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Efficient screening for COPD using three steps: a cross-sectional study in Mexico City

BACKGROUND: Underdiagnosis of chronic obstructive pulmonary disease (COPD) in primary care can be improved by a more efficient screening strategy. AIMS: To evaluate a three-step method of screening for COPD consisting of an initial short questionnaire followed by measurement of forced expiratory vol...

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Detalles Bibliográficos
Autores principales: Franco-Marina, Francisco, Fernandez-Plata, Rosario, Torre-Bouscoulet, Luis, García-Sancho, Cecilia, Sanchez-Gallen, Elisa, Martinez, David, Perez-Padilla, Rogelio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373258/
https://www.ncbi.nlm.nih.gov/pubmed/24841708
http://dx.doi.org/10.1038/npjpcrm.2014.2
Descripción
Sumario:BACKGROUND: Underdiagnosis of chronic obstructive pulmonary disease (COPD) in primary care can be improved by a more efficient screening strategy. AIMS: To evaluate a three-step method of screening for COPD consisting of an initial short questionnaire followed by measurement of forced expiratory volume in 1s/forced expiratory volume in 6s (FEV(1)/FEV(6)) using an inexpensive pocket spirometer in those with high risk, and diagnostic quality spirometry in those with a low FEV(1)/FEV(6). METHODS: We analysed two related Mexico City cross-sectional samples. The 2003 Mexico City PLATINO survey (n=542) was used to develop a short questionnaire to determine the risk of COPD and a 2010 survey (n=737) additionally used a pocket spirometer. The discriminatory power of the two instruments was assessed with receiver operator characteristic (ROC) curves using three COPD definitions. RESULTS: The developed COPD scale included two variables from a simple questionnaire and, in ROC analysis, an area under the curve (AUC) between 0.64 and 0.77 was found to detect COPD. The pocket spirometer had an AUC between 0.85 and 0.88 to detect COPD. Using the COPD scale as a first screening step excluded 35–48% of the total population from further testing at the cost of not detecting 8–18% of those with COPD. Using the pocket spirometer and sending those with a FEV(1)/FEV(6)<0.80 for diagnostic quality spirometry is very efficient, and substantially improved the positive predictive value at the cost of not detecting one-third of COPD cases. CONCLUSIONS: A three-step screening strategy for COPD substantially reduces the need for spirometry testing when only a COPD scale is used for screening.