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Validation of the adult asthma epidemiological score: a secondary analysis of the EPI-ASTHMA population-based study

Title
Validation of the adult asthma epidemiological score: a secondary analysis of the EPI-ASTHMA population-based study
Type
Article in International Scientific Journal
Year
2024
Authors
Laranjeira, C
(Author)
Other
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Jacome, C
(Author)
Other
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Amaral, R
(Author)
Other
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Bernardo, F
(Author)
Other
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Correia-de-Sousa, J
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Title: BMJ OpenImported from Authenticus Search for Journal Publications
Vol. 14
ISSN: 2044-6055
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Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-017-DXW
Abstract (EN): Objective The A2 score is an eight-question patient-reported outcome measure that has been validated for ruling in (score >= 4) and ruling out (score 0-1) asthma. However, this screening tool has been validated in a cohort similar to the derivation cohort used. This study aims to validate the predictive accuracy of the A2 score in a primary care population against general practitioner (GP) clinical assessment and to determine whether the proposed cut-offs are the most appropriate. Design This accuracy study is a secondary analysis of the EPI-ASTHMA population-based study. Setting Primary care centres in Portugal. Participants Random adult participants answered the A2 score by phone interview. Outcomes Those with an A2 score >= 1 (plus 5% with an A2 score of 0) were invited to a diagnostic visit carried out by a GP to confirm or not a diagnosis of asthma. Diagnostic accuracy was assessed using receiver operating characteristic (ROC) curves. Results A total of 1283 participants (median 54 (p25-p75 43-66) years; 60% women) were analysed. The A2 score showed high discriminatory power in identifying asthma, with an area under the ROC curve of 82.9% (95% CI 80.4% to 85.4%). The proposed cut-off >= 4 was the most appropriate to rule in asthma (specificity 83.1%, positive predictive value 62.4%, accuracy 78%). Similarly, the proposed cut-off<2 was the most suitable for excluding asthma (sensitivity 92.7%, negative predictive value 93.7%, accuracy 60.5%). Conclusions The A2 score is a useful tool to identify patients with asthma in a primary care population. Trial registration number NCT0516961.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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