Table 2. Multivariable Model With Associated Risk Score for Each Included Variablea.
Characteristic | Adjusted Odds Ratio (95% CI) | Score |
---|---|---|
Age, y | ||
18-24 | 1 [Reference] | 0 |
25-34 | 1.21 (1.03-1.43) | 3 |
35-44 | 1.37 (1.16-1.61) | 4 |
45-54 | 1.33 (1.13-1.55) | 4 |
55-64 | 1.33 (1.14-1.55) | 4 |
Sex | ||
Male | 1 [Reference] | 0 |
Female | 1.22 (1.14-1.30) | 3 |
Discharge status | ||
Home | 1 [Reference] | 0 |
Nonhome | 2.14 (1.62-2.83) | 11 |
Socioeconomic status | ||
High | 1 [Reference] | 0 |
Low | 1.43 (1.31-1.55) | 5 |
Procedure category | ||
Minor | 1 [Reference] | 0 |
Major | 1.29 (1.18-1.42) | 4 |
Length of stay, d | ||
≤3 | 1 [Reference] | 0 |
>3 | 1.08 (1.01-1.16) | 1 |
Depression | 1.35 (1.22-1.50) | 4 |
Anxiety | 1.35 (1.17-1.56) | 4 |
Prior opioid use | ||
No use | 1 [Reference] | 0 |
Prior opioid exposure | 3.21 (2.96-3.47) | 17 |
Prior sustained opioid use | 13.00 (11.88-14.23) | 36 |
Total score | 100 |
The multivariable logistic regression model was adjusted for variables selected through backward stepwise regression and risk scores for each variable were calculated using the log odds of the variable divided by the sum of the log odds of the model, multiplied by 100 and rounded to the nearest integer.