Reference values for blood count laboratory tests in the Brazilian adult population, National Health Survey

Luiz Gastão Rosenfeld Deborah Carvalho Malta Célia Landmann Szwarcwald Nydia Strachman Bacal Maria Alice Martins Cuder Cimar Azeredo Pereira André William Figueiredo Alanna Gomes da Silva Ísis Eloah Machado Wanessa Almeida da Silva Gonzalo Vecina Neto Jarbas Barbosa da Silva JúniorAbout the authors

ABSTRACT:

Objective:

To describe reference values for blood counts obtained from laboratory tests in the Brazilian adult population according to laboratory results from the National Health Survey (Pesquisa Nacional de Saúde - PNS), by gender, age group and skin color.

Methods:

The initial sample consisted of 8,952 adults. To determine the reference values, individuals with prior diseases and outliers were excluded. Mean values, standard deviation and limits were stratified by gender, age group and skin color.

Results:

For red blood cells, men presented a mean value of 5.0 million per mm3 (limits: 4.3-5.8) and women, 4.5 million per mm3 (limits: 3.9-5.1). Hemoglobin levels were higher among men with a mean of 14.9 g/dL (13.0-16.9), and in women, 13.2 g/dL (11.5-14.9). The mean number of white blood cells among men was 6.142/mm3 (2.843-9.440) and 6.426/mm3 (2.883-9.969) for women. Other parameters showed close values between the genders. Regarding age groups and skin color, mean values, standard deviation and limits of the exams presented small variations.

Conclusion:

Hematological reference values based on the national survey allow for the establishment of specific reference limits for gender, age and skin color. The results presented here may contribute to the establishment of better evidence and criteria for the care, diagnosis and treatment of diseases.

Keywords:
Blood cell count; Leukocytes; Hematologic tests; Hemoglobin; Health surveys

INTRODUCTION

Health care should be based on scientific evidence, including appropriate parameters for biochemical testing11. 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. http://doi.org/10.1373/clinchem.2015.240515
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. Reference values are one of the most important elements of a laboratory examination, as they assist health professionals in interpreting results, care, diagnosis and treatment of diseases22. Katayev A, Balciza C, Seccombe DW. Establishing Reference Intervals for Clinical Laboratory Test Results: Is There a Better Way? Am J Clin Pathol 2010; 133(2): 180-6. https://doi.org/10.1309/AJCPN5BMTSF1CDYP
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. However, the origin of these values is rarely specified by laboratories, and these values are often used without observing if they apply to the specific population33. Horowitz GL. Reference Intervals: Practical Aspects. EJIFCC 2008; 19(2): 95-105.,44. 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. 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.,66. 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
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. Reference values may be influenced by individual, populational and ecological factors such as age, gender, race, socioeconomic status, the presence of risk factors, physiological state, geography, and exposure to chemical, physical and biological agents. Therefore, they must be different between populations77. Kueviakoe IM, Segbena AY, Jouault H, Vovor A, Imbert M. Hematological Reference Values for Healthy Adults in Togo. ISRN Hematology 2011; 2011: 1-5. http://doi.org/10.5402/2011/736062
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,99. Odhiambo C, Oyaro B, Odipo R, Otieno F, Alemnji G, Williamson J, et al. Evaluation of Locally Established Reference Intervals for Hematology and Biochemistry Parameters in Western Kenya. PLoS One 2015; 10(4): e0123140. http://doi.org/10.1371/journal.pone.0123140
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.

To estimate reference values, it is important to conduct studies based on representative population surveys for the correct interpretation of results11. 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. http://doi.org/10.1373/clinchem.2015.240515
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. These values can be obtained through cross-sectional or longitudinal studies, in which individuals are followed over time1010. Rao LV. Fatores que influenciam os exames laboratoriais. In: Williamson M, Snyder LM, editores. Wallach-Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p..

Determining laboratory test benchmarks is a major challenge because it requires proper methodology, which includes representative population sampling and methodological care in the collection, processing, and transport, and in the biochemical and statistical analyses1010. Rao LV. Fatores que influenciam os exames laboratoriais. In: Williamson M, Snyder LM, editores. Wallach-Interpretação de exames laboratoriais. 10ª ed. Rio de Janeiro: Guanabara Koogam; 2016. 1225 p.. As such, estimating specific parameters for each population is not yet a reality for some countries, being restricted to developed countries that conduct population surveys. These surveys are therefore, used as global parameters99. Odhiambo C, Oyaro B, Odipo R, Otieno F, Alemnji G, Williamson J, et al. Evaluation of Locally Established Reference Intervals for Hematology and Biochemistry Parameters in Western Kenya. PLoS One 2015; 10(4): e0123140. http://doi.org/10.1371/journal.pone.0123140
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To obtain estimates that are appropriate for their population, some countries adopt specific surveys, such as the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER)1212. 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. http://doi.org/10.1373/clinchem.2014.229799
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,1313. 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. http://doi.org/10.1373/clinchem.2013.204123
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,1414. Statistics Canada. Canadian Health Measures Survey (CHMS) data user guide: cycle 2 [Internet]. Ottawa: Statistics Canada; 2012 [acessado em 16 jan. 2018]. Disponível em: Disponível em: http://www23.statcan.gc.ca/imdb-bmdi/pub/document/5071_D2_T1_V2-eng.htm
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or the Canadian Health Measures Survey (CHMS)1414. Statistics Canada. Canadian Health Measures Survey (CHMS) data user guide: cycle 2 [Internet]. Ottawa: Statistics Canada; 2012 [acessado em 16 jan. 2018]. Disponível em: Disponível em: http://www23.statcan.gc.ca/imdb-bmdi/pub/document/5071_D2_T1_V2-eng.htm
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,1515. Tremblay M, Wolfson M, Gorber SC. Canadian Health Measures Survey: rationale, background and overview. Health Rep [Internet]. 2007 [acessado em 16 jan. 2018]; 18: 7-20. Disponível em: Disponível em: http://www.statcan.gc.ca/pub/82-003-s/2007000/article/10361-eng.pdf
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. In Australia, laboratories enrolled in the Royal College of Pathologists of Australasia Quality Assurance Program set parameters on hematology reference ranges1616. Sinclair L, Hall S, Badrick T. A survey of Australian haematology reference intervals. Pathology 2014; 46(6): 538-43. http://dx.doi.org/10.1097/PAT.0000000000000148
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In Brazil, the reference values of other countries are still used, however the National Health Survey (Pesquisa Nacional de Saúde - PNS) included the collection of biochemical blood and urine tests in its scope1717. Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional de saúde 2013: acesso e utilização dos serviços de saúde, acidentes e violências: Brasil, grandes regiões e unidades da federação [Internet]. Rio de Janeiro: IBGE; 2015 [acessado em 16 jan. 2018]. 100 p. Disponível em: Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv94074.pdf
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and thus, among other objectives obtained the first reference values for the Brazilian adult population. The establishment of specific reference values for the Brazilian population can provide important information that allows for a more reliable and adequate interpretation of laboratory test results. In addition, it avoids the use of reference values from other countries, mainly because the Brazilian population is characterized by the miscegenation of a diversity of races, ethnicities, peoples, in addition to social and economic segments.

Due to the importance of standardizing reference values, this study aimed to describe reference values for the laboratory tests showing blood counts from the Brazilian adult population according to the laboratory results from the PNS.

METHODS

The study was a descriptive, epidemiological survey, and used data from PNS laboratory exams from 2014 to 2015.

The PNS is a nationwide household-based, cross-sectional survey that uses three-stage probabilistic samples. The primary sampling units (UPAs) were the census tracts or set of tracts, the secondary units, the households, and the tertiary units, the adult residents aged 18 years or older. Details on the sampling and weighting processes are provided in the PNS publications on the results1717. Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional de saúde 2013: acesso e utilização dos serviços de saúde, acidentes e violências: Brasil, grandes regiões e unidades da federação [Internet]. Rio de Janeiro: IBGE; 2015 [acessado em 16 jan. 2018]. 100 p. Disponível em: Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv94074.pdf
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,1818. Szwarcwald CL, Malta DC, Pereira CA, Vieira MLFP, Conde WL, Souza Júnior PRB, et al. Pesquisa Nacional de Saúde no Brasil: concepção e metodologia de aplicação. Ciênc Saúde Coletiva 2014; 19(2): 333-42. http://dx.doi.org/10.1590/1413-81232014192.14072012
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.

The PNS was performed in 69,954 households and 60,202 adult individuals were interviewed. The adult individuals were selected in each household. The selection of the subsample for the laboratory was defined in 25% of the census tracts, obeying the stratification of the PNS sample. However, several factors caused a larger loss in the subsample of individuals indicated for the laboratory exams. Among these factors, the hired laboratory’s difficulty in locating the address and the selected resident’s refusal to participate in the collection of biological material stand out. Thus, the sample consisted of 8,952 people, and post-stratification weights were adopted according to gender, age, education and region. Despite the losses, the subsample allowed us to find, for the first time in Brazil, reference values for laboratory tests, including blood counts.

The research participants signed the informed consent form and were instructed on how to receive the report containing the test results. Subsequently, peripheral blood collections occurred.

Samples were collected at any time of the day, using ethylenediamine tetraacetic acid (EDTA). Samples were examined using an automated cell analyzer. Complete details regarding the exam collection procedure are available in the Sample Collection and Submission Procedures Manual1919. Szwarcwald CL, Malta DC, Azevedo C, Souza Júnior PRB, Rosenfeld LG. Exames laboratoriais da pesquisa nacional de saúde: Metodologia de amostragem, coleta, e análise dos dados. Rev Bras Epidemiol 2019. (no prelo)..

The collection and analysis of the biological material were carried out through a consortium with private laboratories. The laboratories were chosen based on the fact that they met the quality control criteria of the Ministry of Health and they complied with current rules for collection, transport and processing of biological material1212. 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. http://doi.org/10.1373/clinchem.2014.229799
http://doi.org/10.1373/clinchem.2014.229...
.

For the calculation of the reference values, women who reported being pregnant at the time of the survey, those with a diagnosis of severe medical disease or chronic diseases such as cardiovascular disease (CVD) - infarction, angina, stroke - , cancer, arthritis, and chronic kidney disease (glomerular filtration rate < 60) were excluded from the database. In the case of the reference values calculation for red cells, we also exclude people with any hemoglobinopathy.

After excluding the cases, the population base without a previous diagnosis of certain diseases was stratified according to gender (male and female), age group (18 to 59 years and 60 years or older) and race/skin color (dark-skinned black, light-skinned black, and white). For each stratum, the mean, standard deviation (SD), and minimum and maximum values were calculated. The data from each stratum then underwent the process of removing outliers, defined as values above or below the range (mean ± 1.96 SD).

After excluding the outliers, a database of the population without a previous diagnosis of certain diseases stratified by gender, age range and race/skin color was obtained, allowing for the estimation of reference values (mean value of the stratified distribution) and the lower (mean - 1.96 SD) and upper (mean + 1.96 SD) limits according to gender, age range and race/color. Analyses were performed using the Statistical Analysis System (SAS) software.

The following items were evaluated in the exams: red blood cells, hemoglobin, hematocrit, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), white blood cells, absolute neutrophils, neutrophils, absolute eosinophils, eosinophils, absolute basophils, basophils, absolute lymphocytes, lymphocytes, absolute monocytes, monocytes, platelets and platelet volume.

The PNS was approved by the National Research Ethics Commission (Comissão Nacional de Ética em Pesquisa - CONEP) of the Ministry of Health. Adult participation in the research was voluntary and confidentiality of their information was guaranteed. Subjects selected for the research provided informed consent for all of the research procedures, including interviewing and blood and urine collection.

RESULTS

The red blood cells in men averaged 5.0 million/mm3 (limits: 4.3-5.8). These values were lower for women, with an average of 4.5 million/mm3 (limits: 3.9-5.1). Hemoglobin values among men averaged 14.9 g/dL (limits: 13.0-16.9) and among women, 13.2 g/dL (limits: 11.5-14.9). Hematocrit was higher among men, with an average of 45.8% (limits: 39.7-52.0), than in women, with an average of 40.7% (limits: 35.3-46.1). The MCV in men averaged 91.2 fL (limits: 81.8-100.6) and in women, 90.6 fl (limits: 81.0-100.2). The mean MCH value in men was 29.8 pg (limits: 26.9-32.6) and in women 29.4 pg (limits: 26.3-32.4). The MCHC in men was 32.6 g/dL (limits: 30.6-34.6) and among women, 32.4 g/dL (limits: 30.5-34.3). The average RDW among men was 13.6% (limits: 12.0-15.3) and among women, 13.7% (limits: 11.9-15.5) (Table 1).

Table 1
Reference values of the hematological markers of the red blood series according to gender. National Health Survey, Brazil, 2014-2015.

For the white blood series, the average white blood cell count among men was 6,142 per mm3 (limits: 2,843-9,440) and for women, 6,426 per mm3 (limits: 2,883-9,969). Absolute neutrophil values among men averaged 3,273 per mm3 (limits: 576-5,971); and for eosinophils, the average was 258 per mm3 (limits: 0-660). For basophils, the average was 29 per mm3 (limits: 0-62); and lymphocytes showed an average of 2,045 average per mm3 (limits: 720-3,370). For monocytes, an average of 412 per mm3 was found (limits: 11-812). Absolute values among women were: for neutrophils, an average of 3,543 per mm3 (limits: 612-6,474); for eosinophils, an average of 210 per mm3 (limits: 0-550); for basophils, an average of 31 per mm3 (limits: 0-72); for lymphocytes, an average of 2,105 per mm3 (limits: 796-3,414); and for monocytes, an average of 357 per mm3 (limits: 22-692). For platelets, the average among men was 213,975 per mm3 (limits: 128,177-299,774), and for women, 239,325 platelets per mm3 (limits: 135,606-343,044). The platelet volume for men was 10.2 fL (limits: 8.-12.4), and for women, 10.3 fL (limits: 8.0-12.5) (Table 2).

Table 2.
Reference values of hematological markers of the white blood series according to gender. National Health Survey, Brazil, 2014-2015.

Concerning the red blood series and age group, the red blood cells of men in the 18-59 age group had an average value of 5.1 million (limits: 4.4-5.8 million per mm3), and in the group 60 years and older, the average was 4.8 million (limits: 4.0-5.6 million per mm3), while for women, the average was 4.5 million for both age groups (limits: 3.9-5.1 million per mm3 for younger women and 3.8-5.1 million per mm3 for older women). The other values by age are described in Table 3.

Table 3.
Reference values of hematological markers of the red blood series according to gender and age group. National Health Survey, Brazil, 2014-2015.

Regarding the white series according to age group, the mean absolute values of white blood cells in men were higher among the elderly group (average: 6,246; limits: 2,818-9,675) when compared to that of the younger group (average: 6,124; limits: 2,844-9,403). For women, the average was higher for the 18-59 age group (mean: 6,478; limits: 2,908-10,047), compared with the group aged 60 or older (average: 6,197; limits: 2,971-9,424). The average absolute platelet values for younger males was 215,301 (limits: 128,418-302,183) and for the elderly, 206,421 (limits: 128,926-283,915). For younger women, the average was 241,312 (limits: 137,881-344,744), and for women 60 years and older, 229,056 (limits: 126,639-331,474). The other results are shown in Table 4.

Table 4.
Reference values of hematological markers of the white blood series according to gender and age group. National Health Survey, Brazil, 2014-2015.

Regarding race, the average red blood cell count in the male white, light-skinned black, and dark-skinned black population was 5.0 million, with slight variations in the reference values (limits white: 4.3-5.7 million red cells per mm3; limits dark-skinned black: 4.1-5.8 million per mm3; limits light-skinned black: 4.3-5.7 million per mm3). White, dark-skinned black and light-skinned black women averaged 4.5 million red blood cells per mm3. (limits white: 3.9-5.1; dark-skinned limits dark-skinned black: 3.9-5.2; limits light-skinned black: 3.9-5.1). For white blood cells, the average absolute blood cell count in white men was 6,221 per mm3 (limits: 2,960-9,483), in dark-skinned black men, 6,016 per mm3 (limits: 3,181- 8,850) and in light-skinned black men, 6,093 per mm3 (limits: 2,681-9,506). In white women, the average was 6,608 per mm3 (limits: 3,143-10,074), dark-skinned black women, 6,165 per mm3 (limits: 2,430-9,900) and light-skinned black women 6,288 per mm3 (limits: 2,772-9,803) (Table 5).

Table 5.
Reference values of hematological markers of the red and white blood series according to gender and color/race. National Health Survey, Brazil, 2014-2015.

DISCUSSION

The PNS made it possible to carry out the first national study that establishes the parameters for laboratory reference values, based on a representative sample of the Brazilian adult population and adapted to the ethnic, sociocultural, environmental and genetic characteristics of Brazil. It allowed for reference values to be estimated, and thus helped identify the current state of health of the country’s population.

It is worth noting that, in order to reach these results, criteria were applied to exclude sick people or patients with conditions that could alter the results of the exams studied. The outliers were also removed. Therefore, reference intervals were calculated that allowed for the determination of specific limits according to gender, age, and skin color of the Brazilian population.

Knowledge of reference hematological parameters is fundamental for the evaluation of the health status and the disease pattern of populations. Concern around assessing the population’s health level through hematimetric parameters and defining normality indices emerged in Brazil in the 1930s, but current studies are essential, since the population is living in environments that contain substances capable of modifying hematological patterns. From a public health point of view, recognizing the existence of these factors and their sanitary control should be emphasized2020. Karazawa EHI, Jamra M. Parâmetros hematológicos normais. Rev Saúde Pública 1989; 23(1): 58-66. http://dx.doi.org/10.1590/S0034-89101989000100008
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.

The objectives of the blood count are to evaluate general practice and diagnose anemia, polycythemia, spinal cord aplasia, infectious processes, leukemia/leukosis, thrombocytosis, and thrombocytopenia2121. Angulo IL. Interpretação do hemograma clínica e laboratorial [Internet]. Hemocentro de Ribeirão Preto; 2018 [acessado em 18 abr. 2018]. Disponível em: Disponível em: http://www.sogab.com.br/hemograma2.pdf
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. Blood counts are one of the most widely used analyses in medical practice because their general data allow for an extensive assessment of patients’ clinical condition2222. Laboratório de Pesquisa Clínica Oswaldo Cruz. Exames Hemograma [Internet]. 2018 [acessado em 18 abr. 2018]. Disponível em: Disponível em: http://oswaldocruz.net/site/exames/
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.

Gender-specific reference ranges are essential, as the literature indicates that there are statistically significant differences between genders in hemoglobin, hematocrit, MCH, MCHC, platelets, platelet volume, and erythrocyte parameters2323. Subhashree AR, Parameaswari PJ, Shanthi B, Revathy C, Parijatham BO. The Reference Intervals for the Haematological Parameters in Healthy Adult Population of Chennai, Southern India. J Clin Diagn Res 2012; 6(10): 1675-80. http://doi.org/10.7860/JCDR/2012/4882.2630
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. Men are reported to have a higher level of red blood cells, hemoglobin, and hematocrit than women2424. Koram K, Addae M, Ocran J, Adu-Amankwah S, Rogers W, Nkrumah F. Population Based Reference Intervals for Common Blood Haematological and Biochemical Parameters in the Akuapem North District. Ghana Med J 2007; 41(4): 160-6.,2525. Menard D, Mandeng MJ, Tothy MB, Kelembho EK, Gresenguet G, Talarmin A. Immunohematological Reference Ranges for Adults from the Central African Republic. Clin Diagn Lab Immunol 2003; 10(3): 443-5. http://doi.org/10.1128/CDLI.10.3.443-445.2003
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. This difference can be influenced by factors such as androgenic hormone in erythropoiesis and blood loss during the menstrual period in women 2525. Menard D, Mandeng MJ, Tothy MB, Kelembho EK, Gresenguet G, Talarmin A. Immunohematological Reference Ranges for Adults from the Central African Republic. Clin Diagn Lab Immunol 2003; 10(3): 443-5. http://doi.org/10.1128/CDLI.10.3.443-445.2003
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,2626. Tsegaye A, Messele T, Tilahun T, Hailu E, Sahlu E, Doorly R, et al. Immunohematological Reference Ranges for Adult Ethiopians. Clin Diagn Lab Immunol 1999; 6(3): 410-14.. In contrast, women have higher platelet and white blood cell counts than men2424. Koram K, Addae M, Ocran J, Adu-Amankwah S, Rogers W, Nkrumah F. Population Based Reference Intervals for Common Blood Haematological and Biochemical Parameters in the Akuapem North District. Ghana Med J 2007; 41(4): 160-6.. For the reference values described here, the differences were partly confirmed in relation to the averages, but without any differences in the limits.

In the scientific literature, evidence has been found that age may influence hemoglobin values, resulting in lower reference values in the elderly compared with adults, which may be explained by factors of senescence itself, such as: reduction of parent reserve hematopoietic factors, hematopoietic growth factors and erythropoietin production2727. Mugisha JO, Seeley J, Kuper H. Population based haematology reference ranges for old people in rural South-West Uganda. BMC Res Notes 2016; 9(1): 433. https://doi.org/10.1186/s13104-016-2217-x
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. In the PNS, hemoglobin concentration was lower for older men and there were no differences between red blood cells according to age among women.

It is worth noting that RDW values also increased with age. The RDW is a laboratory parameter that measures the difference in size of circulating red blood cells. It is used in the differential diagnosis of hematological diseases and as an independent predictor of severity in CVD patients2828. Barbosa BM, Lueneberg ME, Silva RL, Fattah T, Bregagnollo GH, Moreira DM. Correlação entre RDW, Tamanho do Infarto e Fluxo Coronariano após Angioplastia Primária. Int J Cardiovasc Sci 2015; 28(5): 357-62. https://doi.org/10.5935/2359-4802.20150053
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, and mortality in the elderly2929. Martínez-Velilla N, Ibáñez B, Cambra K, Alonso-Renedo J. Red blood cell distribution width, multimorbidity, and the risk of death in hospitalized older patients. Age (Dordr). 2012; 34(3): 717-23. http://doi.org/10.1007/s11357-011-9254-0
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,3030. Patel KV, Ferrucci L, Ershler WB, Longo DL, Guralnik JM. Red Cell Distribution Width and the Risk of Death in Middle-aged and Older Adults. Arch Intern Med 2009; 169(5): 515-23. http://doi.org/10.1001/archinternmed.2009.11
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. The mechanism is not entirely clear, but this association depends on several factors, including inflammatory responses, anemia, nutritional status, and age-related diseases. The literature indicates that RDW values increase with age and strongly predict mortality, and it is conceivable that anisocytosis may reflect the impairment of multiple physiological systems related to the aging process and age-related diseases2929. Martínez-Velilla N, Ibáñez B, Cambra K, Alonso-Renedo J. Red blood cell distribution width, multimorbidity, and the risk of death in hospitalized older patients. Age (Dordr). 2012; 34(3): 717-23. http://doi.org/10.1007/s11357-011-9254-0
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,3030. Patel KV, Ferrucci L, Ershler WB, Longo DL, Guralnik JM. Red Cell Distribution Width and the Risk of Death in Middle-aged and Older Adults. Arch Intern Med 2009; 169(5): 515-23. http://doi.org/10.1001/archinternmed.2009.11
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. It is important to highlight that, among women, no differences were observed between adult and elderly women for RDW, with a small increase in men, as shown in the PNS.

It is worth pointing out that racial/ethnic differences in relation to the reference values of various laboratory tests have been recognized and documented, especially between dark-skinned black and white people. The literature describes that, in comparison with whites, dark-skinned black people present significantly higher platelet, hematocrit, MCH and hemoglobin values3131. Bain BJ. Ethnic and sex differences in the total and differential white cell count and platelet count. J Clin Pathol 1996; 49(8): 664-6. https://dx.doi.org/10.1136%2Fjcp.49.8.664
https://dx.doi.org/10.1136%2Fjcp.49.8.66...
, while total leukocytes and neutrophils counts are lower. The PNS did not find differences according to race/color for the red series and found a slight reduction in the mean values between dark-skinned blacks and light-skinned blacks in the white series. It is important to verify natural variations in the distribution of laboratory test results between racial/ethnic groups3232. Lim E, Miyamura J, Chen JJ. Racial/Ethnic-Specific Reference Intervals for Common Laboratory Tests: A Comparison among Asians, Blacks, Hispanics, and White. Hawaii J Med Public Health 2015; 74(9): 302-10..

Among the limits of the study, first, the sample losses stand out, however the post-stratification weights adopted allowed for estimations to be made with 95% certainty, reducing possible biases. Second, the methodology adopted in this paper is based on sample distributions, which is useful for the definition of reference values, however, in cases where it is necessary to identify people at higher risk of disease or requiring treatment, clinical practice should define the appropriate procedures. Exclusion criteria from the sample were self-reported, and therefore, people with diseases not known by the participants may have been included in the survey, which possibly affected the results, however the exclusion of outliers reduces this bias, removing the extreme values.

In the analysis, according to race/skin color, other racial groups (indigenous people, Asians) were excluded due to the small sample size. In addition, the sample for dark-skinned black people was about 600 participants. It is also noted that skin color was self-reported for all participants, and there may be differences between the stated and the observed skin color.

This is the first study on laboratory reference intervals of the PNS. Therefore, it is important to highlight that, in the literature, there are studies that applied other methodologies by calculating the median, not the average, in addition to other techniques to exclude outliers11. 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. http://doi.org/10.1373/clinchem.2015.240515
http://doi.org/10.1373/clinchem.2015.240...
.

Therefore, further studies are recommended in the future using the PNS laboratory database, applying different techniques and including the analysis of the difference in reference ranges according to gender, age group and race/color. It is also worth noting that the biochemical methods employed in the laboratory analysis may vary according to the manufacturer, and thus change the values found here.

CONCLUSION

Specific hematological reference values for the Brazilian population were not available, which could result in unreliable clinical interpretations, mainly because Brazil is a developing country, with distinct population groups regarding genetics, dietary patterns and environmental factors. Determining gender-, age-, and skin-specific reference values is also essential, as there are differences between the parameters of these groups.

The PNS laboratory study provided specific reference values by gender, age and race, which are representative of the Brazilian adult population. They can be used to improve clinical practice, promote better evidence and criteria for care, diagnosis, treatment, and disease control.

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  • Financial support: Health Surveillance Secretariat, Ministry of Health (TED 147-2018).

Publication Dates

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

History

  • Received
    22 Dec 2018
  • Reviewed
    14 Mar 2019
  • Accepted
    22 Mar 2019
Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br