| Title |
Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment?
|
|---|---|
| Published in |
International Journal of Chronic Obstructive Pulmonary Disease, June 2018
|
| DOI | 10.2147/copd.s152226 |
| Pubmed ID | |
| Authors |
Nancy K Leidy, Fernando J Martinez, Karen G Malley, David M Mannino, MeiLan K Han, Elizabeth D Bacci, Randall W Brown, Julia F Houfek, Wassim W Labaki, Barry J Make, Catherine A Meldrum, Wilson Quezada, Stephen Rennard, Byron Thomashow, Barbara P Yawn |
| Abstract |
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. 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. 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%. CAPTURE (450/350) may be useful for identifying symptomatic patients with mild-to-moderate airflow obstruction in need of diagnostic evaluation for COPD. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Postgraduate | 3 | 5% |
| Student > Ph. D. Student | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 31 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 18% |
| Medicine and Dentistry | 10 | 17% |
| Social Sciences | 3 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 33 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,732
of 2,578 outputs
Outputs of similar age
#221,357
of 342,877 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#55
of 77 outputs
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