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Table 3 PREDICT algorithm development cohort clinical and demographic characteristics1

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

Variable Controls (N = 410) Cases (N = 230) p.value
Sex (%Male) 193 (47.1%) 180 (78.3%) <.001
Age (yrs) 57 ± 12 64 ± 11 <.001
Caucasian 347 (84.6%) 210 (91.3%) 0.022
BMI 31 ± 8 30 ± 6 0.348
Current Smoker 87 (21.2%) 45 (19.6%) 0.693
Systolic BP 133 ± 18 138 ± 18 <.001
Diastolic BP 80 ± 12 80 ± 11 0.944
Hypertension 248 (60.5%) 167 (72.6%) 0.003
Dyslipidemia 225 (54.9%) 170 (73.9%) <.001
Neutrophil Count 4 ± 1.2 4.3 ± 1.4 0.054
Lymphocyte Count 2 ± 0.6 1.9 ± 0.6 0.007
Chest Pain Category    .0004
Asymptomatic 141 (35.4%) 90 (39.6%)  
Atypical 56 (14.0%) 29 (12.8%)  
Non-Anginal 137 (34.3%) 47 (20.7%)  
Typical 65 (16.3%) 61 (26.9%)  
  1. 1Clinical and demographic characteristics for the 640 PREDICT algorithm development cohort are shown.