Table 4.

Final logistic model of predictors of negative K1R (N = 122)

Model parameter	β coefficient	p value	Odds ratio	95% CI
Age	0.16	0.0001	1.173	1.090–1.263
TPRb	0.002	0.05	1.002	1.000–1.004
Systolic pressurea	0.084	0.001	1.087	1.035–1.142
Aortic diameter	− 2.638	0.02	0.071	0.009–0.598
Weight	− 0.084	0.005	0.919	0.867–0.974

Nagelkerke R² = 0.77 (Model: p < 0.0001)

The potential predictors of K1R included in these procedures were: age, gender, height, weight, SP (as determined from the K2 algorithm), HR, TPR, CO, stiffness index (β), arterial compliance (SV/PP), LVM, LVM index, LVRWT, aortic diameter, CARWT, CIMTd, presence of carotid plaque, and CSA (surrogate for Vascular Mass)

^aMeasured using the K2 Algorithm from the WEP signal

^bTotal peripheral resistance (TPR)