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Table 6 Logistic regression model for surgical site infection as a dependent variable

From: Single-center experience with perioperative antibiotic prophylaxis and surgical site infections in kidney transplant recipients

Predictor (role)

Estimate

SE

Z

P value

OR

95% CI

Lower

Upper

Intercept

− 9.547

2.913

− 3.277

.001

7.143e−5

2.366e−7

0.022

 Reoperation (exposure)

1.941

0.776

2.502

.012

6.963

1.523

31.842

 Hematoma in the surgical site (exposure)

1.365

0.787

1.733

.083

3.916

0.837

18.329

 BMI (confounder)

0.205

0.104

1.966

.049

1.228

1.001

1.506

R2N: 0.263; AIC: 64.43; Accuracy: 96.0%; AUC: 0.857; Overall Model Test, χ2: 16.79, df: 3, P < .001

  1. SE standard error, OR odds ratio, CI confidence interval, BMI body mass index, R2N Nagelkerke’s R2, AIC Akaike information criterion, AUC area under the curve