Table II.

Relationship between the five studied non-invasive markers of cardiovascular damage and the cardiovascular risk factors in separate models of multivariable-adjusted binary logistic regression analysis

Model	Variable	Beta	95% CI of beta	P-value
ABI*	Age	1.11	1.01–1.22	0.02
	25(OH)D	0.84	0.71–1.00	0.05
	Uric acid	2.39	1.24–4.58	< 0.01
	Constant	0.00		< 0.01
IMT†	Age	1.13	1.06–1.20	< 0.01
	Male gender	0.25	0.06–0.96	0.04
	Constant	0.00		< 0.01
CAVI‡	Age	1.22	1.10–1.34	< 0.01
	Male gender	0.09	0.01–0.59	0.01
	BMI	0.84	0.71–0.99	0.04
	Constant	0.05	0.05	0.12
Aortic calcification scoreĄ	Age	1.09	1.05–1.14	< 0.01
	Constant	0.00		< 0.01
Ventricular septum§	Age	1.05	1.01–1.09	< 0.01
	Male gender	0.21	0.07–0.66	< 0.01
	Cholesterol	0.98	0.97–0.99	0.03
	Triglycerides	1.00	1.00–1.01	0.04
	Serum phosphate	1.87	0.91–3.83	0.08
	Constant	0.01		0.07

Each model included the same cardiovascular risk factors. Variables entered at step 1 for each model: age, gender, diabetic status, smoking status, 25(OH)D, serum PTH, serum alkaline phosphatase, eGFR (MDRD), uric acid, CRP, cholesterol, MBP, BMI, triglycerides, serum phosphate.

^*Cox and Snell R² = 0.23; p < 0.01

^†Cox and Snell R² = 0.31; p < 0.01

^‡Cox and Snell R² = 0.43; p < 0.01

^ĄCox and Snell R² = 0.30; p < 0.01

^§Cox and Snell R² = 0.29; p < 0.01