Ternacle Julien, Bremont Camille, d'Humieres Thomas, Faivre Laureline, Doan Huy Long, Gallet Romain, Oliver Leopold, Dubois-Randé Jean-Luc, Lim Pascal
AP-HP, Henri Mondor University Hospital, Cardiovascular department and Inserm U955, 51, avenue de Lattre-de-Tassigny, 94100 Créteil, France.
AP-HP, Henri Mondor University Hospital, Cardiovascular department and Inserm U955, 51, avenue de Lattre-de-Tassigny, 94100 Créteil, France.
Arch Cardiovasc Dis. 2017 Jun-Jul;110(6-7):403-412. doi: 10.1016/j.acvd.2016.11.003. Epub 2017 Jan 3.
Diagnosis of hypertrophic cardiomyopathy (HCM) in athletes can be challenging.
To ascertain parameters that differentiate patients with HCM from athletes with moderate left ventricular (LV) hypertrophy (LVH 13-15mm).
We retrospectively included 100 men: 50 elite rugby players (25 with moderate LVH and 25 with no LVH), 25 patients with HCM and moderate LVH and 25 controls. LV dyssynchrony was defined as the standard deviation of time to peak 2D longitudinal strain (16-segment model) and global strain components were computed from two- (2D) and three-dimensional (3D) speckle tracking.
2D global longitudinal strain (GLS) (18±2% vs. 19±2%) and various 3D strain components were similar in athletes with moderate LVH and controls, while LV volumes and dyssynchrony (39±8 vs. 31±9ms; P<0.001) were greater in athletes with moderate LVH. The accuracy for differentiating patients with HCM from athletes ranged between 0.57 and 0.92 for various markers, with the best obtained for LV dyssynchrony (AUC=0.92;>48ms had sensitivity=83%, specificity=89%). Binary logistic regression showed that accuracy was improved when LV dyssynchrony was combined with 2D GLS. HCM was excluded when 2D GLS was preserved (>18%) and there was no LV dyssynchrony (>48ms) and only patients with HCM had reduced longitudinal strain and LV dyssynchrony.
LV dyssynchrony combined with GLS can be used to differentiate athletes with moderate LVH from patients with HCM.
运动员肥厚型心肌病(HCM)的诊断可能具有挑战性。
确定能够区分肥厚型心肌病患者与左心室(LV)中度肥厚(LVH 13 - 15mm)运动员的参数。
我们回顾性纳入了100名男性:50名精英橄榄球运动员(25名有中度LVH,25名无LVH)、25名患有HCM且有中度LVH的患者以及25名对照者。LV不同步被定义为二维纵向应变达峰时间的标准差(16节段模型),并通过二维(2D)和三维(3D)斑点追踪计算整体应变分量。
中度LVH运动员与对照者相比,二维整体纵向应变(GLS)(18±2%对19±2%)及各种3D应变分量相似,但中度LVH运动员LV容积和不同步性更大(39±8对31±9ms;P<0.001)。不同标志物区分HCM患者与运动员的准确性在0.57至0.92之间,LV不同步性的准确性最佳(AUC = 0.92;>48ms时敏感性 = 83%,特异性 = 89%)。二元逻辑回归显示,LV不同步性与2D GLS联合时准确性提高。当2D GLS保留(>18%)且无LV不同步性(>48ms)时可排除HCM,只有HCM患者存在纵向应变降低和LV不同步性。
LV不同步性与GLS联合可用于区分中度LVH运动员与HCM患者。