Su Ye, Li Chunmei, Yin Lixue
School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Department of Cardiovascular Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.
Front Cardiovasc Med. 2023 May 15;10:1168514. doi: 10.3389/fcvm.2023.1168514. eCollection 2023.
The aim of this study is to evaluate the left atrial strain (LAS) in patients with hypertrophic cardiomyopathy (HCM) by treadmill exercise stress echocardiography, combined with three-dimensional speckle tracking technology, for predicting exercise tolerance.
A total of 97 patients with HCM who underwent treadmill exercise stress echocardiography were recruited in Sichuan Provincial People's Hospital between January 2018 and January 2021, and 30 control subjects were selected to be included in the normal group. HCM patients with their metabolic equivalents (METS) ≤ 6.0 were included in the HCM-1 group, while those with METS > 6.0 were included in the HCM-2 group. The LAS and exercise tolerance were analyzed. The ultrasound parameters that could predict a decrease in exercise tolerance were screened, and a predictive model was constructed.
It was found that METS, Rest-LASr, Rest-LAScd, and Rest-LASct were significantly lower in HCM patients than those in normal controls. There was a significant difference in age, Target_HR, LVMI, LAVI, /'-Rest, /'-Peak, Rest-LASr, Rest-LAScd, and Rest-LASct between the HCM-1 and the HCM-2 groups. LASr is an independent resting echocardiographic predictor of METS ≤ 6.0. LASr remained significant for predicting different subtypes (AHCM, asymmetric HCM, and obstructive HCM). Rest-LASr (AUC 0.990) was better at predicting METS ≤ 6.0 than Peak-/' (AUC 0.753). A multivariate model (LASr + Age + Target_HR) was established for METS prediction.
Left atrial reservoir strain (LASr) has the strongest association with METS ≤ 6.0. The LASr is an independent resting predictor of METS ≤ 6.0 and has a good performance record in predicting different subtypes of HCM. Compared with the traditional parameters, Peak-/' and Rest-/', Rest-LASr is the best predictor. Rest-LASr can serve as a reliable method for HCM patients who are unable to undergo exercise testing but require an urgent evaluation of their METS, which provides a basis for clinical treatment decision-making and treatment effect evaluation.
本研究旨在通过平板运动负荷超声心动图结合三维斑点追踪技术评估肥厚型心肌病(HCM)患者的左心房应变(LAS),以预测运动耐量。
2018年1月至2021年1月期间,四川省人民医院共招募了97例行平板运动负荷超声心动图检查的HCM患者,并选取30名对照者纳入正常组。代谢当量(METS)≤6.0的HCM患者纳入HCM - 1组,METS>6.0的患者纳入HCM - 2组。分析LAS和运动耐量。筛选出可预测运动耐量降低的超声参数,并构建预测模型。
发现HCM患者的METS、静息LASr、静息LAScd和静息LASct显著低于正常对照组。HCM - 1组和HCM - 2组在年龄、目标心率、左心室质量指数、左心房容积指数、/'静息、/'峰值、静息LASr、静息LAScd和静息LASct方面存在显著差异。LASr是METS≤6.0的独立静息超声心动图预测指标。LASr在预测不同亚型(成人肥厚型心肌病、非对称性HCM和梗阻性HCM)时仍具有显著性。静息LASr(AUC 0.990)在预测METS≤6.0方面优于峰值/'(AUC 0.753)。建立了用于预测METS的多变量模型(LASr + 年龄 + 目标心率)。
左心房储存应变(LASr)与METS≤6.0的相关性最强。LASr是METS≤6.0的独立静息预测指标,在预测HCM不同亚型方面具有良好的表现记录。与传统参数峰值/'和静息/'相比,静息LASr是最佳预测指标。静息LASr可为无法进行运动试验但需要紧急评估METS的HCM患者提供可靠方法,为临床治疗决策和治疗效果评估提供依据。