2018
DOI: 10.1371/journal.pone.0198777
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Testing for alpha-1 antitrypsin in COPD in outpatient respiratory clinics in Spain: A multilevel, cross-sectional analysis of the EPOCONSUL study

Abstract: BackgroundAlpha-1 antitrypsin deficiency (AATD) is the most common hereditary disorder in adults, but is under-recognized. In Spain, the number of patients diagnosed with AATD is much lower than expected according to epidemiologic studies. The objectives of this study were to assess the frequency and determinants of testing serum α1-antitrypsin (AAT) levels in COPD patients, and to describe factors associated with testing.MethodsEPOCONSUL is a cross-sectional clinical audit, recruiting consecutive COPD cases o… Show more

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Cited by 15 publications
(11 citation statements)
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“…In addition, Greulich et al [ 4 ] found that internists and general practitioners in Germany and Italy have low awareness of A1ATD. Similar observations were reported from Spain and Portugal [ 6 , 7 ]. Collectively, these studies inform the need to establish training programs for healthcare providers about A1AT testing of at-risk individuals.…”
Section: Discussionsupporting
confidence: 91%
“…In addition, Greulich et al [ 4 ] found that internists and general practitioners in Germany and Italy have low awareness of A1ATD. Similar observations were reported from Spain and Portugal [ 6 , 7 ]. Collectively, these studies inform the need to establish training programs for healthcare providers about A1AT testing of at-risk individuals.…”
Section: Discussionsupporting
confidence: 91%
“…Put another way, the overwhelming majority of patients with undiagnosed AATD who presented for care during the study window remained undiagnosed. Of note, our screening positivity rate correlates with rates in previous international studies of similar high-risk patients that were conducted using a similar methodology ( 4 , 5 ).…”
Section: Discussionsupporting
confidence: 81%
“…A strength of this model is that it provides an actionable plan to screen subjects, which primary-care providers value from such models [ 18 ]. Lastly, the prediction model lacks age, race, gender and tobacco use variables, which are factors known to introduce bias into the selection of subjects for AAT testing [ 10 , 13 ].…”
Section: Discussionmentioning
confidence: 99%