Yining Wang1,2, Kelvin Chow3, Jing An4, Shihua Zhao1, and Minjie Lu1,5
1Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, 2Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China, 3Siemens Healthineers, Los Angeles, CA, United States, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China
Synopsis
Keywords: Inflammation, Infiltration, Heart
Motivation: The prognostic value of T1 mapping and extracellular volume fraction (ECV) in acute myocarditis has not yet been supported by high-quality, evidence-based medicine.
Goal(s): To investigate the prognostic value of T1 mapping and ECV in patients with acute suspected myocarditis.
Approach: Patients meeting the recommended clinical criteria for suspected myocarditis were enrolled. The potential value for predicting MACE was explored using Cox proportional hazards models.
Results: Patients with MACE showed higher global native T1 and ECV z scores and were more likely to have tissue changes in interventricular septum. Quantitative mapping parameters have incremental prognostic value beyond clinical variables and conventional CMR parameters.
Impact: Our study reveals the prognostic predictive ability of native T1 and ECV
in myocarditis. The application of mapping techniques will further contribute
to the understanding of the pathophysiology of heart disease and will guide the
development of effective therapeutic approaches.
Introduction
Myocarditis
is a multifaceted, heterogeneous heart disease that has received widespread
attention in recent years(1).
Long-term follow-up studies of patients with acute myocarditis have shown that
approximately 10-52% of patients will regress to dilated cardiomyopathy, and 1-7
% of patients die. The currently recognized prognostic factor is late
gadolinium enhancement (LGE), and several large cohort studies have demonstrated
the prognostic efficacy of the amount of enhancement and certain specific
distributions and locations. However, LGE may not be able to detect subtle
diffuse myocardial fibrosis(2).
The Lake Louise
criteria (LLC) is the recommended diagnostic CMR imaging criteria for patients
with suspected myocarditis, and has been revised in 2018 with the
implementation of mapping techniques(3,4). T1 mapping and the
extracellular volume fraction (ECV) are capable of identifying diffuse and
subtle myocardial tissue changes and have been shown to have significant
prognostic efficacy in many cardiac diseases, but there is not yet high-quality
enquiry-based medical evidence for its value in the prognosis of myocarditis. Furthermore,
fewer prognostic studies of myocarditis have been conducted in Asian
populations to our knowledge. In this context, our study investigated the
predictive value of T1 mapping and ECV in patients with clinically suspected acute
myocarditis.Methods
Consecutive
patients with suspected myocarditis who underwent CMR were retrospectively
enrolled in this study. The inclusion criteria was based upon the clinical and
imaging diagnostic criteria given by the position statement of the European
Society of Cardiology (ESC) Working Group on Myocardial and Pericardial
Diseases (5). Patients were excluded if they had
evidence of coronary artery disease or other pre-existing cardiac disease or
systemic disease with interpretable symptoms.
The
identification of composite endpoint events was based on the electronic medical
record system of hospital or telephone interviews. The primary end point was a
composite of major adverse cardiovascular events (MACE) including cardiac
death, hospitalization for heart failure, heart transplantation, recurrent
myocarditis, and recorded sustained ventricular arrhythmia.
All patients
underwent CMR at 3.0 T scanners using a standardized,
routine imaging protocol. We averaged the native myocardial T1 measurements and
ECV fraction of all 16 segments to yield global T1 and ECV fraction values,
respectively (Figure 1). To
enable combined analysis of multicenter and multivendor data, the T1 and ECV
values were converted to z scores by using the cardiac MRI-specific reference
value. The native T1 and ECV values were converted into dichotomous variables according
to the cutoff values of 2 standard deviations (SD) above the mean of the
reference range, as well as ranking by 2n-times SD of the normal range.Results
235
consecutive patients met our final inclusion criteria. Median follow-up was 43.0±3.6
months. Of the 235 patients, 37 patients (15.7%) experienced MACE.
Of
all the patients, 196 had positive LGE (83.4%), with the distribution and pattern
of enhancement showed significant differences between the two groups. Anterior
LGE, right ventricle LGE, subendocardial LGE and transmural LGE was more
frequently observed in patients with MACE. The global native T1 and ECV z
scores were significantly higher in the MACE group compared with the No MACE
group (p=0.001). Although both groups showed elevated ECV and native T1 z score
in the inferolateral wall, as in the typical distribution pattern of LGE in
myocarditis, MACE group more frequently manifested with anterior wall and
septal cardiac tissue abnormalities (Figure
2). Global native T1 and ECV z
score were independently associated with subsequent MACE. Kaplan-Meier survival
curves showed that patients with LVEF <40%, transmural LGE, native T1 or ECV
higher than the mean plus 2 SD, 4 SD and 6 SD had significantly higher incidence
of MACE (Figure 3).
In multivariate
stepwise analyses, global ECV greater than 6 SD above the mean of the normal
range (ECV6SD) was the strongest prognostic factor, followed by LVEF<40%
and transmural LGE, respectively. Model 1 including the clinical variables sex,
age and diabetes mellitus predicted MACE with a chi-square test of 5.15 (p <
0.001) and Harrel’s C-index of 0.619. Model 2 including diabetes mellitus,
LVEF<40% and transmural LGE, the model chi-square test significantly
increased to 58.695 (p < 0.001) and C-index to 0.745. By adding ECV6SD
to model 2, the model chi-square test increased to 63.47 (p < 0.001) and
C-index to 0.796. ECV6SD was the strongest independent prognostic
factor in the univariate and multivariate analyses (Figure 4 and Central illustration). Conclusions
Quantitative
mapping parameters provide outstanding prognostic predictive capabilities,
presenting fresh insights into patient management from a histological
standpoint. Given its profound capacity for myocardial tissue characterization,
CMR stands out as a vital technique in identifying patients at risk for
myocarditis.Acknowledgements
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