Shenglei Shu1, Jing Wang1, and Xiaoyue Zhou2
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
Synopsis
The prognostic value of strain parameters
from cardiac magnetic resonance (CMR) cine images has been rarely studied in
patients with severe dilated cardiomyopathy (DCM). In this study, we retrospectively identified 129 patients with severe
DCM who underwent CMR. Strain and conventional CMR parameters were acquired
from baseline CMR. The prognostic value of CMR parameters and clinical
data for predicting adverse events was analyzed using Cox regression analyses.
Global circumferential strain (GCS) was independently associated with adverse
events after adjusting for clinical and imaging risk factors. GCS
from CMR feature-tracking could be useful for risk
stratification in patients with severe DCM.
Introduction
Myocardial fiber deformation measurements
with global circumferential strain (GCS) using echocardiography speckle
tracking or cardiac magnetic resonance (CMR) feature-tracking have been
associated with adverse outcomes in patients with acute heart failure and
myocardial infarction[1, 2].
However, few studies have addressed the prognostic value of GCS in patients
with dilated cardiomyopathy (DCM) with severely impaired systolic function.
This study aimed to evaluate the prognostic value of CMR-derived GCS in such
patients.Methods
Consecutive patients with DCM with severely
reduced ejection fraction (EF < 35%) who underwent CMR were retrospectively
collected. Feature-tracking GCS was calculated from three long-axis and
consecutive short-axis cine view. The clinical endpoint was a composite of
all-cause mortality, heart transplantation, implantable cardioverter
defibrillator (ICD) implantation, and aborted sudden cardiac death (SCD). Cox
proportional hazards regression modeling was used to evaluate the association
between GCS and adverse outcomes. Results
A total of 129 patients with a mean EF of 15.33%
(range 11.36%-22.27%) were included. During a median follow-up of 518 days,
endpoint events occurred in 50 patients, including 13 all-cause deaths, 20
heart transplantations, seven ICD implantations and 20 aborted sudden deaths.
Using a Kaplan-Meier analysis, patients with GCS ≥ the median (-5.17%) had
significantly reduced event-free survival compared with those with
GCS < the median (log-rank test, p < 0.01).The Cox
multivariable regression analysis revealed that GCS was independently
associated with adverse events (p < 0.05) after adjusting for clinical and
imaging risk factors including the extent of late gadolinium enhancement (LGE).
Adding GCS into the model including the extent of LGE resulted in significant
improvements in the C-
statistic (from 0.706 to
0.742; p < 0.05) with a continuous net reclassification improvement of
29.71% (95% confidence interval: -0.015 to 0.692).Discussion
The left ventricular (LV)
systolic function is a complex coordinated process involving longitudinal
contraction, circumferential shortening, and radial thickening. LV myocardial
contraction and relaxation were first impaired in the longitudinal direction,
and LV function might be compensated by circumferential shortening to maintain
EF[3]. The absolute
longitudinal value in patients with DCM with severely reduced EF (< 35%) was
much lower than that in patients with general DCM population described in a
previous study[4].
Additionally, no longitudinal strain difference was found between patients with
or without adverse events in our study. However, GCS was valuable in
distinguishing high-risk entities among the subgroup of patients with DCM with
severely reduced EF. More importantly, GCS showed significant associations with
adverse events independently of the presence or extent of LGE after adjusting
for clinical variables in the multivariable Cox regression models.Conclusions
GCS from CMR feature-tracking could be
useful for risk stratification in patients with DCM with severely reduced EF,
incremental to common imaging risk factors including LGE.Acknowledgements
None.References
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