Table 3.

Logistic regression model with antibiotic use as outcome variable.

Logistic regression model with antibiotic use as outcome variable
Explanatory variables	Odds ratio (95% CI)	p-value
Difficulty in breathing	33.4 (4.2–263.4)	0.001
Tachypnea	9.3 (1.4–60.9)	0.020
Use of antibiotics before the visit	8.4 (0.6–110.0)	0.106
Co-infection diagnosed or suspected	6.7 (0.7–62.3)	0.097
Temperature at presentation/°C	0.1 (0.02–1.2)	0.078
Born preterm	0.3 (0.05–1.7)	0.168
Performance of the prediction model
Accuracy (correctly classified)	92.42%
Sensitivity	95.45%
Specificity	86.36%