医学
慢性阻塞性肺病
金标准(测试)
阻塞性肺病
肺功能测试
百分位
内科学
人口
气道阻塞
心脏病学
肺功能
呼吸道疾病
肺
气道
外科
统计
环境卫生
数学
作者
Martin R. Miller,Philip H. Quanjer,Maureen P. Swanney,Gregg L Ruppel,Paul Enright
出处
期刊:Chest
[Elsevier]
日期:2011-01-01
卷期号:139 (1): 52-59
被引量:199
标识
DOI:10.1378/chest.10-0189
摘要
Background Differences in COPD classification have been shown in population data sets when using fifth percentiles as the lower limit of normal (LLN) vs the current GOLD (Global Initiative for Chronic Obstructive Lung Disease) guidelines of FEV1/FVC < 0.70 for detecting airway obstruction and an FEV1 of 80% predicted for detecting and classifying the severity of COPD (GOLD/PP). Many lung function laboratories use 80% predicted to determine whether results are abnormal. Misclassification of the full range of lung diseases in large patient groups when using GOLD/PP criteria instead of the LLN has not been explored previously. Methods We determined the discrepancy rates in pulmonary function test interpretation between the GOLD/PP and LLN methods on prebronchodilator lung function results from a large number of adult patients from the United Kingdom, New Zealand, and the United States. Results In 11,413 patients, the GOLD/PP method misclassified 24%. Ten percent of patients who had normal lung function were falsely classified with a disease category, and 7% of patients were falsely attributed with emphysema. The GOLD/PP method gave false-positive classifications for airflow obstruction and restrictive defects to significantly more men (P < .01) and older patients (P < .0001) and also missed airflow obstruction and restrictive defects in younger patients (P < .0001). Conclusions Using lung function tests on their own with 80% predicted and fixed cut points to determine whether a test is abnormal could misdiagnose > 20% of patients referred for pulmonary function tests. The GOLD/PP method introduces clinically important biases in assessing disease status that could affect allocation to treatment groups. This misclassification is avoided by using the LLN based on the fifth-percentile values. Differences in COPD classification have been shown in population data sets when using fifth percentiles as the lower limit of normal (LLN) vs the current GOLD (Global Initiative for Chronic Obstructive Lung Disease) guidelines of FEV1/FVC < 0.70 for detecting airway obstruction and an FEV1 of 80% predicted for detecting and classifying the severity of COPD (GOLD/PP). Many lung function laboratories use 80% predicted to determine whether results are abnormal. Misclassification of the full range of lung diseases in large patient groups when using GOLD/PP criteria instead of the LLN has not been explored previously. We determined the discrepancy rates in pulmonary function test interpretation between the GOLD/PP and LLN methods on prebronchodilator lung function results from a large number of adult patients from the United Kingdom, New Zealand, and the United States. In 11,413 patients, the GOLD/PP method misclassified 24%. Ten percent of patients who had normal lung function were falsely classified with a disease category, and 7% of patients were falsely attributed with emphysema. The GOLD/PP method gave false-positive classifications for airflow obstruction and restrictive defects to significantly more men (P < .01) and older patients (P < .0001) and also missed airflow obstruction and restrictive defects in younger patients (P < .0001). Using lung function tests on their own with 80% predicted and fixed cut points to determine whether a test is abnormal could misdiagnose > 20% of patients referred for pulmonary function tests. The GOLD/PP method introduces clinically important biases in assessing disease status that could affect allocation to treatment groups. This misclassification is avoided by using the LLN based on the fifth-percentile values.
科研通智能强力驱动
Strongly Powered by AbleSci AI