Skip to main content

Table 5 Moderation of prediction of clinically relevant improvement in CCQ score by condition: Logistic regression analyses

From: Exploring characteristics of COPD patients with clinical improvement after integrated disease management or usual care: post-hoc analysis of the RECODE study

    12-month follow-up
(N = 902)
24-month follow-up
(N = 728)
Model Predictor Value Odds ratio
(95% CI)
p-value Odds ratio
(95% CI)
p-value
Step 1 Gender Female vs Male 1.28 (0.94–1.74) 0.12   
Age Each year    0.96 (0.94–0.98) < 0.001
Low education Yes vs No 1.34 (0.98–1.82) 0.06   
Dyspnea - MRC score > 2 Yes vs No 1.84 (1.33–2.53) < 0.001 1.61 (1.03–2.51) 0.04
Major cardiovascular disease Yes vs No    1.63 (0.86–3.08) 0.13
Hypertension Yes vs No    1.00 (0.60–1.66) 1.00
Depression Yes vs No    1.33 (0.67–2.66) 0.42
Charlson co-morbidity index Each point 1.10 (0.98–1.24) 0.12 1.12 (0.89–1.41) 0.34
Condition Intervention vs Control 0.72 (0.53–0.98) 0.04 0.90 (0.59–1.36) 0.61
Step 2 (12-month) Condition*Gender 1.85 (1.00–3.44) 0.05   
Step 2A (24-month) Condition*Age    0.98 (0.94–1.02) 0.25
Step 2B (24-month) Condition*Dyspnea - MRC score > 2    1.08 (0.46–2.57) 0.86
Step 2C (24-month) Condition*Depression    0.56 (0.16–1.97) 0.37
  1. Step 1 included predictor variables that were significant in the multivariable analysis in the intervention and/or control group, as well as the condition variable. Interactions terms were added in Step 2 in separate models. Values are presented as odds ratios (95% confidence interval [CI])
  2. MRC Medical Research Council Dyspnea Scale