Reference values for laboratory tests of cholesterol, glycosylated hemoglobin and creatinine of the Brazilian adult population

Célia Landmann Szwarcwald Deborah Carvalho Malta Cimar Azeredo Pereira André William Figueiredo Wanessa da Silva de Almeida Isís Eloah Machado Nydia Strachman Bacal Alanna Gomes da Silva Jarbas Barbosa da Silva Júnior Luiz Gastão Rosenfeld About the authors

ABSTRACT:

Introduction:

This article aims to estimate reference values for laboratory tests of cholesterol, glycosylated hemoglobin and creatinine for the Brazilian adult population.

Methods:

A descriptive study carried out with laboratory data from the National Health Survey (Pesquisa Nacional de Saúde - PNS). Samples of blood and urine were collected in a PNS subsample of 8,952 individuals aged 18 years old or older. To determine the reference values, exclusion criteria were applied: presence of previous diseases and outliers, defined by values outside the range estimated by the mean ± 1.96 × standard deviation. Subsequently, reference values were calculated according to gender, age group and race/skin color.

Results:

Differences in reference values according to gender were observed. Women had higher values of total cholesterol, LDL-c and HDL-c. Glycosylated hemoglobin showed similar values in relation to gender, and creatinine was higher among men. The mean reference values were higher in the elderly population, aged 60 years old or older. The mean, lower and upper limits of total cholesterol and fractions of non-white people were slightly lower. There was no difference according to race/skin color for glycosylated hemoglobin and creatinine.

Conclusion:

The establishment of national reference parameters for laboratory tests, adapted to the sociodemographic and geographic characteristics, provides relevant information for evaluation of diagnosis and treatment of chronic diseases in Brazil.

Keywords:
Reference values; Cholesterol; Glycated hemoglobin A; Creatinine; Health surveys

INTRODUCTION

Laboratory tests are important in clinical practice and promote better evidence and criteria for disease prevention, diagnosis and treatment11. Rao L. Fatores que influenciam os exames laboratoriais. In: Williamson MA, Snyder LM. Wallach - Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p.,22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
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One of the most important elements of a laboratory examination is the reference value, as it helps health professionals to interpret the results33. Horowitz GL. Reference intervals: practical aspects. EJIFCC 2008; 19(2): 95-105., however research based on reference values is rarely specified by the laboratories44. Tsang CW, Lazarus R, Smith W, Mitchell P, Koutts J, Burnett L. Hematological indices in an older population sample: derivation of healthy reference values. Clin Chem 1998; 44(1): 96-101.,55. Bain BJ. Blood cells: a practical guide. 6ª ed. Oxford: Wiley Blackwell; 2015.,66. Lewis MS. Reference ranges and normal values. In: Lewis SM, Bain BJ, Bates I, editores. Dacie and Lewis Practical Haematology. 10ª ed. Filadélfia: Churchill Levingstone; 2006. p. 11-24.,77. Giorno R, Clifford JH, Beverly S, Rossing RG. Hematology reference values. Analysis by different statistical technics and variations with age and sex. Am J Clin Pathol 1980; 74(6): 765-70. https://doi.org/10.1093/ajcp/74.6.765
https://doi.org/10.1093/ajcp/74.6.765...
. In addition, they typically adopt the values provided by the exam manufacturers and do not verify applicability to their customers33. Horowitz GL. Reference intervals: practical aspects. EJIFCC 2008; 19(2): 95-105..

When establishing reference ranges for any parameter, some characteristics must be considered: age, gender, race, environmental factors, nutritional status, degree of physical activity, menstrual cycle period, medication use and existence of chronic disease88. Almeida AS, Faleiros ACG, Teixeira DNS, Cota UA, Chica JEL. Valores de referência de parâmetros bioquímicos no sangue de duas linhagens de camundongos. J Bras Patol Med Lab 2008; 44(6): 429-32. http://dx.doi.org/10.1590/S1676-24442008000600006
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, and on the other hand, taking into account variations in sample collection, handling and laboratory measurement error99. Solberg HE. Approved recommendation (1986) on the theory of reference values. Part 1. The concept of reference values. Clin Chim Acta 1987; 165(1): 111-8. https://doi.org/10.1016/0009-8981(87)90224-5
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In order to estimate the reference values, studies are performed based on a random sample of individuals from a given population through statistical modeling44. Tsang CW, Lazarus R, Smith W, Mitchell P, Koutts J, Burnett L. Hematological indices in an older population sample: derivation of healthy reference values. Clin Chem 1998; 44(1): 96-101., and cross-sectional or longitudinal studies are often used. Such studies are predominantly performed in developed countries and their values are used as a global reference standard11. Rao L. Fatores que influenciam os exames laboratoriais. In: Williamson MA, Snyder LM. Wallach - Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p.,1010. Colantonio DA, Kyriakopoulou L, Chan MK, Daly CH, Brinc D, Venner AA, et al. Closing the gaps in pediatric laboratory reference intervals: a CALIPER database of 40 biochemical markers in a healthy and multiethnic population of children. Clin Chem 2012; 58(5): 854-68. https://doi.org/10.1373/clinchem.2011.177741
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,1111. Bevilacqua V, Chan MK, Chen Y, Armbruster D, Schodin B, Adeli K. Pediatric population reference value distributions for cancer biomarkers and covariate-stratified reference intervals in the CALIPER cohort. Clin Chem 2014; 60(12): 1532-42. https://doi.org/10.1373/clinchem.2014.229799
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,1212. Konforte D, Shea JL, Kyriakopoulou L, Colantonio D, Cohen AH, Shaw J, et al. Complex biological pattern of fertility hormones in children and adolescents: a study of healthy children from the CALIPER cohort and establishment of pediatric reference intervals. Clin Chem 2013; 59(8): 1215-27. https://doi.org/10.1373/clinchem.2013.204123
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. For example, The Canadian Health Measures Survey22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
, collected more than 40 biomarkers in children, adults and the elderly in Canada and has become a benchmark for biochemical tests for Canadian and global populations, however these studies may not correspond to other countries, due to the different population characteristics.

Determining laboratory test reference values is a major challenge because it requires adequate methodology, which includes a representative sample of the population and care in the collection, processing, transport, and biochemical and statistical analyzes11. Rao L. Fatores que influenciam os exames laboratoriais. In: Williamson MA, Snyder LM. Wallach - Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p.. Therefore, the estimation of specific parameters for each population is not yet performed in most countries1313. Kueviakoe IM, Segbena AY, Jouault H, Vovor A, Imbert M. Hematological Reference Values for Healthy Adults in Togo. ISRN Hematology 2011; 2011(ID 736062): 1-5. http://dx.doi.org/10.5402/2011/736062
http://dx.doi.org/10.5402/2011/736062...
,1414. Tremblay M, Wolfson M, Gorber SC. Canadian Health Measures Survey: rationale, background and overview. Health Rep 2007; 18(Supl.): 7-20..

In Brazil, the reference values of other countries are still employed, which may cause interpretations that are not always reliable, since the Brazilian population is characterized by the miscegenation of a diversity of races, ethnicities, people, social and economic segments. It is therefore very important to obtain their own reference values. By conducting research on laboratory tests in a subsample of previously interviewed adult individuals in the National Health Survey (PNS) in 2014 and 2015, it was possible to obtain the first national reference values of the Brazilian adult population.

The aim of this study was to describe reference values for laboratory tests of cholesterol, glycosylated hemoglobin and creatinine in the Brazilian adult population based on the results of the PNS.

METHODS

This was a descriptive study using data from the PNS laboratory tests between 2014 and 2015. The PNS is a nationwide home-based study that uses three-stage probabilistic samples. Primary sampling units (PSUs) were the census tracts (or set of sectors). In each PSU, 10 to 14 households were randomly selected, and in each household, a resident aged 18 years or older was chosen. The PNS was performed in 69,954 households and 60,202 adult individuals, selected in each household with equal probability, were interviewed1515. Souza Júnior PRB, Freitas MPS, Antonaci GA, Szwarcwald CL. Desenho da amostra da Pesquisa Nacional de Saúde 2013. Epidemiol Serv Saúde 2015; 24(2): 207-16. http://dx.doi.org/10.5123/S1679-49742015000200003
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The selection of the subsample for the collection of biological material occurred in 25% of the census tracts, chosen with probability proportional to the size, which was measured by the inverse of the minimum distance between a small municipality and a large population municipality, obeying the stratification of the PNS sample. Assuming the non-response rate of 20%, the expected number of individuals with laboratory data was approximately 12,000, however laboratory tests were performed in a sample of 8,952 individuals, with a greater than expected loss. Among the limitations, the following stand out: the difficulty of locating the address by the hired laboratory; the refusal of the selected resident to collect biological material; the long time between the application of the questionnaire and the visit of the laboratory agent; the operational difficulties of transporting biological material, in addition to the nature of this study, which requires more from the participant and, admittedly, has a high refusal rate1616. Brasil. Ministério da Saúde. Pesquisa Nacional de Saúde. Nota Técnica - Dados dos exames laboratoriais da Pesquisa Nacional de Saúde - PNS. Brasil: Ministério da Saúde; 2018..

Given that the non-response rates were different according to the PNS strata, it was necessary to use a post-stratification procedure based on the total PND sample. Post-stratification weights were estimated according to gender, age, education level, race/skin color and geographic macroregion, based on the data of the residents selected for the individual interviews in the initial phase of the PNS. Despite the losses, the subsample of more than eight thousand people made it possible to find reference values for several biological markers for the first time in Brazil.

The research participants signed the informed consent form, received explanations about the collection of peripheral blood and urine and were instructed on how to receive the report containing the test results. Samples were collected at any time of the day, using ethylenediamine tetra acetic acid (EDTA) tubes and serum gel tubes. Samples were evaluated by automated cell analyzer. Full details of the exam collection procedure are available in the sample collection and submission procedures manual1717. Brasil. Ministério da Saúde. Pesquisa Nacional de Saúde. Manual de Procedimentos de Coleta e Envio de Amostras - Pesquisa Nacional de Saúde [Internet]. Brasil: Ministério da Saúde ; 2013 [acessado em 21 jan. 2018]. Disponível em: Disponível em: https://www.pns.icict.fiocruz.br/arquivos/Material%20Informativo/Manual%20de%20Coleta%20Laboratorial.pdf
https://www.pns.icict.fiocruz.br/arquivo...
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Total cholesterol, low density lipoprotein (LDL) and high density lipoprotein (HDL) were collected in a gel tube. Waiting 30 minutes for the clot to retract and then centrifuging was performed. The sample was sent refrigerated between 2 and 8ºC, with temperature control in the various stages. These parameters were measured by automated enzymatic/colorimetric method. Glycosylated hemoglobin was collected in an EDTA tube and dosed by high performance liquid ion exchange chromatography (HPLC). Then, creatinine was collected in a gel tube and was dosed by the Jaffé method without deproteinization.

In order to determine the reference values, individuals who did not have test result information, those with a reported diagnosis of certain diseases and pregnant women were initially excluded, since the results of laboratory tests of these persons could affect national reference values. Considering the questions of the PNS regarding pregnancy status and concerning the diagnosis of chronic noncommunicable diseases, cited in parentheses, the exclusion criteria applied were:

  1. Total cholesterol, LDL-c and HDL-c: exclusion of pregnancy (P005), heart disease (Q063), diabetes (Q030), stroke (Q068), and estimated glomerular filtration rate (GFR) <60 mL / min / 1.73 m2 (1,521 cases for total cholesterol, 1,538 cases for HDL-c and 1,520 cases for LDL-c);

  2. Glycosylated hemoglobin: exclusion of those indicating diabetes (Q030), stroke (Q068) and estimated GFR <60 mL / min / 1.73 m2 (1,191 cases);

  3. Creatinine: exclusion of those who report renal failure (Q124) and estimated GFR <60 mL / min / 1.73 m2 (665 cases).

After excluding the cases, the population sample without previous diagnosis of specific diseases was stratified according to gender (male and female), age group (18 to 59 years and 60 years or older) and race/skin color (black, brown and white). Mean, standard deviation (SD), minimum and maximum values and distribution curve were calculated for each stratum. Data from each stratum then underwent the process of removing outliers, defined as values above or below the range [mean + 1.96 SD].

After removing the outliers, a database of the population without previous diagnosis of specific diseases, stratified by sex, age group and race/skin color were obtained, allowing to estimate the reference values (mean value of the stratified distribution) and the lower limits. (average - 1.96 SD) and higher (average + 1.96SD) according to gender, age range and race / color. The analyzes were performed using the Statistical Analysis System (SAS) software.

RESULTS

Reference values were calculated for the following biochemical tests: total cholesterol, HDL-c, LDL-c, glycosylated hemoglobin and creatinine. In the example in Figure 1, the behavior of total cholesterol distribution with the normalization of values according to sex can be observed. After excluding pregnant women, individuals with heart disease, diabetes, or stroke and those with estimated GFR less than 60 mL/min/1.73 m2, the mean total cholesterol for males was 181.6. mg/dL (Figure 1A), and for females, 187.0 mg/dL (Figure 1C). By removing the outliers, the curve is flattened and the values changed: averages 178.8 mg/dL for males (Figure 1B) and 184.2 mg/dL for females (Figure 1D).

Figure 1.
Exemplification of the methodology for calculating the reference values for total cholesterol: (A) after exclusion of heart disease, diabetes and stroke (stroke) and people with glomerular filtration rate (GFR) <60 / Male: mean = 181.6 mg/dL, standard deviation (SD) = 38.5 mg/dL; minimum = 68 mg/dL; maximum = 433 mg/dL; total observations = 3,607; (B) after exclusion of outliers (mean ± 1.96 SD) / Male: mean = 178.8 mg/dL, standard deviation (SD) = 32.8 mg/dL; minimum = 107 mg/dL; maximum = 257 mg/dL; total observations = 3,468; (C) after exclusion of pregnancy, heart disease, diabetes and stroke and people with GFR <60 / Female: mean = 187.0 mg/dL, standard deviation (SD) = 37.1 mg/dL; minimum = 84 mg/dL; maximum = 379 mg/dL; total observations = 3,825; (D) after first exclusion of outliers (mean ± 1.96 SD) / Female: mean = 184.2 mg/dL, standard deviation (SD) = 32.3 mg/dL; minimum = 115 mg/dL; maximum = 259 mg/dL; total observations = 3,658.

Table 1 shows the reference values of biochemical markers for the population according to gender. Women had higher mean values than men regarding total cholesterol, HDL-c and LDL-c. The values obtained for glycosylated hemoglobin were similar, however for creatinine the values were higher for males, with a lower limit (LL) of 0.7 mg/dL and an upper limit (UL) of 1.2 mg/dL (1.0 mg/dL) than for females, who showed an LL of 0.5 mg/dL and UL of 1.0 mg/dL (average 0.8 mg/dL).

Table 1.
Reference values of biochemical markers by sex, Brazil, National Health Survey (PNS), 2014-2015.

Table 2 shows the reference values for males according to age group. Regarding total cholesterol, the LL and UL for the 18 to 59 age group were 112.5 and 241.4 mg/dL, respectively (mean 176.9 mg/dL), and for those 60 years or older, the values increased to 131.2 and 246.8 mg/dL (mean 189.0 mg/dL). As for HDL-c, the limits and mean values for the age groups were similar. Regarding LDL-c, the elderly had higher values, with LDL-c limits of 62.1 mg/dL and 156.0 mg/dL (mean 109.1 mg/dL). For glycosylated hemoglobin, LL and UL and mean values presented values close to the age groups, but slightly higher among the elderly (average of 5.3% for individuals from 18 to 59 years and 5.5% for individuals of 60 years or older). The values for creatinine were similar; the mean value was 1.0 mg/dL for both age groups analyzed, with limits of 0.7 and 1.2 mg/dL for individuals aged 18 to 59 years, and among the elderly, limits of 0.7 and 1.3 mg/dL.

Table 2.
Reference values of biochemical markers by age group and male gender, Brazil, National Health Survey (PNS), 2014-2015.

Table 3 shows the reference values of biochemical markers for females according to age group. Practically all exams showed higher average limits and values for the age group 60 years and older. For total cholesterol, the female population aged 18 to 59 years reached an average of 180.3 and 202.4 mg/dL among the elderly. HDL-c showed similar values, regardless of age group. LDL-c had an average of 100.7 mg/dL (LL = 53.3 mg/dL and UL = 148.1 mg/dL) among women aged 18 to 59 years, and in the group 60 years or older, the mean was 114.9 mg/dL (LL = 66.4 mg/dL and UL = 163.3 mg/dL). Glycosylated hemoglobin exhibited values similar to those found in the male population. Creatinine was lower among women, with an average of 0.7 mg/dL for the 18 to 59 year old group and 0.8 mg/dL for the 60 or older age group.

Table 3.
Reference values of biochemical markers by age group and female gender, Brazil, National Health Survey (PNS), 2014-2015.

For both sexes, the mean values of most tests increased in the age group of 60 years or older. The mean values and estimated limits for total cholesterol, HDL-c and LDL-c in the female population were higher than those found for the male population.

Regarding race/skin color, it was observed that the mean values and LL of total cholesterol, LDL-c and HDL-c are higher among women. Brown individuals of both sexes had the lowest reference values for most of the exams performed. The mean total cholesterol of white male subjects was 180.3 mg/dL (LL = 114.2 mg/dL and UL = 246.4 mg/dL), while the average black individuals was 179.3 mg/dL (LL = 120.3 mg / dL and UL= 238.2 mg / dL) and the brown 177.5 mg/dL (LL = 113.2 mg / dL and UL = 241.8 mg / dL ). Total cholesterol also differed by race / color for females. HDL-c among the black race/black individuals averaged 42.7 mg/dL for the male population, while black and brown individuals showed lower values. In relation to males and LDL-c, there was a decreasing gradient between whites (102.4 mg/dL), blacks (102.0 mg/dL) and browns (99.3 mg/dL), respectively, with limits varying. from 49.8 to 153.0 mg/dL. However, for females, the black race/skin color showed the lowest mean value for LDL-c (white: 104.3 mg/dL; black: 100.7 mg/dL; brown: 102.6 mg/dL), with limits ranging from 53.3 to 153.0 mg/dL. For glycosylated hemoglobin, the reference intervals indicated no differences according to gender and race/skin color. Although lower among women, there was also no differences in creatinine regarding race/ skin color (Table 4).

Table 4.
Reference values of biochemical markers, according to race / color and sex, Brazil, PNS, 2014-2015.

DISCUSSION

In the present study, national reference values for biochemical tests were calculated according to sex, age and race/skin color for total cholesterol and fractions, glycosylated hemoglobin and creatinine. Guidelines used include reference ranges that cover 95% of the population with no previous diagnosis of certain diseases, such as diabetes, stroke or kidney failure.

The results showed differences by gender, with women showing higher values than men regarding total cholesterol and HDL-c, probably related to hormonal factors and menopause due to estrogen reduction1818. Brown SA, Hutchinson R, Morrisett J, Boerwinkle E, Davis CE, Gotto AM Jr., et al. Plasma lipid, lipoprotein cholesterol, and apoprotein distributions in selected US communities. The Atherosclerosis Risk in Communities (ARIC) Study. Arterioscler Thromb 1993; 13(8): 1139-58.,1919. Subbiah MTR. Estrogen replacement therapy and cardioprotection: mechanisms and controversies. Braz J Med Biol Res 2002; 35(3): 271-6. http://dx.doi.org/10.1590/S0100-879X2002000300001
http://dx.doi.org/10.1590/S0100-879X2002...
. The mean values for LDL-c were similar. This result is noteworthy, since LDL-c has been considered the main marker and predictor of cardiac risk and should be monitored2020. Mellerio H, Alberti C, Druet C, Capelier F, Mercat I, Josserand E, et al. Novel modeling of reference values of cardiovascular risk factors in children aged 7 to 20 years. Pediatrics 2012; 129(4): e1020-9. https://doi.org/10.1542/peds.2011-0449
https://doi.org/10.1542/peds.2011-0449...
.

In 2015, The Canadian Health Measures Survey22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
, found HDL-c reference values of 31 to 70 mg/dL, a median of 46 mg/dL among men aged 15 to 79 years, and in women, values from 35 to 89 mg/dL (median 58 mg/dL).

Regarding LDL-c, a study conducted in Canada22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
showed reference limits for the 25 to 49 year age group of 62 and 189 mg/dL (median 124 mg/dL) for men and 50 to 178 mg/dL (median 104 mg/dL) for women. For the age group between 50 and 79 years, LDL-c values were the same for men and women, 73 to 189 mg/dL (median of 127 mg dL). In Brazil, although the reference values for LDL-c were estimated for different age groups from those used in the study in Canada22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
, the reference values for the total population were lower and followed the same upward trend in the older age groups.

The values presented in this article reinforce the need for further studies on therapeutic targets, especially for individuals at cardiovascular risk. According to the Brazilian Guideline for Dyslipidemias and Prevention of Atherosclerosis2121. Faludi AA, Izar MCO, Saraiva JFK, Chacra APM, Bianco HT, Afiune Neto A, et al. Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose - 2017. Arq Bras Cardiol 2017; 109(2 Supl. 1): 1-76., individuals must maintain LDL-c level <130 mg/dL to be considered low cardiovascular risk. According to the reference values found here, with critical upper limits of approximately 150 mg/dL, 13% of the population would be eligible for statin use as per current guidelines, although they are within the reference range.

The Guideline of the American College of Cardiology/American Heart Association (ACC/AHA) 2222. Nayor M, Vasan RS. Recent Update to the US Cholesterol Treatment Guidelines: A Comparison with International Guidelines. Circulation 2016; 133(18): 1795-806. https://dx.doi.org/10.1161%2FCIRCULATIONAHA.116.021407
https://dx.doi.org/10.1161%2FCIRCULATION...
, in its update, does not adopt therapeutic targets, but rather risk calculators to estimate the risk of cardiovascular complications in 10 years. Therefore, it is suggested that these results be evaluated by the Brazilian Society of Cardiology for further discussion of risk and drug treatment protocols.

Glycosylated hemoglobin is an important marker of diabetes and prediabetes2323. Imbeault P, Prins JB, Stolic M, Russell AW, O’Moore-Sullivan T, Després JP, et al. Aging per se does not influence glucose homeostasis: in vivo and in vitro evidence. Diabetes Care 2003; 26(2): 480-4. https://doi.org/10.2337/diacare.26.2.480
https://doi.org/10.2337/diacare.26.2.480...
. Based on the PNS data, no differences were found in gender or race/skin color for the Brazilian population.

In Canada22. Adeli K, Higgins V, Nieuwesteeg M, Raizman JE, Chen Y, Wong SL, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem 2015; 61(8): 1049-62. https://doi.org/10.1373/clinchem.2015.240515
https://doi.org/10.1373/clinchem.2015.24...
, creatinine values for men aged 16 to 79 years were 0.7 to 1.2 mg/dL, with a median of 0.9 mg/dL, and for women, 0.6 to 1 0.0 mg/dL, with a median 0.7 mg/dL. In Brazil, the values were similar to those found in Canada, slightly higher for men than for women, which may be due to the greater muscle mass of men.

The current study also found that creatinine has similar baseline values according to race/skin color, differing from findings in US studies that proposed changes in the calculation formula for GFR estimation by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)2424. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130(6): 461-70. https://doi.org/10.7326/0003-4819-130-6-199903160-00002
https://doi.org/10.7326/0003-4819-130-6-...
,2525. Levey AS, Stevens LA, Schmid CH, Zhang Y, Castro 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-...
among people of African descent. As with other Brazilian studies2626. Barcellos RC, Matos JP, Kang HC, Rosa ML, Lugon JR. Comparison of serum creatinine levels in different color/race categories in a Brazilian population. Cad Saúde Pública 2015; 31(7): 1565-9. http://dx.doi.org/10.1590/0102-311X00150814
http://dx.doi.org/10.1590/0102-311X00150...
that conducted cross-sectional studies of serum creatinine levels, the findings of the present study show that it is not justified to use different formulas to estimate GFR according to race/skin color. Thus, further studies are needed, especially those which compare creatinine, considering the specificities between the different race/skin color categories and among people who already have renal function impairment.

The reference values for the elderly may differ from younger people due to the aging process, as well as subclinical diseases and common comorbidities among the elderly1818. Brown SA, Hutchinson R, Morrisett J, Boerwinkle E, Davis CE, Gotto AM Jr., et al. Plasma lipid, lipoprotein cholesterol, and apoprotein distributions in selected US communities. The Atherosclerosis Risk in Communities (ARIC) Study. Arterioscler Thromb 1993; 13(8): 1139-58.. Lipid markers (total cholesterol, LDL-c and HDL-c) showed higher mean reference values among the elderly, and may reflect the adopted lifestyles, such as diet, physical inactivity and obesity11. Rao L. Fatores que influenciam os exames laboratoriais. In: Williamson MA, Snyder LM. Wallach - Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p.. Renal markers such as creatinine may increase with age due to physiological aging of the kidneys and may be due to diseases such as diabetes mellitus and hypertension2727. Bastos MG, Abreu PF. Doença renal crônica em pacientes idosos. Braz J Nephrol 2009; 31(Supl. 1): 59-65..

Among the limitations of the present study, it is mentioned that, despite the exclusion of individuals previously diagnosed with certain diseases, the population eligible for the study cannot be considered as healthy, since sick people without previous diagnosis may have been included, besides obese or drug users, which may affect the reference values. However, this study, pioneering the initiative to calculate reference values through population health survey information, will contribute to a broader discussion of the use of nationally estimated biochemical markers to monitor certain health conditions.

CONCLUSION

The PNS made it possible to carry out the first national study that establishes the benchmarks of laboratory tests adapted to the ethnic, socio-cultural, environmental, genetic characteristics and, therefore, more appropriate to the population of Brazil. In this sense, adopting standards of reference for one’s own country is an important measure in clinical practice.

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  • Financial support: Health Surveillance Secretariat, Ministry of Health (TED 147).

Publication Dates

  • Publication in this collection
    07 Oct 2019
  • Date of issue
    2019

History

  • Received
    08 Jan 2019
  • Reviewed
    11 Mar 2019
  • Accepted
    19 Mar 2019
Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br