| Revue: | Revista de investigación clínica |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000453187 |
| ISSN: | 0034-8376 |
| Autores: | Fernandez Plata, Rosario1 Thirion Romero, Ireri2 Martinez Briseño, David1 Franco Marina, Francisco1 Perez Padilla, Rogelio2 |
| Instituciones: | 1Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Departamento de Epidemiología, Ciudad de México. México 2Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Departamento de Investigación en Tabaquismo y EPOC, Ciudad de México. México |
| Año: | 2020 |
| Periodo: | Nov-Dic |
| Volumen: | 72 |
| Número: | 6 |
| Paginación: | 386-393 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | 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 |
| Disciplinas: | Medicina |
| Palabras clave: | Neumología, Diagnóstico, Enfermedad pulmonar obstructiva crónica (EPOC), Volumen expiratorio, Espirometría |
| Keyword: | Pneumology, Diagnosis, Chronic obstructive pulmonary disease (COPD), Expiratory volume, Spirometry |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
