Table 2.
Univariate and multivariate logistic regression.
| Univariate Logistic Regression | Multivariate Logistic Regression § | |||
|---|---|---|---|---|
| OR (CI 95%) | p-Value | OR (CI 95%) | p-Value | |
| Age, ten years | 0.69 (0.43–1.04) | 0.088 | — | — |
| Sex, male | 0.6 (0.2–1.74) | 0.345 | — | — |
| Years since transplant | 1 (0.92–1.1) | 0.985 | 1.01 (0.92–1.12) | 0.793 |
| Diagnosis, CF | 2.05 (0.5–10.43) | 0.337 | 0.81 (0.13–5.38) | 0.820 |
| Diagnosis, COPD | 0.69 (0.24–1.98) | 0.495 | 1.49 (0.4–6.03) | 0.563 |
| Therapy, everolimus | 1.47 (0.39–6.26) | 0.578 | 1.28 (0.32–5.69) | 0.729 |
| Therapy, MMF/MPA | 0.11 (0.01–0.63) | 0.041 | 0.12 (0.01–0.78) | 0.059 |
§ Logistic regression models for diagnosis of CF (cystic fibrosis), diagnosis of COPD (chronic obstructive pulmonary disease), therapy with everolimus, and therapy with MMF/MPA (mycophenolate mofetil/mycophenolic acid), each adjusted for age and sex.