Your browser doesn't support javascript.
loading
Screening tool for restrictive and obstructive ventilatory abnormalities in a population-based survey
Fernandez-Plata, Rosario; Thirion-Romero, Ireri; Martinez-Briseño, David; Franco-Marina, Francisco; Perez-Padilla, Rogelio.
Afiliação
  • Fernandez-Plata, Rosario; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Thirion-Romero, Ireri; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Investigation on Tobacco and Chronic Obstructive Pulmonary Disease. Mexico City. MX
  • Martinez-Briseño, David; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Franco-Marina, Francisco; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Perez-Padilla, Rogelio; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Investigation on Tobacco and Chronic Obstructive Pulmonary Disease. Mexico City. MX
Rev. invest. clín ; 72(6): 386-393, Nov.-Dec. 2020. tab, graf
Article em En | LILACS | ID: biblio-1289734
Biblioteca responsável: BR1.1
ABSTRACT
Abstract Background: A 6 s spirometry with an inexpensive pocket spirometer efficiently selects individuals for a diagnostic-quality spirometry for airflow limitation, but could also be useful to identify individuals with a restrictive pattern. Objectives: We evaluated an inexpensive simplified spirometer (chronic obstructive pulmonary disease [COPD]-6) as a screening tool to identify spirometric abnormalities. Methods: A population-based survey in Mexico City, with 742 participants performing pre- and post-BD spirometry and a three-maneuver 6 s spirometry (pre-BD) with a COPD-6. We evaluated forced expiratory volume in 1 s (FEV1), FEV6, and FEV1/FEV6 from the COPD-6, crude and expressed as the percentage of predicted (%P), to discriminate post-bronchodilator airflow obstruction (FEV1/forced vital capacity [FVC] <5th percentile) or restriction (FVC or FEV1 <5th percentile with normal FEV1/FVC) through receiver operating characteristics and their area under the curve (AUC). Results: FEV1%P was the best predictor to identify pre- and post-BD ventilatory abnormalities (best cutoff point 87%P, AUC 92% for restrictive pattern, 89% for obstructive pattern, and 91% for any spirometric abnormality). Deriving to clinical spirometry only those with <87%P (26% of the sample) missed only 12% of spirometric abnormalities most of the latter mild. Conclusions: An FEV1 <87%P from a pre-BD 6 s spirometry correctly identified individuals with spirometric ventilatory defects, either obstructive or restrictive.
Assuntos
Palavras-chave

Texto completo: 1 Temas: Informacoes_doencas_cronicas_degenerativas Base de dados: LILACS Assunto principal: Espirometria / Programas de Rastreamento / Doença Pulmonar Obstrutiva Crônica Idioma: En Revista: Rev. invest. clín Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Temas: Informacoes_doencas_cronicas_degenerativas Base de dados: LILACS Assunto principal: Espirometria / Programas de Rastreamento / Doença Pulmonar Obstrutiva Crônica Idioma: En Revista: Rev. invest. clín Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article