Supplementary Material 3.

Logistic regression (model: binary logit; optimization: Fischer’s scoring) with stepwise elimination to indicate only significant variables and two-way-interactions regarding fatal outcome for patients with enterococcal or nonenterococcal bacteremia. Significance was assessed by chi-square testing

Odds ratio estimates and profile-likelihood confidence intervalsa
	Enterococcal bacteremia			Nonenterococcal bacteremia
Effect	Estimate	95% Confidence limits	P	Estimate	95% Confidence Limits	P
Any surgery vs. no surgery	0.33	0.12-0.83	0.02	0.36	0.20-0.63	<0.01
Temp. ≥38.5°C vs. temp. <38°C	0.29	0.12-0.71	<0.01	0.48	0.29-0.81	<0.01
Need for invasive ventilation yes vs. no	4.98	2.03-13.51	<0.01	2.53	1.30-5.04	<0.01
Temp. 38°C-38.5°C vs. temp. <38°C	0.29	0.08-0.63	<0.01	0.37	0.21-0.67	<0.01
Pulse rate ≥100 / min vs. <100 / min				1.82	1.16-2.86	<0.01
RR <100/60 vs. RR 100/60-120/80 (mm Hg)				1.82	1.14-2.89	0.01
Need for catecholamines vs. no need				2.06	1.16-3.64	0.01
Antibiotic therapy at time point of sample acquisition vs. no such therapy at this time point				2.48	1.56-4.01	<0.01

^aDetection of bacteria in bronchoalveolar lavage or urine samples as well as the parameters leukocytes in urine and elevated procalcitonin levels were excluded because of incomplete data sets.