Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis

Table 1 Demographic summary stratified by coronary artery disease status

	NonCAD (N = 55)		CAD (N = 21)		p-value
Cardiovascular Risk Factors
Age	53.0 ± 11.7		63.0 ± 10.1		0.001
Male	29	53%	15	71%	0.195
Hypertension	26	47%	14	67%	0.199
Hyperlipidemia	26	47%	18	86%	0.004
Diabetes	5	9%	5	24%	0.128
Smoking	21	38%	12	57%	0.196
Family history of CAD	14	25%	10	48%	0.097
Body mass index (kg/m²)	29.1 ± 6.6		28.3 ± 4.6		0.81
Past Medical History
Prior PCI	0	0%	3	14%	0.019
CABG^a	0	0%	0	0%	1.000
Prior cerebrovascular accident	0	0%	1	5%	0.276
Medications
Aspirin or Anti-Platelet	29	53%	15	71%	0.25
Beta blocker	19	35%	11	52%	0.27
Calcium channel blocker	4	7%	1	5%	0.84
Nitrate	2	4%	1	5%	0.65
Diuretic	8	15%	2	19%	0.94
ACE inhibitor	13	24%	8	38%	0.35
ARB	4	7%	2	10%	0.97
Statin	22	40%	19	90%	< 0.001

Abbreviations: ACE angiotensin converting enzyme inhibitor, ARB angiotensin receptor blocker, BP blood pressure, CABG coronary artery bypass grafting, CAD coronary artery disease, LV left ventricular, LVEDV left ventricular end diastolic volume, LVESV left ventricular end systolic volume, LVEDMass left ventricular end diastolic mass, LGE late gadolinium enhancement, N/A not applicable, PCI percutaneous coronary intervention
p values that were significant (p<0.050 or lower) are in bold
^aPatients with a prior history of coronary artery by-pass surgery and 3 vessel CAD were excluded from this study

ISSN: 1532-429X