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Identifying Patients with Undiagnosed COPD in Primary Care Settings: Insight from Screening Tools and Epidemiologic Studies.
Han, MeiLan K; Steenrod, Anna W; Bacci, Elizabeth D; Leidy, Nancy K; Mannino, David M; Thomashow, Byron M; Barr, R G; Make, Barry J; Bowler, Russ P; Rennard, Stephen I; Houfek, Julia F; Yawn, Barbara P; Meldrum, Catherine A; Walsh, John W; Martinez, Fernando J.
Affiliation
  • Han MK; University of Michigan, Ann Arbor.
  • Steenrod AW; Evidera, Bethesda, Maryland.
  • Bacci ED; Evidera, Bethesda, Maryland.
  • Leidy NK; Evidera, Bethesda, Maryland.
  • Mannino DM; University of Kentucky, Lexington.
  • Thomashow BM; Columbia University, New York, New York.
  • Barr RG; Columbia University, New York, New York.
  • Make BJ; National Jewish Health, Denver, Colorado.
  • Bowler RP; National Jewish Health, Denver, Colorado.
  • Rennard SI; University of Nebraska, Omaha.
  • Houfek JF; University of Nebraska, Omaha.
  • Yawn BP; Olmsted Medical Center, Rochester, Minnesota.
  • Meldrum CA; University of Michigan, Ann Arbor.
  • Walsh JW; COPD Foundation, Washington, DC.
  • Martinez FJ; Weill Cornell Medical Center, New York, New York.
Chronic Obstr Pulm Dis ; 2(2): 103-121, 2015.
Article in En | MEDLINE | ID: mdl-26236776
OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality, yet research suggests this disease is greatly underdiagnosed. This literature review sought to summarize the most common and significant variables associated with case-finding or missed cases of COPD to inform more effective and efficient detection of high-risk COPD patients in primary care. METHODS: PubMed and EMBASE were searched for articles describing case-finding and epidemiologic research to detect or characterize new cases of COPD. International studies in primary and non-primary care settings, published in English from 2002-2014, were eligible for inclusion. Studies related to risk factors for development of COPD were excluded. RESULTS: Of the 33 studies identified and reviewed, 21 were case-finding or screening and 12 were epidemiological, including cross-sectional, longitudinal, and retrospective designs. A range of variables were identified within and across studies. Variables common to both screening and epidemiological studies included age, smoking status, and respiratory symptoms. Seven significant predictors from epidemiologic studies did not appear in screening tools. No studies targeted discovery of higher risk patients such as those with reduced lung function or risks for exacerbations. CONCLUSION: Variables used to identify new cases of COPD or differentiate COPD cases and non-cases are wide- ranging, (from sociodemographic to self-reported health or health history variables), providing insight into important factors for case identification. Further research is underway to develop and test the best, smallest variable set that can be used as a screening tool to identify people with undiagnosed, high-risk COPD in primary care.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Language: En Journal: Chronic Obstr Pulm Dis Year: 2015 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Language: En Journal: Chronic Obstr Pulm Dis Year: 2015 Document type: Article Country of publication: United States