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Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment?
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 (FEV(1))/forc...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005334/ https://www.ncbi.nlm.nih.gov/pubmed/29942123 http://dx.doi.org/10.2147/COPD.S152226 |
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author | Leidy, Nancy K Martinez, Fernando J Malley, Karen G Mannino, David M Han, MeiLan K Bacci, Elizabeth D Brown, Randall W Houfek, Julia F Labaki, Wassim W Make, Barry J Meldrum, Catherine A Quezada, Wilson Rennard, Stephen Thomashow, Byron Yawn, Barbara P |
author_facet | Leidy, Nancy K Martinez, Fernando J Malley, Karen G Mannino, David M Han, MeiLan K Bacci, Elizabeth D Brown, Randall W Houfek, Julia F Labaki, Wassim W Make, Barry J Meldrum, Catherine A Quezada, Wilson Rennard, Stephen Thomashow, Byron Yawn, Barbara P |
author_sort | Leidy, Nancy K |
collection | PubMed |
description | 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 (FEV(1))/forced vital capacity (FVC) <0.70 and FEV(1) <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 (FEV(1) 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: FEV(1)/FVC=0.60 (+0.1), FEV(1)% 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. |
format | Online Article Text |
id | pubmed-6005334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60053342018-06-25 Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? Leidy, Nancy K Martinez, Fernando J Malley, Karen G Mannino, David M Han, MeiLan K Bacci, Elizabeth D Brown, Randall W Houfek, Julia F Labaki, Wassim W Make, Barry J Meldrum, Catherine A Quezada, Wilson Rennard, Stephen Thomashow, Byron Yawn, Barbara P Int J Chron Obstruct Pulmon Dis Original Research 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 (FEV(1))/forced vital capacity (FVC) <0.70 and FEV(1) <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 (FEV(1) 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: FEV(1)/FVC=0.60 (+0.1), FEV(1)% 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. Dove Medical Press 2018-06-13 /pmc/articles/PMC6005334/ /pubmed/29942123 http://dx.doi.org/10.2147/COPD.S152226 Text en © 2018 Leidy et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Leidy, Nancy K Martinez, Fernando J Malley, Karen G Mannino, David M Han, MeiLan K Bacci, Elizabeth D Brown, Randall W Houfek, Julia F Labaki, Wassim W Make, Barry J Meldrum, Catherine A Quezada, Wilson Rennard, Stephen Thomashow, Byron Yawn, Barbara P Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title | Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title_full | Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title_fullStr | Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title_full_unstemmed | Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title_short | Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? |
title_sort | can capture be used to identify undiagnosed patients with mild-to-moderate copd likely to benefit from treatment? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005334/ https://www.ncbi.nlm.nih.gov/pubmed/29942123 http://dx.doi.org/10.2147/COPD.S152226 |
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