Identification of patients with nonischemic dilated cardiomyopathy at risk of malignant ventricular arrhythmias: insights from cardiac magnetic resonance feature tracking

Table 3 Univariate and multivariate logistic regression analysis of predictors for NIDCM complicated with VAs

	Univariate logistic regression		Multivariate logistic regression
	OR [95%CI]	p value	OR [95%CI]	p value
Age(years)	0.99 (0.96–1.02)	0.62	—	—
Sex	0.96 (0.40–2.30)	0.93	—	—
BSA (m²)	0.58 (0.07–4.83)	0.61	—	—
LVEF (%)	0.84 (0.78–0.91)	0.07	—	—
LVEDVI (mL/m²)	1.03 (1.01–1.04)	0.09	—	—
LVESVI (mL/m²)	0.94 (0.93–1.03)	0.12	—	—
SVI (mL/m²)	0.79 (0.68–1.02)	0.76	—	—
LGE (+)	0.91 (0.32–2.56)	0.06	—	—
LGE Percent (%)	1.92 (1.48–2.62)	< 0.001	2.05 (1.50–2.81)	< 0.001
GPRS (%)	0.64 (0.52–0.78)	0.09	—	—
GPCS (%)	1.43 (1.19–2.62)	< 0.01	1.38 (1.14–1.67)	0.001
GPLS (%)	0.97 (1.48–2.182)	0.05	—	—

BSA, body surface area; LVEF, left ventricular ejection; EDV, end-diastolic volume; ESV, end-systolic volume; LVEDVI, left ventricular end-diastolic volume index; LVESVI, left ventricular end systolic volume index; SVI, indexed-stroke volume; LGE (+), late gadolinium enhancement positive; %LGE, LGE (+) mass as percentage of left ventricular myocardial mass; GPRS, global peak radial strain; GPCS, global peak circumferential strain; GPLS, global peak longitudinal strain

ISSN: 1471-2261