Matteo Fronza1, Paaladinesh Thavendiranathan1, Victor Chan1, Gauri Rani Karur1, Jacob A Udell1, Rachel M Wald1, Rachel Hong1, Kate Hanneman1. 1. From the Department of Medical Imaging (M.F., P.T., V.C., G.R.K., R.M.W., R.H., K.H.) and Division of Cardiology (P.T., J.A.U., R.M.W.), Toronto General Hospital, Peter Munk Cardiac Centre, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; and Department of Medical Imaging (M.F., P.T., V.C., G.R.K., R.M.W.) and Cardiovascular Division (J.A.U.), Women's College Hospital, University of Toronto, Toronto, Canada.
The pattern of myocardial injury in patients after COVID-19 vaccination at MRI
was similar to other causes of myocarditis, but with less severity.In a retrospective study of 92 patients with myocarditis, cardiac MRI
demonstrated a similar pattern of injury in 21 patients with myocarditis
following COVID-19 vaccination compared to other causes, including
subepicardial LGE.Myocardial abnormalities were less severe in patients with
vaccine-associated myocarditis (eg, less functional impairment, lower
native T1, and less frequent involvement of the septum) compared to
other forms of myocarditis.
Introduction
Myocarditis is a non-ischemic inflammatory disease of the myocardium, with diverse
causes, clinical patterns, and outcomes (1).
Characteristic features are inflammation and myocyte damage, which may be mediated
both by direct invasion of the myocardium in the setting of viral infection and by
the host's immune response (2). Acute
myocarditis is more common in men compared to women, although the incidence is
difficult to establish as the clinical presentation is often non-specific and
endomyocardial biopsy is not routinely performed (3).Myocarditis following immunization is a rare event which has received increased
attention recently due to reports of myocardial injury in a minority of patients
following administration of messenger RNA (mRNA) based COVID-19 vaccines (4,5). As
of December 2021, over 4.5 billion people worldwide have received a dose of COVID-19
vaccine (6). Therefore, serious adverse events
associated with administration of vaccines targeting COVID-19 are highly relevant to
the public, clinicians, and other policy makers, even if the incidence is rare.
Importantly, COVID-19 illness can also result in myocardial injury, which is
associated with adverse outcomes in hospitalized patients, and should be balanced
against the risk of vaccine-related complications (7,8).Cardiac MRI has an important role in the assessment of acute myocarditis with
unparalleled ability for non-invasive characterization of myocardial tissue (9). Several recent case series have described
MRI findings in hospitalized patients with myocarditis following COVID-19
vaccination (10-12). However, there are limited data on the extent of
myocardial injury in comparison to other causes of myocarditis, particularly in
non-hospitalized patients. Understanding the pattern and extent of myocardial injury
and its implications will allow for improved care of these patients and may help to
address vaccine hesitancy.The purpose of this study is to determine the pattern and extent of MRI findings in
myocarditis associated with COVID-19 vaccination and to compare these findings to
other causes of myocarditis.
Methods
Study Design and Participants
This retrospective cohort study was approved by the institutional ethics
committee and the requirement for written informed consent was waived.
Consecutive adult (≥18 years of age) hospitalized or non-hospitalized
patients who were referred to a tertiary hospital network for evaluation of
myocarditis by cardiac MRI between December 2019 and November 2021 were
identified. Inclusion criteria were fulfillment of 1) clinical presentation and
diagnostic testing criteria of the European Society of Cardiology diagnostic
criteria for clinically suspected myocarditis (13) and 2) both of the main revised Lake Louise criteria for
non-ischemic myocardial inflammation on MRI (at least one T1-based criteria and
at least one T2-based criteria, additional details in Appendix E1 (14).
Exclusion criteria included MRI performed for follow-up of
previously diagnosed myocarditis.Data on demographic characteristics, vaccine administration,
medications, blood test results, ECG parameters, and clinical outcomes were
extracted from the electronic patient record. Patients were
classified into one of three groups: COVID-19 vaccine associated myocarditis
(symptom onset within 14 days of vaccine administration with no other cause for
myocarditis identified), COVID-19 illness associated myocarditis (symptom onset
within 14 days of confirmed severe acute respiratory syndrome coronavirus 2
[SARS-COV-2] infection based on reverse-transcriptase-polymerase chain reaction
assays of nasopharyngeal swabs with no other cause for myocarditis identified),
and other myocarditis (all other patients meeting inclusion criteria
without temporally associated COVID-19 vaccine administration or
known COVID-19 illness) (15,16). Adverse
cardiac events were evaluated at short-term follow-up, including death,
arrhythmia (defined as sustained atrial or ventricular
arrhythmia lasting at least 30 seconds), and heart failure
hospitalization. Clinically available blood tests including high
sensitivity cardiac troponin I (hsTnI), B-type natriuretic peptide (BNP), and
C-reactive protein (CRP) were collected.
MRI Technique
Cardiac MRI studies were performed using 1.5 or 3 Tesla scanners (Magnetom
AVANTOfit/SKYRAfit, Siemens Healthineers, Siemens, Germany) with commercially
available cardiac surface coils. The MRI protocol included long-axis and a stack
of short-axis balanced cine steady state-free precession (bSSFP) slices (slice
thickness 8 mm and 2 mm inter-slice gap) and a stack of black-blood T2-weighted
spectral attenuated inversion-recovery (SPAIR) images at matching short-axis
locations. Late gadolinium enhanced (LGE) images were acquired using a 2D phase
sensitive inversion recovery technique starting 12 minutes after administration
of intravenous contrast (0.15 mmol/kg body weight of gadobutrol, Bayer
Healthcare, Berlin, Germany) (17). A
single mid-ventricular short-axis T1 and T2 mapping slice was acquired using a
modified Look-Locker Inversion Recovery (MOLLI) technique for native T1 mapping
(5(3)3 inversion grouping) (18) and a
matching T2 map using a T2-prep technique with read-out varying with external
field-strength (bSSFP at 1.5T and Fast Low Angle Shot [FLASH] at 3T) (19). Pixel based T1 and T2 maps were
automatically generated on the scanner with application of inline motion
correction algorithms.
MRI Analysis
MRI studies were analyzed independently by two experienced fellowship trained
observers [author initials blinded for review] who were blinded to all clinical
information using commercially available tools (Circle cmr42; Circle
Cardiovascular Imaging, Calgary, Canada). Ventricular volumes, function, and
mass were measured using semi-automated contour detection with manual correction
if required as per established standards (20). Global longitudinal, circumferential, and radial strain (GLS [3
long-axis views], GRS, and GCS [entire short-axis stack], respectively) were
calculated from bSSFP images using feature tracking strain analysis. Presence of
LGE and regional T2-weighted hyperintensity were evaluated visually (present or
not) globally and according to the AHA 17-segment model (21). For assessment of LGE, the predominant pattern was
classified as subendocardial, mid-wall, subepicardial, or transmural. LGE was
quantified using a signal-intensity threshold of 4 standard deviations (SD)
above visually normal reference myocardium, expressed in grams and as a
percentage of left ventricular mass. Source T1 and T2 mapping images were
examined for artifacts and any segments with artifact were excluded from
analysis. Septal T1 and T2 relaxation times were assessed by manually drawing a
region of interest at the mid-interventricular septum avoiding the right
ventricular insertion points and blood pool. Maximum T1 and T2 values were also
measured by manually drawing a region of interest in areas of visually maximum
myocardial values based on the color map, with a minimum region of interest size
of 0.5 cm2. As per current guidelines, abnormal maximum T1 and T2
values were defined as 2 SD above the mean of sequence specific local reference
values (high T2 defined as >52 ms at 1.5T and >45 ms at 3T; high T1 defined as
>1067 ms at 1.5T and >1289 ms at 3T) (22). To facilitate combined analysis of multi-scanner data, T1 and T2
values were converted to a z-score using scanner-specific local
reference values (patient value − mean of reference range)/(SD of
reference range) (23). In this case,
z-scores provide an assessment of how many SD each
patient's T1 or T2 value is above or below the mean for the normal range
for each scanner.
Statistical analysis
Categorical data are presented as counts (percentages) and continuous variables
as means (standard deviation) and medians (interquartile ranges [IQRs]). All
continuous data were tested for normal distribution using the Shapiro-Wilk test.
Comparisons between groups were conducted using one-way analysis of variance for
continuous variables with normal distribution and Kruskal-Wallis test for
continuous variables with non-normal distribution, with post hoc tests for
significance between groups using Bonferroni correction. Fisher's exact
test was used to compare categorical variables. We performed sensitivity
analyses restricting the vaccine associated group to those without a prior
history of COVID-19 infection and restricting the other myocarditis group to
those with a non-COVID-19 viral/post-infectious cause of myocarditis. Spearman
correlation analysis was used to evaluate associations between continuous
variables. Linear regression was used to evaluate the relationship between
continuous MRI parameters and patient group controlling for patient age, sex,
and length of time from symptoms to MRI. All tests were 2-tailed, and
P values less than .05 were considered statistically
significant. Analysis was performed using STATA software v14.1 (StataCorp,
College Station, Texas) and data were visualized with GraphPad Prism 9.0.2
(GraphPad Software, Inc., La Jolla, CA, USA).
Results
Patient Characteristics
Ninety-six patients were evaluated for eligibility. Four patients were excluded
as MRI was performed for follow-up of previously diagnosed myocarditis (Figure 1) leaving 92 patients (mean age,
41±18 years, 61% men), Table 1.
Twenty-one patients (23%) had COVID-19 vaccine associated myocarditis, of which
17 (81%) were male and mean (SD) age was 31 (14) years; 10 (11%) had myocardial injury following COVID-19 illness
and 61 (66%) had myocarditis not temporally associated with either COVID-19
vaccination or COVID-19 illness (non-COVID-19 viral/post-infectious in 19 [31%],
autoimmune in 8 [13%], drug related in 6 [10%], hyper-eosinophilic in 3 [5%],
and other/unknown in 25 [41%]). Patients with vaccine associated myocarditis
were younger and more frequently male compared to the other groups. The median
[IQR] interval between symptom onset and MRI was 11 [4-29] days.
Figure 1.
Flow chart detailing patient selection.
Table 1.
Patient Characteristics and Blood Test Results
Flow chart detailing patient selection.Patient Characteristics and Blood Test Results
COVID-19 Vaccine Associated Myocarditis
Among patients with vaccine associated myocarditis, symptom onset followed
administration of mRNA-1273 (Moderna) in 12 (57%) and BNT162b2 (Pfizer-BioNTech)
in 9 (43%) and occurred after administration of the second vaccine dose of a
2-dose series in 17 patients (81%). Those who had received two doses had a
median [IQR] interval between first and second doses of 33 [25-41] days. Two
patients had a remote history of COVID-19 illness, both of whom had mild disease
severity and recovered at home with interval between COVID-19 diagnosis and
vaccine administration of 111 days and 155 days. Chest pain occurred in all 21
patients and started at median [IQR] of 3 [1-7] days after vaccination and
lasted 1 to 6 days. Fourteen patients (67%) were admitted to hospital with
median [IQR] length of stay of 3 [2-5] days. No patients were admitted to the
intensive care unit. Ten patients were treated with colchicine (48%), seven with
aspirin (35%), four with ibuprofen (20%), and one with steroids (5%). Troponin
levels were elevated in all patients admitted to hospital (>26 pg/mL) and
substantially decreased by the time of discharge (median [IQR] 2723 [1500-5772]
pg/mL vs 49 [0-205] pg/mL; P =0.001).
Cardiac MRI of patients with Vaccine Associated Myocarditis
MRI characteristics are provided in Table
2. Abnormal MRI findings among patients with myocarditis following
COVID-19 vaccination included LGE in 17 (81%), high T1 in 14 (67%), high T2 in
16 (76%), hyperintense signal on T2-weighted imaging in 15 (79%), and systolic
left ventricular dysfunction (LVEF <55%) in 6 (29%), Figure 2. In all patients, at least one T2-based
abnormality co-localized within the same myocardial segment as a T1-based
abnormality, including LGE. None of the MRI parameters differed significantly
between vaccine types.
Table 2.
Cardiac MRI Findings
Figure 2.
COVID-19 vaccine associated myocarditis. Short-axis 1.5T MRI images and
ECG findings of a 19-year-old man with myopericarditis who presented
with chest pain 3 days following the second dose of an mRNA COVID-19
vaccine (mRNA-1273). Cardiac MRI performed 2 days after symptom onset
demonstrates mid wall to subepicardial late gadolinium enhancement (LGE)
at the basal to mid inferior lateral wall with adjacent pericardial
enhancement (A, red arrow), corresponding hyperintensity on T2-weighted
imaging (B, orange arrows), abnormal high native T1 (C, 1095 ms, maximum
region of interest), and abnormal high native T2 (D, 57 ms, maximum
region of interest). The ECG demonstrates diffuse concave upward ST
segment elevation except in leads aVR and V1, upright T waves in the
leads with ST segment elevation, and PR depression, consistent with
pericarditis (E). Peak high sensitivity troponin-I was 5772 pg/mL. He
was admitted to hospital and was discharged after two days following
complete resolution of his symptoms. At short-interval follow-up he was
asymptomatic with normal troponin levels.
Cardiac MRI FindingsCOVID-19 vaccine associated myocarditis. Short-axis 1.5T MRI images and
ECG findings of a 19-year-old man with myopericarditis who presented
with chest pain 3 days following the second dose of an mRNA COVID-19
vaccine (mRNA-1273). Cardiac MRI performed 2 days after symptom onset
demonstrates mid wall to subepicardial late gadolinium enhancement (LGE)
at the basal to mid inferior lateral wall with adjacent pericardial
enhancement (A, red arrow), corresponding hyperintensity on T2-weighted
imaging (B, orange arrows), abnormal high native T1 (C, 1095 ms, maximum
region of interest), and abnormal high native T2 (D, 57 ms, maximum
region of interest). The ECG demonstrates diffuse concave upward ST
segment elevation except in leads aVR and V1, upright T waves in the
leads with ST segment elevation, and PR depression, consistent with
pericarditis (E). Peak high sensitivity troponin-I was 5772 pg/mL. He
was admitted to hospital and was discharged after two days following
complete resolution of his symptoms. At short-interval follow-up he was
asymptomatic with normal troponin levels.Peak hsTnI correlated significantly with maximum native T2 z-score
(r=0.50; P=.040), LVEF
(r=-0.58; P=.015), GCS
(r = 0.66;
P = .005), and GRS
(r = -0.59;
P = .013), but not with maximum native T1
z-score, LGE extent, or GLS.
Comparison to COVID-19 and Other Causes of Myocarditis
Compared with patients with other causes of myocarditis, patients with vaccine
associated myocarditis had significantly higher LVEF and RVEF, less impaired
GLS, GCS and GRS, lower native T1, and less extensive LGE, Figure 3, Table
2. Differences in LVEF, GLS, GCS, GRS, native T1, and LGE extent remained
significant even after controlling for patient age, sex, and interval between
symptom onset and imaging (Table 3).
Compared to patients with COVID-19 illness, patients with vaccine associated
myocarditis had higher LVEF, less regional wall motion abnormalities, and lower
native T1. Differences in LVEF remained significant even in the multivariable
model. In all three patient groups, the most frequent pattern of LGE was
subepicardial and the most frequent myocardial segment involved was the basal
inferolateral wall, Figure 4. However,
patients with COVID-19 illness and other myocarditis had a higher prevalence of
abnormalities involving the basal to mid anterior and inferior septum, while
patients with vaccine associated myocarditis rarely had abnormalities involving
the anterior wall or septum. There were no significant differences in blood
biomarkers or ECG parameters between groups.
Figure 3.
Scatterplots of (A) LVEF, (B) LGE, (C) Native T1, and (D) Native T2 by
Group. Graphs for MRI parameters depict individual patient data points
with error bars displayed as median and interquartile range. There were
significant differences in maximum native T1 z-score, maximum native T2
z-score, and LGE extent (as a percentage of left ventricular mass)
between patients with vaccine associated myocarditis (vaccine) and
patients with other myocarditis (other), denoted with
***. All other comparisons between patients with
vaccine associated myocarditis and patients with COVID-19 illness
(COVID-19) or other myocarditis were not significant, denoted with ns.
LGE, late gadolinium enhancement; LVEF, left ventricular ejection
fraction.
Table 3.
Univariable and Multivariable Linear Regression Parameters with Vaccine
Associated Myocarditis as the Reference Group
Figure 4.
Segmental Distribution of MRI abnormalities. Color shaded bulls-eye plots
represent the percentage of patients in each patient group with late
gadolinium enhancement (LGE) and/or hyperintensity on T2-weighted
imaging for each myocardial segment according to a standardized
17-segment model. COVID-19 vaccine, patients with vaccine associated
myocarditis; COVID-19 illness, patients recovered from COVID-19; other
myocarditis, patients with other causes of myocarditis.
Univariable and Multivariable Linear Regression Parameters with Vaccine
Associated Myocarditis as the Reference GroupScatterplots of (A) LVEF, (B) LGE, (C) Native T1, and (D) Native T2 by
Group. Graphs for MRI parameters depict individual patient data points
with error bars displayed as median and interquartile range. There were
significant differences in maximum native T1 z-score, maximum native T2
z-score, and LGE extent (as a percentage of left ventricular mass)
between patients with vaccine associated myocarditis (vaccine) and
patients with other myocarditis (other), denoted with
***. All other comparisons between patients with
vaccine associated myocarditis and patients with COVID-19 illness
(COVID-19) or other myocarditis were not significant, denoted with ns.
LGE, late gadolinium enhancement; LVEF, left ventricular ejection
fraction.Segmental Distribution of MRI abnormalities. Color shaded bulls-eye plots
represent the percentage of patients in each patient group with late
gadolinium enhancement (LGE) and/or hyperintensity on T2-weighted
imaging for each myocardial segment according to a standardized
17-segment model. COVID-19 vaccine, patients with vaccine associated
myocarditis; COVID-19 illness, patients recovered from COVID-19; other
myocarditis, patients with other causes of myocarditis.
Sensitivity Analysis
Conclusions of our primary analyses were unchanged upon removing the 2 patients
with vaccine associated myocarditis with a prior history of COVID-19 illness
(Table E1) and when the other
myocarditis group was restricted to patients with non-COVID-19
viral/post-infectious myocarditis (Table
E2).
Table E1.
Patients Vaccine Associated Myocarditis with Prior COVID-19
Infection (n=2) Removed from the Analysis
Table E2.
Other Myocarditis Group Restricted to Those with Non-COVID-19
Viral Infectious Cause of Myocarditis
Follow-up
All patients with vaccine associated myocarditis had short-term clinical
follow-up with median [IQR] follow-up duration of 22 [7-49] days. At follow-up,
all 21 patients (100%) were asymptomatic, 8 (38%) had normal troponin levels,
and 9 (43%) had reduced but still mildly elevated troponin levels (follow-up
troponin levels were not available in 4 patients). Of the patients with impaired
LVEF on MRI, 4/6 had subsequent transthoracic echocardiography or follow-up MRI
which demonstrated normal LVEF in all. No patient with vaccine associated
myocarditis had an adverse cardiac event over short-term follow-up.Among patients with COVID-19 illness and other myocarditis, 7 and 42 had clinical
follow-up with median [IQR] follow-up duration of 211 [94-295] days and 195
[87-415] days, respectively. Patients with COVID-19 illness had 3 MACE events (1
hospitalization for heart failure and 2 arrhythmia events [one patient
subsequently had an ICD implanted]) while patients with other myocarditis had 5
MACE events (2 hospitalizations for heart failure and 3 arrythmia events [4
patients subsequently had an ICD implanted]). There were no deaths in any group.
As expected, the follow-up duration for the other two groups was much longer
than for the vaccine group, given the relatively short time interval over which
COVID-19 vaccines have been administered.
Discussion
In this retrospective cohort study of 92 patients meeting both clinical and imaging
diagnostic criteria for acute myocarditis, we identified 21 patients with
myocarditis following COVID-19 vaccine administration who were younger and more
frequently male compared to 10 patients who had recovered from COVID-19 illness and
61 patients with other causes of myocarditis. To our knowledge this is the first
report of cardiac MRI findings in both hospitalized and non-hospitalized patients
with myocarditis following COVID-19 vaccination in comparison to patients with other
causes of myocarditis including COVID-19 illness. Abnormal MRI findings among
patients with myocarditis following COVID-19 vaccination included LGE in 81%, high
T1 in 67%, high T2 76%, and systolic left ventricular dysfunction in 29%. MRI
revealed a similar pattern of myocardial injury in patients with myocarditis
following COVID-19 vaccination compared to other causes, including subepicardial LGE
and edema at the basal inferior lateral wall, although patient demographics differed
and abnormalities were less severe. Patients with vaccine associated myocarditis had
higher left ventricular ejection fraction and lower native T1 values compared to
those with COVID-19 illness and other causes of myocarditis, and demonstrated rapid
clinical improvement with no adverse events over short-term follow-up.Our observations are concordant with case series of hospitalized patients showing
that most patients with vaccine associated myocarditis are younger men presenting
after the second dose, with frequent presence of LGE and myocardial edema on MRI,
and rapid improvement in clinical symptoms on short-term follow-up (10,11,24). Other MRI findings in our
cohort included high T1 and T2 mapping values and impaired myocardial strain. T1 and
T2 mapping are quantitative tissue characterization techniques that provide
complementary information, particularly in the setting of myocardial inflammation.
High T2 is specific for increased tissue water and can discriminate between active
and healed myocarditis (25). Native T1 is
also elevated in the setting of edema, although unlike T2, this change is not
specific for acute inflammation and can alternatively reflect fibrosis or
infiltration. This might account for the significant correlation of peak troponin
with native T2 but not with native T1 in our study.Unlike prior reports, our findings also demonstrate that myocardial injury is
detectable in patients with acute myocarditis not requiring hospital admission and
that the severity of MRI abnormalities is milder in general compared to patients
with other causes of myocarditis, even after controlling for age, sex and interval
between symptom onset and imaging. Patients with myocarditis following COVID-19
illness had lower LVEF, higher prevalence of regional left ventricular dysfunction,
and higher native T1 compared to those with vaccine associated myocarditis, although
other MRI parameters did not differ significantly. This suggests that the imaging
phenotype of patients with COVID-19 related myocardial injury may be intermediate
between vaccine associated myocarditis and other causes.Presentation after the second vaccine dose or after the first dose in the context of
prior SARS-CoV-2 infection in most patients indicates that prior exposure is
relevant and necessitates continued surveillance for post-vaccination myocarditis
particularly following booster doses. Although non-mRNA vaccines were also
administered in Canada, all patients with vaccine associated myocarditis in our
cohort presented after administration of an mRNA-based COVID-19 vaccine. The
mechanisms by which the host's immunologic response to mRNA-based COVID-19
vaccines could lead to myocarditis in a small minority of patients warrants further
study, particularly given that other mRNA-based vaccines and therapies are in
development (26,27).Milder MRI abnormalities in patients with vaccine associated myocarditis compared to
other causes raises the possibility that this group may have a lower future adverse
event rate. Lack of any adverse events in our patients with vaccine associated
myocarditis over short-term follow-up is reassuring. However, longer term follow-up
is needed, particularly given the association of LGE with adverse cardiac events in
non-vaccine associated myocarditis (28,29). Interestingly, one prior study found that
patchy and mid-wall, but not subepicardial, patterns of LGE were associated with
adverse events in patients with non-vaccine myocarditis (30). Similarly, septal but not lateral LGE location was
associated with major adverse cardiac events (30). This requires further investigation given that the majority of
patients with vaccine associated myocarditis in our study had a subepicardial
pattern of LGE with a predilection for the basal to mid lateral wall and infrequent
involvement of the septum, which may be associated with relatively favorable
outcomes. LGE usually reflects fibrosis in ischemic and non-ischemic
cardiomyopathies; however, in patients with acute myocarditis it often reflects an
increased volume of distribution of gadolinium-based contrast agent in the affected
region related to myocyte necrosis and edema. In all patients with vaccine
associated myocarditis, LGE co-localized with edema in at least one segment, which
is associated with better prognosis compared to isolated LGE without
T2-hyperintensity, and confers the possibility of recovery as edema improves with
time (31).Our study has limitations including a modest sample size and short-interval follow-up
among patients with myocarditis following vaccination. More than one MRI scanner was
used for imaging which impacts quantitative parametric mapping. To address this, we
interpreted mapping values in the context of scanner specific local reference ranges
and calculated z-scores for T1 and T2 values. The timing of MRI
after symptom onset varied which could impact detection of myocardial edema, as MRI
markers of edema typically demonstrate rapid improvement during the first few weeks
after symptom onset (32). There were also
significant differences in patient age and sex between groups. Although we adjusted
for age, sex and timing of imaging in our analysis, it is possible that this did not
fully account for differences between groups. Only mid-ventricular T1 and T2 mapping
slices were examined, which could underestimate maximum T1 and T2 values if regional
disease was only present in other areas of myocardium. However, LGE and T2-weighted
imaging were performed with coverage of the entire myocardium from base to apex.
This may account for the overall slightly higher prevalence of abnormalities on LGE
and T2-weighted imaging compared to T1 and T2 mapping, respectively. As this was not
a population-based study, we could not calculate the incidence of vaccine associated
myocarditis. There is no standardized definition of vaccine associated myocarditis
or COVID-19 related myocardial injury in the literature to date with respect to the
timing of symptom onset after vaccine administration or COVID-19 diagnosis. For
consistency, we used the same 14-day interval between vaccination and COVID-19
diagnosis to symptom onset to define both groups. Finally, histologic confirmation
of myocarditis was not available as endomyocardial biopsy is not frequently
performed at our center unless there is clinical evidence that the results will have
a meaningful effect on therapeutic decisions (33). Our findings should be confirmed in future large, multi-center
studies with longer term follow-up.In conclusion, our study demonstrates that the pattern of MRI abnormalities in
vaccine associated myocarditis is similar to other causes although patient
demographics differ and MRI findings tend to be less severe. Overall, our study
findings are generally consistent with an imaging phenotype with good prognosis;
however, further studies are needed to examine the long-term effects of mRNA-based
COVID-19 vaccination on the heart, determine the risk associated with booster doses,
and inform recommendations for vaccination in patients with a history of
myocarditis.
Authors: Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani Journal: Circulation Date: 2002-01-29 Impact factor: 29.690
Authors: Leslie T Cooper; Kenneth L Baughman; Arthur M Feldman; Andrea Frustaci; Mariell Jessup; Uwe Kuhl; Glenn N Levine; Jagat Narula; Randall C Starling; Jeffrey Towbin; Renu Virmani Journal: J Am Coll Cardiol Date: 2007-11-06 Impact factor: 24.094
Authors: John R Su; Michael M McNeil; Kerry J Welsh; Paige L Marquez; Carmen Ng; Ming Yan; Maria V Cano Journal: Vaccine Date: 2021-01-06 Impact factor: 3.641
Authors: Vanessa M Ferreira; Jeanette Schulz-Menger; Godtfred Holmvang; Christopher M Kramer; Iacopo Carbone; Udo Sechtem; Ingrid Kindermann; Matthias Gutberlet; Leslie T Cooper; Peter Liu; Matthias G Friedrich Journal: J Am Coll Cardiol Date: 2018-12-18 Impact factor: 24.094
Authors: Paaladinesh Thavendiranathan; Lili Zhang; Amna Zafar; Zsofia D Drobni; Syed S Mahmood; Marcella Cabral; Magid Awadalla; Anju Nohria; Daniel A Zlotoff; Franck Thuny; Lucie M Heinzerling; Ana Barac; Ryan J Sullivan; Carol L Chen; Dipti Gupta; Michael C Kirchberger; Sarah E Hartmann; Jonathan W Weinsaft; Hannah K Gilman; Muhammad A Rizvi; Bojan Kovacina; Caroline Michel; Gagan Sahni; Ana González-Mansilla; Antonio Calles; Francisco Fernández-Avilés; Michael Mahmoudi; Kerry L Reynolds; Sarju Ganatra; Juan José Gavira; Nahikari Salterain González; Manuel García de Yébenes Castro; Raymond Y Kwong; Michael Jerosch-Herold; Otavio R Coelho-Filho; Jonathan Afilalo; Eduardo Zataraín-Nicolás; A John Baksi; Bernd J Wintersperger; Oscar Calvillo-Arguelles; Stephane Ederhy; Eric H Yang; Alexander R Lyon; Michael G Fradley; Tomas G Neilan Journal: J Am Coll Cardiol Date: 2021-03-30 Impact factor: 24.094
Authors: Felipe Sanchez Tijmes; Paaladinesh Thavendiranathan; Jacob A Udell; Michael A Seidman; Kate Hanneman Journal: Radiol Cardiothorac Imaging Date: 2021-11-18
Authors: Han W Kim; Elizabeth R Jenista; David C Wendell; Clerio F Azevedo; Michael J Campbell; Stephen N Darty; Michele A Parker; Raymond J Kim Journal: JAMA Cardiol Date: 2021-10-01 Impact factor: 30.154
Authors: Jay Montgomery; Margaret Ryan; Renata Engler; Donna Hoffman; Bruce McClenathan; Limone Collins; David Loran; David Hrncir; Kelsie Herring; Michael Platzer; Nehkonti Adams; Aliye Sanou; Leslie T Cooper Journal: JAMA Cardiol Date: 2021-10-01 Impact factor: 30.154
Authors: Constantin A Marschner; Kirsten E Shaw; Felipe Sanchez Tijmes; Matteo Fronza; Sharmila Khullar; Michael A Seidman; Paaladinesh Thavendiranathan; Jacob A Udell; Rachel M Wald; Kate Hanneman Journal: Cardiol Clin Date: 2022-05-06 Impact factor: 2.410
Authors: Karuna M Das; Taleb Al Mansoori; Ali Al Shamisi; Usama Mh AlBastaki; Klaus V Gorkom; Jamal Aldeen Alkoteesh Journal: Diagnostics (Basel) Date: 2022-04-20
Authors: Muhammad Mustafa Alhussein; Mohamad Rabbani; Bradley Sarak; Steven Dykstra; Dina Labib; Jacqueline Flewitt; Carmen P Lydell; Andrew G Howarth; Neil Filipchuck; Angela Kealey; Jillian Colbert; Nita Guron; Louis Kolman; Naeem Merchant; Murad Bandali; Mike Bristow; James A White Journal: Can J Cardiol Date: 2022-08-06 Impact factor: 6.614
Authors: Jan Gröschel; Yashraj Bhoyroo; Edyta Blaszczyk; Ralf Felix Trauzeddel; Darian Viezzer; Hadil Saad; Maximilian Fenski; Jeanette Schulz-Menger Journal: Front Cardiovasc Med Date: 2022-07-14