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A New Approach for Identifying Patients with Undiagnosed Chronic Obstructive Pulmonary Disease.


ABSTRACT:

Rationale

Chronic obstructive pulmonary disease (COPD) is often unrecognized and untreated.

Objectives

To develop a method for identifying undiagnosed COPD requiring treatment with currently available therapies (FEV1 <60% predicted and/or exacerbation risk).

Methods

We conducted a multisite, cross-sectional, case-control study in U.S. pulmonary and primary care clinics that recruited subjects from primary care settings. Cases were patients with COPD and at least one exacerbation in the past year or FEV1 less than 60% of predicted without exacerbation in the past year. Control subjects were persons with no COPD or with mild COPD (FEV1 ≥60% predicted, no exacerbation in the past year). In random forests analyses, we identified the smallest set of questions plus peak expiratory flow (PEF) with optimal sensitivity (SN) and specificity (SP).

Measurements and main results

PEF and spirometry were recorded in 186 cases and 160 control subjects. The mean (SD) age of the sample population was 62.7 (10.1) years; 55% were female; 86% were white; and 16% had never smoked. The mean FEV1 percent predicted for cases was 42.5% (14.2%); for control subjects, it was 82.5% (15.7%). A five-item questionnaire, CAPTURE (COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk), was used to assess exposure, breathing problems, tiring easily, and acute respiratory illnesses. CAPTURE exhibited an SN of 95.7% and an SP of 44.4% for differentiating cases from all control subjects, and an SN of 95.7% and an SP of 67.8% for differentiating cases from no-COPD control subjects. The PEF (males, <350 L/min; females, <250 L/min) SN and SP were 88.0% and 77.5%, respectively, for differentiating cases from all control subjects, and they were 88.0% and 90.8%, respectively, for distinguishing cases from no-COPD control subjects. The CAPTURE plus PEF exhibited improved SN and SP for all cases versus all control subjects (89.7% and 78.1%, respectively) and for all cases versus no-COPD control subjects (89.7% and 93.1%, respectively).

Conclusions

CAPTURE with PEF can identify patients with COPD who would benefit from currently available therapy and require further diagnostic evaluation. Clinical trial registered with clinicaltrials.gov (NCT01880177).

SUBMITTER: Martinez FJ 

PROVIDER: S-EPMC5363964 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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A New Approach for Identifying Patients with Undiagnosed Chronic Obstructive Pulmonary Disease.

Martinez Fernando J FJ   Mannino David D   Leidy Nancy Kline NK   Malley Karen G KG   Bacci Elizabeth D ED   Barr R Graham RG   Bowler Russ P RP   Han MeiLan K MK   Houfek Julia F JF   Make Barry B   Meldrum Catherine A CA   Rennard Stephen S   Thomashow Byron B   Walsh John J   Yawn Barbara P BP  

American journal of respiratory and critical care medicine 20170301 6


<h4>Rationale</h4>Chronic obstructive pulmonary disease (COPD) is often unrecognized and untreated.<h4>Objectives</h4>To develop a method for identifying undiagnosed COPD requiring treatment with currently available therapies (FEV<sub>1</sub> <60% predicted and/or exacerbation risk).<h4>Methods</h4>We conducted a multisite, cross-sectional, case-control study in U.S. pulmonary and primary care clinics that recruited subjects from primary care settings. Cases were patients with COPD and at least  ...[more]

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