title: Relationship between quantitative CT metrics and health status and BODE in chronic obstructive pulmonary disease.
abstract: BACKGROUND
  The value of quantitative CT (QCT) to identify chronic obstructive pulmonary disease (COPD) phenotypes is increasingly appreciated. The authors hypothesised that QCT-defined emphysema and airway abnormalities relate to St George's Respiratory Questionnaire (SGRQ) and Body-Mass Index, Airflow Obstruction, Dyspnea and Exercise Capacity Index (BODE).
  
  
  METHODS
  1200 COPDGene subjects meeting Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria for COPD with QCT analysis were included. Total lung emphysema was measured using the density mask technique with a -950 Hounsfield unit threshold. An automated programme measured mean wall thickness (WT), wall area percentage (WA%) and 10 mm lumenal perimeter (pi10) in six segmental bronchi. Separate multivariate analyses examined the relative influence of airway measures and emphysema on SGRQ and BODE.
  
  
  RESULTS
  In separate models predicting SGRQ score, a 1 unit SD increase in each airway measure predicted higher SGRQ scores (for WT, 1.90 points higher, p=0.002; for WA%, 1.52 points higher, p=0.02; for pi10, 2.83 points higher p<0.001). The comparable increase in SGRQ for a 1 unit SD increase in emphysema percentage in these models was relatively weaker, significant only in the pi10 model (for emphysema percentage, 1.45 points higher, p=0.01). In separate models predicting BODE, a 1 unit SD increase in each airway measure predicted higher BODE scores (for WT, 1.07-fold increase, p<0.001; for WA%, 1.20-fold increase, p<0.001; for pi10, 1.16-fold increase, p<0.001). In these models, emphysema more strongly influenced BODE (range 1.24-1.26-fold increase, p<0.001).
  
  
  CONCLUSIONS
  Emphysema and airway disease both relate to clinically important parameters. The relative influence of airway disease is greater for SGRQ; the relative influence of emphysema is greater for BODE.
authors.affiliation: Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, 3916 Taubman Center, Box 5360, 1500 E. Medical Center Drive, Ann Arbor, MI 48109-5360, USA.
authors.forename: Carlos H
authors.initials: CH
authors.lastname: Martinez
authors.forename: Ya-Hong
authors.initials: YH
authors.lastname: Chen
authors.forename: Phillip M
authors.initials: PM
authors.lastname: Westgate
authors.forename: Lyrica X
authors.initials: LX
authors.lastname: Liu
authors.forename: Susan
authors.initials: S
authors.lastname: Murray
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Curtis
authors.forename: Barry J
authors.initials: BJ
authors.lastname: Make
authors.forename: Ella A
authors.initials: EA
authors.lastname: Kazerooni
authors.forename: David A
authors.initials: DA
authors.lastname: Lynch
authors.forename: Nathaniel
authors.initials: N
authors.lastname: Marchetti
authors.forename: George R
authors.initials: GR
authors.lastname: Washko
authors.forename: Fernando J
authors.initials: FJ
authors.lastname: Martinez
authors.forename: Meilan K
authors.initials: MK
authors.lastname: Han
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D004417:Dyspnea / Q000175:diagnosis* / Q000000981:diagnostic imaging; D004646:Emphysema / Q000000981:diagnostic imaging*; D005260:Female; D006304:Health Status; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging*; D012044:Regression Analysis; D013147:Spirometry; D011795:Surveys and Questionnaires; D014057:Tomography, X-Ray Computed / Q000379:methods*