Research Article
Prevalence of Postoperative Infection after Tooth Extraction: A Retrospective Study
Table 5
Binomial logistic regression with postoperative infection as the dependent variable.
| | Variable | Estimate | Standard error | Z value | value |
| | Sex (M) | 4.12 | 4.166e + 01 | 0.099 | 0.921 | | Age (>60) | −9.36 | 9.320 + 01 | −1.005 | 0.314 | | Age (30–60) | 2.02 | 5.549 + 01 | 0.037 | 0.970 | | Complexity (si) | −2.03 | 7.134 + 01 | −2.848 | 0.004 | | Operator (S) | 4.59 | 6.841 + 01 | 0.671 | 0.502 | | Indication (C) | 1.44 | 1.524 + 03 | 0.010 | 0.992 | | Indication (D) | −1.42 | 2.486 + 03 | 0.000 | 0.999 | | Indication (E) | 1.42 | 1.524 + 03 | 0.009 | 0.992 | | Indication (O) | 1.51 | 1.524 + 03 | 0.010 | 0.992 | | Indication (OX) | 1.40 | 1.524 + 03 | 0.009 | 0.992 | | Indication (PC) | 1.59 | 1.524 + 03 | 0.010 | 0.991 | | Indication (PD) | 1.44 | 1.524 + 03 | 0.009 | 0.992 | | Antibiotic prescription (Y) | 2.77 | 5.473 + 01 | 0.507 | 0.612 |
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M: male; Si: simple; S: student: C: pulpal pathology; D: deciduous; E: elective; O: orthodontic; OX: others; PC: pericoronitis; PD: periodontal disease.
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