Development of a web application to evaluate spirometric curve and clinical variables to support COPD diagnosis in primary care
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Nacional de Salud
2024
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| _version_ | 1876447775054364672 |
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| author | Adriana Maldonado-Franco |
| author_facet | Adriana Maldonado-Franco |
| contents | Development of a web application to evaluate spirometric curve and clinical variables to support COPD diagnosis in primary care Adriana Maldonado-Franco Luis F. Giraldo-Cadavid Eduardo Tuta-Quintero Alirio R. Bastidas Angélica Moreno-Giraldo Daniel A. Botero-Rosas Medicina diagnosis spirometry data accuracy Pulmonary disease chronic obstructive Introduction Choric obstructive pulmonary disease (COPD) is the third mortality cause in the world, and the development of useful diagnostic tools is necessary to improve timely diagnostic rates in primary care settings.Objective To develop a web application displaying spirometric and clinical information - including respiratory symptoms and risk factors- to facilitate a COPD diagnosis.Materials and methods In this cross-sectional study, an expert consensus was carried out with three specialists using the Delphi method to choose the relevant variables for COPD diagnosis. We developed a Python-based web application to diagnose COPD, displaying the clinical variables deemed relevant by the experts along the spirometric curve.Results Twenty-six clinical variables were included in the web application for the diagnosis of COPD. A fourth expert used the web application to classify a cohort of 695 patients who had undergone spirometry in a third-level centre and had answered at least one of five questionnaires for COPD screening. Out of the 695 subjects, 34% had COPD, according to the expert that diagnosed them using the web application. Only 42% of the patients in the COPD group had received a previous COPD diagnosis and 19% of the patients in the no COPD group had been misdiagnosed with the disease.Conclusion We developed a web application that displays demographic and clinical information, as well as spirometric data, to facilitate the process of diagnosing COPD in primary care settings. 2024 artículo científico 0120-4157 https://www.redalyc.org/articulo.oa?id=84379006015 https://www.redalyc.org/journal/843/84379006015/ https://www.redalyc.org/journal/843/84379006015/html/ https://www.redalyc.org/journal/843/84379006015/84379006015.epub https://www.redalyc.org/journal/843/84379006015/movil 10.7705/biomedica.7142 en http://www.redalyc.org/revista.oa?id=843 Biomédica application/pdf Instituto Nacional de Salud Biomédica (Colombia) Num.1 Vol.44 |
| format | Artículo científico |
| id | redalyc_84379006015 |
| institution | Redalyc |
| language | en |
| publishDate | 2024 |
| publisher | Instituto Nacional de Salud |
| spellingShingle | Development of a web application to evaluate spirometric curve and clinical variables to support COPD diagnosis in primary care Adriana Maldonado-Franco Medicina diagnosis spirometry data accuracy Pulmonary disease chronic obstructive Development of a web application to evaluate spirometric curve and clinical variables to support COPD diagnosis in primary care Adriana Maldonado-Franco Luis F. Giraldo-Cadavid Eduardo Tuta-Quintero Alirio R. Bastidas Angélica Moreno-Giraldo Daniel A. Botero-Rosas Medicina diagnosis spirometry data accuracy Pulmonary disease chronic obstructive Introduction Choric obstructive pulmonary disease (COPD) is the third mortality cause in the world, and the development of useful diagnostic tools is necessary to improve timely diagnostic rates in primary care settings.Objective To develop a web application displaying spirometric and clinical information - including respiratory symptoms and risk factors- to facilitate a COPD diagnosis.Materials and methods In this cross-sectional study, an expert consensus was carried out with three specialists using the Delphi method to choose the relevant variables for COPD diagnosis. We developed a Python-based web application to diagnose COPD, displaying the clinical variables deemed relevant by the experts along the spirometric curve.Results Twenty-six clinical variables were included in the web application for the diagnosis of COPD. A fourth expert used the web application to classify a cohort of 695 patients who had undergone spirometry in a third-level centre and had answered at least one of five questionnaires for COPD screening. Out of the 695 subjects, 34% had COPD, according to the expert that diagnosed them using the web application. Only 42% of the patients in the COPD group had received a previous COPD diagnosis and 19% of the patients in the no COPD group had been misdiagnosed with the disease.Conclusion We developed a web application that displays demographic and clinical information, as well as spirometric data, to facilitate the process of diagnosing COPD in primary care settings. 2024 artículo científico 0120-4157 https://www.redalyc.org/articulo.oa?id=84379006015 https://www.redalyc.org/journal/843/84379006015/ https://www.redalyc.org/journal/843/84379006015/html/ https://www.redalyc.org/journal/843/84379006015/84379006015.epub https://www.redalyc.org/journal/843/84379006015/movil 10.7705/biomedica.7142 en http://www.redalyc.org/revista.oa?id=843 Biomédica application/pdf Instituto Nacional de Salud Biomédica (Colombia) Num.1 Vol.44 |
| title | Development of a web application to evaluate spirometric curve and clinical variables to support COPD diagnosis in primary care |
| topic | Medicina diagnosis spirometry data accuracy Pulmonary disease chronic obstructive |
| url | https://www.redalyc.org/articulo.oa?id=84379006015 https://www.redalyc.org/journal/843/84379006015/ https://www.redalyc.org/journal/843/84379006015/html/ https://www.redalyc.org/journal/843/84379006015/84379006015.epub https://www.redalyc.org/journal/843/84379006015/movil |