期刊
INTERNATIONAL JOURNAL OF CARDIOLOGY
卷 370, 期 -, 页码 427-434出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijcard.2022.10.174
关键词
Prognostic; Strain; Strain rate; Late gadolinium enhancement; Hypertrophic cardiomyopathy
This study aimed to evaluate the additional prognostic values of myocardial strain/strain rate (SR) beyond late gadolinium enhancement (LGE) for risk stratification in hypertrophic cardiomyopathy (HCM) patients. The results showed that peak systolic (PS)-global longitudinal strain rate (GLSR) was independently associated with major adverse cardiovascular events (MACEs) and had stronger predictive ability. It also improved sensitivity and specificity compared to LGE/left ventricular (LV) mass.
Background: Late gadolinium enhancement (LGE) has some shortcomings in the risk stratification in hypertrophic cardiomyopathy (HCM). Myocardial strain/strain rate (SR) can be acquired from unenhanced cardiovascular magnetic resonance (CMR) images and detect cardiac dysfunction sensitively. The present study aimed to evaluate the additional prognostic values of myocardial strain/SR beyond LGE for the risk stratification in pa-tients with HCM.Methods: 293 patients with HCM who underwent CMR were enrolled in this prospective study. LGE/left ven-tricular (LV) mass, LV global strain, and SR were acquired based on CMR. Also, conventional clinical, echo-cardiography, and CMR parameters and established risk factors for HCM were evaluated.Results: 14/293 patients had major adverse cardiovascular events (MACEs) during the median follow-up of 15.0 months, including eight all-cause deaths, four resuscitated cardiac arrests and two cardiac transplantations. Peak systolic (PS)-global longitudinal SR (GLSR) was independently associated with MACEs (hazard ratio: 15.297, P < 0.001) after adjusting for conventional clinical characteristics, echocardiography, and CMR parameters. The model constructed by conventional variables plus PS-GLSR had significantly stronger predictive ability than the model constructed by conventional variables plus LGE/LV mass (C-statistic: 0.850 vs 0.708, P = 0.030). The addition of PS-GLSR to the conventional model also significantly improved the sensitivity (92.9% vs 71.4%) and specificity (71.0% vs 57.3%), and lowered false positives (81 patients vs 119 patients) compared to the addition of LGE/LV mass. Conclusion: LV PS-GLSR derived from CMR has the potential to be a novel biomarker for risk stratification of HCM and provide additional prognostic value over LGE/LV mass.
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