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

被引:109
|
作者
Martinez, Fernando J. [1 ]
Mannino, David [2 ]
Leidy, Nancy Kline [3 ]
Malley, Karen G. [3 ]
Bacci, Elizabeth D. [4 ]
Barr, R. Graham [5 ,6 ]
Bowler, Russ P. [7 ]
Han, MeiLan K. [8 ]
Houfek, Julia F. [9 ]
Make, Barry [7 ]
Meldrum, Catherine A. [8 ]
Rennard, Stephen [10 ,11 ]
Thomashow, Byron [12 ]
Walsh, John [13 ]
Yawn, Barbara P. [14 ]
机构
[1] Weill Cornell Med Coll, Joan & Sanford I Weill Dept Med, New York, NY USA
[2] Univ Kentucky, Dept Prevent Med & Environm Hlth, Lexington, KY USA
[3] Evidera, Outcomes Res, Bethesda, MD USA
[4] Evidera, Outcomes Res, Seattle, WA USA
[5] Columbia Univ, Dept Med, Med Ctr, New York, NY USA
[6] Columbia Univ, Med Ctr, Dept Epidemiol, New York, NY USA
[7] Natl Jewish Hlth, Dept Med, Div Pulm Crit Care & Sleep Med, Denver, CO USA
[8] Univ Michigan, Div Pulm & Crit Care, Ann Arbor, MI 48109 USA
[9] Univ Nebraska Med Ctr, Coll Nursing, 985330 Nebraska Med Ctr, Omaha, NE 68198 USA
[10] Univ Nebraska Med Ctr, Dept Internal Med, Pulm Crit Care Allergy & Sleep Med Div, Omaha, NE USA
[11] AstraZeneca, Early Clin Discovery, Clin Discovery Unit, Cambridge, England
[12] Columbia Univ, Div Pulm Allergy & Crit Care Med, New York, NY USA
[13] COPD Fdn, Washington, DC USA
[14] Univ Minnesota, Dept Family & Community Hlth, Minneapolis, MN USA
关键词
screening; chronic obstructive pulmonary disease; primary care; questionnaire; random forests; AMERICAN-COLLEGE; COPD; QUESTIONNAIRE; VALIDATION; SPIROMETRY; DIAGNOSIS; INSIGHT; HEALTH; EXACERBATION; PREVALENCE;
D O I
10.1164/rccm.201603-0622OC
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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 FEY1. 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 casesfrom 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). Conclutions: CAPTURE with PEF can identify patients with COPD who would benefit from currently available therapy and require further diagnostic evaluation.
引用
收藏
页码:748 / 756
页数:9
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