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Table 1 Characteristics of patients with suspected CAD (n = 260)

From: A model combining rest-only ECG-gated SPECT myocardial perfusion imaging and cardiovascular risk factors can effectively predict obstructive coronary artery disease

Variables

Without obstructive CAD (n = 165)

With obstructive CAD (n = 95)

P value

Age (years old)

60.8 ± 9.2

62.7 ± 9.0

0.101

Male (%)

99 (60.0)

72 (75.8)

0.010

BMI (kg/m2)

25.1 ± 3.0

24.6 ± 2.9

0.269

Hypertension (%)

103 (62.4)

73 (76.8)

0.017

Diabetes (%)

26 (15.8)

35 (36.8)

< 0.001

Hyperlipidemia (%)

98 (59.4)

74 (77.9)

0.002

Smoking > 1 year (%)

59 (35.8)

41 (43.2)

0.238

Gated SPECT

   

 EDV (ml)

86.9 ± 25.2

100.4 ± 46.9

0.010

 ESV (ml)

31.4 ± 14.8

46.3 ± 39.0

0.001

 LVEF (%)

65.4 ± 8.5

58.3 ± 12.4

< 0.001

 SRS ≥ 4 (%)

7 (4.2)

33 (34.7)

< 0.001

 SMS ≥ 2 (%)

6 (3.6)

39 (41.1)

< 0.001

 STS ≥ 2 (%)

6 (3.6)

34 (35.8)

< 0.001

 PFR

2.3 ± 0.5

2.1 ± 0.6

0.001

  1. CAD coronary artery disease, BMI body mass index, SPECT single photon emission computerized tomography, EDV end diastolic volume, ESV end systolic volume, LVEF left ventricular ejection fraction, SRS summed rest score, SMS summed motion score, STS summed thickening score, PFR peak filling rate