The association and predictive value analysis of metabolic syndrome on diastolic heart failure in patients at high risk for coronary artery disease

Table 4 Multiple logistic regression analysis for diastolic heart failure (DHF) and components of metabolic syndrome (MetS) as binary variables

Model	Variable	β	S.E.	P value	OR	95% CI
Model 1	BMI	0.12	0.407	0.773	1.125	0.51-2.5
	BP	1.82	0.428	<0.001	6.197	2.68-14.35
	FBG	0.47	0.364	0.201	1.592	0.78-3.25
	TG	0.80	0.416	0.043	2.236	1.01-5.05
	HDL	−0.36	0.376	0.339	0.698	0.33-1.46
Model 2	Constant	−3.41	0.514	<0.001
	Age	0.69	0.146	<0.001	2.004	1.51-2.67
	UA	0.93	0.488	0.045	2.546	1.08-6.62
	BP	1.93	0.413	<0.001	6.893	3.07-15.49
	TG	0.81	0.388	0.038	2.236	1.05-4.78

Note: Model 1 adjusted for age, serum creatinine, creatinine clearance rate, serum uric acid, left ventricular mass index and coronary artery disease; Model 2 was the best model. The following variables were entered in step 1: age, serum creatinine, creatinine clearance rate, serum uric acid, left ventricular mass index and coronary artery disease, body mass index, blood pressure, fasting blood glucose, triglycerides and high-density lipoprotein.
SE standard error, OR odds ratio, CI confidence interval.

ISSN: 1758-5996