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. Author manuscript; available in PMC: 2020 Feb 1.
Published in final edited form as: Pharmacoepidemiol Drug Saf. 2018 Jun 20;28(2):140–147. doi: 10.1002/pds.4567

Table 3.

Predictive models to diagnose COPD: Development and Validation Cohorts

Cohort Variables Included 95% CI
EXHALE – Development Cohort (N=348) ICD-9 codes Age MDI’s Ever Smoker AUC SD LL UL
Model 1 X 0.633 0.032 0.570 0.696
Model 2* X X 0.766 0.031 0.705 0.827
Model 3 X X X 0.748 0.033 0.684 0.812
Model 4 X X X 0.771 0.032 0.708 0.834
Model 5 X X X X 0.772 0.032 0.709 0.834
UW – Validation Cohort (N=294) ICD-9 codes Age MDI’s Ever Smoker AUC SD LL UL
Model 1 X 0.651 0.029 0.595 0.708
Model 2 X X 0.675 0.033 0.612 0.739
Model 3 X X X 0.716 0.032 0.654 0.779
Model 4 X X X 0.714 0.030 0.654 0.773
Model 5 X X X X 0.734 0.030 0.675 0.792
*

BMA identified model

MDIs = metered dose inhalers

LL – Lower limit

UL – Upper limit

EXHALE:

P-value that Model 1 AUC is different than Model 2 (<0.01), Model 3 (<0.01), Model 4 (<0.01) and Model 5 (<0.01)

P-value that Model 3 AUC is different than Model 2 (0.46), Model 4 (0.26) and Model 5 (0.09)

P-value that Model 4 AUC is different than Model 2 (0.70) and Model 5 (0.96)

P-value that Model 5 AUC is different than Model 2 (0.70)

UW Cohort:

P-value that Model 1 AUC is different than Model 2 (0.54), Model 3 (<0.01), Model 4 (0.09) and Model 5 (<0.01)

P-value that Model 3 AUC is different than Model 2 (0.22), Model 4 (0.93) and Model 5 (0.34)

P-value that Model 4 AUC is different than Model 2 (0.02) and Model 5 (0.11)

P-value that Model 5 AUC is different than Model 2 (<0.01)