Table 3 Binary logistic regression analysis for prediction of factors associated with the increase in the incidence of postoperative infection.
Predictors | P value | OR | 95% C.I. for EXP OR | |
|---|---|---|---|---|
Lower | Upper | |||
Groups | ||||
No drain | Reference | Reference | Reference | Reference |
Drain for 24 h | 0.848 | 1.173 | 0.230 | 5.991 |
Drain for 72 h | 0.391 | 0.354 | 0.033 | 3.793 |
Age | ||||
Age [30–49] years | Reference | Reference | Reference | Reference |
Age 50–69 | 0.586 | 0.558 | 0.068 | 4.550 |
Age ≥70 | 0.261 | 0.258 | 0.024 | 2.734 |
Presence of DM | 0.134 | 3.324 | 0.691 | 15.992 |
Surgical time >60 min | 0.071 | 5.038 | 0.873 | 29.094 |
Hematoma at 24 h | 0.001 | 16.317 | 3.020 | 88.160 |
Model summary | R2 = 0.387 X2 = 32.3 at df(7) P value < 0.001 | |||
