Table 2 Regression analysis of factors associated with the number of postoperative medications.
Simple regression analysis | Multiple regression analysis | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
B | 95% CI | P value | B | B | 95% CI | β | P value | |||
Post med | ||||||||||
Age | − 2.212 | − 0.607 | 0.050 | 0.089 | ||||||
Sex | 0.066 | − 0.489 | 0.216 | 0.409 | ||||||
Steroid-use | 0.265 | 0.340 | 0.803 | 0.0002 | (adjusted R2 = 0.4553) | 0.9393 | 0.1463 | 1.7322 | 0.3995 | 0.022 |
Pre med | 0.360 | 0.035 | 0.658 | 0.033 | 0.1152 | − 0.2871 | 0.5174 | 0.1064 | 0.559 | |
Pre ATX | 120.14 | 0.088 | 0.687 | 0.016 | 0.0002 | − 0.0017 | 0.0021 | 0.0487 | 0.850 | |
1 W ATX | 121.73 | 0.234 | 0.759 | 0.0017 | 0.0005 | − 0.0018 | 0.0028 | 0.1070 | 0.672 | |
Pre IOP | 0.457 | − 0.217 | 0.488 | 0.499 | ||||||
highest IOP | 3.405 | 0.291 | 0.784 | 0.0006 | 0.0588 | − 0.03 | 0.148 | 0.34 | 0.19 | |
Post 1 W IOP | 1.613 | 0.100 | 0.694 | 0.0138 | − 0.002 | − 0.132 | 0.1288 | − 0.006 | 0.98 | |
Post 3 M IOP | 0.616 | − 0.0712 | 0.593 | 0.112 | ||||||
