Table 5.

Multiple linear regression model including the independent variables: age, BSA, AMBP systolic (AMBPsys), AMBP diastolic (AMBPdia), bi- or tricuspid aortic valve (bi/tri), HRT deficiency, and karyotype.

Position CMR	Model		Significant variables
	r	p		p
Aortic valve sinus (pos1)	0.33	0.026	BAV/TAV	0.026
Ascending aorta (pos2)	0.56	< 0.001	Age	0.006
			BAV/TAV	0.001
			AMBPdia	0.036
			BSA	0.019
Aorta proximal to innominate artery (pos3)	0.57	< 0.001	Age	0.001
			BAV/TAV	0.045
			AMBPdia	0.012
			BSA	0.002
Proximal transverse aortic arch (pos4)	0.66	< 0.001	Age	< 0.001
			BAV/TAV	0.004
			AMBPdia	0.053
			BSA	0.015
Distal transverse aortic arch (pos5)	0.64	< 0.001	Age	< 0.001
			AMBPdia	0.034
			BSA	< 0.001
Aortic isthmus (pos6)	0.75	< 0.001	Age	< 0.001
			BSA	< 0.001
Descending aorta (pos7)	0.66	< 0.001	Age	0.001
			BAV/TAV	< 0.001
			AMBPsys	0.032
			AMBPdia	0.004
			BSA	0.001
Descending aorta (pos8) (diaphragm level)	0.75	< 0.001	Age	< 0.001
			BAV/TAV	< 0.001
			AMBPdia	0.041
			AMBPsys	0.001
			BSA	< 0.001