Official Journal of the Italian Society of Orthopaedics and Traumatology
Table 5 Output of binary logistic regression models to identify independent predictors of any complications, extended length of stay and greater hospital charges
Outcome | Predictor | OR [CI, 95%] | p value |
|---|---|---|---|
Any complications | Age | 1.01 [1.00–1.02] | 0.023 |
Gender | 1.04 [0.71–1.53] | 0.841 | |
Deyo index | 1.10 [0.90–1.34] | 0.335 | |
ORIF vs arthroplasty | 0.67 [0.33–1.35] | 0.266 | |
Extended length of stay (> 4 days) | Age | 0.99 [0.99–1.01] | 0.655 |
Gender | 0.95 [0.69–1.31] | 0.758 | |
Deyo index | 1.24 [1.01–1.51] | 0.036 | |
ORIF vs arthroplasty | 1.01 [0.58–1.78] | 0.967 | |
Hospital charges > $39,387 | Age | 0.98 [0.97–0.99] | 0.001 |
Gender | 0.81 [0.53–1.22] | 0.303 | |
Deyo index | 1.31 [1.02–1.69] | 0.034 | |
ORIF vs arthroplasty | 1.39 [0.68–2.86] | 0.366 |