Literature DB >> 33428826

COVID-19 and multisystem inflammatory syndrome in children: A systematic review and meta-analysis.

Jun Yasuhara1, Kae Watanabe2, Hisato Takagi3, Naokata Sumitomo4, Toshiki Kuno5.   

Abstract

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) associated with coronavirus disease 2019 has been increasingly recognized. However, the clinical features of MIS-C and the differences from Kawasaki disease remain unknown. The study aims to investigate the epidemiology and clinical course of MIS-C.
METHODS: PubMed and EMBASE were searched through August 30, 2020. Observational studies describing MIS-C were included. Data regarding demographic features, clinical symptoms, laboratory, echocardiography and radiology findings, treatments, and outcomes were extracted. Study-specific estimates were combined using one-group meta-analysis in a random-effects model.
RESULTS: A total of 27 studies were identified including 917 MIS-C patients. The mean age was 9.3 (95% confidence interval [CI], 8.4-10.1). The pooled proportions of Hispanic and Black cases were 34.6% (95% CI, 28.3-40.9) and 31.5% (95% CI, 24.8-38.1), respectively. The common manifestations were gastrointestinal symptoms (87.3%; 95% CI, 82.9-91.6) and cardiovascular involvement such as myocardial dysfunction (55.3%; 95% CI, 42.4-68.2), coronary artery aneurysms (21.7%; 95% CI, 12.8-30.1) and shock (65.8%; 95% CI, 51.1-80.4), with marked elevated inflammatory and cardiac markers. The majority of patients received intravenous immunoglobulin (81.0%; 95% CI, 75.0-86.9), aspirin (67.3%; 95% CI, 48.8-85.7), and corticosteroids (63.6%; 95% CI, 53.4-73.8) with a variety of anti-inflammatory agents. Although myocardial dysfunction improved in 55.1% (95% CI, 33.4-76.8) at discharge, the rate of extracorporeal membrane oxygenation use was 6.3% (95% CI, 2.8-9.8) and the mortality was 1.9% (95% CI, 1.0-2.8).
CONCLUSION: Our findings suggest that MIS-C leads to multiple organ failure, including gastrointestinal manifestations, myocardial dysfunction and coronary abnormalities, and has distinct features from Kawasaki disease.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  Kawasaki disease; MIS-C; PIMS-TS; hyperinflammatory shock; myocarditis

Mesh:

Year:  2021        PMID: 33428826      PMCID: PMC8013394          DOI: 10.1002/ppul.25245

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


INTRODUCTION

Coronavirus disease 2019 (COVID‐19), caused by a novel coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has resulted in a global pandemic since December 2019. Initial studies indicated that children with SARS‐CoV‐2 infection generally present with mild symptoms or are asymptomatic. , , However, in late April 2020, the United Kingdom reported a newly recognized syndrome related to SARS‐CoV‐2 infection characterized by hyperinflammation and multiorgan involvement in children, presenting with clinical features similar to Kawasaki disease (KD) and toxic shock syndrome. This syndrome has been named multisystem inflammatory syndrome in children (MIS‐C) associated with COVID‐19 by the Centers for Disease Control and Prevention and pediatric inflammatory multisystem syndrome temporally associated with SARS‐CoV‐2 in Europe. Since this new syndrome was identified, several reports have revealed the clinical features of MIS‐C, however, there is no large study to date which can clarify the nature and course of MIS‐C, including the epidemiology, pathogenesis, clinical spectrum, laboratory features, potential optimal management, and long‐term outcomes. Therefore, we conducted a systematic review and meta‐analysis aimed to investigate the characteristics of MIS‐C, to provide insights into further understanding and the clinical practice of MIS‐C.

METHODS

Search strategy

All observational studies and case series reporting patients with MIS‐C were searched using a two‐level search strategy. First, PubMed, and EMBASE were searched through August 10, 2020. Second, relevant studies were identified through a manual search of secondary sources including references of initially identified articles, reviews, and commentaries. All references were downloaded for consolidation, elimination of duplicates, and further analyses (Figure 1).
Figure 1

PRISMA flow diagram for the study selection. MIS‐C, multisystem inflammatory syndrome in children. PRISMA, preferred reporting items for systematic reviews and meta‐analyses

PRISMA flow diagram for the study selection. MIS‐C, multisystem inflammatory syndrome in children. PRISMA, preferred reporting items for systematic reviews and meta‐analyses The search terms included “COVID‐19” OR “SARS‐CoV‐2” OR “coronavirus”, “MIS‐C” OR “multisystem inflammatory syndrome in children” OR “multisystem”, “inflammatory” OR “Kawasaki disease”, “pediatrics” OR “child” OR “children”. Two independent and blinded authors (J.Y. and T.K.) reviewed the search results separately to select the studies based on the inclusion and exclusion criteria. Any discrepancies were resolved by discussion and consensus. There were no language restrictions. This study was conducted in accordance with the preferred reporting items for systematic reviews and meta‐analyses reporting guidelines.

Study selection and risk of bias assessment

Studies which met the following criteria were included: (1) the study design was an observational study or a case series, (2) the study population included children and adolescents (age <21 years old) who met the diagnostic criteria for MIS‐C with confirmed SARS‐CoV‐2 infection through a reverse transcriptase‐polymerase chain reaction or serological tests. The diagnosis of MIS‐C was confirmed using the case definition established by the Centers for Disease Control and Prevention and World Health Organization. , Case reports including one patient, studies not containing original data of the patients such as clinical guidelines, consensus documents, clinical trials, editorials, letters, reviews, systematic reviews and meta‐analyses, and articles on other types of coronavirus were excluded from the secondary review. The risk of bias in the individual studies was reviewed using an assessment of the risk of bias in prevalence studies.

Data extraction

The following information was extracted: author, year of publication, country of the study, sample size, age, sex, race/ethnicity, comorbidities, clinical symptoms, laboratory data, echocardiography, and chest X‐ray findings, treatments, and outcomes. Disagreements regarding the extracted data were resolved through discussion and consensus of a third author (H.T.).

Statistical analysis

We performed one‐group meta‐analysis in a random effects model using the DerSimonian‐Laird method for continuous values and Wald method for discrete values with the OpenMetaAnalyst version 12.11.14 (available from http://www.cebm.brown.edu/openmeta/). Continuous variables are expressed as the means ± standard deviations or medians (interquartile range), as appropriate for the data distribution. Categorical variables are expressed as frequencies and percentages.

RESULTS

Study characteristics

Our search identified 372 articles that were reviewed based on the title and abstract, and of those, 307 articles were excluded. Sixty‐five full texts were assessed for eligibility and 38 articles were excluded based on the article type (case reports, clinical guidelines, consensus documents, clinical trials, editorials, letters, reviews, systematic reviews, and meta‐analyses), population (adult patients with COVID‐19, cases without meeting the case definition for MIS‐C) and topic (other viruses). Twenty‐seven articles met the inclusion and exclusion criteria and were analyzed for the systemic review and meta‐analysis (Figure 1). , , , , , , , , , , , , , , , , , , , , , , , , , , The study and patient characteristics of the included studies are shown in Table S1 and Table S2. The results of the pooled analysis are summarized in Table 1. A summary of the risk of bias assessment for the prevalence studies for each retrospective cohort study is shown in Table S3.
Table 1

Random‐effects estimate (95% confidence interval [CI]) of the demographics, clinical characteristics, treatment, outcomes, laboratory, echocardiogram, and imaging findings of the patients with MIS‐C

Random‐effects estimate (95% CI)
Demographics
Age, years9.3 (8.4–10.1)
BMI, kg/m2 19.2 (17.7–20.6)
Male, %56.8 (52.1–61.5)
Race/ethnicity
Hispanic, %34.6 (28.3–40.9)
Black, %31.5 (24.8–38.1)
White, %18.9 (14.3–23.6)
Asian, %18.7 (8.6–28.9)
Other, %19.0 (10.0–28.0)
Comorbidity
Total, %30.7 (24.7–36.7)
Obesity, %18.0 (11.0–24.9)
Asthma/CLD, %14.4 (11.2–17.5)
Symptoms
Fever, %99.3 (98.8–99.9)
Any respiratory symptoms, %40.7 (23.1–58.4)
Cough, %35.2 (22.2–48.1)
Dyspnea, %37.6 (22.2–53.0)
Sore throat, %18.5 (10.6–26.3)
Any neurologic symptoms, %36.0 (22.8–49.2)
Headache, %25.3 (19.6–31.0)
Meningeal signs, %14.8 (5.8–23.8)
Any gastrointestinal symptoms, %87.3 (82.9–91.6)
Diarrhea, %57.0 (49.3–64.7)
Vomiting, %60.0 (52.6–67.4)
Abdominal pain, %70.1 (58.4–81.7)
Conjunctivitis, %57.0 (47.3–66.6)
Rash, %59.0 (52.8–65.2)
Peripheral extremity changes, %32.9 (20.6–45.1)
Cervical lymphadenopathy, %25.2 (15.0–35.3)
Oral mucosal changes, %42.3 (31.7–53.0)
Myalgia, %14.2 (8.3–20.0)
Laboratory values
Hematology
White blood cell, × 109/L11.8 (10.5–13.2)
Neutrophil count, × 109/L10.8 (9.3–12.4)
Lymphocyte count, × 109/L0.8 (0.7–1.0)
Platelet count, × 109/L155.1 (143.2–167.1)
Hemoglobin, g/dl10.7 (9.9–11.5)
Inflammatory markers
C‐reactive protein, mg/L235.5 (215.8–255.5)
Procalcitonin, ng/ml8.5 (5.3–11.7)
Ferritin, ng/ml711.0 (599.5–822.4)
ESR, mm/h62.8 (58.9–66.6)
Interleukin‐6, pg/ml172.2 (137.9–206.5)
Biochemistry
Albumin, g/dl2.7 (2.4–2.9)
Serum sodium, mEq/L131.7 (129.6–133.8)
Serum creatinine, mg/dl0.8 (0.7–1.0)
AST, U/L49.1 (35.5–62.7)
ALT, U/L44.6 (32.9–60.4)
Lactate dehydrogenase, U/L347.7 (292.5–403.0)
Coagulation
d ‐Dimer, μg/ml3.5 (2.9–4.1)
Fibrinogen, mg/dl643.0 (598.6–687.5)
Cardiac markers
Troponin, ng/L100.8 (55.2–146.3)
BNP, pg/ml2191.5 (1334.2–3048.7)
NT‐proBNP, pg/ml14072.0 (7975.1–20168.9)
Echocardiography findings
LV systolic dysfunction or myocarditis, %55.3 (42.4–68.2)
LVEF, %41.7 (36.1–47.4)
LVEF < 30%, %7.9 (2.6–13.2)
LVEF 30‐50%, %53.8 (37.0–70.5)
Coronary artery dilation or aneurysm, %21.4 (12.8–30.1)
Pericardial effusion, %31.7 (23.5–40.0)
Chest X‐ray findings
infiltrates or Opacities, %38.3 (29.7–46.9)
Treatment
Intravenous immunoglobulin, %81.0 (75.0–86.9)
Corticosteroids, %63.6 (53.4–73.8)
Tocilizumab (IL‐6 receptor antagonist), %27.7 (15.2–40.3)
Anakinra (IL‐1 receptor antagonist), %10.8 (8.2–13.4)
Infliximab (TNF‐α antagonist), %8.0 (2.9–13.1)
Remdesivir, %8.3 (0.0–16.7)
Aspirin, %67.3 (48.8–85.7)
Anticoagulation, %56.5 (41.8–71.1)
Inotropes, %62.9 (53.2–72.6)
High‐flow nasal cannula, %16.8 (10.4–23.3)
Noninvasive ventilation, %24.6 (14.4–34.7)
Mechanical ventilation, %33.0 (24.5–41.5)
ECMO, %6.3 (2.8–9.8)
Outcomes
ICU admission, %79.1 (71.6–86.7)
Kawasaki Disease, %44.3 (34.7–53.9)
Shock, %65.8 (51.1–80.4)
Recovery of LV systolic dysfunction at discharge, %55.1 (33.4–76.8)
Death, %1.9 (1.0–2.8)

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; BNP, B‐type natriuretic peptide; CLD, chronic lung disease; ECMO, extracorporeal membrane oxygenation; ESR, erythrocyte sedimentation rate; ICU, intensive care unit; IL, interleukin; LV left ventricular; LVEF, left ventricular ejection fraction; MIS‐C, multisystem inflammatory syndrome in children; NA, not available, NT‐proBNP, N‐terminal proBNP; TNF‐α, tumor necrosis factor‐α.

Random‐effects estimate (95% confidence interval [CI]) of the demographics, clinical characteristics, treatment, outcomes, laboratory, echocardiogram, and imaging findings of the patients with MIS‐C Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; BNP, B‐type natriuretic peptide; CLD, chronic lung disease; ECMO, extracorporeal membrane oxygenation; ESR, erythrocyte sedimentation rate; ICU, intensive care unit; IL, interleukin; LV left ventricular; LVEF, left ventricular ejection fraction; MIS‐C, multisystem inflammatory syndrome in children; NA, not available, NT‐proBNP, N‐terminal proBNP; TNF‐α, tumor necrosis factor‐α. All the included articles were published between May 2020 and July 2020. Twelve studies were conducted in the United States, , , , , , , , , , , , 7 in the United Kingdom, , , , , , , 6 in France, , , , , , and 1 each in Italy  and Spain. Overall, the studies included 917 patients with MIS‐C associated with SARS‐CoV‐2 infections.

Demographic features

The mean age was 9.3 (95% confidence interval [CI], 8.4–10.1; I 2 = 77.6%) and males were 56.8% (95% CI, 52.1–61.5; I 2 = 41.6%) (Figure 2). The pooled proportions of Hispanic and Black cases were 34.6% (95% CI, 28.3–40.9; I 2 = 41.6%) and 31.5% (95% CI, 24.8–38.1; I 2 = 63.4%), respectively, which was higher compared to the other race/ethnicities. In addition, at least one comorbidity was present in 30.7% (95% CI, 24.7–36.7; I 2 = 48.1%) of the population, including obesity and asthma or chronic lung disease (Table 1).
Figure 2

Forrest plots of the included studies showing the pooled estimate of the age [Color figure can be viewed at wileyonlinelibrary.com]

Forrest plots of the included studies showing the pooled estimate of the age [Color figure can be viewed at wileyonlinelibrary.com]

Clinical symptoms

The most common symptom was fever (99.3%; 95% CI, 98.8–99.9; 804/809 patients; I 2 = 0%), followed by gastrointestinal symptoms (87.3%; 95% CI, 82.9–91.6; 564/653 patients; I 2 = 84.2%) and abdominal pain (70.1%; 95% CI, 58.4–81.7; 245/378 patients; I 2 = 65.3%). The pooled prevalence of respiratory symptoms was 40.7% (95% CI, 23.1–58.1; 259/488 patients; I 2 = 94.2%), however, only 7 studies reported respiratory symptoms. The pooled prevalence of neurologic symptoms was 36.0% (95% CI, 22.8–49.2; 98/459 patients; I 2 = 90.2%). Commonly reported symptoms similar to KD were conjunctivitis (57.0%; 95% CI, 47.3–66.6; 405/766 patients; I 2 = 87.2%), rash (59.0%; 95% CI, 52.8–65.2; 436/770 patients; I 2 = 62.3%), and oral mucosal changes (42.3%; 95% CI, 31.7–53.0; 235/595 patients; I 2 = 42.3%) (Table 1).

Laboratory findings

Laboratory findings are shown in Figure 3, Table 1, and Figure S1. Inflammatory biomarkers, such as C‐reactive protein, procalcitonin, ferritin, erythrocyte sedimentation rate, interleukin‐6 (IL‐6) and fibrinogen, were significantly elevated (Figure 3 and Figure S1). In addition, cardiac markers were elevated with marked elevations in B‐type natriuretic peptide, N‐terminal proB‐type natriuretic peptide, and troponin (Figure 3). The majority of patients had elevated levels of ‐dimer, elevated neutrophils, reduced lymphocytes, and low albumin (Figure 3 and Figure S1). Forrest plots of the included studies showing the pooled estimate of the laboratory findings. (A) C‐reactive protein. (B) Ferritin. (C) Interleukin‐6. (D) ‐dimer. (E) Troponin. (F) B‐type natriuretic peptide. (G) N‐terminal proB‐type natriuretic peptide [Color figure can be viewed at wileyonlinelibrary.com]

Echocardiography and radiology findings

According to the echocardiography findings, cardiovascular involvement was common (Table 1). Left ventricular (LV) systolic dysfunction, defined as a depressed LV ejection fraction (<50%) or myocarditis was identified in 55.3% (95% CI, 42.4–68.2; 410/773 patients; I 2 = 94.6%). The mean LV ejection fraction at admission was 41.7% (95% CI, 36.1–47.4; I 2 = 91.4%). The pooled prevalence of coronary artery dilation or aneurysms was 21.7% (95% CI, 12.8–30.1). Finally, the proportion of chest X‐ray findings, such as infiltrates or opacities was 38.3% (95% CI, 29.7–46.9; 133/341 patients; I 2 = 46.6%) (Table 1).

Treatment and outcomes

The pooled proportions of the therapeutic management and outcomes are shown in Table 1. Overall, 79.1% (95% CI, 71.6–86.7; 550/725 patients; I 2 = 89.4%) required admission to the intensive care unit. The most common therapy was intravenous immunoglobulin (IVIG) (81.0%; 95% CI, 75.0–86.9; 608/787 patients; I 2 = 84.7%), followed by aspirin (67.3%; 95% CI, 48.8–85.7; 147/235 patients; I 2 = 93.7%), systemic corticosteroids (63.6%; 95% CI, 53.4–73.8; 434/714 patients; I 2 = 88.6%), inotropes (62.9%; 95% CI, 53.2–72.6; 469/770 patients; I 2 = 87.8%), and anticoagulation (56.5%; 95% CI, 41.8–71.1; 261/466 patients; I 2 = 91.1%). A range of anti‐inflammatory biologics and antiviral agents were used including tocilizumab, anakinra, infliximab, and remdesivir (Table 1). Overall, 33.0% (95% CI, 24.5–41.5; 252/891 patients; I 2 = 91.5%) required mechanical ventilation. The rate of extracorporeal membrane oxygenation (ECMO) use was 6.3% (95% CI, 2.8–9.8; 36/553 patients; I 2 = 60.4%). Overall, 44.3% (95% CI, 34.7–53.9; 256/590 patients; I 2 = 80.5%) received a diagnosis of KD or atypical KD and 65.8% (95% CI, 51.1–80.4; 357/615 patients; I 2 = 95.8%) developed shock. At time of hospital discharge, recovery of LV systolic function, which was defined as an LV ejection fraction of more than 60%, was observed in 55.1% (95% CI, 33.4–76.8; 79/145 patients; I 2 = 88.3%). The mortality rate was 1.9% (95% CI, 1.0–2.8; 16/917 patients; I 2 = 0%) (Table 1).

DISCUSSION

This systematic review and meta‐analysis comprehensively summarized the available published literature and assessed the clinical characteristics and management of MIS‐C associated with COVID‐19. The salient findings of our study can be summarized as follows: (1) the mean age was 9.3 years; (2) the majority of MIS‐C cases were Hispanic and Black children; (3) the common symptoms were fever, gastrointestinal symptoms, and dermatologic or mucocutaneous symptoms; (4) the inflammatory markers, ‐dimer, and cardiac markers were significantly elevated; (5) cardiovascular involvement was common, including shock and myocardial dysfunction; (6) MIS‐C patients were commonly treated with IVIG, aspirin, and systemic corticosteroid; and (7) myocardial dysfunction improved in many cases but the rate of ECMO use and the mortality rate were high. Identification of MIS‐C is crucial as it can result in severe organ dysfunction, including myocardial dysfunction, even leading to death. , MIS‐C has been reported to occur approximately 2–4 weeks after infection with SARS‐CoV‐2. The interval between SARS‐CoV‐2 infection and MIS‐C which may result from immune response to infection with SARS‐CoV‐2. Although both the Centers for Disease Control and Prevention and World Health Organization case definitions may apply to patients with other infectious and inflammatory conditions, such as KD, viral infections, and juvenile idiopathic arthritis, the findings of our study are consistent with the current diagnostic guidelines. , , Our data indicated that MIS‐C patients commonly present with gastrointestinal, dermatologic, or mucocutaneous symptoms, and cardiovascular manifestations, as well as elevated inflammatory and cardiac marker levels. Furthermore, compared to acute COVID‐19, we found that the prevalence of neurological symptoms was higher in MIS‐C, with a lower prevalence of respiratory symptoms. , , , Interestingly, our study also showed that infiltrates or opacities were less frequent in MIS‐C, whereas these are common findings in acute COVID‐19. , , , , These findings can be useful clues to the development of an accurate diagnosis and case definition of MIS‐C. MIS‐C and KD have clinical similarities and there is no definitive diagnostic test for either MIS‐C or KD, resulting in diagnostic difficulty. Although MIS‐C shares clinical features with KD, we demonstrated that these syndromes have important distinct features. As previously reported, we confirmed that MIS‐C affects older children and adolescents, which is in a marked contrast to the epidemiology of KD, occurring predominantly in children 5 years of age or younger and with a peak incidence at 9–11 months of age. Interestingly, the proportions of Hispanic and Black cases were high for MIS‐C with few cases reported in children of Asian descent or in Asian countries in contrast to KD. This might be associated with the socioeconomic disparities as the rates of COVID‐19 were shown to be higher among racial/ethnic minorities and socioeconomically disadvantaged children. In addition, we noted that MIS‐C manifests with a higher incidence of myocardial dysfunction and gastrointestinal symptoms compared to KD. Furthermore, the extent of the elevation of inflammatory biomarkers and cardiac markers in MIS‐C are significantly higher than in KD. , These marked differences in the epidemiology and clinical and laboratory findings suggest that MIS‐C and KD are two distinct disease with overlapping clinical characteristics. Kawasaki disease shock syndrome (KDSS), a rare form of KD, has many similarities to MIS‐C. The incidence of KDSS is 1.5% to 7.0% of KD patients and is higher in Western countries than Asian countries. KDSS is previously found to be associated with an older age and is characterized as hyperinflammation with higher C‐reactive protein, procalcitonin, erythrocyte sedimentation rate, IL‐6, and ‐dimer as compared to KD. In addition, KDSS is often associated with myocarditis and prolonged myocardial dysfunction. , Patients with KDSS often requires intensive care in the acute phase such as intravenous fluid resuscitation and inotropes. These features of KDSS are consistent with our findings of MIS‐C. However, resistance to IVIG and coronary artery abnormalities are more common in KDSS and gastrointestinal symptoms are more common in MIS‐C. A great uncertainty still exists regarding the link between MIS‐C and KDSS related to COVID‐19, and further research is needed to better understand MIS‐C, KD, and KDSS. Patients with MIS‐C are currently managed in different ways based on symptoms, using standard protocol for KD, or COVID‐19 treatment for adult patients. In this study, we report that the most common treatments were IVIG, aspirin, and corticosteroids, extrapolated from KD management. These standard treatments for KD were primarily used based on the known efficacy in preventing coronary aneurysms in this population. In addition, several MIS‐C patients received anti‐inflammatory biologics and antiviral therapies. Tocilizumab, an IL‐6 receptor antagonist, and Anakinra, an IL‐1 receptor antagonist, have been used for the treatment of severe COVID‐19 in adults, although safety and efficacy has been controversial. , , , Infliximab, an anti‐human tumor necrosis factor‐α (TNF‐α) monoclonal antibody, is effective against several inflammatory diseases including KD thus maybe an interesting agent in the MIS‐C population. , Furthermore, remdesivir, which is a nucleoside analogue that inhibits viral RNA polymerases, has been shown to be associated with the clinical improvement in adults with COVID‐19. , , Given the presentation of shock, MIS‐C cases required inotropes and intensive care, including mechanical ventilation and ECMO. The rate of ECMO use and the mortality rate in MIS‐C were extremely higher than that in children with acute COVID‐19 or KD. , Our findings demonstrated heterogeneity in management of MIS‐C. Further studies including randomized clinical trials or global registries are required to determine what treatments are beneficial against distinct manifestations of MIS‐C, such as shock and myocardial dysfunction, hopefully improving the high mortality rate. Myocardial dysfunction is a more common cardiovascular complication in MIS‐C than coronary artery dilation or aneurysms, unlike in KD. We revealed that the majority of MIS‐C patients recovered successfully with a relatively high rate of improvement in myocardial dysfunction, however, the underlying mechanism of myocardial dysfunction in MIS‐C has not been fully elucidated. The pathogenesis of myocardial injury characterized by the elevation of cardiac troponin in acute COVID‐19 can be direct damage of myocardial cells by the virus or a severe cytokine storm induced by inflammatory responses, leading to myocarditis. , , , , Recent studies have identified that IL‐6 is elevated in COVID‐19 patients with myocarditis and IL‐6 plays a crucial role in a cytokine storm associated with COVID‐19 by forming hyperinflammation and promoting the production of the coagulation cascade activator plasminogen activator inhibitor‐1. In addition, they found that the inhibition of IL‐6 signaling by tocilizumab treatment decreased plasminogen activator inhibitor‐1 production and resolved clinical manifestations in severe COVID‐19. Therefore, a potential mechanism for myocardial injury in MIS‐C may be a cytokine storm induced by IL‐6, leading to the development of fulminant myocarditis. In contrast, immunological activation accompanied by secretion of TNF‐α is an essential predisposing factor to exacerbate vascular damage in KD, resulting in coronary artery aneurysms. Given the differences in cytokines, anti‐IL‐6 treatment might be a potential therapeutic option for MIS‐C in addition to IVIG and steroids as opposed to anti‐TNF‐α therapy for KD. To date, the long‐term morbidity and outcomes of MIS‐C, such as sequelae of myocardial dysfunction and coronary artery aneurysm formation remain unknown. Future research is needed to understand which treatment could prevent myocarditis and coronary artery aneurysms as well as tracking long‐term cardiac co‐morbidities. Radia et al. reported a systematic review of MIS‐C. They summarized the clinical, biochemical, radiological, and microbiological features of 783 cases of MIS‐C between March to June, 2020. Compared to this systematic review, the novelty of our study lies on the examination of the pooled estimates across published observational studies on MIS‐C using one‐group meta‐analysis in a random‐effects model. We identified more cases of MIS‐C through a longer‐term literature search and examined more variables. The pooled estimates of a variety of clinical findings would provide novel insights into understanding the full spectrum of MIS‐C. In particular, more detailed and specific data such as on the race/ethnicity, inflammatory and cardiac markers, infiltrates or opacities, myocardial dysfunction, coronary artery abnormalities, and treatment would be useful for a diagnosis and management of MIS‐C as well as the exploration of the risk factors and susceptibility for MIS‐C and COVID‐19. This study had several limitations to be noted. First, the available studies were observational studies or case series, which are subject to methodological biases or publication biases. However, only observational studies are currently available describing the clinical features of MIS‐C patients, and our study is crucial to assess the current data on MIS‐C. Second, the data on some variables were not available in all studies or were not reported consistently. Third, the lack of a universal case inclusion criteria or diagnostic test could lead to a misdiagnosis or underreporting of MIS‐C cases. Finally, the studies were from the United States and European countries, which limit generalizability of findings.

CONCLUSION

Our findings demonstrated MIS‐C could lead to severe multisystem dysfunction, including myocardial dysfunction and coronary artery dilation or aneurysms. MIS‐C has distinct features from KD, including an older age at onset and higher incidence of gastrointestinal symptoms and myocardial dysfunction with elevated inflammatory and cardiac markers. Most cases of MIS‐C are treated by extrapolating from standard protocols for KD with a variety of anti‐inflammatory agents. Although myocardial injury improved in many cases at discharge, the rate of ECMO use and the mortality rate were higher than that in children with acute COVID‐19 or KD. These findings provide insights into understanding the clinical characteristics and establishing specific diagnostic criteria and management of MIS‐C. Further studies with large cohorts of MIS‐C patients are necessary to investigate the pathophysiology, full spectrum of the clinical features, optimal treatment and long‐term outcomes of this population.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

AUTHOR CONTRIBUTIONS

Jun Yasuhara: conceptualization (lead); data curation (lead); formal analysis (lead); investigation (lead); methodology (lead); project administration (lead); resources (lead); software (lead); validation (lead); visualization (lead); writing original draft (lead); writing review & editing (lead). Kae Watanabe: formal analysis (supporting); investigation (supporting); validation (supporting); writing review & editing (supporting). Hisato Takagi: investigation (supporting); supervision (supporting); validation (supporting); writing review & editing (supporting). Naokata Sumitomo: investigation (supporting); supervision (equal); validation (supporting); writing review & editing (supporting). Toshiki Kuno: conceptualization (supporting); data curation (supporting); formal analysis (supporting); investigation (supporting); methodology (supporting); supervision (equal); validation (supporting); writing review & editing (supporting). Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. Supporting information. Click here for additional data file. FIGURE S1 Forrest Plots of the Included Studies Showing the Pooled Estimate of the Laboratory Findings. (A) Procalcitonin. (B) Erythrocyte sedimentation rate. (C) Fibrinogen. (D) Lactate dehydrogenase. (E) White blood cell count. (F) Neutrophil count. (G) Lymphocyte count. (H) Platelet count. Click here for additional data file.
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1.  Testing a tool for assessing the risk of bias for nonrandomized studies showed moderate reliability and promising validity.

Authors:  Soo Young Kim; Ji Eun Park; Yoon Jae Lee; Hyun-Ju Seo; Seung-Soo Sheen; Seokyung Hahn; Bo-Hyoung Jang; Hee-Jung Son
Journal:  J Clin Epidemiol       Date:  2013-01-18       Impact factor: 6.437

2.  Real-world Safety and Effectiveness of Infliximab in Pediatric Patients With Acute Kawasaki Disease: A Postmarketing Surveillance in Japan (SAKURA Study).

Authors:  Masaru Miura; Tohru Kobayashi; Toru Igarashi; Hiromichi Hamada; Naomi Iwata; Yoshifumi Sasaki; Miyuki Matsukawa; Noriko Sato; Hajime Kubo; Syuji Takei
Journal:  Pediatr Infect Dis J       Date:  2020-01       Impact factor: 2.129

3.  Epidemiology of COVID-19 Among Children in China.

Authors:  Yuanyuan Dong; Xi Mo; Yabin Hu; Xin Qi; Fan Jiang; Zhongyi Jiang; Shilu Tong
Journal:  Pediatrics       Date:  2020-03-16       Impact factor: 7.124

4.  Peripheral blood monocyte/macrophages and serum tumor necrosis factor in Kawasaki disease.

Authors:  S Furukawa; T Matsubara; K Jujoh; K Yone; T Sugawara; K Sasai; H Kato; K Yabuta
Journal:  Clin Immunol Immunopathol       Date:  1988-08

5.  Cardiac Involvement in a Patient With Coronavirus Disease 2019 (COVID-19).

Authors:  Riccardo M Inciardi; Laura Lupi; Gregorio Zaccone; Leonardo Italia; Michela Raffo; Daniela Tomasoni; Dario S Cani; Manuel Cerini; Davide Farina; Emanuele Gavazzi; Roberto Maroldi; Marianna Adamo; Enrico Ammirati; Gianfranco Sinagra; Carlo M Lombardi; Marco Metra
Journal:  JAMA Cardiol       Date:  2020-07-01       Impact factor: 14.676

6.  Characteristics and Outcomes of Children With Coronavirus Disease 2019 (COVID-19) Infection Admitted to US and Canadian Pediatric Intensive Care Units.

Authors:  Lara S Shekerdemian; Nabihah R Mahmood; Katie K Wolfe; Becky J Riggs; Catherine E Ross; Christine A McKiernan; Sabrina M Heidemann; Lawrence C Kleinman; Anita I Sen; Mark W Hall; Margaret A Priestley; John K McGuire; Konstantinos Boukas; Matthew P Sharron; Jeffrey P Burns
Journal:  JAMA Pediatr       Date:  2020-09-01       Impact factor: 16.193

Review 7.  Pharmacologic Treatments for Coronavirus Disease 2019 (COVID-19): A Review.

Authors:  James M Sanders; Marguerite L Monogue; Tomasz Z Jodlowski; James B Cutrell
Journal:  JAMA       Date:  2020-05-12       Impact factor: 56.272

8.  An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study.

Authors:  Lucio Verdoni; Angelo Mazza; Annalisa Gervasoni; Laura Martelli; Maurizio Ruggeri; Matteo Ciuffreda; Ezio Bonanomi; Lorenzo D'Antiga
Journal:  Lancet       Date:  2020-05-13       Impact factor: 79.321

9.  Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19).

Authors:  Tao Guo; Yongzhen Fan; Ming Chen; Xiaoyan Wu; Lin Zhang; Tao He; Hairong Wang; Jing Wan; Xinghuan Wang; Zhibing Lu
Journal:  JAMA Cardiol       Date:  2020-07-01       Impact factor: 14.676

10.  Clinical Characteristics of 58 Children With a Pediatric Inflammatory Multisystem Syndrome Temporally Associated With SARS-CoV-2.

Authors:  Elizabeth Whittaker; Alasdair Bamford; Julia Kenny; Myrsini Kaforou; Christine E Jones; Priyen Shah; Padmanabhan Ramnarayan; Alain Fraisse; Owen Miller; Patrick Davies; Filip Kucera; Joe Brierley; Marilyn McDougall; Michael Carter; Adriana Tremoulet; Chisato Shimizu; Jethro Herberg; Jane C Burns; Hermione Lyall; Michael Levin
Journal:  JAMA       Date:  2020-07-21       Impact factor: 157.335

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1.  Recent research on the application of biologics in the treatment of multisystem inflammatory syndrome in children after SARS-CoV-2 infection.

Authors:  Han-Yu Cui; Chang-Ping Hu
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2022-02-15

2.  Incidence and outcomes of SARS-CoV-2-associated PIMS in Germany: a nationwide analysis.

Authors:  Christian Karagiannidis; Leif-Erik Sander; Marcus A Mall; Reinhard Busse
Journal:  Infection       Date:  2022-06-30       Impact factor: 7.455

3.  Multisystem inflammatory syndrome in children (MIS-C) temporally associated with SARS-CoV-2: the first clinical case in Ternopil, Ukraine.

Authors:  Halyna Pavlyshyn; Viktoriia Slyva; Olha Dyvonyak; Ivanna Horishna
Journal:  Germs       Date:  2021-03-15

Review 4.  Pediatric Inflammatory Multisystem Syndrome (PIMS) - Potential role for cytokines such Is IL-6.

Authors:  L Lacina; J Brábek; Š Fingerhutová; J Zeman; K Smetana
Journal:  Physiol Res       Date:  2021-04-30       Impact factor: 1.881

5.  Clinical Characteristics and Pulmonary Computerized Imaging Findings of Critically Ill Egyptian Patients with Multisystem Inflammatory Syndrome in Children.

Authors:  Hanan M Ibrahim; Shaimaa Abdelsattar Mohammad; Eman Fouda; Khaled Abouelfotouh; Neveen M Habeeb; Ahmed Rezk Rezk; Sondos Magdy; Ahmad M Allam; Sanaa A Mahmoud
Journal:  Glob Pediatr Health       Date:  2022-04-07

6.  COVID-19 and multisystem inflammatory syndrome in children: A systematic review and meta-analysis.

Authors:  Jun Yasuhara; Kae Watanabe; Hisato Takagi; Naokata Sumitomo; Toshiki Kuno
Journal:  Pediatr Pulmonol       Date:  2021-01-11

7.  Cervical abscess caused by methicillin-susceptible Staphylococcus aureus in an infant infected with SARS-CoV-2: Diagnostic dilemma.

Authors:  Sema Yildirim Arslan; Zumrut Sahbudak Bal; Gizem Guner Ozenen; Nimet Melis Bilen; Zafer Kurugol; Ferda Ozkinay
Journal:  J Infect Chemother       Date:  2021-03-27       Impact factor: 2.065

Review 8.  Clinical features and follow-up of pediatric patients hospitalized for COVID-19.

Authors:  Feng Tang; Wanjun Luo; Xiaowen Wang; Hui Li; Hong Mei; Jianbo Shao; Qifa Song
Journal:  Pediatr Pulmonol       Date:  2021-04-14

9.  COVID-19 Infection in Spinal Muscular Atrophy Associated with Multisystem Inflammatory Syndrome.

Authors:  Rafat Mosalli; Amirah Al Matrafi; Mohammed A Ghazi; Gamal A Aboumousatafa; Bosco Paes
Journal:  Case Rep Pediatr       Date:  2021-06-30

10.  Management of Children Admitted to Hospitals across Bangladesh with Suspected or Confirmed COVID-19 and the Implications for the Future: A Nationwide Cross-Sectional Study.

Authors:  Kona Chowdhury; Mainul Haque; Nadia Nusrat; Nihad Adnan; Salequl Islam; Afzalunnessa Binte Lutfor; Dilara Begum; Arif Rabbany; Enamul Karim; Abdul Malek; Nasim Jahan; Jesmine Akter; Sumala Ashraf; Mohammad Nazmul Hasan; Mahmuda Hassan; Najnin Akhter; Monika Mazumder; Nazmus Sihan; Nurun Naher; Shaheen Akter; Sifat Uz Zaman; Tanjina Chowdhury; Jebun Nesa; Susmita Biswas; Mohammod Didarul Islam; Al Mamun Hossain; Habibur Rahman; Palash Kumar Biswas; Mohammed Shaheen; Farah Chowdhury; Santosh Kumar; Amanj Kurdi; Zia Ul Mustafa; Natalie Schellack; Marshall Gowere; Johanna C Meyer; Sylvia Opanga; Brian Godman
Journal:  Antibiotics (Basel)       Date:  2022-01-14
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