Autor según el artículo: Savic-Pesic, D; Chamorro, N; Lopez-Rodriguez, V; Daniel-Diez, J; Creixenti, AT; El Mesnaoui, MI; Navas, VKB; Cotte, JDC; Cano, IA; Azevedo, FAD; Penas, MT; Voelcker-Sala, I; Villalobos, F; Satue-Gracia, EM; Martin-Lujan, F; Hung, IFN
Departamento: Medicina i Cirurgia
Autor/es de la URV: López Rodríguez, Vanessa / Martín Lujan, Francisco Manuel / Savic Pesic, Darinka
Palabras clave: Spirometry interpretation Respiratory illness Pulmonary-function tests Primary-care Primary care Performance Office spirometry Copd Clinician tools American thoracic society
Resumen: Spirometry is a pulmonary function test where correct interpretation of the results is crucial for accurate diagnosis of disease. There are online tools to assist in the interpretation of spirometry results; however, as yet none are validated. We evaluated the interpretation accuracy of the Espiro app using pulmonologist interpretations as the gold standard. This is an observational descriptive study in which 118 spirometry results were interpreted by the Espiro app, two pulmonologists, two primary care physicians, and two residents of a primary care training program. We determined the interpretation accuracy of the Espiro app and the concordance of the pattern and severity interpretation between the Espiro app and each of the observers using Cohen's kappa coefficient (k). We obtained a sensitivity and specificity for the Espiro app of 97.5% (95% confidence interval (CI): 86.8-99.9%) and 94.9% (95%CI: 87.4-98.6%) with pulmonologist 1 and 100% (95%CI: 91.6-100%) and 98.7% (95%CI: 92.9-99.9%) with pulmonologist 2. The concordance for the pattern interpretation was greater than k 0.907, representing almost perfect agreement. The concordance of the severity interpretation was greater than k 0.807, representing substantial to almost perfect agreement. We concluded that the Espiro app is a valid tool for spirometry interpretation.
Áreas temáticas: Medicine, general & internal Clinical biochemistry
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: vanessa.lopez@urv.cat darinka.savic@urv.cat paco.martin@urv.cat darinka.savic@urv.cat
Identificador del autor: 0000-0003-0359-3588
Fecha de alta del registro: 2024-02-24
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/2075-4418/14/1/29
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Diagnostics. 14 (1):
Referencia de l'ítem segons les normes APA: Savic-Pesic, D; Chamorro, N; Lopez-Rodriguez, V; Daniel-Diez, J; Creixenti, AT; El Mesnaoui, MI; Navas, VKB; Cotte, JDC; Cano, IA; Azevedo, FAD; Penas (2024). Validity of the Espiro Mobile Application in the Interpretation of Spirometric Patterns: An App Accuracy Study. Diagnostics, 14(1), -. DOI: 10.3390/diagnostics14010029
DOI del artículo: 10.3390/diagnostics14010029
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2024
Tipo de publicación: Journal Publications
Repositori URV