Table 3

Adjusted ORs and regression coefficients (β) for risk factors included in the final risk model

OR*(95% CI)β(95% CI)
Smoking status
 Never10
 Former4.72(4.35 to 5.12)1.55(1.47 to 1.63)
 Current11.7(10.7 to 12.7)2.46(2.37 to 2.54)
 Missing2.44(2.16 to 2.76)0.89(0.77 to 1.02)
Asthma2.11(1.93 to 2.31)0.75(0.66 to 0.84)
LRTI†
 010
 12.57(2.36 to 2.81)0.94(0.86 to 1.03)
 >14.29(3.83 to 4.80)1.46(1.34 to 1.57)
Salbutamol†6.91(6.33 to 7.55)1.93(1.85 to 2.02)
  • As this model was developed using case-control data, the intercept term is not applicable and has therefore not been presented.

  • *Estimated using a multivariable conditional logistic regression model.

  • †Within 3 years of COPD diagnosis or equivalent matched time point for controls.

  • Risk score=(former smoker×1.55)+(current smoker×2.46)+(unknown smoking status×0.89)+(asthma×0.75)+(1 episode of LRTI×0.94)+(>1 episode of LRTI×1.46)+(salbutamol×1.93).

  • NB. Each variable can either take the value 0 (not present) or 1 (present).

  • For example, A former smoker with a history of asthma who presented with more than one lower respiratory tract infection in the past 3 years, and received salbutamol in the past 3 years would have the following risk score:

  • (1×1.55)+(0×2.46)+(0×0.89)+((1×0.75)+(0×0.94)+(1×1.46)+(1×1.93)=5.69.

  • COPD, chronic obstructive pulmonary disease; LRTI, lower respiratory tract infection.