Chunchao Xia1, Xiaoyue Zhou2, and Zhenlin Li1
1West China Hospital, Chengdu, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
Synopsis
During hypertrophic cardiomyopathy (HCM), left ventricular
(LV) diastolic dysfunction is regarded as one of the primary mechanisms
responsible for the main adverse cardiovascular events (MACEs). Early evaluation of LV diastolic function is of great
importance to risk stratification and management optimization in HCM patient populations.
Our study indicated that the cardiac magnetic resonance tissue tracking (CMR-TT)–derived
longitudinal global diastolic strain rate (PDSR) is a novel and easy-to-perform
index for evaluating LV diastolic dysfunction and predicting adverse outcomes
in HCM patient populations, which would also be beneficial for risk
stratification.
Introduction
Diastolic dysfunction acts as one of the primary
mechanisms responsible for the main adverse cardiovascular events (MACEs) in
hypertrophic cardiomyopathy (HCM). This study aimed to explore the potential
value of the global diastolic strain rate (PDSR) derived from cardiac magnetic
resonance tissue tracking (CMR-TT) in predicting adverse outcomes in an HCM patient
population.Methods
Ninety-eight HCM patients were enrolled and followed until
a specified endpoint. The endpoint event was designated as all-cause mortality
and heart failure (HF)–related mortality, including sudden cardiac death (SCD),
advanced HF or HF-related death, and stroke-related death. HCM patients were
divided into an obstructive subgroup (n = 44) and non-obstructive subgroup (n =
54). All CMR scans were completed in a 3-Tesla (3T) MR scanner (MAGNETOM Skyra;
Siemens Healthcare, Erlangen, Germany). CMR cine images were performed using a
segmented breath-hold acquisition method with fast gradient-echo readouts to
eliminate image artifacts caused by B0 inhomogeneity at 3T. MR data
were uploaded and analyzed on commercially available post-processing software (cvi42,
Version 5.2.2; Circle Cardiovascular Imaging, Inc., Calgary, Alberta, Canada). LV
global myocardial mechanics of all patients were assessed by the CMR-TT method
using CMR cine images.Results
Compared with the non-obstructive subgroup, the
obstructive subgroup had a declining magnitude of LV global radial,
circumferential, and longitudinal peak diastolic strain rates (PDSRs) at study enrollment
(all P < 0.05; Table
1). After a mean follow-up of 4.5 years, a total of 24 patients experienced
MACE. Furthermore, when applying the specified cut-off value of 0.33 1/s for
longitudinal PDSR, the Kaplan-Meier curve demonstrated that patients with lower
longitudinal PDSRs experienced a significantly higher incidence of MACE [WS1] when compared with their counterparts among the non-obstructive,
obstructive, and overall cohorts, respectively (all log-rank P < 0.05; Figure 1). Multivariable
analysis demonstrated that the longitudinal PDSR remained an independent
predictor of outcome despite adjusting for baseline and CMR variables (hazard
ratio: 3.17, 95% confidence interval: 1.20-8.37; P <
0.05) (Table 2).
[WS1]Please ensure that the intended meaning has been preserved with this
edit.Discussion
Our present study had several main findings which
included: 1) Patients with LV outflow tract obstruction (LVOTO) had magnitudes of
global PDSR in radial, circumferential, and longitudinal directions that were
worse than those of patients without LV outflow tract obstruction, indicating
that the presence of LVOTO in HCM adversely impacted the progression of diastolic
dysfunction; 2) During long-term follow-up, patients who experienced MACE
demonstrated decreased LV global PDSR. Lower LV global PDSR was related to a
higher frequency of MACE; and 3) The LV global PDSR served as an independent
predictor of adverse outcomes after adjusting for other confounding factors and
could be considered a novel index for risk stratification assessment in HCM
patients.Conclusions
CMR-TT-derived longitudinal PDSR could be used as a novel
and easy-to-perform marker for predicting adverse outcomes in HCM patients,
which would also be beneficial for risk stratification. Further confirmatory studies
are needed.Acknowledgements
This work was financially supported by the National Natural Science Foundation of China(81600299),1-3-5 project for disciplines of excellence of West China Hospital,Sichuan University(ZYGD18019)References
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