Scaling to produce size

The assessment of aortic root dimensions is important in cardiac pre-participation screening. Scaling of cardiac dimensions removes the impact of body size allowing meaningful inter/intra group comparisons. Developing appropriate scaling approaches, scaling variables and extending the application to major vessels is warranted so underlying pathology can be detected and managed appropriately. The study aims to define relationships between aortic root dimensions and body surface area/height. Two hundred and twenty elite Rugby Football League athletes were recruited. All participants completed anthropometric assessments, a 12-lead ECG and echocardiogram. Aortic root was measured at the aortic annulus, sinus of valsalva, sinotubular junction and the proximal ascending aorta. Linear and allometric scaling were performed on the relationship between aortic measurements and body surface area/height. Absolute aortic root measurements fell within normal population data (mean？±？standard deviation (range): aortic annulus: 22？±？2 (17–28) mm, sinus of valsalva: 28？±？3 (20–38) mm, sinotubular junction: 22？±？3 (14–33) mm, proximal ascending aorta: 22？±？3 (15–31) mm). Linear scaling to height produced size-independent indices at all aortic measurement sites (P？<？0.05). Conversely, linear scaling using body surface area did not produce size-independent indices at any site (P？>？0.05). Allometric scaling, using both body surface area and height, produced size-independent indices at all sites (P？<？0.05). We recommend linearly scaling aortic root dimensions to height in elite Rugby Football League athletes and discourage the use of body surface area as a linear scaling quantity. Allometric scaling is also effective when using both body surface area and height