Table 4.
Multivariable Logistic Regression Model–Days of Preoperative Opiate Prescriptions
| Within 30 days | After 60 days | |||
|---|---|---|---|---|
| Variable | OR (95% CI) | p-value | OR (95% CI) | p-value |
| Age | 0.82 (0.69–0.98) | 0.027 | 0.97 (0.79–1.20) | 0.81 |
| Sex | 0.61 (0.22–1.70) | 0.35 | 0.52 (0.15–1.84) | 0.32 |
| Race | 1.21 (0.22–6.56) | 0.82 | 3.8 (0.61–24.18) | 0.15 |
| BMI | 0.98 (0.93–1.04) | 0.58 | 0.89 (0.80–0.98) | 0.022 |
| ASA score | 1.31 (0.74–2.31) | 0.36 | 3.08 (1.25–7.61) | 0.014 |
| Laterality (left) | 1.38 (0.32–5.90) | 0.66 | 2.62 (0.46–14.97) | 0.279 |
| Laterality (right) | 1.31 (0.29–5.81) | 0.72 | 1.14 (0.17–7.64) | 0.089 |
| Preoperative opiate prescription, days | 1.73 (1.14–2.61) | 0.009 | 1.97 (1.16–3.36) | 0.013 |
Multivariable logistic regression models were performed for number of preoperative opiate prescriptions, days of preoperative opiate prescriptions, and number of providers prescribing opiate prescriptions preoperatively. These variables were modeled separately, and additional models are provided in Supplementary Tables S1, S2, S3.