Validation of equations to estimate kidney function with and without adjustment by race/color in Brazilian adults (ELSA-Brazil)

Wagner Luis da Cruz Almeida Sandhi Maria Barreto Pedro Guatimosim Vidigal José Geraldo Mill About the authors

ABSTRACT

Objective:

To evaluate accuracy and agreement between creatinine clearance (CrCl) measured in 12-h urine and glomerular filtration rate (GFR) calculated by the Modification of Diet in Renal Disease (MDRD-4) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas, with and without adjustment for race/color.

Methods:

Baseline data from the Longitudinal Study of Adult Health (ELSA-Brazil) in adults (35-74 years of age) of both genders were used. Serum creatinine was measured in fasting blood and urinary creatinine was measured in an overnight 12-h urine collect. The agreement between CrCl and the calculated GFR was analyzed by the Bland-Altman method. One-way analysis of variance (ANOVA) with race/color factor was used to verify differences between means of CrCl and GFR with and without correction for race/color. Statistical significance was accepted for p<0.05.

Results:

From 15,105 participants in the ELSA-Brazil, 12,813 had a validated urine collect. The Bland-Altman diagrams showed that formulas and CrCl agree with each other with a better accuracy for GFR <90 mL/.min x 1.73m2. The adjustment by race/color increased data dispersion. In this range, one-way ANOVA of CrCl with race/color factor showed similarity between groups (p=0.27).

Conclusion:

MDRD-4 and CKD-EPI are useful formulas for screening cases of chronic kidney disease, and correction by race/color, only in blacks or in black and brown subjects, proved to be unnecessary and reduced the reliability of the equations.

Keywords:
Glomerular filtration rate; Chronic kidney diseases; Kidney function tests; Creatinine

INTRODUCTION

The increase in the prevalence of chronic kidney disease (CKD) in the world11 GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395(10225): 709-33. https://doi.org/10.1016/S0140-6736(20)30045-3
https://doi.org/10.1016/S0140-6736(20)30...
and Brazilian22 Marinho AWGB, Penha AP, Silva MT, Galvão TF. Prevalência de doença renal crônica em adultos no Brasil: revisão sistemática da literatura. Cad Saúde Colet 2017; 25(3): 379-88. https://doi.org/10.1590/1414-462X201700030134
https://doi.org/10.1590/1414-462X2017000...
populations has motivated the development of accessible methods for its screening. The loss of kidney function in CKD is irreversible, making early detection essential to accelerate treatment initiation and delay the loss of remaining nephronic mass33 Kidney Disease. Improving Global Outcomes. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. KDIGO 2013; 3(1): 1-150..

The most accessible laboratory indicator for diagnosing CKD is the glomerular filtration rate (GFR), which expresses the estimated number of functional nephrons44 Rahn KH, Heidenreich S, Brückner D. How to assess glomerular function and damage in humans. J Hypertens 1999; 17(3): 309-17. https://doi.org/10.1097/00004872-199917030-00002
https://doi.org/10.1097/00004872-1999170...
. Advancingage leads to a decrease of approximately 6% in renal filtering capacity per decade of life. This loss can be accelerated by chronic diseases, such as high blood pressure and diabetes mellitus55 Kanzaki G, Tsuboi N, Shimizu A, Yokoo T. Human nephron number, hypertension, and renal pathology. Anat Rec (Hoboken) 2020; 303(10): 2537-43. https://doi.org/10.1002/ar.24302
https://doi.org/10.1002/ar.24302...
. Currently, adults with persistent GFR below 60 mL/min/1.73 m2 are considered to have CKD66 Vidal-Petiot E, Flamant M. Measurement and estimation of glomerular filtration rate. Néphrol Ther 2017; 13(7): 560-8. https://doi.org/10.1016/j.nephro.2017.10.001
https://doi.org/10.1016/j.nephro.2017.10...
,77 KDOQI clinical practice guidelines and clinical practice recommendations for diabetes and chronic kidney disease. Am J Kidney Dis 2007; 49(Supl 2): S12-154. https://doi.org/10.1053/j.ajkd.2006.12.005
https://doi.org/10.1053/j.ajkd.2006.12.0...
.

Several exogenous and potentially toxic markers have been tested to measure GFR, such as inulin88 Smith HW. The reliability of inulin as a filtration marker. In: Smith HW. The kidney: structure and function in health and disease. Oxford: Oxford University Press; 1951. p. 231-8.. However, the high cost and risks of the procedure invalidate its use in the clinical context99 Salgado JV, Neves FA, Bastos MG, França AK, Brito DJ, Santos EM, et al. Monitoring renal function: measured and estimated glomerular filtration rates - a review. Braz J Med Biol Res 2010; 43(6): 528-36. https://doi.org/10.1590/s0100-879x2010007500040
https://doi.org/10.1590/s0100-879x201000...
. Efforts have been made to search for endogenous markers of GFR, with safe detection and low cost1010 Horio M. Assessment of renal function – up-to-date. Clinic All-Round 2006; 55: 1203-8., such as serum creatinine concentration (SCr), which has been the most clinically used method for preliminary assessment of kidney function1010 Horio M. Assessment of renal function – up-to-date. Clinic All-Round 2006; 55: 1203-8..

Although creatinine is detected by an accessible method1111 Delanghe JR, Speeckaert MM. Creatinine determination according to Jaffe – what does it stand for? NDT Plus 2011; 4(2): 83-6. https://doi.org/10.1093/ndtplus/sfq211
https://doi.org/10.1093/ndtplus/sfq211...
, its serum concentration is affected by muscular and hepatic metabolism, making the simple association between SCr and kidney function inadequate. Even considering the tubular secretion of the metabolite1212 Suchy-Dicey AM, Laha T, Hoofnagle A, Newitt R, Sirich TL, Meyer TW, et al. Tubular aecretion in CKD. J Am Soc Nephrol 2016; 27(7): 2148-55. https://doi.org/10.1681/ASN.2014121193
https://doi.org/10.1681/ASN.2014121193...
, endogenous creatinine clearance (CrCl) has been commonly used to measure GFR1313 Shabaz H, Gupta M. Creatinine clearance. Treasure Island: StatPearls Publishing; 2020.. To quantify CrCl, in addition to serum and urine creatinine data, it is necessary to measure the urinary flow obtained by the volume produced in a known time interval1313 Shabaz H, Gupta M. Creatinine clearance. Treasure Island: StatPearls Publishing; 2020..

Despite the frequent use of 24 hours (24 h) as a standard for collecting total urinary volume, reducing the influence of the punctual variability of SCr in the period1414 Côté AM, Firoz T, Mattman A, Lam EM, von Dadelszen P, Magee LA. The 24-hour urine collection: gold standard or historical practice? Am J Obstet Gynecol 2008; 199(6): 625.e1-625.e6. https://doi.org/10.1016/j.ajog.2008.06.009
https://doi.org/10.1016/j.ajog.2008.06.0...
, it has already been demonstrated in the literature that collection in 12 hours (12 h) is equally effective1515 Silva ABT, Molina MDCB, Rodrigues SL, Pimentel EB, Baldo MP, Mill JG. Correlação entre a depuração plasmática de creatinina utilizando urina coletada durante 24 horas e 12 horas. Braz J Nephrol 2010; 32(2): 2148-55. https://doi.org/10.1590/S0101-28002010000200005
https://doi.org/10.1590/S0101-2800201000...
. On the other hand, long collection periods cause considerable inconvenience for patients, in addition to more frequent urinary losses, compromising the validity of the measurement1616 Jędrusik P, Symonides B, Gaciong Z. Estimation of 24-hour urinary sodium, potassium, and creatinine excretion in patients with hypertension: can spot urine measurements replace 24-hour urine collection? Pol Arch Intern Med 2019; 129(7-8): 506-15. https://doi.org/10.20452/pamw.14872
https://doi.org/10.20452/pamw.14872...
.

To mitigate these problems, several equations were developed to estimate GFR using SCr, associated with other easily obtainable variables, such as gender, height, age, weight, and race/color1717 Musso CG, Álvares-Gregori J, Jauregui J, Macías-Núñez JF. Glomerular filtration rate equations: a comprehensive review. Int Urol Nephrol 2016; 48(7): 1105-10. https://doi.org/10.1007/s11255-016-1276-1
https://doi.org/10.1007/s11255-016-1276-...
. Among these equations, two are widely used in Brazil1818 Bastos MG, Kirsztajn GM. Doença renal crônica: importância do diagnóstico precoce, encaminhamento imediato e abordagem interdisciplinar estruturada para melhora do desfecho em pacientes ainda não submetidos à diálise. Braz J Nephrol 2011; 33(1): 93-108. https://doi.org/10.1590/S0101-28002011000100013
https://doi.org/10.1590/S0101-2800201100...
,1919 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Especializada e Temática. Diretrizes clínicas para o cuidado ao paciente com Doença Renal Crônica – DRC no Sistema Único de Saúde [Internet]. Brasília: Ministério da Saúde; 2014 [cited on Jul 15, 2023]. Available at https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_clinicas_cuidado_paciente_renal.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
. The Modification of Diet in Renal Disease (MDRD) was initially developed to assist in the staging of CKD in patients with partial loss of glomerular function, having been adapted for different sets of variables2020 Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006; 145(4): 247-54. https://doi.org/10.7326/0003-4819-145-4-200608150-00004
https://doi.org/10.7326/0003-4819-145-4-...
and whose MDRD-4 version is the most common in Brazil1818 Bastos MG, Kirsztajn GM. Doença renal crônica: importância do diagnóstico precoce, encaminhamento imediato e abordagem interdisciplinar estruturada para melhora do desfecho em pacientes ainda não submetidos à diálise. Braz J Nephrol 2011; 33(1): 93-108. https://doi.org/10.1590/S0101-28002011000100013
https://doi.org/10.1590/S0101-2800201100...
,1919 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Especializada e Temática. Diretrizes clínicas para o cuidado ao paciente com Doença Renal Crônica – DRC no Sistema Único de Saúde [Internet]. Brasília: Ministério da Saúde; 2014 [cited on Jul 15, 2023]. Available at https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_clinicas_cuidado_paciente_renal.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
, defined by:

GFR=175×SCr1.154×age0.203×1.212 (only in blacks)×0.742 (only in females)

The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) was tested primarily in homogeneous population groups2121 Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro 3rd AF, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150(9): 604-12. https://doi.org/10.7326/0003-4819-150-9-200905050-00006
https://doi.org/10.7326/0003-4819-150-9-...
, with greater accuracy in healthy individuals, expressed by2121 Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro 3rd AF, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150(9): 604-12. https://doi.org/10.7326/0003-4819-150-9-200905050-00006
https://doi.org/10.7326/0003-4819-150-9-...
:

Males:GFR=C×(SCr/0.9)α×0.993age

Where:

C=141, except in blacks, where C=163; and

α=-0.411, for SCr <0.9 mg/dL, or α=-1.209, for SCr ≥0.9 mg/dL.

Females:GFR=C×(SCr/0.7)α×0.993age

Where:

C=144, except in blacks, where C=166; and

α=-0.329, for SCr <0.7 mg/dL, or α=-1.209, for SCr ≥0.7 mg/dL.

In addition to SCr, the formulas only use gender, age, and race/color as adjustment variables and are recommended by the Brazilian Society of Nephrology1818 Bastos MG, Kirsztajn GM. Doença renal crônica: importância do diagnóstico precoce, encaminhamento imediato e abordagem interdisciplinar estruturada para melhora do desfecho em pacientes ainda não submetidos à diálise. Braz J Nephrol 2011; 33(1): 93-108. https://doi.org/10.1590/S0101-28002011000100013
https://doi.org/10.1590/S0101-2800201100...
,1919 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Especializada e Temática. Diretrizes clínicas para o cuidado ao paciente com Doença Renal Crônica – DRC no Sistema Único de Saúde [Internet]. Brasília: Ministério da Saúde; 2014 [cited on Jul 15, 2023]. Available at https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_clinicas_cuidado_paciente_renal.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
.

Despite the widespread use of MDRD-4 and CKD-EPI in the general population1818 Bastos MG, Kirsztajn GM. Doença renal crônica: importância do diagnóstico precoce, encaminhamento imediato e abordagem interdisciplinar estruturada para melhora do desfecho em pacientes ainda não submetidos à diálise. Braz J Nephrol 2011; 33(1): 93-108. https://doi.org/10.1590/S0101-28002011000100013
https://doi.org/10.1590/S0101-2800201100...
,1919 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Especializada e Temática. Diretrizes clínicas para o cuidado ao paciente com Doença Renal Crônica – DRC no Sistema Único de Saúde [Internet]. Brasília: Ministério da Saúde; 2014 [cited on Jul 15, 2023]. Available at https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_clinicas_cuidado_paciente_renal.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
,2222 Malta DC, Machado IE, Pereira CA, Figueiredo AW, Aguiar LK, Almeida WS, et al. Avaliação da função renal na população adulta brasileira, segundo critérios laboratoriais da Pesquisa Nacional de Saúde. Rev Bras Epidemiol 2019; 22(Suppl 2): E190010. https://doi.org/10.1590/1980-549720190010.supl.2
https://doi.org/10.1590/1980-54972019001...
, there are no rigorous studies in a robust sample of the Brazilian population comparing the GFR measured by CrCl to the GFR estimated by these equations (GFRMDRD and GFRCKD-EPI). Furthermore, both equations employ a race/color correction multiplier that has been the subject of criticism, especially in countries with highly mixed populations, such as Brazil.

The objective of this work was to verify the accuracy of MDRD-4 and CKD-EPI equations in estimating GFR in a robust sample of the Brazilian population through agreement with the CrCl calculated from 12-hour urine. Fu the more, the adequacy of the adjustment by race/color in these equations was verified, to assess their applicability in the Brazilian population.

METHODS

ELSA-Brazil: participant recruitment

In this study, data from the baseline of the Brazilian Longitudinal Study of Adult Health (Estudo Longitudinal de Saúde do Adulto – ELSA-Brazil) were used, employing sociodemographic, anthropometric, clinical, and laboratory data. ELSA-Brazil is a multicenter cohort study involving 15,105 volunteer public servants, active or retired of both genders, aged between 35 and 74 years at baseline (2008–2010)2323 Aquino EML, Araujo MJ, Almeida MCC, Conceição P, Andrade CR, Cade NV, et al. Recrutamento de participantes no Estudo Longitudinal de Saúde do Adulto. Rev Saúde Pública 2013; 47(Suppl 2): 10-8. https://doi.org/10.1590/S0034-8910.2013047003953
https://doi.org/10.1590/S0034-8910.20130...
. Recruitment was carried out at five public universities (Universidade Federal do Rio Grande do Sul — UFRGS, Universidade de São Paulo — USP-SP, Universidade Federal de Minas Gerais — UFMG, Universidade Federal do Espírito Santo — UFES, and Universidade Federal da Bahia — UFBA) and at a public research institution (Fiocruz/RJ). The sample size was based on the estimated incidence of type 2 diabetes mellitus and acute myocardial infarction in the Brazilian population2323 Aquino EML, Araujo MJ, Almeida MCC, Conceição P, Andrade CR, Cade NV, et al. Recrutamento de participantes no Estudo Longitudinal de Saúde do Adulto. Rev Saúde Pública 2013; 47(Suppl 2): 10-8. https://doi.org/10.1590/S0034-8910.2013047003953
https://doi.org/10.1590/S0034-8910.20130...
,2424 Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): objectives and design. Am J Epidem 2012, 175(4): 315-24. https://doi.org/10.1093/aje/kwr294
https://doi.org/10.1093/aje/kwr294...
. After publicity in the institutions, 76% of participants volunteered for the project and the rest were actively recruited to fill quotas and form egalitarian subgroups by gender, age range, and education, aiming to build a robust sample reflecting the demographic diversity of the Brazilian population2424 Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): objectives and design. Am J Epidem 2012, 175(4): 315-24. https://doi.org/10.1093/aje/kwr294
https://doi.org/10.1093/aje/kwr294...
. All Research Ethics Committees of the participating institutions approved ELSA-Brazil and all volunteers signed the Informed Consent2525 Aquino EML, Vasconcellos-Silva PR, Coeli CM, Araújo MJ, Santos SM, Figueiredo RC, et al. Aspectos éticos em estudos longitudinais: o caso do ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 19-26. https://doi.org/10.1590/S0034-8910.2013047003804
https://doi.org/10.1590/S0034-8910.20130...
.

At the ELSA baseline, an overnight 12-hour urinary collection was scheduled for all participants. In this article, data were analyzed after excluding participants who did not collect a urinary sample within 12 hours or whose collection was not validated according to the criteria described below.

Data collect

Sociodemographic data were collected by properly trained and certified interviewers, as previously described2626 Bensenor IM, Griep RH, Pinto KA, Faria CP, Felisbino-Mendes M, Caetano EI, et al. Rotinas de organização de exames e entrevistas no centro de investigação ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 37-47. https://doi.org/10.1590/S0034-8910.2013047003780
https://doi.org/10.1590/S0034-8910.20130...
,2727 Chor D, Alves MGM, Giatti L, Cade NV, Nunes MA, Molina MDCB, et al. Questionário do ELSA-Brasil: desafi os na elaboração de instrumento multidimensional. Rev Saude Publica 2013, 47(Supl 2): 27-36. https://doi.org/10.1590/s0034-8910.2013047003835
https://doi.org/10.1590/s0034-8910.20130...
. The race/color variable was obtained by self-declaration among the options: white, black, mixed race, Asian, Amerindian and “not declared”; the last three options were grouped in the “others” category. Some lifestyle and clinical history data (noncommunicable diseases — NCDs), collected from responses to the ELSA questionnaires, were observed in this study mainly to facilitate the understanding of any unexpected results and outliers. The variables weight, height and blood pressure were obtained according to previously published methods2828 Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA, et al. Aferições e exames clínicos realizados nos participantes do ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 54-62. https://doi.org/10.1590/S0034-8910.2013047003851
https://doi.org/10.1590/S0034-8910.20130...
.

Clinical and laboratory tests

All laboratory tests, conduct and procedures were rigorously standardized, in accordance with international standards, and were part of a set of specific ELSA-Brazil manuals. All performers were trained and certified in the study procedures and routines2626 Bensenor IM, Griep RH, Pinto KA, Faria CP, Felisbino-Mendes M, Caetano EI, et al. Rotinas de organização de exames e entrevistas no centro de investigação ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 37-47. https://doi.org/10.1590/S0034-8910.2013047003780
https://doi.org/10.1590/S0034-8910.20130...
.

Venous blood was collected by venipuncture in the forearm after fasting for 10–14 hours, with local processing to separate the serum and subsequent storage at −80°C to be sent to the ELSA Central Laboratory (Hospital Universitário da USP/SP), where analyses of creatinine, glucose, total cholesterol and fractions, triglycerides, among others were performed2929 Fedeli LG, Vidigal PG, Leite CM, Castilhos CD, Pimentel RA, Maniero VC, et al. Logística de coleta e transporte de material biológico e organização do laboratório central no ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 63-71. https://doi.org/10.1590/S0034-8910.2013047003807
https://doi.org/10.1590/S0034-8910.20130...
.

The overnight 12-hour urinary collect was carried out the day before the exams and all participants received detailed instructions about the procedure. The last elimination of urine should be done as close as possible to 7 p.m.. From that moment on, all urine produced should be collected in a sterile bottle, with a volume of 2 L, with the last collection being recommended as close as possible to 12 hours after the last urinary emptying without collection2424 Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): objectives and design. Am J Epidem 2012, 175(4): 315-24. https://doi.org/10.1093/aje/kwr294
https://doi.org/10.1093/aje/kwr294...
,2828 Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA, et al. Aferições e exames clínicos realizados nos participantes do ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 54-62. https://doi.org/10.1590/S0034-8910.2013047003851
https://doi.org/10.1590/S0034-8910.20130...
,2929 Fedeli LG, Vidigal PG, Leite CM, Castilhos CD, Pimentel RA, Maniero VC, et al. Logística de coleta e transporte de material biológico e organização do laboratório central no ELSA-Brasil. Rev Saúde Pública 2013; 47(Supl 2): 63-71. https://doi.org/10.1590/S0034-8910.2013047003807
https://doi.org/10.1590/S0034-8910.20130...
. All urine collected was delivered upon the participant's arrival at the Research Center, along with the diary containing the exact start and end times of collection. Total urinary volume was measured in a graduated cylinder with a precision of 10 mL and adjusted to 12 h by interpolation, and urinary flow was calculated by the ratio between urinary volume (mL) and collection time (min). A 5 mL aliquot was separated, frozen at −80°C, and sent to the Central Laboratory for measurement of creatinine, sodium, potassium, and albumin. Creatinine measurement was performed using the Jaffé method1111 Delanghe JR, Speeckaert MM. Creatinine determination according to Jaffe – what does it stand for? NDT Plus 2011; 4(2): 83-6. https://doi.org/10.1093/ndtplus/sfq211
https://doi.org/10.1093/ndtplus/sfq211...
.

Four criteria were used to validate the 12-hours overnight urine collection: time of collection between 10 to 14 hours, volume greater than 250 mL, no report of loss according to the diary, and creatinine excretion adjusted for 12 hours from 7.2 to 16.8 mg/kg for men and from 5.4 to 12.6 mg/kg for women3030 Forbes GB, Bruning GJ. Urinary creatinine excretion and lean body mass. Am J Clin Nutr 1976; 29(12): 1359-66. https://doi.org/10.1093/ajcn/29.12.1359
https://doi.org/10.1093/ajcn/29.12.1359...
. CrCl was calculated by multiplying the urinary flow (mL/min) by the ratio between creatinine concentrations (mg/dL) in urine and serum, with adjustment for 1.73m2 of body surface calculated using the formula by Du Bois and Du Bois3131 Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known 1916. Nutrition 1989; 5(5): 303-11; discussion 312-3. PMID: 2520314.

GFR was also calculated for each participant according to MDRD-4 and CKD-EPI equations. In order to test the accuracy of the formulas with or without adjustment for race/color, seven GFR variables were created encompassing CrCl and each of the equations:

  1. adjusted for black people only;

  2. adjusted for black and brown subjects;

  3. no adjustment.

Statistical analysis

Data were expressed as mean and standard deviation (SD) for continuous variables or as proportions and percentages in counts. Kolmogorov-Smirnov and Levene tests were used to assess normality and homogeneity of variances, respectively. Bootstrapping procedures were carried out with a thousand resamples for a confidence interval (CI) of 95%, using the Bias Correct Accelerated (BCa) method, aiming to correct any non-parametric distribution of the data3232 Haukoos JS, Lewis RJ. Advanced statistics: bootstrapping confidence intervals for statistics with “difficult” distributions. Acad Emerg Med 2005; 12(4): 360-5. https://doi.org/10.1197/j.aem.2004.11.018
https://doi.org/10.1197/j.aem.2004.11.01...
. One-way analysis of variance (ANOVA) with Welch's adjustment for the race/color factor was used in the analysis of subgroups by skin color (in view of the heterogeneity of variances and large difference in size between subgroups)3333 Field A. Discovering statistics using SPSS. Londres: SAGE; 2018.

The agreement analysis between CrCl, GFRMDRD and GFRCKD-EPI was performed using the Bland-Altman diagram3434 Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 327(8476): 307-10. PMID: 2868172. In this analysis, two methods of measuring the same variable are considered to be in agreement with each other when the differences between them are concentrated within the range of ±1.96SD in relation to the mean of the differences. This average is the central point of the agreement interval (AI), which has values of ±1.96SD as limits. Considering the GFR range that signals preliminary signs of CKD33 Kidney Disease. Improving Global Outcomes. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. KDIGO 2013; 3(1): 1-150., the data were also analyzed in the subgroup with GFR <90 mL/min/1.73m2.

The entire analysis was conducted using SPSS 20.0 software (Chicago, IL, USA), and statistical significance was set at p<0.05.

RESULTS

Of the 15,105 participants in the ELSA-Brazil baseline (2008–2010), 2,292 failed to collect urine within 12 hours or did not meet at least one of the collect validation criteria, totaling 12,813 volunteers with validated collect (Table 1 of Supplementary Material), with the majority being female (53.3%). All participants were aged 35-74 years, with a mean age of 52±9 years, with no difference between genders (p>0.05). Regarding self-reported race/color, 52.4% (n=6,714) declared themselves white; 27.4% (n=3,510), of mixed race; 15.4% (n=1,973), black; and 3.6% (n=616), others. Considering the origin of the sample, the majority of participants had a high level of education (higher education = 53.7% and complete high school = 34%). The proportion of overweight3535 World Health Organization. Global Health Observatory data repository. Overweight and obesity 2016 [Internet]. Genebra: World Health Organization; 2016 [cited on Mar 6, 2023]. Available at: https://www.who.int/gho/ncd/risk_factors/overweight/en
https://www.who.int/gho/ncd/risk_factors...
and obese3535 World Health Organization. Global Health Observatory data repository. Overweight and obesity 2016 [Internet]. Genebra: World Health Organization; 2016 [cited on Mar 6, 2023]. Available at: https://www.who.int/gho/ncd/risk_factors/overweight/en
https://www.who.int/gho/ncd/risk_factors...
participants was, respectively, 41.2 and 21.1%, and the proportion of underweight individuals was less than 1%3535 World Health Organization. Global Health Observatory data repository. Overweight and obesity 2016 [Internet]. Genebra: World Health Organization; 2016 [cited on Mar 6, 2023]. Available at: https://www.who.int/gho/ncd/risk_factors/overweight/en
https://www.who.int/gho/ncd/risk_factors...
. There were also 35.2% of hypertensive patients3636 Malachias MVB, Souza WKSB, Plavnik FL, Rodrigues CIS, Brandão AA, Neves MFT, et al. 7a Diretriz brasileira de hipertensão arterial. Arq Bras Cardiol 2016: 107(3): Supl. 3 and 19.1% of diabetics3737 American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2014; 37 Supl 1: S81-90. https://doi.org/10.2337/dc14-S081
https://doi.org/10.2337/dc14-S081...
.

The means of CrCl, GFRMDRD and GFRCKD-EPI are expressed in Table 1. In the analysis of subgroups by gender, a statistically significant difference was detected in all estimates by formulas (p<0.05), and in the case of CrCl, the Student's t-test demonstrated equality between means [t(12813)=0.58; p=0.45]. It was observed that both formulas underestimate the average CrCl; CKD-EPI has results, on average, a little closer to the reference.

Table 1
Data on glomerular filtration rate measured in 12-hour creatinine clearance and estimated by the Chronic Kidney Disease Epidemiology Collaboration and Modification of Diet in Renal Disease equations. ELSA-Brazil (2008–2010).

Evaluating all series of GFR data, there was no adherence to normality in the Kolmogorov-Smirnov test (p<0.05), nor homogeneity of variances in the Levene test. Therefore, for the analysis of subgroups by race/color, we opted for the Bootstrapping technique with a thousand resamples and use of BCa. On the other hand, these subgroups had very different sizes, and therefore, one-way ANOVA with Welch adjustment was used (Table 2).

Table 2
Welch's one-way ANOVAA and race/color factor of glomerular filtration rate measured at 12-hour creatinine clearance and estimated by Modification of Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration. ELSA-Brazil (2008–2010).

In short, the complete set of data showed no similarity between the variances of the groups by race/color, considering each modality of GFR expression (p<0.01 in all cases). Another Welch ANOVA with the same parameters and resampling was performed on a reduced sample, only with CrCl data lower than 90 mL/min/1.73m2 (n=3,896). This time, a significant similarity was observed between the groups by race/color in CrCl [Welch F(3.3893)=1.30; p=0.27]. On the other hand, the variances in the subgroups were significantly lower for GFRMDRD and GFRCKD-EPI when the adjustment for race/color was ignored, both in the full sample [(MDRD-Welch F=13.02 without adjustment (355.86 with adjustment for blacks); CKD-EPI – Welch F=11.74 without adjustment (954.19 with adjustment for blacks)] and in the reduced sample [MDRD-Welch F=13.17 without adjustment (71.38 with adjustment for blacks); CKD-EPI – Welch F=10.63 without adjustment (253.24 with adjustment for blacks)].

The agreement graphics between CrCl and GFRMDRD4 in the complete sample are presented in Figure 1 (A, B, and C), in the presence and absence of adjustment for race/color. The Bland-Altman diagrams indicate acceptable agreement between CrCl and GFRMDRD4, since approximately 95% of the differences between methods in each graphic are concentrated within the limits of agreement (±1.96SD represented in the graphic caption), with approximately 5% of outliers (n=597 without adjustments, 669 after adjustments for blacks and 671 after adjustments for blacks and browns).

Figure 1
Agreement between glomerular filtration rate measured in 12-hour urine and estimated by Modification of Diet in Renal Disease in the complete sample. ELSA-Brazil (2008-2010).

Similarly, and still in the complete sample, graphics A, B, and C in Figure 2 demonstrate agreement between CrCl and GFRCKD-EPI, with less than 5% of outliers (n=416 without adjustment, 489 after adjustment for blacks, and 538 after adjustment for blacks and browns). It should be noted that, in the case of CKD-EPI, the proportion of outliers is smaller compared to MDRD-4, with very similar AI amplitudes, suggesting a slightly greater precision of CKD-EPI. In both formulas, the graphics show that there is a proportional bias with the underestimation of GFR, but with a smaller impact on CKD-EPI, and that the adjustment for race/color increases dispersion and reduces agreement between methods. It is also observed that almost all outliers are in GFR values greater than 90 mL/min/1.73m2.

Figure 2
Agreement between glomerular filtration rate measured in 12-h urine and estimated by Chronic Kidney Disease Epidemiology Collaboration in the complete sample. ELSA-Brazil (2008–2010).

Based on this last finding, the agreement analysis between the formulas and CrCl was repeated in the subgroup with reduced GFR, that is, with CrCl <90 mL/min/1.73m2 (n=3,896, Figure 3). It was clear that, both for MDRD-4 (Figure 3A and Supplementary Figure A and B) and for CKD-EPI (Figure 3B and Supplementary Figure C and D), the use of skin color correction factors generated a visible increase in dispersion of data without, however, compromising agreement between methods. In both equations, in the AI calculated for this sample subgroup, ouliers totaled just over 4% of the data and the proportion bias of underestimation of the results of the formulas in relation to CrCl persisted. It is also notable that the differences between MDRD-4 versus CrCl and between CKD-EPI versus CrCl tended to be concentrated close to the average differences between the methods.

Figure 3
Agreement between the glomerular filtration rate measured in 12-hour urine and estimated by Modification of Diet in Renal Disease; and by Chronic Kidney Disease Epidemiology Collaboration without adjustments for skin color with creatinine clearance data <90 mL/min/1.73m2. ELSA-Brazil (2008–2010).

DISCUSSION

Bland-Altman diagrams constitute a powerful tool for comparing two different methods of measuring the same variable3838 Fredmann LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol 2015; 181(7): 473-87. https://doi.org/10.1093/aje/kwu325
https://doi.org/10.1093/aje/kwu325...
,3939 Krouwer JS, Cembrowski GS. A review of standards and statistics used to describe blood glucose monitor performance. J Diabetes Sci Technol 2010; 4(1): 75-83. https://doi.org/10.1177/193229681000400110
https://doi.org/10.1177/1932296810004001...
. In this study, the Bland-Altman analysis suggests that the formulas agree with each other, especially in CrCl values <90 mL/min/1.73m2 (borderline for the initial stages of CKD), regardless of the correction for race/color. Understanding that patient conduct and referrals are changed in clinical practice according to their classification at a given stage of CKD through GFR33 Kidney Disease. Improving Global Outcomes. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. KDIGO 2013; 3(1): 1-150.,77 KDOQI clinical practice guidelines and clinical practice recommendations for diabetes and chronic kidney disease. Am J Kidney Dis 2007; 49(Supl 2): S12-154. https://doi.org/10.1053/j.ajkd.2006.12.005
https://doi.org/10.1053/j.ajkd.2006.12.0...
, the satisfactory performance of equations in reduced GFR is essential for their use as a CKD tracking tool in the general population, especially in primary care where this investigation is normally initiated1919 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Especializada e Temática. Diretrizes clínicas para o cuidado ao paciente com Doença Renal Crônica – DRC no Sistema Único de Saúde [Internet]. Brasília: Ministério da Saúde; 2014 [cited on Jul 15, 2023]. Available at https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_clinicas_cuidado_paciente_renal.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
.

Still on the Bland-Altman diagrams, the identification of outliers indicated that they had a very low body mass index (BMI) and/or very high SCr values. However, the percentage of outliers was relatively small and mainly concentrated in the highest GFR ranges, not affecting the most important analyses. The graphics also suggest that the formulas have good validity for the subgroup with highly compromised renal function (CrCl <60 mL/min/1.73m2).

MDRD-4 and CKD-EPI were first developed and validated in populations from the Northern Hemisphere, and have been used in several countries with different ancestry patterns. In terms of body constitution, it is a fact that black individuals tend to have greater muscle mass, resulting in higher levels of SCr. In very mixed populations such as Brazil, where the prevalence of individuals with strong African ancestry (black and brown)4040 Szwarcwald CL, Malta DC, Pereira CA, Vieira MLPV, Conde WL, Souza Jr. PRB, et al. Pesquisa nacional de saúde no Brasil: concepção e metodologia de aplicação. Ciênc Saúde Coletiva 2014; 19(2): 333-42. https://doi.org/10.1590/1413-81232014192.14072012
https://doi.org/10.1590/1413-81232014192...
4242 Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010: características da população e dos domicílios – resultados do universo. Rio de Janeiro: IBGE; 2010 is high, the question regarding the adjustment of equations depending on race/color is a question of utmost importance4343 Barreto SM, Ladeira RM, Duncan BB, Schmidt MI, Lopes AA, Benseñor IM, et al. Chronic kidney disease among adult participants of the ELSA-Brasil cohort: association with race and socioeconomic position. J Epidemiol Community Health 2016; 70(4): 380-9. https://doi.org/10.1136/jech-2015-205834
https://doi.org/10.1136/jech-2015-205834...
. As seen in other works, there is already an understanding that this correction should be abolished4444 Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New creatinine- and cystatin C-based equations to estimate GFR without race. N Engl J Med 2021; 385(19): 1737-49. https://doi.org/10.1056/NEJMoa2102953
https://doi.org/10.1056/NEJMoa2102953...
. However, there is no robust study in this sense carried out in the Brazilian population in the literature, indicating that so far this recommendation is empirical, lacking the factual proof that was obtained with the present study.

Analyzing the complete sample, one-way ANOVA (with the skin color factor) of the MDRD-4 and CKD-EPI equations demonstrated that the correction for race/color in blacks increased the variance between groups, suggesting a decrease in the accuracy of the formulas, which was even more compromised when the adjustment was also applied to browns. In the subgroup with GFR below 90 mL/min/1.73m2, the same ANOVA model demonstrated statistically significant similarity between groups by race/color for CrCl, in addition to greater homogeneity of variances in the unadjusted MDRD-4 and CKD-EPI formulas, compared to the adjusted versions. In short, the use of the correction factor increased the dispersion of the data, compromising the homogeneity of variances between groups by race/color. Even considering the limitations of the photocolorimetric method for detecting creatinine1111 Delanghe JR, Speeckaert MM. Creatinine determination according to Jaffe – what does it stand for? NDT Plus 2011; 4(2): 83-6. https://doi.org/10.1093/ndtplus/sfq211
https://doi.org/10.1093/ndtplus/sfq211...
, the ANOVA on CrCl unequivocally suggests that there are no significant differences in creatinine metabolism that justify differential treatment between individuals regarding skin color.

Observing that the adjustment by race/color increases the value calculated by the formulas by around 20%, the damage to the diagnosis of CKD in black individuals becomes clear, whether due to the generation of false positives, or due to errors in the classification in a certain stage of CKD. Previously published results from ELSA-Brazil suggest the suppression of adjustments by race/color for MDRD and CKD-EPI due to the lack of evidence of the impact of this variable on Scr4343 Barreto SM, Ladeira RM, Duncan BB, Schmidt MI, Lopes AA, Benseñor IM, et al. Chronic kidney disease among adult participants of the ELSA-Brasil cohort: association with race and socioeconomic position. J Epidemiol Community Health 2016; 70(4): 380-9. https://doi.org/10.1136/jech-2015-205834
https://doi.org/10.1136/jech-2015-205834...
. Additionally, the imprecision in determining race/color (self-declaration or subjective observation by the health professional)4545 Chor D, Pereira A, Pacheco AG, Santos RV, Fonseca MJM, Schmidt MI, et al. Context-dependence of race self-classification: results from a highly mixed and unequal middle-income country. PLoS One 2019; 14(5): e0216653. https://doi.org/10.1371/journal.pone.0216653
https://doi.org/10.1371/journal.pone.021...
further increases the risk of errors in diagnosis and staging of CKD, especially among mixed-race people. Comparing the average measured and estimated GFR values and taking CrCl as a reference, it is observed that both formulas underestimate GFR; CKD-EPI is a little closer to CrCl, regardless of adjustment for skin color.

The reliability and scope of this study deserve to be highlighted. The ELSA-Brazil sample population is quite diverse, including both healthy adults and those with morbidities frequently found in the general population, such as: obesity, diabetes, hypertension, dyslipidemia, and CKD, among others2424 Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): objectives and design. Am J Epidem 2012, 175(4): 315-24. https://doi.org/10.1093/aje/kwr294
https://doi.org/10.1093/aje/kwr294...
, ensuring a sample with good similarity with the Brazilian population of the same age group22 Marinho AWGB, Penha AP, Silva MT, Galvão TF. Prevalência de doença renal crônica em adultos no Brasil: revisão sistemática da literatura. Cad Saúde Colet 2017; 25(3): 379-88. https://doi.org/10.1590/1414-462X201700030134
https://doi.org/10.1590/1414-462X2017000...
,4242 Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010: características da população e dos domicílios – resultados do universo. Rio de Janeiro: IBGE; 2010. Above all, the high methodological rigor aimed at achieving maximum quality of the data obtained stands out.

This work has some limitations. As expected in studies of this nature, problems in the 12-hour urinary collect led to a loss of around 15% of participants, the majority of them (around 60%) due to not meeting the criteria for creatinine excretion adjusted for body weight. Collection at night aimed to reduce these losses when compared to other studies with 24-hour urinary collect4646 Molina MDCB, Cunha RS, Herkenhoff FL, Mill JG. Hipertensão arterial e consumo de sal em população urbana. Rev Saúde Publica 2003; 37(6): 743-50.. It is worth noting that previous work carried out in our research group showed similarity between CrCl measured in overnight 12-hour and 24-hour urinary collect1515 Silva ABT, Molina MDCB, Rodrigues SL, Pimentel EB, Baldo MP, Mill JG. Correlação entre a depuração plasmática de creatinina utilizando urina coletada durante 24 horas e 12 horas. Braz J Nephrol 2010; 32(2): 2148-55. https://doi.org/10.1590/S0101-28002010000200005
https://doi.org/10.1590/S0101-2800201000...
. Thus, the final sample was robust enough for sub-analyses despite the losses. Furthermore, these losses did not lead to sampling bias, that is, the sociodemographic characteristics of the excluded group did not differ in relation to the group included in this analysis. Another limitation was that the race/color variable was obtained by self-declaration, whose result depends greatly on the environmental context4545 Chor D, Pereira A, Pacheco AG, Santos RV, Fonseca MJM, Schmidt MI, et al. Context-dependence of race self-classification: results from a highly mixed and unequal middle-income country. PLoS One 2019; 14(5): e0216653. https://doi.org/10.1371/journal.pone.0216653
https://doi.org/10.1371/journal.pone.021...
, which can generate distortions in a multicenter study, such as ELSA-Brasil. Ho ever, the sociodemographic characterization of the sample indicates that the proportion of distribution by race/color in the sample was similar to data from the general Brazilian population4242 Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010: características da população e dos domicílios – resultados do universo. Rio de Janeiro: IBGE; 2010.

Considering the results and limitations of this work, it may be concluded that, in the population studied, MDRD-4 and CKD-EPI equations showed good performance in estimating GFR, agreeing with CrCl, being valid for estimating glomerular filtration in the clinical context. The accuracy of the formulas for estimating CrCl was greater for glomerular filtration <90 mL/min/1.73m2, signaling its usefulness in tracking CKD in the early stages and in monitoring patients with more advanced CKD. Finally, the data strongly suggest that adjusting the equations for skin color is unnecessary, given the lack of significant difference mediated by race/color in creatinine excretion. Adjustment is also inadvisable as it increases data dispersion, which reduces the assumed accuracy of these formulas.

  • FUNDING: the ELSA-Brazil baseline was financed by the Brazilian Ministry of Health (Department of Science and Technology) and the Brazilian Ministry of Science and Technology (Financier of Studies and Projects and National Research Council of CNPq) – Process numbers by state: 01 06 0010-00 RS, 01 06 0212-00 BA, 01 06 0300-00 ES, 01 06 0278-00 MG, 01 06 0115-00 SP, 01 06 0071-00 RJ.
  • ETHICAL ASPECTS: The project was approved by the Research Ethics Committees of the participating institutions, according to the following protocols: Research Ethics Committee of the Institute of Public Health, Universidade Federal da Bahia, Salvador (BA) - protocol No. 0017.1.069.000-06027/06. Approved on 05/26/2006. Research Ethics Committee of the Oswaldo Cruz Foundation, Rio de Janeiro (RJ) - protocol No. 0058.0.011.000-07343/06. Approved on 09/18/2006. Research Ethics Committee of the School Hospital, Universidade de São Paulo, São Paulo (SP) - protocol No. 0016.1.198.000-06 669/06. Approved on 05/22/2006. Research Ethics Committee of Universidade Federal de Minas Gerais, Belo Horizonte (MG) - protocol No. 0186.1.203.000-06186/06. Approved on 06/21/2006. Research Ethics Committee of the Health Sciences Center of Universidade Federal do Espírito Santo, Vitória (ES) - approved via Resolution No. 041/06 - CEP/CCS on 05/31/2006. Research Ethics Committee of the Hospital de Clínicas of Porto Alegre, Porto Alegre (RS) - protocol No. 0017.1.069.000-06194/06. Approved on 05/15/2006.

ACKNOWLEGMENTS:

The authors thank the ELSA-Brazil team and participants for their important contributions. The study was supported by the Ministry of Health (Decit) and the Ministry of Science, Technology and Innovation (FINEP/CNPq).

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Publication Dates

  • Publication in this collection
    11 Dec 2023
  • Date of issue
    2023

History

  • Received
    12 Apr 2023
  • Reviewed
    29 July 2023
  • Accepted
    01 Aug 2023
Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br