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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