity in female individuals. In simulations, the sex-adjusted MELDNa score modestly increased female transplant rate and decreased overall death. Conclusions and Relevance These results demonstrate pervasive sex differences in all laboratory values used in MELDNa scoring and highlight the need and utility of a sex-adjustment to the MELDNa protocol.
Collapse
Affiliation(s)
- Julia M. Sealock
- Division of Hepatobiliary Surgery and Liver Transplantation, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ioannis A. Ziogas
- Division of Hepatobiliary Surgery and Liver Transplantation, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Zhiguo Zhao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sophoclis P. Alexopoulos
- Division of Hepatobiliary Surgery and Liver Transplantation, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Lea Matsuoka
- Division of Hepatobiliary Surgery and Liver Transplantation, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Guanhua Chen
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison
| | - Lea K. Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Medicine and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| |
Collapse
|
20
|
Gray J, Hillman LA, Vivian E, St. Peter WL. Pharmacist's Role in Reducing
Medication‐Related
Racial Disparities in African American Patients with Chronic Kidney Disease. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Julie Gray
- University of Minnesota College of Pharmacy Minneapolis Minnesota
| | - Lisa A. Hillman
- University of Minnesota College of Pharmacy Minneapolis Minnesota
| | - Eva Vivian
- University of Wisconsin‐Madison School of Pharmacy Madison Wisconsin
| | | |
Collapse
|
21
|
Delgado C, Powe NR. Resolving the Debate: The Future of Using Race in Estimating Kidney Function. Adv Chronic Kidney Dis 2022; 29:5-16. [PMID: 35690404 DOI: 10.1053/j.ackd.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/27/2022] [Accepted: 02/10/2022] [Indexed: 11/11/2022]
Abstract
Racial and social unrest witnessed during 2020 ignited a national conversation about the appropriateness of the use of race in health care algorithms and in the estimation of kidney function in particular. The growing concerns over the use of race in kidney function-estimating equations prompted the National Kidney Foundation (NKF) and American Society of Nephrology to launch an effort for change by establishing a task force on reassessing the use of race in diagnosing kidney disease. After nearly a year examining the evidence and obtaining testimony from experts and stakeholders, the task force recommended the immediate implementation of the 2020 Chronic Kidney Disease-Epidemiology creatinine equation refit without race in all US laboratories; increased routine use of cystatin C for confirmation of estimated glomerular filtration rate in clinical decision-making and a call for research on glomerular filtration rate estimation with new endogenous filtration markers and on addressing disparities in health and health care. The NKF and American Society of Nephrology strongly encouraged rapid adoption of these new recommendations. Leadership efforts of the NKF have begun to lay the foundation for national implementation through laboratory engagement, clinician awareness, and patient education.
Collapse
Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco VA Medical Center, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA.
| | - Neil R Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA
| |
Collapse
|
22
|
Marzinke MA, Greene DN, Bossuyt PM, Chambliss AB, Cirrincione LR, McCudden CR, Melanson SEF, Noguez JH, Patel K, Radix AE, Takwoingi Y, Winston-McPherson G, Young BA, Hoenig MP. Limited Evidence for Use of a Black Race Modifier in eGFR Calculations: A Systematic Review. Clin Chem 2021; 68:521-533. [DOI: 10.1093/clinchem/hvab279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Commonly used estimated glomerular filtration rate (eGFR) equations include a Black race modifier (BRM) that was incorporated during equation derivation. Race is a social construct, and a poorly characterized variable that is applied inconsistently in clinical settings. The BRM results in higher eGFR for any creatinine concentration, implying fundamental differences in creatinine production or excretion in Black individuals compared to other populations. Equations without inclusion of the BRM have the potential to detect kidney disease earlier in patients at the greatest risk of chronic kidney disease (CKD), but also has the potential to over-diagnose CKD or impact downstream clinical interventions. The purpose of this study was to use an evidence- based approach to systematically evaluate the literature relevant to the performance of the eGFR equations with and without the BRM and to examine the clinical impact of the use or removal.
Content
PubMed and Embase databases were searched for studies comparing measured GFR to eGFR in racially diverse adult populations using the Modification of Diet in Renal Disease or the 2009-Chronic Kidney Disease Epidemiology Collaboration-creatinine equations based on standardized creatinine measurements. Additionally, we searched for studies comparing clinical use of eGFR calculated with and without the BRM. 8,632 unique publications were identified; an additional 3 studies were added post-hoc. In total, 96 studies were subjected to further analysis and 44 studies were used to make a final assessment.
Summary
There is limited published evidence to support the use of a BRM in eGFR equations.
Collapse
Affiliation(s)
- Mark A Marzinke
- Departments of Pathology and Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dina N Greene
- Department of Laboratory Medicine and Pathology; University of Washington, Seattle, WA; Kaiser Permanente, Renton, WA
| | - Patrick M Bossuyt
- Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | | | | | - Christopher R McCudden
- Department of Pathology and Laboratory Medicine, The Ottawa Hospital; University of Ottawa; Eastern Ontario Regional Laboratory Association, Ottawa, Ontario, Canada
| | - Stacy E F Melanson
- Department of Pathology; Brigham and Women’s Hospital; Harvard Medical School, Boston, MA
| | - Jaime H Noguez
- Department of Pathology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH
| | - Khushbu Patel
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
| | - Asa E Radix
- Callen-Lorde Community Health Center, New York, NY
| | - Yemisi Takwoingi
- Institute of Applied Health Research,University of Birmingham and NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | | | - Bessie A Young
- Office of Healthcare Equity, Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
| | - Melanie P Hoenig
- Renal Division, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA
| |
Collapse
|
23
|
Hsu CY, Yang W, Parikh RV, Anderson AH, Chen TK, Cohen DL, He J, Mohanty MJ, Lash JP, Mills KT, Muiru AN, Parsa A, Saunders MR, Shafi T, Townsend RR, Waikar SS, Wang J, Wolf M, Tan TC, Feldman HI, Go AS. Race, Genetic Ancestry, and Estimating Kidney Function in CKD. N Engl J Med 2021; 385:1750-1760. [PMID: 34554660 PMCID: PMC8994696 DOI: 10.1056/nejmoa2103753] [Citation(s) in RCA: 146] [Impact Index Per Article: 48.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND The inclusion of race in equations to estimate the glomerular filtration rate (GFR) has become controversial. Alternative equations that can be used to achieve similar accuracy without the use of race are needed. METHODS In a large national study involving adults with chronic kidney disease, we conducted cross-sectional analyses of baseline data from 1248 participants for whom data, including the following, had been collected: race as reported by the participant, genetic ancestry markers, and the serum creatinine, serum cystatin C, and 24-hour urinary creatinine levels. RESULTS Using current formulations of GFR estimating equations, we found that in participants who identified as Black, a model that omitted race resulted in more underestimation of the GFR (median difference between measured and estimated GFR, 3.99 ml per minute per 1.73 m2 of body-surface area; 95% confidence interval [CI], 2.17 to 5.62) and lower accuracy (percent of estimated GFR within 10% of measured GFR [P10], 31%; 95% CI, 24 to 39) than models that included race (median difference, 1.11 ml per minute per 1.73 m2; 95% CI, -0.29 to 2.54; P10, 42%; 95% CI, 34 to 50). The incorporation of genetic ancestry data instead of race resulted in similar estimates of the GFR (median difference, 1.33 ml per minute per 1.73 m2; 95% CI, -0.12 to 2.33; P10, 42%; 95% CI, 34 to 50). The inclusion of non-GFR determinants of the serum creatinine level (e.g., body-composition metrics and urinary excretion of creatinine) that differed according to race reported by the participants and genetic ancestry did not eliminate the misclassification introduced by removing race (or ancestry) from serum creatinine-based GFR estimating equations. In contrast, the incorporation of race or ancestry was not necessary to achieve similarly statistically unbiased (median difference, 0.33 ml per minute per 1.73 m2; 95% CI, -1.43 to 1.92) and accurate (P10, 41%; 95% CI, 34 to 49) estimates in Black participants when GFR was estimated with the use of cystatin C. CONCLUSIONS The use of the serum creatinine level to estimate the GFR without race (or genetic ancestry) introduced systematic misclassification that could not be eliminated even when numerous non-GFR determinants of the serum creatinine level were accounted for. The estimation of GFR with the use of cystatin C generated similar results while eliminating the negative consequences of the current race-based approaches. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases and others.).
Collapse
Affiliation(s)
- Chi-Yuan Hsu
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Wei Yang
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Rishi V Parikh
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Amanda H Anderson
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Teresa K Chen
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Debbie L Cohen
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Jiang He
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Madhumita J Mohanty
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - James P Lash
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Katherine T Mills
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Anthony N Muiru
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Afshin Parsa
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Milda R Saunders
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Tariq Shafi
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Raymond R Townsend
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Sushrut S Waikar
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Jianqiao Wang
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Myles Wolf
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Thida C Tan
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Harold I Feldman
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| | - Alan S Go
- From the Division of Nephrology, Department of Medicine (C.H., A.N.M., A.S.G.), and the Departments of Epidemiology and Biostatistics (A.S.G.), University of California, San Francisco, San Francisco, the Division of Research, Kaiser Permanente Northern California, Oakland (C.H., R.V.P., T.C.T., A.S.G.), the Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena (A.S.G.), and the Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto (A.S.G.) - all in California; the Department of Biostatistics, Epidemiology, and Informatics and the Center for Clinical Epidemiology and Biostatistics (W.Y., J.W., H.I.F.), the Division of Division of Renal-Electrolyte and Hypertension (D.L.C.), and the Department of Medicine (R.R.T.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; the Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (A.H.A., J.H., K.T.M.) and the Tulane University Translational Science Institute (A.H.A., J.H., K.T.M.), New Orleans; the Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore (T.K.C.), and the Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda (A.P.) - all in Maryland; the Division of Nephrology, Department of Internal Medicine, Wayne State University, Detroit (M.J.M.); the Division of Nephrology, Department of Medicine, University of Illinois at Chicago (J.P.L.), and the Section of General Internal Medicine, Department of Medicine, University of Chicago (M.R.S.) - both in Chicago; the Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (T.S.); the Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston (S.S.W.); and the Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.W.)
| |
Collapse
|
24
|
Nguyen VK, Colacino J, Chung MK, Goallec AL, Jolliet O, Patel CJ. Characterising the relationships between physiological indicators and all-cause mortality (NHANES): a population-based cohort study. THE LANCET. HEALTHY LONGEVITY 2021; 2:e651-e662. [PMID: 34825242 PMCID: PMC8612451 DOI: 10.1016/s2666-7568(21)00212-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Mortality risk stratification based on dichotomising a physiological indicator with a cutoff point might not adequately capture increased mortality risk and might not account for non-linear associations. We aimed to characterise the linear and non-linear relationships of 27 physiological indicators with all-cause mortality to evaluate whether the current clinical thresholds are suitable in distinguishing patients at high risk for mortality from those at low risk. METHODS For this observational cohort study of the US non-institutionalised population, we used data from adults (≥18 years) included in the 1999-2014 National Health and Nutrition Examination Survey (NHANES) linked with National Death Index mortality data collected from Jan 1, 1999, up until Dec 31, 2015. We used Cox proportional hazards regression models adjusted for age, sex, and race or ethnicity to assess associations of physiological indicators with all-cause mortality. We assessed non-linear associations by discretising the physiological indicator into nine quantiles (termed novemtiles) and by using a weighted sum of cubic polynomials (spline). We used ten-fold cross validation to select the most appropriate model using the concordance index, Nagelkerke R2, and Akaike Information Criterion. We identified the level of each physiological indicator that led to a 10% increase in mortality risk to define our cutoffs used to compare with the current clinical thresholds. FINDINGS We included 47 266 adults of 82 091 assessed for eligibility. 25 (93%) of 27 indicators showed non-linear associations with substantial increases compared with linear models in mortality risk (1·5-2·5-times increase). Height and 60 s pulse were the only physiological indicators to show linear associations. For example, participants with an estimated glomerular filtration rate (GFR) of less than 65 mL/min per 1·73 m2 or between 90-116 mL/min per 1·73 m2 are at moderate (hazard ratio 1-2) mortality risk. Those with a GFR greater than 117 mL/min per 1·73 m2 show substantial (hazard ratio ≥2) mortality risk. Both lower and higher values of cholesterol are associated with increased mortality risk. The current clinical thresholds do not align with our mortality-based cutoffs for fat deposition indices, 60 s pulse, triglycerides, cholesterol-related indicators, alkaline phosphatase, glycohaemoglobin, homoeostatic model assessment of insulin resistance, and GFR. For these indicators, the misalignment suggests the need to consider an additional bound when only one is provided. INTERPRETATION Most clinical indicators were shown to have non-linear associations with all-cause mortality. Furthermore, considering these non-linear associations can help derive reliable cutoffs to complement risk stratification and help inform clinical care delivery. Given the poor alignment with our proposed cutoffs, the current clinical thresholds might not adequately capture mortality risk.
Collapse
Affiliation(s)
- Vy Kim Nguyen
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Justin Colacino
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Ming Kei Chung
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Alan Le Goallec
- Department of Systems, Synthetic, and Quantitative Biology, Harvard Medical School, Boston, MA, USA
| | - Olivier Jolliet
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
25
|
Zhang Z, Sun Z, Fu J, Lin Q, Banu K, Chauhan K, Planoutene M, Wei C, Salem F, Yi Z, Liu R, Cravedi P, Cheng H, Hao K, O'Connell PJ, Ishibe S, Zhang W, Coca SG, Gibson IW, Colvin RB, He JC, Heeger PS, Murphy BT, Menon MC. Recipient APOL1 risk alleles associate with death-censored renal allograft survival and rejection episodes. J Clin Invest 2021; 131:e146643. [PMID: 34499625 DOI: 10.1172/jci146643] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 09/01/2021] [Indexed: 11/17/2022] Open
Abstract
Apolipoprotein L1 (APOL1) risk-alleles in donor kidneys associate with graft loss but whether recipient risk-allele expression impacts transplant outcomes is unclear. To test whether recipient APOL1 risk-alleles independently correlate with transplant outcomes, we analyzed genome-wide SNP genotyping data of donors and recipients from two kidney transplant cohorts, Genomics of Chronic Allograft Rejection (GOCAR) and Clinical Trials in Organ Transplantation (CTOT1/17). We estimated genetic ancestry (quantified as proportion of African ancestry or pAFR) by ADMIXTURE and correlated APOL1 genotypes and pAFR with outcomes. In the GOCAR discovery set, we observed that the number of recipient APOL1 G1/G2 alleles (R-nAPOL1) associated with increased risk of death-censored allograft loss (DCAL), independent of ancestry (HR = 2.14; P = 0.006), and within the subgroup of African American and Hispanic (AA/H) recipients (HR = 2.36; P = 0.003). R-nAPOL1 also associated with increased risk of any T cell-mediated rejection (TCMR) event. These associations were validated in CTOT1/17. Ex vivo studies of peripheral blood mononuclear cells revealed unanticipated high APOL1 expression in activated CD4+/CD8+ T cells and natural killer cells. We detected enriched immune response gene pathways in risk-allele carriers vs. non-carriers on the kidney transplant waitlist and among healthy controls. Our findings demonstrate an immunomodulatory role for recipient APOL1 risk-alleles associating with TCMR and DCAL. This finding has broader implications for immune mediated injury to native kidneys.
Collapse
Affiliation(s)
- Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Zeguo Sun
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Jia Fu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Qisheng Lin
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Khadija Banu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Kinsuk Chauhan
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Marina Planoutene
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Chengguo Wei
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Fadi Salem
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Zhengzi Yi
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ruijie Liu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Paolo Cravedi
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Haoxiang Cheng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Philip J O'Connell
- Centre for Transplant and Renal Research, Westmead Millennium Institute for Medical Research, Sydney University, Westmead, Australia
| | - Shuta Ishibe
- Department of Medicine, Yale University School of Medicine, New Haven, United States of America
| | - Weijia Zhang
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Steven G Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ian W Gibson
- Department of Pathology, University of Manitoba, Winnipeg, Canada
| | - Robert B Colvin
- Department of Pathology, Massachusetts General Hospital, Boston, United States of America
| | - John C He
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Peter S Heeger
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Barbara T Murphy
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Madhav C Menon
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| |
Collapse
|
26
|
Gama RM, Clery A, Griffiths K, Heraghty N, Peters AM, Palmer K, Kibble H, Vincent RP, Sharpe CC, Cairns H, Bramham K. Estimated glomerular filtration rate equations in people of self-reported black ethnicity in the United Kingdom: Inappropriate adjustment for ethnicity may lead to reduced access to care. PLoS One 2021; 16:e0255869. [PMID: 34383841 PMCID: PMC8360513 DOI: 10.1371/journal.pone.0255869] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 07/27/2021] [Indexed: 12/15/2022] Open
Abstract
Assessment in African populations suggest adjustment for ethnicity in estimated glomerular filtration rate (eGFR) equations derived from African Americans lead to overestimation of GFR and failure to determine severity in chronic kidney disease (CKD). However, studies in African Europeans are limited. We aimed to assess accuracy of eGFR equations, with and without ethnicity adjustment compared with measured GFR in people of Black ethnicity in the United Kingdom. Performance of MDRD, CKD-EPI (with and without ethnicity adjustment), Full Age Spectrum (FAS), revised Lund Malmö (LM Revised), and European Kidney Function Consortium (EKFC) eGFR equations were assessed compared to 51Cr-EDTA GFR studies extracted from hospital databases. Participants with albumin <30g/l, liver disease, <18 years, of non-Black or non-White self-reported ethnicity were excluded. Agreement was assessed by bias, precision and 30%-accuracy and was stratified for ethnicity and GFR. 1888 51Cr-EDTA studies were included (Mean age-53.7yrs; 43.6% female; 14.1% Black ethnicity). Compared to White participants, eGFR-MDRD and eGFR-CKD-EPI equations in Black participants significantly overestimated GFR (bias 20.3 and 19.7 ml/min/1.73m2 respectively, p<0.001). Disregarding the ethnicity adjustment significantly improved GFR estimates for Black participants (bias 6.7 and 2.4ml/min/1.73m2 for eGFR-MDRD and eGFR-CKD-EPI respectively, p<0.001). The LM Revised equation had the smallest bias for both White and Black participants (5.8ml and -1.1ml/min/1.73m2 respectively). 30%-accuracy was superior for GFR≥60ml/min/1.73m2 compared to <60ml/min/1.73m2 using eGFR-CKD-EPI equation for both White and Black participants (p<0.001). Multivariate regression methodology with adjustment for age, sex and log(serum creatinine) in the cohort yielded an ethnicity coefficient of 1.018 (95% CI: 1.009-1.027). Overestimation of measured GFR with eGFR equations using ethnicity adjustment factors may lead to reduced CKD diagnosis and under-recognition of severity in people of Black ethnicity. Our findings suggest that ethnicity adjustment for GFR estimation in non-African Americans may not be appropriate for use in people of Black ethnicity in the UK.
Collapse
Affiliation(s)
- Rouvick M. Gama
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Amanda Clery
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
| | - Kathryn Griffiths
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Neil Heraghty
- Department of Nuclear Medicine, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Adrien M. Peters
- Department of Nuclear Medicine, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Kieran Palmer
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Henry Kibble
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Royce P. Vincent
- Department of Clinical Biochemistry, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Claire C. Sharpe
- Department of Inflammation Biology, School of Immunology and Microbial Sciences, King’s College London, London, United Kingdom
| | - Hugh Cairns
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Kate Bramham
- King’s Kidney Care, King’s College Hospital NHS Foundation Trust, London, United Kingdom
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| |
Collapse
|
27
|
Brañez-Condorena A, Goicochea-Lugo S, Zafra-Tanaka JH, Becerra-Chauca N, Failoc-Rojas VE, Herrera-Añazco P, Taype-Rondan A. Performance of the CKD-EPI and MDRD equations for estimating glomerular filtration rate: a systematic review of Latin American studies. SAO PAULO MED J 2021; 139:452-463. [PMID: 34378734 PMCID: PMC9632528 DOI: 10.1590/1516-3180.2020.0707.r1.150321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The most-used equations for estimating the glomerular filtration rate (GFR) are the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations. However, it is unclear which of these shows better performance in Latin America. OBJECTIVE To assess the performance of two equations for estimated GFR (eGFR) in Latin American countries. DESIGN AND SETTING Systematic review and meta-analysis in Latin American countries. METHODS We searched in three databases to identify studies that reported eGFR using both equations and compared them with measured GFR (mGFR) using exogenous filtration markers, among adults in Latin American countries. We performed meta-analyses on P30, bias (using mean difference [MD] and 95% confidence intervals [95% CI]), sensitivity and specificity; and evaluated the certainty of evidence using the GRADE methodology. RESULTS We included 12 papers, and meta-analyzed six (five from Brazil and one from Mexico). Meta-analyses that compared CKD-EPI using creatinine measured with calibration traceable to isotope dilution mass spectrometry (CKD-EPI-Cr IDMS) and using MDRD-4 IDMS did not show differences in bias (MD: 0.55 ml/min/1.73m2; 95% CI: -3.34 to 4.43), P30 (MD: 4%; 95% CI: -2% to 11%), sensitivity (76% and 75%) and specificity (91% and 89%), with very low certainty of evidence for bias and P30, and low certainty of evidence for sensitivity and specificity. CONCLUSION We found that the performances of CKD-EPI-Cr IDMS and MDRD-4 IDMS did not differ significantly. However, since most of the meta-analyzed studies were from Brazil, the results cannot be extrapolated to other Latin American countries. REGISTRATION PROSPERO (CRD42019123434) - https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019123434.
Collapse
Affiliation(s)
- Ana Brañez-Condorena
- Undergraduate Student, Facultad de Medicina and Asociación para el Desarrollo de la Investigación Estudiantil en Ciencias de la Salud, Universidad Nacional Mayor de San Marcos, Lima, Peru.
| | - Sergio Goicochea-Lugo
- MD. Methodologist, EsSalud, Instituto de Evaluación de Tecnologías en Salud e Investigación, Lima, Peru.
| | | | - Naysha Becerra-Chauca
- Midwife. Methodologist, EsSalud, Instituto de Evaluación de Tecnologías en Salud e Investigación, Lima, Peru.
| | - Virgilio Efrain Failoc-Rojas
- MD, MSc. Methodologist, EsSalud, Instituto de Evaluación de Tecnologías en Salud e Investigación, Lima, Peru; and Researcher, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
| | - Percy Herrera-Añazco
- MD, MHEd. Researcher, Universidad Privada San Juan Bautista, Lima, Peru; and Assistant Manager, EsSalud, Instituto de Evaluación de Tecnologías en Salud e Investigación, Lima, Peru.
| | - Alvaro Taype-Rondan
- MD, MSc. Methodologist, EsSalud, Instituto de Evaluación de Tecnologías en Salud e Investigación, Lima, Peru; and Researcher, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
| |
Collapse
|
28
|
Diao JA, Powe NR, Manrai AK. Race-Free Equations for eGFR: Comparing Effects on CKD Classification. J Am Soc Nephrol 2021; 32:1868-1870. [PMID: 34326164 PMCID: PMC8455255 DOI: 10.1681/asn.2021020224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/03/2021] [Indexed: 02/04/2023] Open
Affiliation(s)
- James A. Diao
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, Massachusetts,Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Neil R. Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital and University of California, San Francisco, California
| | - Arjun K. Manrai
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, Massachusetts,Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
29
|
Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA, Inker LA, Mendu ML, Miller WG, Moxey-Mims MM, Roberts GV, St Peter WL, Warfield C, Powe NR. Reassessing the Inclusion of Race in Diagnosing Kidney Diseases: An Interim Report From the NKF-ASN Task Force. Am J Kidney Dis 2021; 78:103-115. [PMID: 33845065 PMCID: PMC8238889 DOI: 10.1053/j.ajkd.2021.03.008] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
For almost 2 decades, equations that use serum creatinine, age, sex, and race to estimate glomerular filtration rate (GFR) have included "race" as Black or non-Black. Given considerable evidence of disparities in health and health care delivery in African American communities, some regard keeping a race term in GFR equations as a practice that differentially influences access to care and kidney transplantation. Others assert that race captures important non-GFR determinants of serum creatinine and its removal from the calculation may perpetuate other disparities. The National Kidney Foundation (NKF) and American Society of Nephrology (ASN) established a task force in 2020 to reassess the inclusion of race in the estimation of GFR in the United States and its implications for diagnosis and subsequent management of patients with, or at risk for, kidney diseases. This interim report details the process, initial assessment of evidence, and values defined regarding the use of race to estimate GFR. We organized activities in phases: (1) clarify the problem and examine evidence, (2) evaluate different approaches to address use of race in GFR estimation, and (3) make recommendations. In phase 1, we constructed statements about the evidence and defined values regarding equity and disparities; race and racism; GFR measurement, estimation, and equation performance; laboratory standardization; and patient perspectives. We also identified several approaches to estimate GFR and a set of attributes to evaluate these approaches. Building on evidence and values, the attributes of alternative approaches to estimate GFR will be evaluated in the next phases and recommendations will be made.
Collapse
Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco Veterans Affairs Medical Center, Division of Nephrology, University of California San Francisco, San Francisco, CA.
| | - Mukta Baweja
- Nephrology Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nilka Ríos Burrows
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Deidra C Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Crystal A Gadegbeku
- Department of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation, Temple University, Philadelphia, PA
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, MA
| | - Mallika L Mendu
- Division of Renal Medicine and Office of the Chief Medical Officer, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - W Greg Miller
- Department of Pathology, Virginia Commonwealth University, Richmond, VA
| | - Marva M Moxey-Mims
- Division of Nephrology, Children's National Hospital, Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Glenda V Roberts
- External Relations and Patient Engagement, Kidney Research Institute, Center for Dialysis Innovation, University of Washington, Seattle, WA
| | | | | | - Neil R Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA.
| |
Collapse
|
30
|
Freedman BI, Burke W, Divers J, Eberhard L, Gadegbeku CA, Gbadegesin R, Hall ME, Jones-Smith T, Knight R, Kopp JB, Kovesdy CP, Norris KC, Olabisi OA, Roberts GV, Sedor JR, Blacksher E. Diagnosis, Education, and Care of Patients with APOL1-Associated Nephropathy: A Delphi Consensus and Systematic Review. J Am Soc Nephrol 2021; 32:1765-1778. [PMID: 33853887 PMCID: PMC8425659 DOI: 10.1681/asn.2020101399] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 02/12/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND APOL1 variants contribute to the markedly higher incidence of ESKD in Blacks compared with Whites. Genetic testing for these variants in patients with African ancestry who have nephropathy is uncommon, and no specific treatment or management protocol for APOL1-associated nephropathy currently exists. METHODS A multidisciplinary, racially diverse group of 14 experts and patient advocates participated in a Delphi consensus process to establish practical guidance for clinicians caring for patients who may have APOL1-associated nephropathy. Consensus group members took part in three anonymous voting rounds to develop consensus statements relating to the following: (1) counseling, genotyping, and diagnosis; (2) disease awareness and education; and (3) a vision for management of APOL1-associated nephropathy in a future when treatment is available. A systematic literature search of the MEDLINE and Embase databases was conducted to identify relevant evidence published from January 1, 2009 to July 14, 2020. RESULTS The consensus group agreed on 55 consensus statements covering such topics as demographic and clinical factors that suggest a patient has APOL1-associated nephropathy, as well as key considerations for counseling, testing, and diagnosis in current clinical practice. They achieved consensus on the need to increase awareness among key stakeholders of racial health disparities in kidney disease and of APOL1-associated nephropathy and on features of a successful education program to raise awareness among the patient community. The group also highlighted the unmet need for a specific treatment and agreed on best practice for management of these patients should a treatment become available. CONCLUSIONS A multidisciplinary group of experts and patient advocates defined consensus-based guidance on the care of patients who may have APOL1-associated nephropathy.
Collapse
Affiliation(s)
- Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, Washington
| | - Jasmin Divers
- Division of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine and Winthrop Research Institute, Mineola, New York
| | | | - Crystal A. Gadegbeku
- Department of Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Rasheed Gbadegesin
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | - Michael E. Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | | | | | - Jeffrey B. Kopp
- Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Csaba P. Kovesdy
- Division of Nephrology, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Keith C. Norris
- Division of General Internal Medicine and Health Services Research, University of California Los Angeles Medical Center, University of California, Los Angeles, California
| | - Opeyemi A. Olabisi
- Department of Medicine, Duke Molecular Physiology Institute, Durham, North Carolina
| | - Glenda V. Roberts
- Kidney Research Institute/Center for Dialysis Innovation, University of Washington, Seattle, Washington
| | - John R. Sedor
- Department of Nephrology and Hypertension, Glickman Urology and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Immunology and Inflammation, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Erika Blacksher
- Department of Bioethics and Humanities, University of Washington, Seattle, Washington
| |
Collapse
|
31
|
Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA, Inker LA, Mendu ML, Miller WG, Moxey-Mims MM, Roberts GV, St. Peter WL, Warfield C, Powe NR. Reassessing the Inclusion of Race in Diagnosing Kidney Diseases: An Interim Report from the NKF-ASN Task Force. J Am Soc Nephrol 2021; 32:1305-1317. [PMID: 33837122 PMCID: PMC8259639 DOI: 10.1681/asn.2021010039] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
For almost two decades, equations that use serum creatinine, age, sex, and race to eGFR have included "race" as Black or non-Black. Given considerable evidence of disparities in health and healthcare delivery in African American communities, some regard keeping a race term in GFR equations as a practice that differentially influences access to care and kidney transplantation. Others assert that race captures important non GFR determinants of serum creatinine and its removal from the calculation may perpetuate other disparities. The National Kidney Foundation (NKF) and American Society of Nephrology (ASN) established a task force in 2020 to reassess the inclusion of race in the estimation of GFR in the United States and its implications for diagnosis and subsequent management of patients with, or at risk for, kidney diseases. This interim report details the process, initial assessment of evidence, and values defined regarding the use of race to estimate GFR. We organized activities in phases: (1) clarify the problem and examine evidence, (2) evaluate different approaches to address use of race in GFR estimation, and (3) make recommendations. In phase one, we constructed statements about the evidence and defined values regarding equity and disparities; race and racism; GFR measurement, estimation, and equation performance; laboratory standardization; and patient perspectives. We also identified several approaches to estimate GFR and a set of attributes to evaluate these approaches. Building on evidence and values, the attributes of alternative approaches to estimate GFR will be evaluated in the next phases and recommendations will be made.
Collapse
Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco Veterans Affairs Medical Center, Division of Nephrology, University of California San Francisco, San Francisco, California
| | - Mukta Baweja
- Nephrology Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nilka Ríos Burrows
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Deidra C. Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nwamaka D. Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Crystal A. Gadegbeku
- Department of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation, Temple University, Philadelphia, Pennsylvania
| | - Lesley A. Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Mallika L. Mendu
- Division of Renal Medicine and Office of the Chief Medical Officer, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - W. Greg Miller
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia
| | - Marva M. Moxey-Mims
- Division of Nephrology, Children’s National Hospital, Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Glenda V. Roberts
- External Relations and Patient Engagement, Kidney Research Institute, Center for Dialysis Innovation, University of Washington, Seattle, Washington
| | | | | | - Neil R. Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California
| |
Collapse
|
32
|
Inker LA, Couture SJ, Tighiouart H, Abraham AG, Beck GJ, Feldman HI, Greene T, Gudnason V, Karger AB, Eckfeldt JH, Kasiske BL, Mauer M, Navis G, Poggio ED, Rossing P, Shlipak MG, Levey AS. A New Panel-Estimated GFR, Including β 2-Microglobulin and β-Trace Protein and Not Including Race, Developed in a Diverse Population. Am J Kidney Dis 2021; 77:673-683.e1. [PMID: 33301877 PMCID: PMC8102017 DOI: 10.1053/j.ajkd.2020.11.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/10/2020] [Indexed: 12/20/2022]
Abstract
RATIONALE AND OBJECTIVE Glomerular filtration rate (GFR) estimation based on creatinine and cystatin C (eGFRcr-cys) is more accurate than estimated GFR (eGFR) based on creatinine or cystatin C alone (eGFRcr or eGFRcys, respectively), but the inclusion of creatinine in eGFRcr-cys requires specification of a person's race. β2-Microglobulin (B2M) and β-trace protein (BTP) are alternative filtration markers that appear to be less influenced by race than creatinine is. STUDY DESIGN Study of diagnostic test accuracy. SETTING AND PARTICIPANTS Development in a pooled population of 7 studies with 5,017 participants with and without chronic kidney disease. External validation in a pooled population of 7 other studies with 2,245 participants. TESTS COMPARED Panel eGFR using B2M and BTP in addition to cystatin C (3-marker panel) or creatinine and cystatin C (4-marker panel) with and without age and sex or race. OUTCOMES GFR measured as the urinary clearance of iothalamate, plasma clearance of iohexol, or plasma clearance of [51Cr]EDTA. RESULTS Mean measured GFRs were 58.1 and 83.2 mL/min/1.73 m2, and the proportions of Black participants were 38.6% and 24.0%, in the development and validation populations, respectively. In development, addition of age and sex improved the performance of all equations compared with equations without age and sex, but addition of race did not further improve the performance. In validation, the 4-marker panels were more accurate than the 3-marker panels (P < 0.001). The 3-marker panel without race was more accurate than eGFRcys (percentage of estimates greater than 30% different from measured GFR [1 - P30] of 15.6% vs 17.4%; P = 0.01), and the 4-marker panel without race was as accurate as eGFRcr-cys (1 - P30 of 8.6% vs 9.4%; P = 0.2). Results were generally consistent across subgroups. LIMITATIONS No representation of participants with severe comorbid illness and from geographic areas outside of North America and Europe. CONCLUSIONS The 4-marker panel eGFR is as accurate as eGFRcr-cys without requiring specification of race. A more accurate race-free eGFR could be an important advance.
Collapse
Affiliation(s)
- Lesley A Inker
- Division of Nephrology, Tufts Medical Center; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA.
| | - Sara J Couture
- Division of Nephrology, Tufts Medical Center; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Hocine Tighiouart
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA; Tufts Medical Center; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Alison G Abraham
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Gerald J Beck
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Harold I Feldman
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA
| | - Tom Greene
- Department of Internal Medicine, University of Utah Health, Salt Lake City, UT
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland; Icelandic Heart Association, Kopavogur, Iceland
| | - Amy B Karger
- Departments of Laboratory Medicine and Pathology, University of Minnesota; Department of Medicine, Hennepin County Medical Center, Minneapolis, MN
| | - John H Eckfeldt
- Departments of Laboratory Medicine and Pathology, University of Minnesota; Department of Medicine, Hennepin County Medical Center, Minneapolis, MN
| | - Bertram L Kasiske
- University of Minnesota; Department of Medicine, Hennepin County Medical Center, Minneapolis, MN
| | - Michael Mauer
- Medicine, University of Minnesota; Department of Medicine, Hennepin County Medical Center, Minneapolis, MN
| | - Gerjan Navis
- Faculty of Medical Sciences, University Medical Center Groningen, Groningen, The Netherlands
| | - Emilio D Poggio
- Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Peter Rossing
- Steno Diabetes Center Copenhagen and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, University of California, San Francisco, CA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| |
Collapse
|
33
|
Rybicka-Kozlowska E, Andreoni K, Kozlowski T. Racial differences in renal transplantation: How do we bridge the gap? Surgery 2021; 170:333-335. [PMID: 33810852 DOI: 10.1016/j.surg.2021.02.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 12/21/2022]
Affiliation(s)
| | - Kenneth Andreoni
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL
| | - Tomasz Kozlowski
- Department of Surgery, The Oklahoma University College of Medicine, Oklahoma City, OK.
| |
Collapse
|
34
|
Schmidt IM, Waikar SS. Separate and Unequal: Race-Based Algorithms and Implications for Nephrology. J Am Soc Nephrol 2021; 32:529-533. [PMID: 33510038 PMCID: PMC7920170 DOI: 10.1681/asn.2020081175] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Insa M Schmidt
- Section of Nephrology, Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts
| | | |
Collapse
|
35
|
Abstract
Rates of many types of severe kidney disease are much higher in Black individuals than most other ethnic groups. Much of this disparity can now be attributed to genetic variants in the apoL1 (APOL1) gene found only in individuals with recent African ancestry. These variants greatly increase rates of hypertension-associated ESKD, FSGS, HIV-associated nephropathy, and other forms of nondiabetic kidney disease. We discuss the population genetics of APOL1 risk variants and the clinical spectrum of APOL1 nephropathy. We then consider clinical issues that arise for the practicing nephrologist caring for the patient who may have APOL1 kidney disease.
Collapse
Affiliation(s)
- David J Friedman
- Division of Nephrology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | | |
Collapse
|
36
|
Borrell LN, Elhawary JR, Fuentes-Afflick E, Witonsky J, Bhakta N, Wu AHB, Bibbins-Domingo K, Rodríguez-Santana JR, Lenoir MA, Gavin JR, Kittles RA, Zaitlen NA, Wilkes DS, Powe NR, Ziv E, Burchard EG. Race and Genetic Ancestry in Medicine - A Time for Reckoning with Racism. N Engl J Med 2021; 384:474-480. [PMID: 33406325 PMCID: PMC8979367 DOI: 10.1056/nejmms2029562] [Citation(s) in RCA: 367] [Impact Index Per Article: 122.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Luisa N Borrell
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Jennifer R Elhawary
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Elena Fuentes-Afflick
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Jonathan Witonsky
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Nirav Bhakta
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Alan H B Wu
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Kirsten Bibbins-Domingo
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - José R Rodríguez-Santana
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Michael A Lenoir
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - James R Gavin
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Rick A Kittles
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Noah A Zaitlen
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - David S Wilkes
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Neil R Powe
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Elad Ziv
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Esteban G Burchard
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| |
Collapse
|
37
|
Borrell LN, Elhawary JR, Fuentes-Afflick E, Witonsky J, Bhakta N, Wu AHB, Bibbins-Domingo K, Rodríguez-Santana JR, Lenoir MA, Gavin JR, Kittles RA, Zaitlen NA, Wilkes DS, Powe NR, Ziv E, Burchard EG. Race and Genetic Ancestry in Medicine - A Time for Reckoning with Racism. N Engl J Med 2021. [PMID: 33406325 DOI: 10.1056/negmms2029562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Affiliation(s)
- Luisa N Borrell
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Jennifer R Elhawary
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Elena Fuentes-Afflick
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Jonathan Witonsky
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Nirav Bhakta
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Alan H B Wu
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Kirsten Bibbins-Domingo
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - José R Rodríguez-Santana
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Michael A Lenoir
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - James R Gavin
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Rick A Kittles
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Noah A Zaitlen
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - David S Wilkes
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Neil R Powe
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Elad Ziv
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| | - Esteban G Burchard
- From the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York (L.N.B.); the Departments of Medicine (J.R.E., J.W., N.B., N.R.P., E.Z., E.G.B.), Pediatrics (E.F.-A., J.W.), Laboratory Medicine (A.H.B.W.), and Epidemiology and Biostatistics (K.B.-D.), Priscilla Chan and Mark Zuckerberg San Francisco General Hospital (K.B.-D., N.R.P.), the Division of General Internal Medicine and the Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center (E.Z.), and the Department of Bioengineering and Therapeutic Sciences (E.G.B.), University of California, San Francisco, San Francisco, Bay Area Pediatrics, Oakland (M.A.L.), the Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte (R.A.K.), and the Department of Neurogenetics, University of California, Los Angeles, Los Angeles (N.A.Z.) - all in California; the Centro de Neumología Pediátrica, San Juan, PR (J.R.R.-S.); Emory University School of Medicine, Atlanta (J.R.G.); and the School of Medicine, University of Virginia, Charlottesville (D.S.W.)
| |
Collapse
|
38
|
Ahmed S, Nutt CT, Eneanya ND, Reese PP, Sivashanker K, Morse M, Sequist T, Mendu ML. Examining the Potential Impact of Race Multiplier Utilization in Estimated Glomerular Filtration Rate Calculation on African-American Care Outcomes. J Gen Intern Med 2021; 36:464-471. [PMID: 33063202 PMCID: PMC7878608 DOI: 10.1007/s11606-020-06280-5] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 09/28/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Advancing health equity entails reducing disparities in care. African-American patients with chronic kidney disease (CKD) have poorer outcomes, including dialysis access placement and transplantation. Estimated glomerular filtration rate (eGFR) equations, which assign higher eGFR values to African-American patients, may be a mechanism for inequitable outcomes. Electronic health record-based registries enable population-based examination of care across racial groups. OBJECTIVE To examine the impact of the race multiplier for African-Americans in the CKD-EPI eGFR equation on CKD classification and care delivery. DESIGN Cross-sectional study SETTING: Two large academic medical centers and affiliated community primary care and specialty practices. PARTICIPANTS A total of 56,845 patients in the Partners HealthCare System CKD registry in June 2019, among whom 2225 (3.9%) were African-American. MEASUREMENTS Exposures included race, age, sex, comorbidities, and eGFR. Outcomes were transplant referral and dialysis access placement. RESULTS Of 2225 African-American patients, 743 (33.4%) would hypothetically be reclassified to a more severe CKD stage if the race multiplier were removed from the CKD-EPI equation. Similarly, 167 of 687 (24.3%) would be reclassified from stage 3B to stage 4. Finally, 64 of 2069 patients (3.1%) would be reassigned from eGFR > 20 ml/min/1.73 m2 to eGFR ≤ 20 ml/min/1.73 m2, meeting the criterion for accumulating kidney transplant priority. Zero of 64 African-American patients with an eGFR ≤ 20 ml/min/1.73 m2 after the race multiplier was removed were referred, evaluated, or waitlisted for kidney transplant, compared to 19.2% of African-American patients with eGFR ≤ 20 ml/min/1.73 m2 with the default CKD-EPI equation. LIMITATIONS Single healthcare system in the Northeastern United States and relatively small African-American patient cohort may limit generalizability. CONCLUSIONS Our study reveals a meaningful impact of race-adjusted eGFR on the care provided to the African-American CKD patient population.
Collapse
Affiliation(s)
- Salman Ahmed
- Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Cameron T Nutt
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Karthik Sivashanker
- Department of Diversity, Inclusion, and Experience, Brigham and Women's Hospital, Boston, MA, USA
- Department of Quality and Safety, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michelle Morse
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- EqualHealth, Tabarre, Haiti
- EqualHealth, Brookline, MA, USA
| | - Thomas Sequist
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Quality, Patient Experience and Equity, Partners HealthCare, Boston, MA, USA
| | - Mallika L Mendu
- Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Quality and Safety, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Population Health, Partners HealthCare, Boston, MA, USA
| |
Collapse
|
39
|
Brown LL, Zhang YS, Mitchell U. Black Older Adults in the Age of Biomarkers, Physical Functioning, and Genomics: Heterogeneity, Community Engagement, and Bioethics. ANNUAL REVIEW OF GERONTOLOGY & GERIATRICS 2021; 41:183-210. [PMID: 37008388 PMCID: PMC10065475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
There are persistent disparities in all-cause mortality between Blacks and Whites in the United States. Black Americans also carry the greatest burden of morbidity from different diseases of aging including heart disease, stroke, hypertension, type 2 diabetes, and certain types of cancer. Health disparities research, and particularly race/ethnic comparison studies of physical health and aging, have consistently positioned Black health in frameworks of disadvantage, suggesting that regardless of the outcome, Black people are in worse states of health and well-being relative to Whites. Yet, extensive evidence suggests that there is significant within-group variability in the aging process among Black older adults. The use of biological, physical performance, and genomic data in survey settings offer new tools and insights to interrogate heterogeneity in Black health. This chapter examines indicators of biological, physical performance, and genetic markers of aging among a national sample of Black Americans ages 54+ years with the aim of addressing two questions about heterogeneity among Black older adults: (a) How do these measures vary by age and gender among Black older adults? (b) Which indicators predict health and mortality among Black older adults? The results indicate that biological, physical performance, and genomic measures of health, generally, have more variation than simple yes or no measures of a disease, condition, or diagnosis among Black older adults, providing counternarratives to the disadvantage frameworks that dominate characterizations of Black health and aging. However, bioethical challenges limit the utility of biomarkers, physical performance, and genomics measures for Black populations.
Collapse
|
40
|
Franks CE, Scott MG. On the Basis of Race: The Utility of a Race Factor in Estimating Glomerular Filtration. J Appl Lab Med 2020; 6:155-166. [PMID: 33236055 DOI: 10.1093/jalm/jfaa128] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/07/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Glomerular filtration rate (GFR) is a measure of the combined rate of filtration of all functional nephrons in the kidney. Measurement of GFR is used in the clinic to detect, stratify, and monitor progression of kidney dysfunction, and also serves as a prognostic tool for staging chronic kidney disease (CKD). The gold standard method for measuring GFR is by plasma or urine clearance of exogenous filtration markers, but this is not feasible in routine clinical practice. The most commonly used method to assess GFR is using equations for estimated GFR (eGFR). CONTENT Addition of a race factor to eGFR equations has been recommended to optimize performance for Black individuals. Here, we review the basis of the race-based equation and assess its utility and widespread applicability. SUMMARY Although evidence supporting the performance of a race factor exists in the unique populations in which these estimation equations were derived, more studies are needed to assess the need, or lack thereof, for race factors for all ethnicities. Furthermore, ethnicity is complex and likely cannot be qualified with a 2-level descriptor.
Collapse
Affiliation(s)
- Caroline E Franks
- Division of Laboratory and Genomic Medicine, Department of Pathology & Immunology, Washington University School of Medicine, Saint Louis, MO
| | - Mitchell G Scott
- Division of Laboratory and Genomic Medicine, Department of Pathology & Immunology, Washington University School of Medicine, Saint Louis, MO
| |
Collapse
|
41
|
Braun L, Wentz A, Baker R, Richardson E, Tsai J. Racialized algorithms for kidney function: Erasing social experience. Soc Sci Med 2020; 268:113548. [PMID: 33308910 DOI: 10.1016/j.socscimed.2020.113548] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 11/07/2020] [Accepted: 11/19/2020] [Indexed: 01/01/2023]
Abstract
The rise of evidence-based medicine, medical informatics, and genomics --- together with growing enthusiasm for machine learning and other types of algorithms to standardize medical decision-making --- has lent increasing credibility to biomedical knowledge as a guide to the practice of medicine. At the same time, concern over the lack of attention to the underlying assumptions and unintended health consequences of such practices, particularly the widespread use of race-based algorithms, from the simple to the complex, has caught the attention of both physicians and social scientists. Epistemological debates over the meaning of "the social" and "the scientific" are consequential in discussions of race and racism in medicine. In this paper, we examine the socio-scientific processes by which one algorithm that "corrects" for kidney function in African Americans became central to knowledge production about chronic kidney disease (CKD). Correction factors are now used extensively and routinely in clinical laboratories and medical practices throughout the US. Drawing on close textual analysis of the biomedical literature, we use the theoretical frameworks of science and technology studies to critically analyze the initial development of the race-based algorithm, its uptake, and its normalization. We argue that race correction of kidney function is a racialized biomedical practice that contributes to the consolidation of a long-established hierarchy of difference in medicine. Consequentially, correcting for race in the assessment of kidney function masks the complexity of the lived experience of societal neglect that damages health.
Collapse
Affiliation(s)
- Lundy Braun
- Box 1904, Departments of Africana Studies, Brown University and Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI, 02912, USA.
| | - Anna Wentz
- Box G-121-3, School of Public Health, Brown University, Providence, RI, 02912, USA.
| | - Reuben Baker
- Box G, Warren Alpert Medical School of Brown University, Providence, RI, 02912, USA.
| | - Ellen Richardson
- Box G, Warren Alpert Medical School of Brown University, Providence, RI, 02912, USA.
| | - Jennifer Tsai
- Box G, Warren Alpert Medical School of Brown University, Providence, RI, 02912, USA.
| |
Collapse
|
42
|
|
43
|
Lowe M, Payton A, Verma A, Gemmell I, Worthington J, Hamilton P, Ollier W, Augustine T, Poulton K. Human leukocyte antigen associations with renal function among ethnic minorities in the United Kingdom. HLA 2020; 96:697-708. [PMID: 32985786 DOI: 10.1111/tan.14078] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 09/10/2020] [Accepted: 09/21/2020] [Indexed: 01/10/2023]
Abstract
Human leukocyte antigens (HLA) have been associated with renal function, but previous studies report contradictory findings. There has been a lack of research into how HLA affects renal function in Black, Asian and Minority Ethnic (BAME) people in the UK, despite BAME people being disproportionately affected by renal dysfunction. This study included >27 000 UK Biobank subjects of six ethnicities (>12 100 Irish, >5400 Indian, >4000 Black Caribbean, >3000 Black African, >1600 Pakistani, and >1400 Chinese) aged 39 to 73. Subjects' high-resolution HLA genotypes were imputed using HLA*IMP:02 software. Regression analysis was used to compare 108 imputed HLA alleles with two measures of estimated glomerular filtration rate (eGFR): one based on serum creatinine; one based on serum cystatin. Secondary analysis compared CKD stage 2 subjects to healthy controls. Nine imputed HLA alleles were associated with eGFR (adjusted P < .05). Six associations were based on creatinine in Black African subjects: HLA-B*53:01 (beta = -2.628, adjusted P = 4.69 × 10-4 ); C*04:01 (beta = -1.667, adjusted P = .0269); DPA1*02:01 (beta = -1.569, adjusted P = .0182); and DPA1*02:02 (beta = -1.716, adjusted P = .0251) were linked to decreased renal function, while DRB1*03:01 (beta = 3.200, adjusted P = 3.99 × 10-3 ) and DPA1*01:03 (beta = 2.276, adjusted P = 2.31 × 10-5 ) were linked to increased renal function. Two of these (HLA-B*53:01 and C*04:01) are commonly inherited together. In Irish subjects, HLA-DRB1*04:01 (beta = 1.075, adjusted P = .0138) was linked to increased eGFR (based on cystatin); in Indian subjects, HLA-DRB1*03:01 (beta = -1.72, adjusted P = 4.78 × 10-3 ) and DQB1*02:01 (beta = -1.755, adjusted P = 2.26 × 10-3 )were associated with decreased eGFR (based on cystatin). No associations were found in the other three ethnic groups. Nine HLA alleles appear to be associated with kidney function in BAME people in the UK. This could have applications for the diagnosis and treatment of renal disease and could help reduce health inequalities in the UK.
Collapse
Affiliation(s)
- Marcus Lowe
- Transplantation Laboratory, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Antony Payton
- Faculty of Biology, Medicine and Health, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Arpana Verma
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Isla Gemmell
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Judith Worthington
- Transplantation Laboratory, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK
| | - Patrick Hamilton
- Department of Renal and Pancreas Transplantation, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK
| | - William Ollier
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK.,Faculty of Science and Engineering, Centre for Bioscience, Manchester Metropolitan University, Manchester, UK
| | - Titus Augustine
- Department of Renal and Pancreas Transplantation, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Diabetes, Endocrinology and Gastroenterology, University of Manchester, Manchester, UK
| | - Kay Poulton
- Transplantation Laboratory, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| |
Collapse
|
44
|
Affiliation(s)
- Neil R Powe
- Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, University of California, San Francisco
| |
Collapse
|
45
|
Vajgel G, Lima SC, Santana DJS, Oliveira CBL, Costa DMN, Hicks PJ, Cavalcante MAGM, Langefeld CD, Valente LM, Crovella S, Kirsztajn GM, Freedman BI, Sandrin-Garcia P. Effect of a Single Apolipoprotein L1 Gene Nephropathy Variant on the Risk of Advanced Lupus Nephritis in Brazilians. J Rheumatol 2020; 47:1209-1217. [PMID: 31732553 PMCID: PMC7225043 DOI: 10.3899/jrheum.190684] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2019] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Apolipoprotein L1 gene (APOL1) G1 and G2 renal risk alleles (RRA) are associated with endstage renal disease in blacks with lupus nephritis (LN). The present study determined frequencies of APOL1 RRA in nonwhite Brazilian patients with LN and controls to assess association with renal outcomes. METHODS APOL1 RRA were genotyped in 222 healthy blood donors (controls) and 201 cases with LN from 3 outpatient clinics. Two single-nucleotide polymorphisms in the G1 (rs73885319 and rs60910145) and an indel for the G2 (rs71785313) variant were genotyped. RESULTS The frequency of APOL1 RRA in nonwhite Brazilian LN cases did not differ significantly from healthy controls, and few participants had 2 RRA. In the sample, 84.6% of LN cases and 84.2% of controls had 0 RRA, 13.4% and 15.3% had 1 RRA, and 2.0% and 0.4% had 2 RRA, respectively. LN cases with ≥ 1 APOL1 RRA had similar baseline characteristics and renal responses to treatment, yet faced higher risk for progressive chronic kidney disease (CKD) to an estimated glomerular filtration rate < 30 ml/min/1.73 m2 compared to those with 0 RRA (11.2% with 0, 29.6% with 1; 50% with 2 RRA, p = 0.005). Although glomerular lesions and activity scores on initial kidney biopsy did not differ significantly between individuals based on APOL1 genotype, chronicity scores, tubular atrophy, and interstitial fibrosis were more severe in those with ≥ 1 RRA (p = 0.011, p = 0.002, p = 0.018, respectively). CONCLUSION Although initial kidney lesions and treatment responses were similar, a single APOL1 RRA in nonwhite Brazilians with LN was associated with increased risk of advanced CKD and possibly more tubulointerstitial damage.
Collapse
Affiliation(s)
- Gisele Vajgel
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE.
| | - Suelen Cristina Lima
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Diego Jeronimo S Santana
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Camila B L Oliveira
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Denise Maria N Costa
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Pamela J Hicks
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Maria Alina G M Cavalcante
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Carl D Langefeld
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Lucila Maria Valente
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Sergio Crovella
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Gianna Mastroianni Kirsztajn
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Barry I Freedman
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| | - Paula Sandrin-Garcia
- From the Division of Nephrology, Hospital das Clinicas, Federal University of Pernambuco (UFPE); Molecular Biology Laboratory, Keizo Asami Immunopathology Laboratory (LIKA), UFPE; Division of Nephrology, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Pernambuco, Brazil; Division of Public Health Sciences, Department of Biostatistical Sciences, and Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Division of Nephrology, Department of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
- G. Vajgel, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Molecular Biology Laboratory, LIKA, UFPE; S.C. Lima, PhD, Molecular Biology Laboratory, LIKA, UFPE; D.J. Santana, UG, Molecular Biology Laboratory, LIKA, UFPE; C.B. Oliveira, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; D.M. Costa, MD, Division of Nephrology, Hospital das Clinicas, UFPE, and Division of Nephrology, IMIP; P.J. Hicks, BS, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; M.A. Cavalcante, MD, Division of Nephrology, Hospital das Clinicas, UFPE; C.D. Langefeld, PhD, Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine; L.M. Valente, MD, PhD, Division of Nephrology, Hospital das Clinicas, UFPE; S. Crovella, PhD, Molecular Biology Laboratory, LIKA, UFPE; G.M. Kirsztajn, MD, PhD, Division of Nephrology, Department of Medicine, UNIFESP; B.I. Freedman, MD, Center for Diabetes Research, and Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine; P. Sandrin-Garcia, PhD, Molecular Biology Laboratory, LIKA, UFPE
| |
Collapse
|
46
|
Santos DC, de Melo LGN, Pizarro MH, Barros BSV, Negrato CA, Porto LC, Silva DA, Drummond KRG, Muniz LH, Mattos TCL, Pinheiro AA, Mallmann F, Leal FSL, Malerbi FK, Morales PH, Gomes MB. Genomic ancestry as a risk factor for diabetic retinopathy in patients with type 1 diabetes from an admixed population: a nested case-control study in Brazil. Acta Diabetol 2020; 57:937-945. [PMID: 32125531 DOI: 10.1007/s00592-020-01498-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 02/06/2020] [Indexed: 10/24/2022]
Abstract
AIMS The influence of genetic factors on the development and progression of diabetic retinopathy is still unclear. Previous studies showed controversial results. We aimed to characterize the relationship between genomic ancestry and self-reported color/race with severe diabetic retinopathy in patients with type 1 diabetes belonging to a highly admixed population. METHODS This study was a nested case-control based on data collected from a large cross-sectional, nationwide survey conducted in clinics from all five geographic regions of Brazil. For the present study, we included 414 individuals. Cases (n = 176) were considered if they had severe non-proliferative or proliferative diabetic retinopathy, and controls (n = 238) were type 1 diabetes patients without retinopathy, matched for diabetes duration by a range of 5 years. Indirect ophthalmoscopy was performed, and individual genomic ancestry was inferred using a panel of 46 ancestry informative markers. RESULTS The backward stepwise logistic regression analysis showed that African genomic ancestry (OR 3.9, p = 0.045), HbA1c (OR 1.24, p = 0.001), glomerular filtration rate (OR 0.98, p < 0.001) and hypertension (OR 2.52, p < 0.001) were associated with severe diabetic retinopathy after adjusting for clinical and demographic data. Self-reported color/race was not statistically associated with diabetic retinopathy. CONCLUSIONS Genomic ancestry, as well as clinical variables such as hypertension, impaired glomerular filtration rate and poor diabetes control (HbA1c), was important risk factor for the development of severe diabetic retinopathy. Further studies are needed, especially in highly admixed populations, to better understand the role of genomic ancestry and possible genes that might be associated with the development and/or progression of diabetic retinopathy.
Collapse
Affiliation(s)
- Deborah Conte Santos
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
| | | | - Marcela Haas Pizarro
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | - Bianca S V Barros
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | | | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Dayse A Silva
- DNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Luiza Harcar Muniz
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | | | | | - Felipe Mallmann
- Department of Ophthalmology, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil
| | | | - Fernando Korn Malerbi
- Department of Endocrinology and Ophthalmology, Federal University of São Paulo, São Paulo, Brazil
| | | | - Marília Brito Gomes
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| |
Collapse
|
47
|
Levey AS, Titan SM, Powe NR, Coresh J, Inker LA. Kidney Disease, Race, and GFR Estimation. Clin J Am Soc Nephrol 2020; 15:1203-1212. [PMID: 32393465 PMCID: PMC7409747 DOI: 10.2215/cjn.12791019] [Citation(s) in RCA: 165] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Assessment of GFR is central to clinical practice, research, and public health. Current Kidney Disease Improving Global Outcomes guidelines recommend measurement of serum creatinine to estimate GFR as the initial step in GFR evaluation. Serum creatinine is influenced by creatinine metabolism as well as GFR; hence, all equations to estimate GFR from serum creatinine include surrogates for muscle mass, such as age, sex, race, height, or weight. The guideline-recommended equation in adults (the 2009 Chronic Kidney Disease Epidemiology Collaboration creatinine equation) includes a term for race (specified as black versus nonblack), which improves the accuracy of GFR estimation by accounting for differences in non-GFR determinants of serum creatinine by race in the study populations used to develop the equation. In that study, blacks had a 16% higher average measured GFR compared with nonblacks with the same age, sex, and serum creatinine. The reasons for this difference are only partly understood, and the use of race in GFR estimation has limitations. Some have proposed eliminating the race coefficient, but this would induce a systematic underestimation of measured GFR in blacks, with potential unintended consequences at the individual and population levels. We propose a more cautious approach that maintains and improves accuracy of GFR estimates and avoids disadvantaging any racial group. We suggest full disclosure of use of race in GFR estimation, accommodation of those who decline to identify their race, and shared decision making between health care providers and patients. We also suggest mindful use of cystatin C as a confirmatory test as well as clearance measurements. It would be preferable to avoid specification of race in GFR estimation if there was a superior, evidence-based substitute. The goal of future research should be to develop more accurate methods for GFR estimation that do not require use of race or other demographic characteristics.
Collapse
Affiliation(s)
- Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts;
| | - Silvia M Titan
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Neil R Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital and University of California, San Francisco, California; and
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| |
Collapse
|
48
|
Assari S, Cobb S, Saqib M, Bazargan M. Diminished Returns of Educational Attainment on Heart Disease among Black Americans. Open Cardiovasc Med J 2020; 14:5-12. [PMID: 32399080 DOI: 10.2174/1874192402014010005] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background Socioeconomic Status (SES) indicators, such as educational attainment, are social determinants of heart disease. Marginalization related Diminished Returns (MDRs) refer to smaller health benefits of high SES for racial and ethnic minorities compared to the majority group. It is still unknown, however, if MDRs also apply to the effects of education on heart disease. Purpose Using a nationally representative sample, we explored racial/ethnic variation in the link between educational attainment and heart disease among American adults. Methods We analyzed data (n=25,659) from a nationally representative survey of American adults in 2013. The first wave of the Population Assessment of Tobacco and Health - Adult (PATH-Adult) study was used. The independent variable was education (college graduate, high school graduate, less than a high school diploma). The dependent variable was any heart disease. Age and gender were the covariates. Race, as well as ethnicity, were the moderators. Logistic regressions were used to analyze the data. Results Individuals with higher educational attainment had lower odds of heart disease. Race and ethnicity showed statistically significant interactions with education, suggesting that the protective effect of higher education on reducing odds of heart disease was smaller for Hispanic and Black people than for non-Hispanic and White individuals. Conclusion Education reduces the risk of heart disease better among non-Hispanic Whites than for Hispanics and Blacks. Therefore, we may expect a disproportionately higher than expected risk of heart disease in Hispanics and Blacks with high educational attainment. Future research should test if the presence of high levels of environmental and behavioral risk factors contribute to the high risk of heart disease in highly educated Black and Hispanic Americans. Policymakers should not reduce health inequalities to just gaps in SES because disparities are present across SES levels, with high SES Blacks and Hispanics remaining at risk of health problems.
Collapse
Affiliation(s)
- Shervin Assari
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Sharon Cobb
- School of Nursing, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Mohammed Saqib
- Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA
| | - Mohsen Bazargan
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.,Department of Family Medicine, UCLA, Los Angeles, CA, USA
| |
Collapse
|
49
|
Haas Pizarro M, Conte Santos D, Gomes Nunes Melo L, Senger Vasconcelos Barros B, Harcar Muniz L, Porto LC, Silva DA, Bregman R, Brito Gomes M. Glomerular filtration rate estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in type 1 diabetes based on genomic ancestry. Diabetol Metab Syndr 2020; 12:71. [PMID: 32821292 PMCID: PMC7429459 DOI: 10.1186/s13098-020-00578-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/08/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Black individuals have a great risk of developing chronic kidney disease (CKD) that is associated with high morbimortality, so it is important to classify them into the correct renal function group. Some equations used to estimate glomerular filtration rate (eGFR) divide patients only into two categories: African Americans and non-African Americans. The CKD-EPI equation was tested only in African Americans, and not Black patients from other regions, and takes into consideration self-reported color-race instead of genomic ancestry (GA) to determine the use of the ethnic correction factor. So far, this equation has not been evaluated in admixed populations, such as the Brazilian, using the percentage of GA to decide to apply the correction factor. The purpose of our study was to compare, in patients with type 1 diabetes (T1D), the eGFR calculated without the use of the correction factor, with the values obtained using the correction factor in patients presenting 50% or more of African GA. METHODS This cross-sectional, multicenter study enrolled 1279 patients from all geographic regions of Brazil. The CKD-EPI equation was used and CKD was defined as eGFR < 60 ml/min. GA were inferred using a panel of 46 AIM-INDEL, afterwards patients presenting an African GA ≥ 50% were selected. RESULTS Initially, all patients with African GA ≥ 50% (n = 85) were considered as non-African Americans when calculating the eGFR and afterwards the ethnic correction factor was applied to recalculate the eGFR. CKD was present in 23 patients and 56.5% of them were redefined as having normal renal function after using the correction factor, mainly women [11 of the 13 patients (84.6%)], with GFR between 52-59.3 ml/min. CONCLUSIONS More than half of the patients in the study were reclassified to a normal renal function group, showing that GA may be an important tool to decide between the use of the ethnic correction factor in the CKD-EPI equation in a highly admixed population of patients with T1D. A large-scale study involving GA and eGFR in comparison to reference methods should be conducted to better establish whether or not the ethnic correction factor should be used in highly admixed populations.
Collapse
Affiliation(s)
- Marcela Haas Pizarro
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ CEP 20551-030 Brazil
| | - Deborah Conte Santos
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ CEP 20551-030 Brazil
| | - Laura Gomes Nunes Melo
- Department of Ophthalmology, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Bianca Senger Vasconcelos Barros
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ CEP 20551-030 Brazil
| | - Luiza Harcar Muniz
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ CEP 20551-030 Brazil
| | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ Brazil
| | - Dayse Aparecida Silva
- DNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ Brazil
| | - Rachel Bregman
- Department of Internal Medicine, Nephrology Unit, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ Brazil
| | - Marilia Brito Gomes
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ CEP 20551-030 Brazil
| |
Collapse
|
50
|
Umeukeje EM, Young BA. Genetics and ESKD Disparities in African Americans. Am J Kidney Dis 2019; 74:811-821. [PMID: 31606237 PMCID: PMC7373097 DOI: 10.1053/j.ajkd.2019.06.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 06/09/2019] [Indexed: 12/22/2022]
Abstract
African Americans have a 2- to 4-fold greater incidence of end-stage kidney disease (ESKD) than whites, which has long raised the possibility of a genetic cause for this disparity. Recent advances in genetic studies have shown a causal association of polymorphisms at the apolipoprotein L1 gene (APOL1) with the markedly increased risk for the nondiabetic component of the overall disparity in ESKD in African Americans. Although APOL1-associated kidney disease is thought to account for a substantial proportion of ESKD in African Americans, not all the increased risk for ESKD is accounted for, and a complete cataloging of disparities in genetic causes of ESKD eludes our current understanding of genetic-associated kidney disease. Genetic testing aids the screening, diagnosis, prognosis, and treatment of diseases with a genetic basis. Widespread use of genetic testing in clinical practice is limited by the small number of actionable genetic variants, limited health literacy of providers and patients, and underlying complex ethical, legal, and social issues. This perspective reviews racial and ethnic differences associated with genetic diseases and the development of ESKD in African Americans and discusses potential uncertainties associated with our current understanding of penetrance of genetically linked kidney disease and population-attributable risk percent.
Collapse
Affiliation(s)
- Ebele M Umeukeje
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN; Vanderbilt Center for Kidney Disease, Nashville, TN
| | - Bessie A Young
- Nephrology, Hospital and Specialty Medicine and Center for Innovation for Veteran-Centered and Value Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
| |
Collapse
|