Original investigationIdentification of Early Interstitial Lung Disease in Smokers from the COPDGene Study
Section snippets
COPDGene
The COPDGene Study is a multicenter investigation focused on examining the genetic and epidemiologic basis of COPD and other smoking-related lung diseases. Study participants complete a protocol that includes questionnaires, medical record review, physical examination, and spirometric measures of lung function before and after the administration of a short-acting inhaled bronchodilator. Common metrics of lung function reported from this maneuver include forced expiratory volume in 1 second (FEV1
Cohort Demographics
The demographic and functional data of the study cohort are provided in Table 1. The median age of the cohort was 61 years, and 44% were men. Forty-seven of the subjects were current smokers, and the median tobacco history (average number of packs per day multiplied by the number of years smoked) was 37.6 pack-years. The median FEV1 expressed as a percentage of the predicted value was 87% (interquartile range, 73%–100%), and the median FVC expressed as a percentage of the predicted value was
Discussion
In this report, we present the first comparison of chest CT reading methods for the identification of subjects with early ILD. To establish an efficient sequential CT evaluation method that objectively qualifies early ILD changes, we have undertaken a review of a subset of 100 chest CT scans from the COPDGene Study.
Our data demonstrate a high degree of correlation between a sequential reading method and a consensus reading method. The sequential reading method is an effective and efficient
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COPDGene is supported by grants U01 HL089897 and U01 HL089856 from the National Institutes of Health (NIH; Bethesda, MD). Dr Washko is supported by grant K23 HL089353 from the NIH and an award from the Parker B. Francis Foundation (Kansas City, MO). Dr Hunninghake is supported by grant K08 HL092222 from the NIH. Dr Rosas is supported by grant HL087030 from the NIH. Dr Hatabu is supported by grant 5R21CA116271-2 from the NIH