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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.