Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment?
Received 21 September 2017
Accepted for publication 19 February 2018
Published 13 June 2018 Volume 2018:13 Pages 1901—1912
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Richard Russell
Nancy K Leidy,1 Fernando J Martinez,2 Karen G Malley,1 David M Mannino,3 MeiLan K Han,4 Elizabeth D Bacci,5 Randall W Brown,6 Julia F Houfek,7 Wassim W Labaki,4 Barry J Make,8 Catherine A Meldrum,4 Wilson Quezada,9 Stephen Rennard,10 Byron Thomashow,9 Barbara P Yawn11
1Evidera, Patient-Centered Research, Bethesda, MD, USA; 2Weill Cornell Medicine, Joan & Sanford Weill Department of Medicine, New York, NY, USA; 3University of Kentucky, Preventive Medicine & Environmental Health, Lexington, KY, USA; 4University of Michigan, Division of Pulmonary & Critical Care Medicine, Ann Arbor, MI, USA; 5Evidera, Patient-Centered Research, Seattle, WA, USA; 6University of Michigan, Department of Health Behavior & Health Education, School of Public Health, Ann Arbor, MI, USA; 7University of Nebraska Medical Center College of Nursing, Omaha, NE, USA; 8National Jewish Health, Department of Medicine, Division of Pulmonary, Critical Care & Sleep Medicine, Denver, CO, USA; 9Columbia University Medical Center, Division of Pulmonary, Allergy, & Critical Care, New York, NY, USA; 10AstraZeneca, IMED Biotech Unit, Cambridge, UK & University of Nebraska Medical Center, Department of Medicine, Omaha, NE, USA; 11University of Minnesota, Department of Family & Community Health, Minneapolis, MN & COPD Foundation, Miami, FL, USA
Background: COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE™) uses five questions and peak expiratory flow (PEF) thresholds (males ≤350 L/min; females ≤250 L/min) to identify patients with a forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <0.70 and FEV1 <60% predicted or exacerbation risk requiring further evaluation for COPD. This study tested CAPTURE’s ability to identify symptomatic patients with mild-to-moderate COPD (FEV1 60%–80% predicted) who may also benefit from diagnosis and treatment.
Methods: Data from the CAPTURE development study were used to test its sensitivity (SN) and specificity (SP) differentiating mild-to-moderate COPD (n=73) from no COPD (n=87). SN and SP for differentiating all COPD cases (mild to severe; n=259) from those without COPD (n=87) were also estimated. The modified Medical Research Council (mMRC) dyspnea scale and COPD Assessment Test (CAT™) were used to evaluate symptoms and health status. Clinical Trial Registration: NCT01880177, https://ClinicalTrials.gov/ct2/show/NCT01880177?term=NCT01880177&rank=1.
Results: Mean age (+SD): 61 (+10.5) years; 41% male. COPD: FEV1/FVC=0.60 (+0.1), FEV1% predicted=74% (+12.4). SN and SP for differentiating mild-to-moderate and non-COPD patients (n=160): Questionnaire: 83.6%, 67.8%; PEF (≤450 L/min; ≤350 L/min): 83.6%, 66.7%; CAPTURE (Questionnaire+PEF): 71.2%, 83.9%. COPD patients whose CAPTURE results suggested that diagnostic evaluation was warranted (n=52) were more likely to be symptomatic than patients whose results did not (n=21) (mMRC >2: 37% vs 5%, p<0.01; CAT>10: 86% vs 57%, p<0.01). CAPTURE differentiated COPD from no COPD (n=346): SN: 88.0%, SP: 83.9%.
Conclusion: CAPTURE (450/350) may be useful for identifying symptomatic patients with mild-to-moderate airflow obstruction in need of diagnostic evaluation for COPD.
Keywords: COPD, case-finding, undiagnosed COPD, screening tool, peak expiratory flow
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