OBJECTIVES

To assess the prevalence of residual cardiovascular pathology by cardiac MRI (CMR), ambulatory rhythm monitoring, and cardiopulmonary exercise testing (CPET) in patients ∼6 months after multisystem inflammatory disease in children (MIS-C).

METHODS

Patients seen for MIS-C follow-up were referred for CMR, ambulatory rhythm monitoring, and CPET ∼6 months after illness. Patients were included if they had ≥1 follow-up study performed by the time of data collection. MIS-C was diagnosed on the basis of the Centers for Disease Control and Prevention criteria. Myocardial injury during acute illness was defined as serum Troponin-I level >0.05 ng/mL or diminished left ventricular systolic function on echocardiogram.

RESULTS

Sixty-nine of 153 patients seen for MIS-C follow-up had ≥1 follow-up cardiac study between October 2020–June 2022. Thirty-seven (54%) had evidence of myocardial injury during acute illness. Of these, 12 of 26 (46%) had ≥1 abnormality on CMR, 4 of 33 (12%) had abnormal ambulatory rhythm monitor results, and 18 of 22 (82%) had reduced functional capacity on CPET. Of the 37 patients without apparent myocardial injury, 11 of 21 (52%) had ≥1 abnormality on CMR, 1 of 24 (4%) had an abnormal ambulatory rhythm monitor result, and 11 of 15 (73%) had reduced functional capacity on CPET. The prevalence of abnormal findings was not statistically significantly different between groups.

CONCLUSIONS

The high prevalence of abnormal findings on follow-up cardiac studies and lack of significant difference between patients with and without apparent myocardial injury during hospitalization suggests that all patients treated for MIS-C warrant cardiology follow-up.

What’s Known on This Subject:

Cardiovascular involvement is common in multisystem inflammatory disease in children. Studies have shown abnormalities on follow-up cardiac MRI in patients with myocardial injury during illness. The extent of residual cardiovascular pathology in patients with and without myocardial injury remains unknown.

What This Study Adds:

Patients both with and without myocardial injury during acute illness had abnormal findings on follow-up cardiac studies with similar prevalence. All patients treated for multisystem inflammatory disease in children warrant cardiology follow-up.

Multisystem inflammatory syndrome in children (MIS-C) is a postinfectious hyperinflammatory response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that typically occurs several weeks after acute infection. It is characterized by fever, elevated inflammatory markers, cytokine storm, and involvement of multiple organs.13  Up to 80% of patients have cardiovascular involvement, including abnormal laboratory markers, systolic and diastolic dysfunction, abnormal strain, coronary artery aneurysms (CAAs), and conduction system abnormalities.46  Cardiogenic and vasodilatory shock are common, potentially requiring inotropic support, but rarely mechanical circulatory support.3,4,7 

Most patients appear to make a full clinical recovery.1,5,810  However, the prevalence and severity of long-term cardiovascular sequelae remain unknown. This may have important implications for activity restrictions and longer-term follow-up. Several studies have assessed midterm (1–9 months postdischarge) cardiac MRI (CMR) findings in patients who had evidence of cardiac involvement during acute illness. Although some have shown evidence of edema or fibrosis in a minority of patients, others have demonstrated no significant abnormalities.1116  Few studies have assessed the prevalence of abnormal CMR findings in patients both with and without evidence of myocardial injury during acute illness.11,17  Furthermore, little is known about other residual cardiovascular pathology, including abnormal exercise capacity and risk for arrhythmia.

The primary purpose of this study was to assess the prevalence of residual cardiovascular pathology in patients treated for MIS-C by CMR, ambulatory rhythm monitoring, and cardiopulmonary exercise stress testing (CPET) at a median time of 7 to 8 months after hospitalization. Our secondary aim was to compare the prevalence of these findings in patients with evidence of myocardial injury during hospitalization versus those without evidence of myocardial injury.

The study was approved by the institutional review board of Children’s Hospital Los Angeles (CHLA). All patients seen in the cardiology clinic at CHLA for MIS-C follow-up were included if they had at least 1 follow-up study (CMR, ambulatory rhythm monitoring, or CPET) between October 2020 and June 2022. One patient found to have an atrial arrhythmia during admission that later required ablation was excluded. MIS-C was diagnosed on the basis of the Centers for Disease Control and Prevention criteria.18  All patients had positive SARS-CoV-2 serum antibody.1  Patients were defined as having myocardial injury during acute illness if they had a serum Troponin-I of >0.05 ng/mL or diminished left ventricular (LV) function by ejection fraction (left ventricular ejection fraction [LVEF]) or fractional shortening (FS) on echocardiogram. All patients seen for follow-up were restricted from strenuous exercise from the time of hospital discharge until follow-up testing was completed.

We abstracted clinical data from each patient’s electronic medical record, including demographic factors, anthropometric measurements, need for intensive care, medications, laboratory markers of myocardial stress, and laboratory evidence of SARS-CoV-2 infection. Race and ethnicity were self-reported and were included to better understand whether certain populations were more likely to be affected by MIS-C and associated complications. We assessed inpatient electrocardiograms (ECGs) for ST- or T-wave segment abnormalities, conduction abnormalities, ectopy, and arrhythmia.

Standard two-dimensional echocardiography was performed according to American Society of Echocardiography guidelines.19  Systolic dysfunction was defined as LVEF <55% or FS <29%. On the basis of Boston Children’s Hospital z scores,20  coronary artery sizes were classified as z score ≤2: normal; >2 to 2.5: coronary artery dilation; ≥2.5 to 5: small CAA; ≥5 to 10: medium CAA; and ≥10 or absolute measurement ≥8 mm: giant CAA. We recorded worst LVEF, worst FS, and highest coronary artery z score during hospitalization. We also evaluated these measurements on the last echocardiogram before discharge and at a 6- to 8-week outpatient follow-up visit.

Patients were referred for CMR at ∼6 months after acute illness if they were able to undergo the procedure without sedation. Younger patients who required anesthesia were referred for CMR if there was clinical indication, including history of decreased systolic function, history of complex or giant CAA, or, in 1 case, in combination with a clinically indicated brain MRI. Patients were also referred for CPET at ∼6 months after acute illness if they were developmentally able to participate in the testing. An ambulatory rhythm monitor was placed at the time of either CMR, CPET, or follow-up clinic visit.

CMR was performed on a 1.5 Tesla Philips Achieva scanner before and after a 0.1 mL/kg intravenous gadolinium infusion. Imaging was performed with patients awake and with breath holding if capable. Otherwise, images were obtained freely breathing with multiple signal averages to compensate for respiratory motion. Retrospective ECG gating was performed to compensate for cardiac motion. Ventricular volumes and EFs were calculated from short-axis cine images using Simpson’s method. T1 relaxation time pre and postcontrast (indicative of edema, hyperemia, or fibrosis), T2 relaxation time (indicative of edema), and extracellular volume (ECV) (indicative of edema, hyperemia, or fibrosis in the extracellular space) were measured on short-axis images of the LV using parametric mapping. Late gadolinium enhancement (LGE) (indicative of fibrosis) was evaluated on short-axis and 4-chamber images 10 minutes after contrast administration. CAAs were evaluated on three-dimensional steady-state free precession images. Precontrast T1 >1068 milliseconds, T2 >59 milliseconds, and ECV >30% were considered elevated on the basis of published normative values for a 1.5T Philips scanner.21,22 

Ambulatory heart rhythm monitoring was performed with a Zio patch monitor (iRhythm Technologies, San Francisco, CA) worn at home for up to 14 days. All results were interpreted by an electrophysiologist (M.S.). Minimum, maximum, and average heart rate (HR), burden of ectopy, and occurrence of arrhythmia were assessed. Results were classified as abnormal for ≥3 beats of atrial or ventricular tachycardia; intermediate for accelerated idioventricular rhythm (AIVR), ventricular couplets, or elevated average HR for age; or normal for isolated atrial or ventricular ectopy accounting for <1% of total heart beats or presence of atrial couplets with normal average HR for age.

CPET was performed using an upright cycle ergometer for patients with height ≥135 cm or treadmill for those <135 cm. Measurement of oxygen uptake and carbon dioxide output at rest and exercise was performed using a CareFusion Vmax metabolic cart (CareFusion, San Diego, CA). Preexercise spirometry was performed. HR was measured using a Cardiosoft 12-lead ECG system (CardioSoft, Houston, TX). Blood pressures were measured before, during, and after exercise using the Suntech Tango M2 (SunTech Medical, Inc, Morrisville, NC). Peak HR, respiratory exchange ratio (RER), and minute ventilation/carbon dioxide production slope were recorded. For patients with an adequate RER (>1.09), peak oxygen uptake and percent-predicted were also recorded. Peak oxygen uptake of <80% predicted was considered abnormal and reflective of reduced functional capacity. In patients who achieved a peak HR ≥180 beats per minute, the ECG tracing was assessed for ST-segment and T-wave changes and presence of ectopy with exercise. Studies were excluded for patients who neither achieved an adequate RER nor peak HR. Stress echocardiogram was performed for patients who performed CPET using the cycle ergometer. Ventricular function was assessed at rest, and augmentation of myocardial wall segments was assessed during exercise.

We performed all statistical analyses using JMP Pro statistical software version 16 (SAS, Carey, NC). Descriptive statistics are expressed as frequency counts and percentages for categorial variables. Continuous variables are expressed as mean (SD) for normally distributed variables or median with interquartile range for nonnormally distributed variables. We assessed normality using the Shapiro-Wilk test. For comparison of continuous variables between patients with myocardial injury and those without myocardial injury, we performed a 2-sided student’s t test and 95% confidence interval for normally distributed continuous variables and Wilcoxon rank-sum test for nonnormally distributed variables. For comparison of categorical variables, we performed Pearson’s χ2 test and odds ratio. Fisher’s exact test was performed in cases where at least 1 cell had a count <5. The threshold for significance was set at α = .05 for all tests.

One hundred fifty-three patients were seen at least once after hospitalization during the study period. Fifty-one patients were lost to follow-up (33% with myocardial injury) and 33 patients had testing performed or pending after data analysis was completed. Sixty-nine patients had at least 1 follow-up cardiac study performed and were included in the analysis. Demographic information is shown in Table 1. Baseline cardiac data from initial hospitalization and 6 to 8-week follow-up are shown in Table 2.

TABLE 1

Demographic Information

All Patients, n = 69No Myocardial Injury, n = 32 (46%)Myocardial Injury, n = 37 (54%)P
Age (y) 10 (4.6) 8.9 (4.4) 10.9 (4.5) .07 
Sex    .76 
 Male 44 (64%) 21 (66%) 23 (62%)  
 Female 25 (36%) 11 (34%) 14 (37%)  
Race/ethnicity    .24 
 Hispanic 52 (75%) 22 (69%) 30 (81%)  
 White 5 (7%) 3 (9%) 2 (5%)  
 Black 2 (3%) 1 (3%) 1 (3%)  
 Asian American 1 (1%) 1 (3%) 0 (0%)  
 Multiple 3 (4%) 2 (6%) 1 (3%)  
 Unknown 6 (9%) 3 (9%) 3 (9%)  
Weight at admission (kg) 43.3 (IQR 25–64.5) 35.5 (IQR 23.4–56.1) 51.3 (IQR 33.8–77.8) .03 
Height at admission (cm) 142 (IQR 125–161.8) 132.3 (IQR 122.3–154.7) 147.3 (IQR 131.5–164.3) .07 
BMI at admission (kg/m221.4 (IQR 17.5–26.1) 19.9 (IQR 16–22.6) 23.3 (IQR 17.9–28.9) .06 
BMI category    .44 
 Normal 31 (45%) 17 (53%) 14 (38%)  
 Overweight 12 (17%) 5 (16%) 7 (19%)  
 Obese 26 (38%) 10 (31%) 16 (43%)  
SARS-CoV-2 PCR    .35 
 Positive 12 (18%) 4 (13%) 8 (22%)  
 Negative 56 (82%) 28 (88%) 28 (78%)  
SARS-CoV-2 IgG antibody    — 
 Positive 69 (100%) 32 (100%) 37 (100%)  
 Negative 0 (0%) 0 (0%) 0 (0%)  
All Patients, n = 69No Myocardial Injury, n = 32 (46%)Myocardial Injury, n = 37 (54%)P
Age (y) 10 (4.6) 8.9 (4.4) 10.9 (4.5) .07 
Sex    .76 
 Male 44 (64%) 21 (66%) 23 (62%)  
 Female 25 (36%) 11 (34%) 14 (37%)  
Race/ethnicity    .24 
 Hispanic 52 (75%) 22 (69%) 30 (81%)  
 White 5 (7%) 3 (9%) 2 (5%)  
 Black 2 (3%) 1 (3%) 1 (3%)  
 Asian American 1 (1%) 1 (3%) 0 (0%)  
 Multiple 3 (4%) 2 (6%) 1 (3%)  
 Unknown 6 (9%) 3 (9%) 3 (9%)  
Weight at admission (kg) 43.3 (IQR 25–64.5) 35.5 (IQR 23.4–56.1) 51.3 (IQR 33.8–77.8) .03 
Height at admission (cm) 142 (IQR 125–161.8) 132.3 (IQR 122.3–154.7) 147.3 (IQR 131.5–164.3) .07 
BMI at admission (kg/m221.4 (IQR 17.5–26.1) 19.9 (IQR 16–22.6) 23.3 (IQR 17.9–28.9) .06 
BMI category    .44 
 Normal 31 (45%) 17 (53%) 14 (38%)  
 Overweight 12 (17%) 5 (16%) 7 (19%)  
 Obese 26 (38%) 10 (31%) 16 (43%)  
SARS-CoV-2 PCR    .35 
 Positive 12 (18%) 4 (13%) 8 (22%)  
 Negative 56 (82%) 28 (88%) 28 (78%)  
SARS-CoV-2 IgG antibody    — 
 Positive 69 (100%) 32 (100%) 37 (100%)  
 Negative 0 (0%) 0 (0%) 0 (0%)  

Race and ethnic group were self-reported. BMI, body mass index; IgG, immunoglobulin G; IQR, interquartile range; PCR, polymerase chain reaction; —, not applicable.

TABLE 2

Baseline Cardiac Data

All Patients, n = 69No Myocardial Injury, n = 32 (46%)Myocardial Injury, n = 37 (54%)P
Inotropic support 27 (39%) 5 (16%) 22 (60%) .002 
Peak BNP (pg/mL)a 608 (IQR 261.8–1277.5) 360 (IQR 135.5–784.5) 1050 (IQR 446–2030) .001 
Elevated Tn-I 29 of 65 (45%) 0 of 28 (0%) 29 of 37 (78%) <.0001 
Peak Tn-I (ng/mL)b — — 0.21 (IQR 0.09–1.32) — 
≥1 ECG abnormality 29 of 62 (48%) 7 of 26 (27%) 22 of 36 (61%) .01 
ECG findings     
 Normal 32 (52%) 18 (69%) 14 (39%)  
 Abnormal ST- or T-wave segment 15 (24%) 2 (8%) 13 (36%)  
 PR segment depression 1 (2%) 0 (0%) 1 (3%)  
 Prolonged PR interval 10 (16%) 2 (8%) 8 (22%)  
 Second-degree AV block (Mobitz I) 1 (2%) 0 (0%) 1 (3%)  
 RBBB or QRS prolongation 3 (5%) 1 (4%) 2 (6%)  
 Prolonged QTc 11 (18%) 4 (15%) 7 (19%)  
 Ectopy 1 (2%) 0 (0%) 1 (3%)  
 Arrhythmia 1 (2%) 0 (0%) 1 (3%)  
Decreased LV systolic function on inpatient echo 25 (36%) 0 (0%) 25 (68%) .0001 
Coronary artery abnormality on inpatient echo     
 Dilation 8 of 68 (12%) 3 of 31 (10%) 5 of 7 (14%) 0.999 
 Any aneurysm 26 of 68 (38%) 11 of 31 (36%) 15 of 37 (41%) .24 
  Small 19 12  
  Medium  
  Giant  
Decreased LV systolic function on 8-wk follow-up echo 1 (1%) 0 (0%) 1 (3%) 0.999 
Coronary artery abnormality on 8-wk follow-up echo     
 Dilation 3 (4%) 0 (0%) 3 (8%) .62 
 Any aneurysm 5 (7%) 4 (13%) 1 (3%) .32 
  Small  
  Medium  
  Giant  
Symptoms at 8-wk follow-up     
 Any symptom 15 (22%) 4 (13%) 11 (30%) .14 
  Chest pain  
  Palpitations  
  Exertional dyspnea  
  Fatigue  
All Patients, n = 69No Myocardial Injury, n = 32 (46%)Myocardial Injury, n = 37 (54%)P
Inotropic support 27 (39%) 5 (16%) 22 (60%) .002 
Peak BNP (pg/mL)a 608 (IQR 261.8–1277.5) 360 (IQR 135.5–784.5) 1050 (IQR 446–2030) .001 
Elevated Tn-I 29 of 65 (45%) 0 of 28 (0%) 29 of 37 (78%) <.0001 
Peak Tn-I (ng/mL)b — — 0.21 (IQR 0.09–1.32) — 
≥1 ECG abnormality 29 of 62 (48%) 7 of 26 (27%) 22 of 36 (61%) .01 
ECG findings     
 Normal 32 (52%) 18 (69%) 14 (39%)  
 Abnormal ST- or T-wave segment 15 (24%) 2 (8%) 13 (36%)  
 PR segment depression 1 (2%) 0 (0%) 1 (3%)  
 Prolonged PR interval 10 (16%) 2 (8%) 8 (22%)  
 Second-degree AV block (Mobitz I) 1 (2%) 0 (0%) 1 (3%)  
 RBBB or QRS prolongation 3 (5%) 1 (4%) 2 (6%)  
 Prolonged QTc 11 (18%) 4 (15%) 7 (19%)  
 Ectopy 1 (2%) 0 (0%) 1 (3%)  
 Arrhythmia 1 (2%) 0 (0%) 1 (3%)  
Decreased LV systolic function on inpatient echo 25 (36%) 0 (0%) 25 (68%) .0001 
Coronary artery abnormality on inpatient echo     
 Dilation 8 of 68 (12%) 3 of 31 (10%) 5 of 7 (14%) 0.999 
 Any aneurysm 26 of 68 (38%) 11 of 31 (36%) 15 of 37 (41%) .24 
  Small 19 12  
  Medium  
  Giant  
Decreased LV systolic function on 8-wk follow-up echo 1 (1%) 0 (0%) 1 (3%) 0.999 
Coronary artery abnormality on 8-wk follow-up echo     
 Dilation 3 (4%) 0 (0%) 3 (8%) .62 
 Any aneurysm 5 (7%) 4 (13%) 1 (3%) .32 
  Small  
  Medium  
  Giant  
Symptoms at 8-wk follow-up     
 Any symptom 15 (22%) 4 (13%) 11 (30%) .14 
  Chest pain  
  Palpitations  
  Exertional dyspnea  
  Fatigue  

AV, atrioventricular; BNP, b-type natriuretic peptide; IQR, interquartile range; QTc, corrected QT interval; RBBB, right bundle branch block; Tn-I, Troponin-I; —, not applicable.

a

One b-type natriuretic peptide value of >5000 was excluded from calculation in all patients and myocardial injury groups.

b

Negative Troponin-I (reported as <0.05) was excluded from calculation.

As expected, the group with myocardial injury had a higher peak b-type natriuretic peptide and more frequently required inotropic support. There was not a significant difference in the presence of coronary artery dilation or CAAs between groups during admission or at 6 to 8-week follow-up. Of the patients with evidence of myocardial injury, 78% had elevated Troponin-I during admission and 68% had evidence of diminished LVEF on echocardiogram. LVEF normalized in all but 14% before discharge and in all but 1 patient at 2-month follow-up.

Forty-seven patients (26 with myocardial injury, 21 without) underwent CMR at a mean of 7.2 months after hospitalization. Results are shown in Table 3. Eleven (52%) without myocardial injury and 12 (46%) with myocardial injury had at least 1 abnormality on CMR (odds ratio 0.78 [0.25–2.47], P = .77). One patient, who did not have myocardial injury, had reduced LVEF. Elevated ECV was the most common abnormality (38%), followed by elevated native T1 (19%), and presence of LGE (13%). Only 1 patient had elevated T2. There was not a significant difference between the 2 groups in the prevalence of elevated native T1, elevated T2, elevated ECV, LGE, or CAA. Figure 1 demonstrates representative images of a patient with LGE.

TABLE 3

Follow-up Cardiac Study Results

All PatientsNo Myocardial InjuryMyocardial InjuryOdds Ratio or Mean Difference (95% CI)P
CMR n = 47 n = 21 n = 26 — — 
 Time to CMR (mo) 7.2 (IQR 5.7–9.3) 7.2 (IQR 5.6–9.5) 7.2 (IQR 5.7–9.7) — .86 
 ≥1 CMR abnormality 23 (49%) 11 (52%) 12 (46%) 0.78 (0.25–2.47) .77 
 LVEF (%) 62.6 (7.0) 63.0 (7.4) 59.9 (IQR 57.1–67.9) — .74 
 Native T1 (ms) 1044.0 (33.7) 1052.2 (41.9) 1037.6 (24.6) −14.59 (−36.23 to 7.05) .18 
 Elevated T1 9 (19%) 6 (29%) 3 (12%) 0.32 (0.07–1.51) .26 
 T2 (ms) 50 (IQR 47.9–53.9) 51.4 (3.7) 49.4 (IQR 46.9–52.1) — .08 
 Elevated T2 1 (2%) 1 (5%) 0 (0%) — .44 
 ECV (%) 28.7 (3.1) 29.1 (2.9) 28.6 (IQR 24.6–30.6) — .1 
 Elevated ECV 18 (38%) 10 (48%) 8 (31%) 0.49 (0.15–1.61) .24 
 LGE 6 (13%) 2 (10%) 4 (15%) 1.7 (0.28–10.5) .68 
 CAA 2 (4%) 2 (10%) 0 (0%) — .2 
Ambulatory rhythm monitor n = 57 n = 24 n = 33 —  
 Time to ambulatory rhythm monitor (mo) 8 (IQR 6.0–10.7) 8 (IQR 5.7–11.2) 7.9 (IQR 6.3–10.5) — .98 
 Normal 44 (77%) 22 (92%) 22 (67%) — .09 
 Intermediate 8 (14%) 1 (4%) 7 (21%) — — 
 Abnormal 5 (9%) 1 (4%) 4 (12%) — — 
CPET n = 46 n = 19 n = 27 — — 
 Time to CPET (mo) 8.1 (2.7) 8 (2.7) 8.1 (2.8) 0.14 (−1.5 to 1.8) .90 
 Peak HR (beats per min) 189.6 (12.2) 192.2 (9.7) 187.9 (13.5) −4.32 (−11.23 to 2.58) .21 
 RER 1.24 (0.09) 1.27 (0.09) 1.23 (0.09) −0.05(−0.11 to 0.02) .14 
 VE/VCO2 27.5 (2.1) 28.3 (2.2) 27.0 (1.9) −1.24 (−2.7 to 0.22) .09 
 VO2 (mL/kg per min) 31.3 (8.2) 33.0 (8.8) 30.2 (7.8) −2.83 (−8.79 to 3.12) .34 
 VO2 % predicted (%) 64 (15.2) 68.5 (15.6) 61.1 (14.6) −7.36 (−18.02 to 3.30) .17 
 Reduced functional capacity 29 of 37 (78%) 11 of 15 (73%) 18 of 22 (82%) 1.63 (0.34–7.91) .69 
 ST/T wave changes 0 (0%) 0 (0%) 0 (0%) — — 
 Ectopy during peak exercise or recovery 2 (4%) 0 (0%) 2 (7%) — .50 
 Abnormal stress echo 1 of 39 (3%) 0 of 14 (0%) 1 of 25 (4%) — 0.999 
All PatientsNo Myocardial InjuryMyocardial InjuryOdds Ratio or Mean Difference (95% CI)P
CMR n = 47 n = 21 n = 26 — — 
 Time to CMR (mo) 7.2 (IQR 5.7–9.3) 7.2 (IQR 5.6–9.5) 7.2 (IQR 5.7–9.7) — .86 
 ≥1 CMR abnormality 23 (49%) 11 (52%) 12 (46%) 0.78 (0.25–2.47) .77 
 LVEF (%) 62.6 (7.0) 63.0 (7.4) 59.9 (IQR 57.1–67.9) — .74 
 Native T1 (ms) 1044.0 (33.7) 1052.2 (41.9) 1037.6 (24.6) −14.59 (−36.23 to 7.05) .18 
 Elevated T1 9 (19%) 6 (29%) 3 (12%) 0.32 (0.07–1.51) .26 
 T2 (ms) 50 (IQR 47.9–53.9) 51.4 (3.7) 49.4 (IQR 46.9–52.1) — .08 
 Elevated T2 1 (2%) 1 (5%) 0 (0%) — .44 
 ECV (%) 28.7 (3.1) 29.1 (2.9) 28.6 (IQR 24.6–30.6) — .1 
 Elevated ECV 18 (38%) 10 (48%) 8 (31%) 0.49 (0.15–1.61) .24 
 LGE 6 (13%) 2 (10%) 4 (15%) 1.7 (0.28–10.5) .68 
 CAA 2 (4%) 2 (10%) 0 (0%) — .2 
Ambulatory rhythm monitor n = 57 n = 24 n = 33 —  
 Time to ambulatory rhythm monitor (mo) 8 (IQR 6.0–10.7) 8 (IQR 5.7–11.2) 7.9 (IQR 6.3–10.5) — .98 
 Normal 44 (77%) 22 (92%) 22 (67%) — .09 
 Intermediate 8 (14%) 1 (4%) 7 (21%) — — 
 Abnormal 5 (9%) 1 (4%) 4 (12%) — — 
CPET n = 46 n = 19 n = 27 — — 
 Time to CPET (mo) 8.1 (2.7) 8 (2.7) 8.1 (2.8) 0.14 (−1.5 to 1.8) .90 
 Peak HR (beats per min) 189.6 (12.2) 192.2 (9.7) 187.9 (13.5) −4.32 (−11.23 to 2.58) .21 
 RER 1.24 (0.09) 1.27 (0.09) 1.23 (0.09) −0.05(−0.11 to 0.02) .14 
 VE/VCO2 27.5 (2.1) 28.3 (2.2) 27.0 (1.9) −1.24 (−2.7 to 0.22) .09 
 VO2 (mL/kg per min) 31.3 (8.2) 33.0 (8.8) 30.2 (7.8) −2.83 (−8.79 to 3.12) .34 
 VO2 % predicted (%) 64 (15.2) 68.5 (15.6) 61.1 (14.6) −7.36 (−18.02 to 3.30) .17 
 Reduced functional capacity 29 of 37 (78%) 11 of 15 (73%) 18 of 22 (82%) 1.63 (0.34–7.91) .69 
 ST/T wave changes 0 (0%) 0 (0%) 0 (0%) — — 
 Ectopy during peak exercise or recovery 2 (4%) 0 (0%) 2 (7%) — .50 
 Abnormal stress echo 1 of 39 (3%) 0 of 14 (0%) 1 of 25 (4%) — 0.999 

Odds ratio calculated as odds in the myocardial injury group relative to the no myocardial injury group. Mean difference calculated as myocardial injury minus no myocardial injury. CI, confidence interval; IQR, interquartile range; VE/VCO2, minute ventilation/carbon dioxide production slope; VO2, peak oxygen uptake. —, not applicable.

FIGURE 1

A-D: Short-axis stack demonstrating patchy areas of LGE in the subepicardium and mid myocardium of the LV inferior wall and septum. Arrows indicate areas of LGE.

FIGURE 1

A-D: Short-axis stack demonstrating patchy areas of LGE in the subepicardium and mid myocardium of the LV inferior wall and septum. Arrows indicate areas of LGE.

Close modal

Fifty-seven patients (33 with myocardial injury, 24 without) had ambulatory rhythm monitoring at a mean of 8 months after hospitalization, (Table 3). Eight patients (14%) had an intermediate result. One patient did not have myocardial injury during acute illness and had AIVR. Of the 7 with myocardial injury, 1 had AIVR, 4 had ventricular couplets, and 2 had elevated average HR for age. Five patients (9%) had an abnormal result. One patient without myocardial injury during acute illness had ectopic atrial tachycardia. Of the 4 with myocardial injury, 3 had nonsustained ventricular tachycardia and 1 had ectopic atrial tachycardia. No patients had heart block other than the normal finding of Wenckebach during sleep. There were more intermediate and abnormal results in the myocardial injury group, which approached but did not reach statistical significance (P = .09).

Forty-six patients (27 with myocardial injury, 19 without) underwent CPET and had sufficient peak HR for analysis and inclusion (Table 3). No patients had ST-segment or T-wave changes with exercise. Two patients, both in the myocardial injury group, had ectopy during CPET. One had premature ventricular complexes (PVCs) during mid and late exercise, and 1 had PVCs during early recovery. Thirty-seven patients had adequate RER to assess functional capacity. Of those with adequate RER, 11 of 15 (73%) without myocardial injury had reduced functional capacity versus 18 of 22 (82%) with myocardial injury, which was not a statistically significant difference.

Thirty-nine patients underwent stress echocardiography. Only 1 patient, who had myocardial injury, had mildly reduced LV function with exercise. There was not a statistically significant difference in occurrence of ectopy, reduced functional capacity, or abnormal stress echocardiogram between the 2 groups.

MIS-C is a new disease entity that emerged during the recent SARS-CoV-2 pandemic for which long-term outcomes remain unknown. Understanding the prevalence and persistence of residual cardiovascular pathology is essential in determining long-term prognosis and management. To our knowledge, this is the first study to examine CMR, ambulatory rhythm monitoring, and CPET in concert in MIS-C patients and the first study to compare midterm results of these modalities between patients with and without myocardial injury during acute illness. Our results show that both groups of patients have abnormal findings on follow-up testing, without a statistically significant difference in the prevalence of abnormal findings. This suggests that all patients treated for MIS-C, regardless of the severity of the initial illness, warrant cardiology follow-up.

Elevation of T1, T2, and ECV on CMR can occur in a variety of disease processes, including cardiomyopathy, myocardial ischemia/infarction, myocarditis, and systemic inflammatory processes.23,24  These abnormalities can indicate intracellular and extracellular changes (ECV only reflects extracellular changes), including edema, hyperemia, and fibrosis.2325  Patients with myocarditis have demonstrated rapid improvement in native T1, T2, and ECV, often within 8 weeks of diagnosis.26,27  LGE is typically thought to represent myocardial scarring, and in myocardial infarction has been well-established to detect extent of disease and to indicate prognosis.26,2830  However, the persistence and implication of LGE in myocarditis is less clear. Although some studies have demonstrated persistence of LGE in most patients, others have demonstrated resolution in one-third to half, making a correlation with true fibrosis less clear.27,31 

In our study, the most common CMR abnormality was elevated ECV, followed by elevated native T1 and presence of LGE. It is unclear whether these findings are reflective of a transient inflammatory process or myocardial fibrosis. Additional CMR studies at later time points will be needed to assess whether the changes resolve. Compared with many other studies, we found an overall higher prevalence of abnormal CMR findings. It is possible that either differences in the virus or in the hosts in our population may have contributed to these findings. Throughout the pandemic, there have been regional and temporal variations in the circulating strains of SARS-CoV-2,32  as well as regional and temporal differences in the clinical presentation of MIS-C.3336  It is possible that differences in the acute disease course may also manifest in differences in residual pathology. However, on the basis of our study design, we cannot confirm this hypothesis.

To date, few studies have assessed ambulatory rhythm monitoring in patients after treatment of MIS-C. Özgür et al described a series of 17 patients, only 1 of whom had an abnormal finding of 13% PVCs.37  In a study of 20 patients by Gentili et al, there were no findings of ectopy exceeding 50 beats per 24 hours, complex arrhythmia, or elevated average HR. In contrast, in our study, 9% had documented arrhythmia and 14% had an intermediate result. Although there was a higher prevalence of abnormal and intermediate findings in patients with myocardial injury, this did not reach statistical significance. However, it is possible that our study was underpowered to detect a significant difference.

Most of the patients who underwent CPET had reduced functional capacity, a finding that has been documented in 2 other studies.38,39  This is difficult to interpret in this study population because there are multiple potential confounders. Firstly, a significant proportion of the patients were overweight or obese when diagnosed with MIS-C. Many had a further increase in BMI between hospitalization and CPET, which could have been contributed to by being restricted from strenuous exercise. Because no patients had CPET before hospitalization, it is unclear whether some or all may have been deconditioned at baseline. However, these findings further highlight the importance of determining which patients truly need exercise restrictions to prevent new or worsening obesity and other health problems.

Abnormalities on different testing modalities did not frequently cooccur. Twenty-nine patients underwent all 3 tests, and 23 underwent 2 tests. Twelve of 52 (23%) patients had abnormalities on 2 modalities and only 1 of 29 (3%) had abnormalities on all 3. Eighty-five percent of those with >1 abnormality had evidence of myocardial injury during acute illness. Interestingly, none of the patients with nonsustained ventricular tachycardia on ambulatory rhythm monitoring had abnormal CMR findings.

Overall, our results demonstrate residual subclinical cardiovascular pathology in a large proportion of patients after treatment of MIS-C, with no difference in prevalence between patients who had myocardial injury during hospitalization and those who did not. Therefore, for patients who report cardiovascular symptoms after treatment of MIS-C, pediatricians should have a low threshold to refer for further cardiovascular evaluation and workup.

Furthermore, many of the patients in our study population were of racial and/or ethnic minority backgrounds, which put them at higher risk for both coronavirus disease 2019 (COVID-19) and MIS-C.40,41  As previously noted, most of these patients were also overweight or obese, which has also been associated with increased risk for severe COVID-19 illness. Independent of COVID-19, obesity and social determinants of health are risk factors for the development of cardiovascular disease in adulthood.42,43  Thus, in the setting of an additional cardiovascular insult from MIS-C, these patients may warrant longer-term cardiology follow-up during childhood and adolescence.

This was a retrospective study reflecting the experience of a single center. Because patients were referred for and underwent follow-up cardiac studies at different times, not all patients had data for all 3 modalities. This made understanding associations between abnormalities on different modalities more difficult. The risk of type II error should also be considered in comparisons between the groups with and without myocardial injury.

CHLA has treated a large cohort of patients with MIS-C to date, accounting for ∼2.3% of cases nationally. Additionally, our study population appears demographically relatively similar to those of several other published studies assessing follow-up of patients treated for MIS-C in terms of age, sex, prevalence of overweight/obesity, and representation within the study population of groups that have been disproportionately affected by COVID-19–related illnesses.1115  This suggests reasonable generalizability of our results; however, it is possible that this may be limited by differences in susceptibility to disease or other, more difficult to measure population differences. We do not have any data to suggest that the findings of our study are generalizable to patients who had COVID-19 but not MIS-C, or to adults who were treated for multisystem inflammatory syndrome in adults.

Lack of long-term data regarding MIS-C makes determining appropriate surveillance and counseling challenging. We found a high prevalence of abnormal findings on midterm follow-up cardiac studies and a lack of significant difference between patients with and without myocardial injury during hospitalization. This suggests that all patients treated for MIS-C warrant cardiology follow-up, regardless of the severity of the initial illness. A significant proportion of our patients had risk factors for the development of premature cardiovascular disease. These patients in particular may benefit from longer-term cardiology follow-up given the additional cardiovascular insult from MIS-C. Because the clinical significance of and whether these findings will persist remains unknown, longer-term follow-up studies are needed.

Dr Zimmerman conceptualized and designed the study, collected data, conducted initial analyses, and drafted the initial manuscript; Dr Shwayder reviewed ambulatory rhythm monitor results; Dr Souza reviewed cardiopulmonary exercise stress tests and stress echocardiograms; Dr Su provided input on study design; Dr Votava-Smith provided input on study design and echocardiographic measurements; Ms Wagner-Lees and Dr Kaneta collected data; Dr Cheng conceptualized and designed the study, reviewed cardiac MRI studies, and conducted initial analyses; Dr Szmuszkovicz conceptualized and designed the study; and all authors critically reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

FUNDING: No external funding.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no conflicts of interest relevant to this article to disclose.

AIVR

accelerated idioventricular rhythm

CAA

coronary artery aneurysm

CHLA

Children’s Hospital Los Angeles

CMR

cardiac MRI

COVID-19

coronavirus disease 2019

CPET

cardiopulmonary exercise test

ECG

electrocardiogram

ECV

extracellular volume

FS

fractional shortening

HR

heart rate

LGE

late gadolinium enhancement

LV

left ventricle

LVEF

left ventricular ejection fraction

MIS-C

multisystem inflammatory disease in children

PVC

premature ventricular complex

RER

respiratory exchange ratio

SARS-CoV-2

severe acute respiratory syndrome coronavirus 2

1
Feldstein
LR
,
Tenforde
MW
,
Friedman
KG
, et al
;
Overcoming COVID-19 Investigators
.
Characteristics and outcomes of US children and adolescents with multisystem inflammatory syndrome in children (MIS-C) compared with severe acute COVID-19
.
JAMA
.
2021
;
325
(
11
):
1074
1087
2
Rowley
AH
.
Understanding SARS-CoV-2-related multisystem inflammatory syndrome in children
.
Nat Rev Immunol
.
2020
;
20
(
8
):
453
454
3
Sperotto
F
,
Friedman
KG
,
Son
MBF
,
VanderPluym
CJ
,
Newburger
JW
,
Dionne
A
.
Cardiac manifestations in SARS-CoV-2-associated multisystem inflammatory syndrome in children: a comprehensive review and proposed clinical approach
.
Eur J Pediatr
.
2021
;
180
(
2
):
307
322
4
Valverde
I
,
Singh
Y
,
Sanchez-de-Toledo
J
, et al
;
AEPC COVID-19 Rapid Response Team
.
Acute cardiovascular manifestations in 286 children with multisystem inflammatory syndrome associated with COVID-19 infection in Europe
.
Circulation
.
2021
;
143
(
1
):
21
32
5
Belhadjer
Z
,
Méot
M
,
Bajolle
F
, et al
.
Acute heart failure in multisystem inflammatory syndrome in children in the context of global SARS-CoV-2 pandemic
.
Circulation
.
2020
;
142
(
5
):
429
436
6
Kobayashi
R
,
Dionne
A
,
Ferraro
A
, et al
.
Detailed assessment of left ventricular function in multisystem inflammatory syndrome in children, using strain analysis
.
CJC Open
.
2021
;
3
(
7
):
880
887
7
Alsaied
T
,
Tremoulet
AH
,
Burns
JC
, et al
.
Review of cardiac involvement in multisystem inflammatory syndrome in children
.
Circulation
.
2021
;
143
(
1
):
78
88
8
Penner
J
,
Abdel-Mannan
O
,
Grant
K
, et al
;
GOSH PIMS-TS MDT Group
.
6-month multidisciplinary follow-up and outcomes of patients with pediatric inflammatory multisystem syndrome (PIMS-TS) at a UK tertiary paediatric hospital: a retrospective cohort study
.
Lancet Child Adolesc Health
.
2021
;
5
(
7
):
473
482
9
Matsubara
D
,
Kauffman
HL
,
Wang
Y
, et al
.
Echocardiographic findings in pediatric multisystem inflammatory syndrome associated with COVID-19 in the United States
.
J Am Coll Cardiol
.
2020
;
76
(
17
):
1947
1961
10
Wong
J
,
Theocharis
P
,
Regan
W
, et al
.
Medium-term cardiac outcomes in young people with multi-system inflammatory syndrome: the era of COVID-19
.
Pediatr Cardiol
.
2022
;
43
(
8
):
1728
1736
11
DiLorenzo
MP
,
Farooqi
KM
,
Shah
AM
, et al
Ventricular function and tissue characterization by cardiac magnetic resonance imaging following hospitalization for multisystem inflammatory syndrome in children: a prospective study
.
Pediatr Radiol
.
2023
;
53
(
3
):
394
403
12
Matsubara
D
,
Chang
J
,
Kauffman
HL
, et al
.
Longitudinal assessment of cardiac outcomes of multisystem inflammatory syndrome in children associated with COVID-19 infections
.
J Am Heart Assoc
.
2022
;
11
(
3
):
e023251
13
Capone
CA
,
Misra
N
,
Ganigara
M
, et al
.
Six-month follow-up of patients with multi-system inflammatory syndrome in children
.
Pediatrics
.
2021
;
148
(
4
):
e2021050973
14
Dove
ML
,
Oster
ME
,
Hashemi
S
,
Slesnick
TC
.
Cardiac magnetic resonance findings after multisystem inflammatory syndrome in children
.
J Pediatr
.
2022
;
245
:
95
101
15
Chakraborty
A
,
Philip
R
,
Santoso
M
,
Naik
R
,
Merlocco
A
,
Johnson
JN
.
Cardiovascular magnetic resonance in children with multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19: institutional protocol-based medium-term follow-up study
.
Pediatr Cardiol
.
2022
;
43
(
8
):
1879
1887
16
Bartoszek
M
,
Małek
ŁA
,
Barczuk-Falęcka
M
,
Brzewski
M
.
Cardiac magnetic resonance follow-up of children after pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 with initial cardiac involvement
.
J Magn Reson Imaging
.
2022
;
55
(
3
):
883
891
17
Sirico
D
,
Basso
A
,
Sabatino
J
, et al
.
Evolution of echocardiographic and cardiac magnetic resonance imaging abnormalities during follow-up in patients with multisystem inflammatory syndrome in children
.
Eur Heart J Cardiovasc Imaging
.
2022
;
23
(
8
):
1066
1074
18
Centers for Disease Control
.
Multisystem inflammatory syndrome in children (MIS-C) associated with coronavirus disease 2019 (COVID-19)
. Available at: https://emergency.cdc.gov/han/2020/han00432.asp. Accessed October 5, 2022
19
Lai
WW
,
Geva
T
,
Shirali
GS
, et al
;
Task Force of the Pediatric Council of the American Society of Echocardiography
;
Pediatric Council of the American Society of Echocardiography
.
Guidelines and standards for performance of a pediatric echocardiogram: a report from the Task Force of the Pediatric Council of the American Society of Echocardiography
.
J Am Soc Echocardiogr
.
2006
;
19
(
12
):
1413
1430
20
Colan
SD
. Normal Echocardiographic Values for Cardiovascular Structures. In:
Lai
WW
,
Mertens
LL
,
Cohen
MS
,
Geva
T
, eds.
Echocardiography in Pediatric and Congenital Heart Disease: From Fetus to Adult
, 2nd ed. Hoboken, New Jersey:
John Wiley & Sons, Ltd
;
2016
21
Alsaied
T
,
Tseng
SY
,
Siddiqui
S
, et al
.
Pediatric myocardial T1 and T2 value associations with age and heart rate at 1.5 T
.
Pediatr Cardiol
.
2021
;
42
(
2
):
269
277
22
Kawel-Boehm
N
,
Hetzel
SJ
,
Ambale-Venkatesh
B
, et al
.
Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update
.
J Cardiovasc Magn Reson
.
2020
;
22
(
1
):
87
23
Messroghli
DR
,
Moon
JC
,
Ferreira
VM
, et al
.
Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)
.
J Cardiovasc Magn Reson
.
2017
;
19
(
1
):
75
24
Lagan
J
,
Schmitt
M
,
Miller
CA
.
Clinical applications of multi-parametric CMR in myocarditis and systemic inflammatory diseases
.
Int J Cardiovasc Imaging
.
2018
;
34
(
1
):
35
54
25
Ferreira
VM
,
Schulz-Menger
J
,
Holmvang
G
, et al
.
Cardiovascular magnetic resonance in nonischemic myocardial inflammation: expert recommendations
.
J Am Coll Cardiol
.
2018
;
72
(
24
):
3158
3176
26
Emrich
T
,
Halfmann
M
,
Schoepf
UJ
,
Kreitner
KF
.
CMR for myocardial characterization in ischemic heart disease: state-of-the-art and future developments
.
Eur Radiol Exp
.
2021
;
5
(
1
):
14
27
Pommier
T
,
Leclercq
T
,
Guenancia
C
, et al
.
More than 50% of persistent myocardial scarring at one year in “infarct-like” acute myocarditis evaluated by CMR
.
J Clin Med
.
2021
;
10
(
20
):
4677
28
Schwitter
J
,
Arai
AE
.
Assessment of cardiac ischemia and viability: role of cardiovascular magnetic resonance
.
Eur Heart J
.
2011
;
32
(
7
):
799
809
29
Kim
RJ
,
Fieno
DS
,
Parrish
TB
, et al
.
Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function
.
Circulation
.
1999
;
100
(
19
):
1992
2002
30
Kim
RJ
,
Wu
E
,
Rafael
A
, et al
.
The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction
.
N Engl J Med
.
2000
;
343
(
20
):
1445
1453
31
Dubey
S
,
Agarwal
A
,
Nguyen
S
,
Adebo
D
.
Persistence of late gadolinium enhancement on follow-up CMR imaging in children with acute myocarditis
.
Pediatr Cardiol
.
2020
;
41
(
8
):
1777
1782
32
Negi
SS
,
Schein
CH
,
Braun
W
.
Regional and temporal coordinated mutation patterns in SARS-CoV-2 spike protein revealed by a clustering and network analysis
.
Sci Rep
.
2022
;
12
(
1
):
1128
33
Pick
J
,
Rao
MY
,
Dern
K
, et al
.
Coronary artery changes in patients with multisystem inflammatory syndrome in children: Los Angeles experience
.
J Pediatr
.
2022
;
240
:
292
296
34
Kaushik
A
,
Gupta
S
,
Sood
M
,
Sharma
S
,
Verma
S
.
A systematic review of multisystem inflammatory syndrome in children associated with SARS-CoV-2 infection
.
Pediatr Infect Dis J
.
2020
;
39
(
11
):
e340
e346
35
Harahsheh
AS
,
Sharron
MP
,
Bost
JE
,
Ansusinha
E
,
Wessel
D
,
DeBiasi
RL
;
Children’s National Hospital MIS-C Taskforce
.
Comparison of first and second wave cohorts of multisystem inflammatory disease syndrome in children
.
Pediatr Infect Dis J
.
2022
;
41
(
1
):
e21
e25
36
McCrindle
BW
,
Harahsheh
AS
,
Handoko
R
, et al
;
International Kawasaki Disease Registry
.
SARS-CoV-2 variants and multisystem inflammatory syndrome in children
.
N Engl J Med
.
2023
;
388
(
17
):
1624
1626
37
Özgür Gündeşlioğlu
Ö
,
Subaşı
B
,
Pişkin
F
, et al
.
Cardiac effects of multisystem inflammatory syndrome in children: One-year follow-up
.
J Paediatr Child Health
.
2023
;
59
(
4
):
637
643
38
Gentili
F
,
Calcagni
G
,
Cantarutti
N
, et al
.
Cardiopulmonary exercise testing in children and young adolescents after a multisystem inflammatory syndrome: physical deconditioning or residual pathology?
J Clin Med
.
2023
;
12
(
6
):
2375
39
Astley
C
,
Badue Pereira
MF
,
Lima
MS
, et al
.
In-depth cardiovascular and pulmonary assessments in children with multisystem inflammatory syndrome after SARS-CoV-2 infection: A case series study
.
Physiol Rep
.
2022
;
10
(
5
):
e15201
40
Kompaniyets
L
,
Agathis
NT
,
Nelson
JM
, et al
.
Underlying medical conditions associated with severe COVID-19 illness among children
.
JAMA Netw Open
.
2021
;
4
(
6
):
e2111182
41
Javalkar
K
,
Robson
VK
,
Gaffney
L
, et al
.
Socioeconomic and racial and/or ethnic disparities in multisystem inflammatory syndrome
.
Pediatrics
.
2021
;
147
(
5
):
e2020039933
42
Godoy
LC
,
Frankfurter
C
,
Cooper
M
,
Lay
C
,
Maunder
R
,
Farkouh
ME
.
Association of adverse childhood experiences with cardiovascular disease later in life: a review
.
JAMA Cardiol
.
2021
;
6
(
2
):
228
235
43
Schipper
HS
,
de Ferranti
S
.
Atherosclerotic cardiovascular risk as an emerging priority in pediatrics
.
Pediatrics
.
2022
;
150
(
5
):
e2022057956