Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients

Table 1 CATHGEN and PREDICT microarray cohort clinical and demographic characteristics

	CATHGEN Microarray Cohort			PREDICT Paired Microarray Cohort
	Controls	Cases		Controls	Cases
Variable	(N = 108)	(N = 87)	p.value	(N = 99)	(N = 99)	p.value
Sex (%Male)	55 (50.9%)	58 (66.7%)	0.039	75(75.8%)	75 (75.8%)	0.868
Age (yrs)	55 ± 11	63 ± 10	<.001	55 ± 12	62 ± 11	<.001
Caucasian	56 (51.9%)	60 (69%)	0.023	85(85.9%)	92 (92.9%)	0.166
BMI	32 ± 7	30 ± 6	0.098	30 ± 7	30 ± 6	0.722
Current Smoker	41 (38%)	45 (51.7%)	0.075	14(14.1%)	25 (25.3%)	0.074
Systolic BP	144 ± 22	153 ± 25	0.007	132 ± 17	138 ± 18	0.009
Diastolic BP	83 ± 13	87 ± 15	0.077	82 ± 11	80 ± 12	0.271
Hypertension	67 (62%)	65 (74.7%)	0.084	55(55.6%)	65 (65.7%)	0.191
Dyslipidemia	55 (50.9%)	58 (66.7%)	0.039	50(50.5%)	69 (69.7%)	0.009
Neutrophil Count	3.8 ± 1.2	4 ± 1.3	0.392	3.9 ± 1.2	4.3 ± 1.5	0.037
Lymphocyte Count	1.8 ± 0.7	1.9 ± 0.7	0.87	2 ± 0.7	1.9 ± 0.6	0.239

¹ Microarray cohort analyses are restricted to those whose arrays passed QC analysis (195/198 for CATHGEN and 198/210 for the PREDICT samples)

ISSN: 1755-8794