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Discriminative Accuracy of the CAPTURE Tool for Identifying Chronic Obstructive Pulmonary Disease in US Primary Care Settings.
Martinez, Fernando J; Han, MeiLan K; Lopez, Camden; Murray, Susan; Mannino, David; Anderson, Stacey; Brown, Randall; Dolor, Rowena; Elder, Nancy; Joo, Min; Khan, Irfan; Knox, Lyndee M; Meldrum, Catherine; Peters, Elizabeth; Spino, Cathie; Tapp, Hazel; Thomashow, Byron; Zittleman, Linda; Make, Barry; Yawn, Barbara P.
Affiliation
  • Martinez FJ; Weill Cornell Medicine/NY Presbyterian Hospital, New York, New York.
  • Han MK; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.
  • Lopez C; School of Public Health, University of Michigan, Ann Arbor.
  • Murray S; School of Public Health, University of Michigan, Ann Arbor.
  • Mannino D; Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington.
  • Anderson S; School of Public Health, University of Michigan, Ann Arbor.
  • Brown R; School of Public Health, University of Michigan, Ann Arbor.
  • Dolor R; Division of General Internal Medicine, Duke University, Durham, North Carolina.
  • Elder N; Oregon Health & Science University, Portland.
  • Joo M; Division of Pulmonary and Critical Care Medicine, University of Illinois, Chicago.
  • Khan I; Circuit Clinical, Clarence Center, New York.
  • Knox LM; LA Net Community Health Resource Network Collaboratory, Long Beach, California.
  • Meldrum C; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.
  • Peters E; Weill Cornell Medicine/NY Presbyterian Hospital, New York, New York.
  • Spino C; School of Public Health, University of Michigan, Ann Arbor.
  • Tapp H; Department of Family Medicine, Atrium Health, Charlotte, North Carolina.
  • Thomashow B; Division of Pulmonary and Critical Care Medicine, Columbia University, New York, New York.
  • Zittleman L; Department of Family Medicine, High Plains Research Network, University of Colorado, Aurora.
  • Make B; Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, Colorado.
  • Yawn BP; Department of Family and Community Health, University of Minnesota, Minneapolis.
JAMA ; 329(6): 490-501, 2023 02 14.
Article in En | MEDLINE | ID: mdl-36786790
ABSTRACT
Importance Chronic obstructive pulmonary disease (COPD) is underdiagnosed in primary care.

Objective:

To evaluate the operating characteristics of the CAPTURE (COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk) screening tool for identifying US primary care patients with undiagnosed, clinically significant COPD. Design, Setting, and

Participants:

In this cross-sectional study, 4679 primary care patients aged 45 years to 80 years without a prior COPD diagnosis were enrolled by 7 primary care practice-based research networks across the US between October 12, 2018, and April 1, 2022. The CAPTURE questionnaire responses, peak expiratory flow rate, COPD Assessment Test scores, history of acute respiratory illnesses, demographics, and spirometry results were collected. Exposure Undiagnosed COPD. Main Outcomes and

Measures:

The primary outcome was the CAPTURE tool's sensitivity and specificity for identifying patients with undiagnosed, clinically significant COPD. The secondary outcomes included the analyses of varying thresholds for defining a positive screening result for clinically significant COPD. A positive screening result was defined as (1) a CAPTURE questionnaire score of 5 or 6 or (2) a questionnaire score of 2, 3, or 4 together with a peak expiratory flow rate of less than 250 L/min for females or less than 350 L/min for males. Clinically significant COPD was defined as spirometry-defined COPD (postbronchodilator ratio of forced expiratory volume in the first second of expiration [FEV1] to forced vital capacity [FEV1FVC] <0.70 or prebronchodilator FEV1FVC <0.65 if postbronchodilator spirometry was not completed) combined with either an FEV1 less than 60% of the predicted value or a self-reported history of an acute respiratory illness within the past 12 months.

Results:

Of the 4325 patients who had adequate data for analysis (63.0% were women; the mean age was 61.6 years [SD, 9.1 years]), 44.6% had ever smoked cigarettes, 18.3% reported a prior asthma diagnosis or use of inhaled respiratory medications, 13.2% currently smoked cigarettes, and 10.0% reported at least 1 cardiovascular comorbidity. Among the 110 patients (2.5% of 4325) with undiagnosed, clinically significant COPD, 53 had a positive screening result with a sensitivity of 48.2% (95% CI, 38.6%-57.9%) and a specificity of 88.6% (95% CI, 87.6%-89.6%). The area under the receiver operating curve for varying positive screening thresholds was 0.81 (95% CI, 0.77-0.85). Conclusions and Relevance Within this US primary care population, the CAPTURE screening tool had a low sensitivity but a high specificity for identifying clinically significant COPD defined by presence of airflow obstruction that is of moderate severity or accompanied by a history of acute respiratory illness. Further research is needed to optimize performance of the screening tool and to understand whether its use affects clinical outcomes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Mass Screening / Pulmonary Disease, Chronic Obstructive / Missed Diagnosis Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Year: 2023 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Mass Screening / Pulmonary Disease, Chronic Obstructive / Missed Diagnosis Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: JAMA Year: 2023 Type: Article