CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults
Abstract Background Chronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures...
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BMC
2025-01-01
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Online Access: | https://doi.org/10.1186/s12890-025-03492-5 |
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author | Alejandra Lozano-Forero Eduardo Tuta-Quintero Alirio R. Bastidas Blanka Pacheco Juan Cordero Kamil Faizal Miguel Molina Irma Méndez Andrés Cardona Nicoll Navarro Gabriela Bonilla Manuela Franco Juan Samboní Julio de La Hoz Georgina Doumat David Portilla Hannah Eljach |
author_facet | Alejandra Lozano-Forero Eduardo Tuta-Quintero Alirio R. Bastidas Blanka Pacheco Juan Cordero Kamil Faizal Miguel Molina Irma Méndez Andrés Cardona Nicoll Navarro Gabriela Bonilla Manuela Franco Juan Samboní Julio de La Hoz Georgina Doumat David Portilla Hannah Eljach |
author_sort | Alejandra Lozano-Forero |
collection | DOAJ |
description | Abstract Background Chronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures has emerged as an effective strategy to address this issue. We developed a new diagnostic tool, the COPD-Asthma Differentiation Questionnaire (CAD-Q), to differentiate between COPD and asthma in adults. Methods A cross-sectional study with diagnostic test analysis was done. Relevant clinical variables for diagnosing COPD and asthma were identified through crude Odds Ratios (OR) and a logistic regression model provided adjusted ORs. The CAD-Q, including sensitivity, specificity, predictive values, likelihood ratios, and ROC-curve, was compared to the LFQ, CDQ, PUMA, “Could it be COPD,” and COPD-PS questionnaires. Results 235 (52.9%) patients had COPD and 209 (47.1%) had asthma. A score ≥ 20 on the CAD-Q questionnaire showed a ROC-curve of 70% (95% CI: 65–75; p < 0.001) with a sensitivity of 83.8% (95% CI: 81.1–86.6), specificity of 47.8% (95% CI: 44.1–51.6), positive predictive value of 37.8% (95% CI: 34.2–41.5), negative predictive value of 88.7% (95% CI: 86.3–91), LR + of 1.61 (95% CI: 1.447–1.786), LR − of 0.34 (95% CI: 0.304–0.376) for diagnosing COPD. When comparing CAD-Q with other questionnaires for differentiating COPD and asthma, CAD-Q and CDQ had the highest sensitivity (83.8% and 77.9%). PUMA and “Could it be COPD” had the highest specificity (62.7% and 62.6%). CAD-Q and COPD-PS showed the highest negative predictive values (88.7% and 62.1%). CAD-Q, LFQ, and CDQ had the highest a ROC-curve (70%, 66%, and 66%). Conclusion The CAD-Q questionnaire effectively discriminated between COPD and asthma, outperforming previous tools. These findings support further research and refinement of diagnostic tools and call for validation in diverse clinical settings. |
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id | doaj-art-44c09a81f14345eea3c4a1df36eeb952 |
institution | Kabale University |
issn | 1471-2466 |
language | English |
publishDate | 2025-01-01 |
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series | BMC Pulmonary Medicine |
spelling | doaj-art-44c09a81f14345eea3c4a1df36eeb9522025-01-19T12:08:26ZengBMCBMC Pulmonary Medicine1471-24662025-01-012511910.1186/s12890-025-03492-5CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adultsAlejandra Lozano-Forero0Eduardo Tuta-Quintero1Alirio R. Bastidas2Blanka Pacheco3Juan Cordero4Kamil Faizal5Miguel Molina6Irma Méndez7Andrés Cardona8Nicoll Navarro9Gabriela Bonilla10Manuela Franco11Juan Samboní12Julio de La Hoz13Georgina Doumat14David Portilla15Hannah Eljach16Master’s Student in Epidemiology, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaInternal Medicine, Universidad de La SabanaInternal Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaSchool of Medicine, Universidad de La SabanaAbstract Background Chronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures has emerged as an effective strategy to address this issue. We developed a new diagnostic tool, the COPD-Asthma Differentiation Questionnaire (CAD-Q), to differentiate between COPD and asthma in adults. Methods A cross-sectional study with diagnostic test analysis was done. Relevant clinical variables for diagnosing COPD and asthma were identified through crude Odds Ratios (OR) and a logistic regression model provided adjusted ORs. The CAD-Q, including sensitivity, specificity, predictive values, likelihood ratios, and ROC-curve, was compared to the LFQ, CDQ, PUMA, “Could it be COPD,” and COPD-PS questionnaires. Results 235 (52.9%) patients had COPD and 209 (47.1%) had asthma. A score ≥ 20 on the CAD-Q questionnaire showed a ROC-curve of 70% (95% CI: 65–75; p < 0.001) with a sensitivity of 83.8% (95% CI: 81.1–86.6), specificity of 47.8% (95% CI: 44.1–51.6), positive predictive value of 37.8% (95% CI: 34.2–41.5), negative predictive value of 88.7% (95% CI: 86.3–91), LR + of 1.61 (95% CI: 1.447–1.786), LR − of 0.34 (95% CI: 0.304–0.376) for diagnosing COPD. When comparing CAD-Q with other questionnaires for differentiating COPD and asthma, CAD-Q and CDQ had the highest sensitivity (83.8% and 77.9%). PUMA and “Could it be COPD” had the highest specificity (62.7% and 62.6%). CAD-Q and COPD-PS showed the highest negative predictive values (88.7% and 62.1%). CAD-Q, LFQ, and CDQ had the highest a ROC-curve (70%, 66%, and 66%). Conclusion The CAD-Q questionnaire effectively discriminated between COPD and asthma, outperforming previous tools. These findings support further research and refinement of diagnostic tools and call for validation in diverse clinical settings.https://doi.org/10.1186/s12890-025-03492-5COPDAsthmaQuestionnaireDiagnostic accuracyPrimary care |
spellingShingle | Alejandra Lozano-Forero Eduardo Tuta-Quintero Alirio R. Bastidas Blanka Pacheco Juan Cordero Kamil Faizal Miguel Molina Irma Méndez Andrés Cardona Nicoll Navarro Gabriela Bonilla Manuela Franco Juan Samboní Julio de La Hoz Georgina Doumat David Portilla Hannah Eljach CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults BMC Pulmonary Medicine COPD Asthma Questionnaire Diagnostic accuracy Primary care |
title | CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults |
title_full | CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults |
title_fullStr | CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults |
title_full_unstemmed | CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults |
title_short | CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults |
title_sort | cad q copd asthma differentiation questionnaire performance of a new diagnostic score to differentiate between copd and asthma in adults |
topic | COPD Asthma Questionnaire Diagnostic accuracy Primary care |
url | https://doi.org/10.1186/s12890-025-03492-5 |
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