Applying Pulse Spectrum Analysis to Facilitate the Diagnosis of Coronary Artery Disease
Table 5
Multivariate analysis of relative spectral energy values and influence factors for coronary artery disease.
Prediction rate: 79.5%
Variable
B
Wald
Relative risk
95% CI
P value
Age
-0.002
0.004
1.00
0.93-1.07
NS
Gender
1.57
3.99
4.80
1.03-22.40
<0.05
BMI
-0.06
0.51
0.94
0.80-1.11
NS
Hypertension
0.61
0.66
1.84
0.42-7.99
NS
Diabetes
1.59
1.93
4.93
0.52-46.59
NS
Hyperlipidemia
0.21
0.08
1.23
0.30-5.10
NS
Right C1
0.10
1.88
1.11
0.96-1.28
NS
Right C5
-0.22
1.55
0.80
0.57-1.14
NS
Left C1
0.09
1.17
1.09
0.93-1.28
NS
Left C5
-0.34
5.12
0.71
0.53-0.96
<0.05
(i) Multivariate logistic regression analysis was performed by “enter” method. (ii) P <0.05: being statistically significant. (iii) NS: not significant. (iv) CI: confidence interval.
