Literature DB >> 31596373

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

Célia Landmann Szwarcwald1, Deborah Carvalho Malta2, Cimar Azeredo Pereira3, André William Figueiredo3, Wanessa da Silva de Almeida1, Isís Eloah Machado4, Nydia Strachman Bacal5, Alanna Gomes da Silva4, Jarbas Barbosa da Silva Júnior6, Luiz Gastão Rosenfeld5.   

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.

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Year:  2019        PMID: 31596373     DOI: 10.1590/1980-549720190002.supl.2

Source DB:  PubMed          Journal:  Rev Bras Epidemiol        ISSN: 1415-790X


  1 in total

1.  Primary care coverage and individual health: evidence from a likelihood model using biomarkers in Brazil.

Authors:  Fernando Antonio Slaibe Postali; Maria Dolores Montoya Diaz; Natalia Nunes Ferreira-Batista; Adriano Dutra Teixeira; Rodrigo Moreno-Serra
Journal:  BMC Health Serv Res       Date:  2021-12-04       Impact factor: 2.655

  1 in total

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