Author, as appears in the article.: 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
Department: Medicina i Cirurgia
URV's Author/s: López Rodríguez, Vanessa / Martín Lujan, Francisco Manuel / Savic Pesic, Darinka
Keywords: Spirometry interpretation Respiratory illness Pulmonary-function tests Primary-care Primary care Performance Office spirometry Copd Clinician tools American thoracic society
Abstract: 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.
Thematic Areas: Medicine, general & internal Internal medicine Clinical biochemistry
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: vanessa.lopez@urv.cat darinka.savic@urv.cat darinka.savic@urv.cat paco.martin@urv.cat
Author identifier: 0000-0003-0359-3588
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2075-4418/14/1/29
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Diagnostics. 14 (1):
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
Article's DOI: 10.3390/diagnostics14010029
Entity: Universitat Rovira i Virgili
Journal publication year: 2024
Publication Type: Journal Publications