Oates Simon A, Forsythe Lynsey, Somauroo John D, George Keith P, Papadakis Michael, Oxborough David
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.
Cardiology Clinical Academic Group, Molecular and Clinical Sciences Research Institute, St Georges, University of London, London, UK.
Ultrasound. 2019 May;27(2):94-100. doi: 10.1177/1742271X18818607. Epub 2019 Jan 17.
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.
在心脏参与运动前筛查中，评估主动脉根部尺寸很重要。心脏尺寸的缩放消除了身体大小的影响，从而能够进行有意义的组间/组内比较。开发合适的缩放方法、缩放变量并将其应用扩展到主要血管是很有必要的，这样才能适当地检测和处理潜在的病理情况。本研究旨在确定主动脉根部尺寸与体表面积/身高之间的关系。招募了220名精英橄榄球联盟运动员。所有参与者都完成了人体测量评估、12导联心电图和超声心动图检查。在主动脉瓣环、主动脉窦、窦管交界和升主动脉近端测量主动脉根部。对主动脉测量值与体表面积/身高之间的关系进行了线性和异速生长缩放。主动脉根部的绝对测量值落在正常人群数据范围内（平均值±标准差（范围）：主动脉瓣环：22±2（17 - 28）mm，主动脉窦：28±3（20 - 38）mm，窦管交界：22±3（14 - 33）mm，升主动脉近端：22±3（15 - 31）mm）。按身高进行线性缩放后，所有主动脉测量部位都产生了与大小无关的指数（P < 0.05）。相反，使用体表面积进行线性缩放在任何部位都没有产生与大小无关的指数（P > 0.05）。使用体表面积和身高进行异速生长缩放，在所有部位都产生了与大小无关的指数（P < 0.05）。我们建议在精英橄榄球联盟运动员中按身高对主动脉根部尺寸进行线性缩放，不建议使用体表面积作为线性缩放量。当同时使用体表面积和身高时，异速生长缩放也有效。
