Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment? Academic Article uri icon

Overview

abstract

  • 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.

authors

  • 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

publication date

  • June 13, 2018

Research

keywords

  • Pulmonary Disease, Chronic Obstructive
  • Surveys and Questionnaires

Identity

PubMed Central ID

  • PMC6005334

Scopus Document Identifier

  • 85049245186

Digital Object Identifier (DOI)

  • 10.2147/COPD.S152226

PubMed ID

  • 29942123

Additional Document Info

volume

  • 13