The CAPTURE Study: Validating a Unique COPD Case Finding Tool in Primary Care (Aim 1) (CAPTURE)
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ClinicalTrials.gov Identifier: NCT03581227 |
Recruitment Status :
Completed
First Posted : July 10, 2018
Last Update Posted : November 4, 2022
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Condition or disease | Intervention/treatment |
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Chronic Obstructive Pulmonary Disease (COPD) | Other: CAPTURE Tool |
The CAPTURE tool consists of a 5-item self-administered questionnaire and selected use of peak expiratory flow (PEF) measurement, designed to identify clinically significant COPD.
For Aim 1 approximately 5,000 patients will be recruited across 100 participating primary care clinics. Eligible participants will undergo a baseline visit during which the CAPTURE tool and PEF will be obtained, as well as spirometry and other participant characteristics.
Study Type : | Observational |
Actual Enrollment : | 4679 participants |
Observational Model: | Case-Only |
Time Perspective: | Prospective |
Official Title: | The CAPTURE Study: Validating a Unique Chronic Obstructive Pulmonary Disease (COPD) Case Finding Tool in Primary Care |
Actual Study Start Date : | July 1, 2018 |
Actual Primary Completion Date : | April 1, 2022 |
Actual Study Completion Date : | April 1, 2022 |

Group/Cohort | Intervention/treatment |
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Participants without a diagnosis of COPD
Men and women aged 45 to 80, who have not been diagnosed with Chronic Obstructive Pulmonary Disease (COPD)
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Other: CAPTURE Tool
CAPTURE Tool: a self administered 5-item questionnaire with peak expiratory flow measurements |
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with clinically significant COPD at baseline [ Time Frame: Baseline ]
Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with clinically significant COPD at baseline. Clinically significant COPD is defined as participants with abnormal spirometry, defined as post-bronchodilator FEV1/FVC < 0.7, plus one of the following: FEV1 < 60% predicted, or ≥ 1 exacerbation-like event within the past 12 months.
If a participant is unable to complete a post-bronchodilator spirometry (refusal, technical error on the part of coordinator, etc.), and the pre-bronchodilator FEV1/FVC is less than 0.65, the participant will be considered to have COPD for the purpose of follow-up in this study.
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with clinically significant COPD across sex, ethnic groups, urban vs rural location, and educational status. [ Time Frame: Baseline ]Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with COPD across sex, ethnic groups, urban vs rural location, and educational status.
- Positive and negative predictive values (PPV and NPV) in different practice settings [ Time Frame: Baseline ]Positive and negative predictive values in different practice settings
- Areas under the receiving operator characteristic curve (AUC) for various cutpoints of CAPTURE and PEF (Peak expiratory flow) measurements to determine the best cutpoint for clinically significant COPD screen [ Time Frame: Baseline ]AUC for various cutpoints of CAPTURE and PEF measurements to determine the best cutpoint for clinically significant COPD screen.
- AUC to identify the combination of patient/site characteristics which best discriminates those with clinically significant COPD [ Time Frame: Baseline ]AUC to identify the combination of patient/site characteristics which best discriminates those with clinically significant COPD
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with spirometrically defined COPD at baseline [ Time Frame: Baseline ]Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with Spirometrically defined COPD at baseline. Spirometrically defined COPD is defined as post-bronchodilator FEV1/FVC < 0.70.
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with spirometrically defined COPD across sex, ethnic groups, urban vs rural location, and educational status. [ Time Frame: Baseline ]Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with spirometrically defined COPD across sex, ethnic groups, urban vs rural location, and educational status. Spirometrically defined COPD is defined as post-bronchodilator FEV1/FVC < 0.70
- Areas under the receiving operator characteristic curve (AUC) for various cutpoints of CAPTURE and PEF (Peak expiratory flow) measurements to determine the best cutpoint for spirometrically defined COPD screen [ Time Frame: Baseline ]AUC for various cutpoints of CAPTURE and PEF measurements to determine the best cutpoint for spirometrically defined COPD (FEV1/FVC < 0.70) screen.
- AUC to identify the combination of patient/site characteristics which best discriminates those with spirometrically defined COPD [ Time Frame: Baseline ]AUC to identify the combination of patient/site characteristics which best discriminates those with spirometrically defined COPD (FEV1/FVC < 0.70).
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with mild COPD at baseline [ Time Frame: Baseline ]Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with mild COPD at baseline. Mild COPD is defined as participants with abnormal spirometry, defined as post-bronchodilator FEV1/FVC < 0.7, plus both of the following: FEV1 > 60% predicted and no prior history of COPD exacerbation.
- Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with mild COPD across sex, ethnic groups, urban vs rural location, and educational status. [ Time Frame: Baseline ]Sensitivity and specificity of CAPTURE to identify previously undiagnosed patients with mild COPD across sex, ethnic groups, urban vs rural location, and educational status. Mild COPD is defined as participants with abnormal spirometry, defined as post-bronchodilator FEV1/FVC < 0.7, plus both of the following: FEV1 > 60% predicted and no prior history of COPD exacerbation.
- Areas under the receiving operator characteristic curve (AUC) for various cutpoints of CAPTURE and PEF (Peak expiratory flow) measurements to determine the best cutpoint for mild COPD screen [ Time Frame: Baseline ]AUC for various cutpoints of CAPTURE and PEF measurements to determine the best cutpoint for mild COPD screen. Mild COPD is defined as participants with abnormal spirometry, defined as post-bronchodilator FEV1/FVC < 0.7, plus both of the following: FEV1 > 60% predicted and no prior history of COPD exacerbation.
- AUC to identify the combination of patient/site characteristics which best discriminates those with mild COPD [ Time Frame: Baseline ]AUC to identify the combination of patient/site characteristics which best discriminates those with mild COPD. Mild COPD is defined as participants with abnormal spirometry, defined as post-bronchodilator FEV1/FVC < 0.7, plus both of the following: FEV1 > 60% predicted and no prior history of COPD exacerbation.

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Ages Eligible for Study: | 45 Years to 80 Years (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Probability Sample |
Inclusion Criteria:
- Provision of signed and dated informed consent form
- Stated willingness to comply with all study procedures and availability for the duration of the study
- Male or female, aged 45-80 years
Exclusion Criteria:
- Previous clinician provided diagnosis of COPD
- Treated respiratory infection (with antibiotics and/or systemic steroids) in the past 30 days of baseline
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Participants unable to perform spirometry due to any of the following conditions within the past 30 days of baseline
- Chest surgery
- Abdominal surgery
- Eye surgery
- Heart attack
- Stroke

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03581227
United States, California | |
LANet | |
Los Angeles, California, United States, 90802 | |
United States, Colorado | |
High Plains Research Network | |
Aurora, Colorado, United States, 80054 | |
United States, Florida | |
COPD Foundation | |
Miami, Florida, United States, 33134 | |
United States, Illinois | |
Cook County Health | |
Chicago, Illinois, United States, 60612 | |
University of Illinois at Chicago | |
Chicago, Illinois, United States, 60612 | |
United States, North Carolina | |
Atrium Healthcare | |
Charlotte, North Carolina, United States, 28207 | |
Duke University | |
Durham, North Carolina, United States, 27701 | |
United States, Oregon | |
Oregon Rural Practice-based Research Network (ORPRN) | |
Portland, Oregon, United States, 97239 |
Principal Investigator: | Fernando J Martinez, MD, MS | Weill Medical College of Cornell University | |
Principal Investigator: | MeiLan Han | University of Michigan |
Responsible Party: | Weill Medical College of Cornell University |
ClinicalTrials.gov Identifier: | NCT03581227 |
Other Study ID Numbers: |
1803019032-1 R01HL136682-01 ( U.S. NIH Grant/Contract ) |
First Posted: | July 10, 2018 Key Record Dates |
Last Update Posted: | November 4, 2022 |
Last Verified: | November 2022 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
CAPTURE, COPD |
Lung Diseases Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Respiratory Tract Diseases |