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Spirometry reference values in the Brazilian population

The aim of the present study was to provide new spirometry reference equations in a sample of the Brazilian population for the following parameters: forced vital capacity (FVC), forced expiratory volume in 1 second (FEV(1)), FEV(1)/FVC ratio, peak of expiratory flow (PEF), forced expiratory flow at...

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Detalles Bibliográficos
Autores principales: Rufino, R., Costa, C.H., Lopes, A.J., Maiworm, A.I., Maynard, K., Silva, L.M.R.A., Dias, R.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Divulgação Científica 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378453/
https://www.ncbi.nlm.nih.gov/pubmed/28273211
http://dx.doi.org/10.1590/1414-431X20175700
Descripción
Sumario:The aim of the present study was to provide new spirometry reference equations in a sample of the Brazilian population for the following parameters: forced vital capacity (FVC), forced expiratory volume in 1 second (FEV(1)), FEV(1)/FVC ratio, peak of expiratory flow (PEF), forced expiratory flow at 50% (FEF(50%))(,) 75% average vital capacity (FEF(25-75%)), and average forced expiratory flow time (FEFT). This was a prospective study using results from chest radiographs, electrocardiograms, and questionnaires to investigate the participants' respiratory symptoms, sedentarism, and comorbidities (Charlson comorbidity index). From December 2010 to July 2014, individuals were randomly selected from various locations in the state of Rio de Janeiro. All individuals were examined by a single technician in the morning at the laboratory, and performed the spirometry with the same spirometer. Spirometry values were tabulated for the creation of three equation models: linear regression, logarithmic regression, and logarithms through a method that incorporates the lambda, median, and coefficient of variation (LMS method). Initially, 7003 individuals from both genders were contacted, and 454 were recruited. The data from the new equations were compared with one Brazilian and eight international equations, resulting in a high correlation (r>0.9). The values derived from the LMS method and linear regression were very similar (P>0.5), and both could be used to acquire the reference values for Brazilian spirometry. Data derived from the equations of this study were different from the current Brazilian equation, which could be justified by the different method used.