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. 2020 Oct 5;10(10):e038286. doi: 10.1136/bmjopen-2020-038286

Table 2.

Multilevel logistic regression model* assessing the association between participant characteristics and likelihood of being listed on a chronic obstructive pulmonary disease (COPD) register among those with case-found COPD (n=754)

Participant characteristics aOR† (95% CI) P value
Age 1.02 (0.99 to 1.05) 0.139
Sex (male) 1.01 (0.63 to 1.60) 0.976
Smoking status
 Never smoked (reference)
 Ex-smoker 6.32 (1.88 to 21.29) 0.003
 Current smoker 8.68 (2.53 to 29.82) 0.001
FEV1 % predicted 0.96 (0.95 to 0.98) <0.001
Self-reported comorbidities (n) 0.97 (0.78 to 1.20) 0.766
CAT score 1.02 (0.99 to 1.05) 0.218

*Using data from the main TargetCOPD trial dataset.

†aOR estimated by a multilevel logistic regression model, accounting for clustering by practice and adjusted for all variables listed in the table.

aOR, adjusted OR; CAT, COPD assessment test; FEV1, forced expiratory volume in 1 s.