Table 2.

Univariate and multivariate logistic regression

	Univariate analysis			Multivariate analysis
	OR	95% CI	P value	OR	95% CI	P value
Hypertension	3.094	1.405–6.817	0.005	2.399	0.778–7.403	0.128
Heart transplantation	0.308	0.150–0.630	0.001	1.159	0.282–4.773	0.838
LVEF	0.968	0.948–0.987	0.001	0.971	0.929–1.015	0.199
LVEDD	1.035	1.006–1.065	0.017	1.001	0.955–1.048	0.981
Secondary thoracotomy	2.722	1.302–5.689	0.008	1.112	0.325–3.812	0.865
Cardiac arrest/VF	4.219	1.769–10.061	0.001	1.402	0.336–5.857	0.643
Bedside	5.829	2.467–13.771	< 0.001	3.051	0.770–12.095	0.112
Concurrent initiation	0.454	0.226–0.910	0.026	0.375	0.146–0.963	0.041
IABP first	3.775	1.009–14.132	0.048	0.963	0.186–4.978	0.964

Logistic regressions were used to analyze the predictors of in-hospital mortality. The multivariate logistic regression was performed to identify independent factors using an “Enter” method

IABP intra-aortic balloon pump, LVEF left ventricular ejection fraction, LVEDD left ventricular end-diastolic diameter, VF ventricular fibrillation, CI confidence intervals, OR odds ratio