Table 3.

Association between fever and survival to hospital discharge with different multivariate logistic regression models.

	Model 1		Model 2		Model 3		Model 4
	Odds ratio (95% CI)	P-Value	Odds ratio (95% CI)	P-Value	Odds ratio (95% CI)	P-Value	Odds ratio (95% CI)	P-Value
IDF	0.28 (0.14–0.56)	<0.001	0.30 (0.15–0.61)	0.001	0.31 (0.16–0.62)	0.001	0.36 (0.13–0.97)	0.04
No fever	Reference		Reference		Reference		Reference
Short-term fever	0.66 (0.41–1.06)	0.08	0.64 (0.39–1.06)	0.08	0.64 (0.39–1.06)	0.08	0.94 (0.74–1.38)	0.34
Prolonged fever	0.14 (0.07–0.28)	<0.001	0.14 (0.07–0.27)	<0.001	0.13 (0.07–0.27)	<0.001	0.13 (0.06–0.29)	<0.001
No fever	Reference		Reference		Reference		Reference
Early fever	0.73 (0.42–1.30)	0.29	0.78 (0.43–1.40)	0.40	0.38 (0.44–1.37)	0.38	1.28 (0.60–2.72)	0.52
Delayed fever	0.43 (0.26–0.70)	0.001	0.45 (0.27–0.74)	0.002	0.50 (0.31–0.81)	0.005	0.82 (0.42–1.60)	0.56

Model 1 adjusted covariates: diabetes mellitus, GCS ≤ 8, CPR interval, epinephrine dosing, renal replacement therapy. Model 2 included model 1 plus the potential confounders of procalcitonin, positive chest X-ray, endotracheal intubation, central venous catheter. Model 3 included model 2 plus the potential confounders of neuromuscular blockers, corticosteroids, antibiotic therapy. Model 4 included model 3 plus the potential confounders of NSAIDs, acetaminophen, physical cooling. CPR, cardiopulmonary resuscitation; CI, confidence interval; GCS, Glasgow Coma Scale; NSAIDs, non-steroidal anti-inflammatory drugs.