Table 4.
Multivariable Logistic Regression Analysis for All 90-day Readmissions Cases
| Variable | Adjusted Odds Ratio | Interpretation |
|---|---|---|
| Autologous versus implant | 0.770 (0.638–0.931) | Autologous patients less likely to be readmitted |
| Charlson index | 1.221 (1.076–1.386) | Higher Charlson group more likely to be readmitted |
| Obesity | 1.205 (0.911–1.592) | Not Significant |
| Age group | 1.022 (0.929–1.124) | Not Significant |
| Medicaid versus medicare | 0.733 (0.515–1.042) | Not Significant |
| Medicaid versus private | 0.691 (0.538–0.887) | Private less likely to be readmitted |
| Medicaid versus other | 0.776 (0.442–1.327) | Not Significant |
| Income quartile 2 v 1 | 0.876 (0.672–1.143) | Not Significant |
| Income quartile 3 v 1 | 0.790 (0.608–1.027) | Not Significant |
| Income quartile 4 v 1 | 0.750 (0.591–0.952) | Higher income quartile less likely to be readmitted |
| Teaching versus nonteaching | 1.017 (0.813–1.273) | Not Significant |
| Hospital bed size | 1.016 (0.909–1.136) | Not Significant |
| Rural versus urban | 1.075 (0.874–1.323) | Not Significant |
| Diabetes (uncomplicated) | 1.102 (0.759–1.600) | Not Significant |
| Diabetes (complicated) | 1.212 (0.661–2.221) | Not Significant |
| Hypertension | 1.225 (1.000–1.500) | Not Significant |
| Chronic lung disease | 1.201 (0.894–1.613) | Not Significant |
| Length of stay | 1.090 (1.040–1.143) | Longer length of stay more likely to be readmitted |
The table contains the results of a logistic regression analysis performed on all included patients with 90-day readmissions to identify variables associated with 90-day readmission after breast reconstruction.