Applying Pulse Spectrum Analysis to Facilitate the Diagnosis of Coronary Artery Disease

Table 4

Multivariate analysis of influence factors for coronary artery disease.

Prediction rate: 77.1%
Variable	B	Wald	Relative risk	95% CI	P value
Age	0.07	6.14	1.07	1.01-1.13	<0.05
Gender	1.37	3.84	3.94	1.00-15.52	0.05
BMI	-0.10	1.50	0.91	0.78-1.06	NS
Hypertension	0.57	0.81	1.77	0.51-6.16	NS
Diabetes	1.06	1.44	2.89	0.51-16.37	NS
Hyperlipidemia	0.25	0.15	1.28	0.37-4.49	NS

(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.