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
University of Michigan, Ann Arbor.
Evidera, Bethesda, Maryland.
Chronic Obstr Pulm Dis. 2015;2(2):103-121. doi: 10.15326/jcopdf.2.2.2014.0152.
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.
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.
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.
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.
慢性阻塞性肺疾病(COPD)是发病和死亡的主要原因,但研究表明该疾病的诊断严重不足。本综述旨在总结与COPD病例发现或漏诊相关的最常见和最重要的变量,以便在初级保健中更有效、高效地检测高危COPD患者。
检索PubMed和EMBASE数据库,查找描述病例发现和流行病学研究以检测或描述COPD新病例的文章。纳入2002年至2014年以英文发表的在初级和非初级保健环境中的国际研究。排除与COPD发病危险因素相关的研究。
在检索和综述的33项研究中,21项为病例发现或筛查研究,12项为流行病学研究,包括横断面、纵向和回顾性设计。在各项研究中确定了一系列变量。筛查和流行病学研究共有的变量包括年龄、吸烟状况和呼吸道症状。流行病学研究中的7个重要预测因素未出现在筛查工具中。没有研究针对发现更高风险的患者,如肺功能降低或有加重风险的患者。
用于识别COPD新病例或区分COPD病例与非病例的变量范围广泛(从社会人口统计学变量到自我报告的健康或健康史变量),为病例识别的重要因素提供了见解。目前正在进行进一步研究,以开发和测试最佳、最小的变量集,用作筛查工具,以识别初级保健中未诊断的高危COPD患者。