Skip to main content

Multicolored MIS-C, a single-centre cohort study

Abstract

Background

The aim of this study was to investigate the clinical and laboratory parameters that can predict the severity of Multisystem Inflammatory Syndrome in Children (MIS-C) at admission.

Methods

We conducted a single-center, partly retrospective, partly prospective, observational cohort study between November 1, 2020 and December 31, 2021, which included patients aged from 1 month to 19 years, meeting the diagnostic criteria of MIS-C. We categorized the patients into three subgroups based on clinical and laboratory markers and assessed the predictive value of these factors in terms of ICU administration and cardiac abnormalities.

Results

53 patients were classified in the following subgroups: Kawasaki-like disease (group 1) (47.2%, n = 25), shock with or without acute cardiac dysfunction (group 2) (32%, n = 17), fever and inflammation (group 3) (20.8%, n = 11). Subgroup analysis revealed that patients with shock and KD at initial presentation had significantly more severe manifestation of MIS-C requiring intensive care unit (ICU) treatment. Of the initial laboratory values, only CRP showed a significant difference between the 3 clinical groups, being lower in group 3. 52.6% of patients were admitted to the ICU. The median length of ICU stay was 3 days (range 3–20). ICU admission was more likely in patients with shortness of breath, renal failure (AKI) and patients with significantly increased concentrations of ferritin, D-dimer, INR and significantly milder increase concentration of fibrinogen. We found that fibrinogen and ferritin levels are independent risk factors for ICU admission. Cardiac abnormalities were found in 56.6% of total (30/53), with the following findings: decreased left ventricular function (32%), coronary abnormality (11.3%), pericardial effusion (17%), arrhythmia (32.1%) and mitral regurgitation (26.6%). Diarrhea and conjunctivitis at the initial presentation with significantly elevated CRP, Pro-BNP and blood pH concentrations were found to be a potential predisposing factor for decreased cardiac function while Pro-BNP and pH were independent risk factors for MIS-C. Regardless of the initial symptoms of MIS-C, the outcome was generally favorable.

Conclusions

Clinical characteristics and baseline laboratory values ​​may help identify patients at increased risk for severe disease outcome, such as need for intensive care, presence of shock and decreased cardiac function.

Trial registration

Participation consent was not reqired and ethical considerations were unnecessary, since we did not perform any extra interventions, only the necessary and usual therapeutic and diagnostic methods were used.

Peer Review reports

Background

The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which leads to COVID-19, has rapidly spread worldwide, and although children have been relatively spared, a rare but severe hyperinflammatory condition known as multisystem inflammatory syndrome in children (MIS-C) or pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) has been observed since April 2020 in Europe [1,2,3]. This condition typically occurs four weeks after a mostly asymptomatic or slightly symptomatic SARS-CoV-2 infection, and it is characterized by a variety of symptoms that overlap with Kawasaki disease (KD), toxic shock syndrome (TSS), sepsis, and macrophage activation syndrome (MAS) [3,4,5].

New, mostly overlapping case definitions helped identify patients with MIS-C [6,7,8]. For the proper diagnosis parallel inflammation in laboratory tests and multiorgan involvement have to be confirmed, including cardiac, gastrointestinal, haematological, mucocutaneous, neurological, respiratory, and renal systems. It is important to exclude other alternative diseases like TSS, KD or sepsis and prove a link to SARS-CoV-2 infection [6,7,8].

Series of cases and summary reports from around the world help determine the most common clinical features of MIS-C [9,10,11,12]. Gastrointestinal symptoms are common and prominent, occurring in 60–100% of children with MIS-C, which may even lead to laparoscopy due to suspicion of appendicitis [13, 14]. Most children with MIS-C have cardiovascular complications such as shock, decreased cardiac function, and coronary artery dilatation [15]. Approximately 60% of patients are admitted to intensive care unit (ICU) and the mortality rate can reach 2% [11].

The identification of prognostic factors that are associated with a poor outcome in multisystem inflammatory syndrome in children (MIS-C) is crucial for initiating early treatment decisions and the use of immunomodulatory therapy [16,17,18,19]. Despite recent studies that have proposed plausible prognostic factors for severe outcomes, high-level evidence is still lacking [20, 21].

The objective of this study is to provide a comprehensive description of the clinical, laboratory, and radiological characteristics, as well as the outcomes, of a larger cohort of children with MIS-C. The study aims to facilitate the early identification of critically ill patients with MIS-C, with the ultimate goal of improving their outcomes.

Materials and methods

Study design and patient selection

This was a single-centre (Department of Pediatrics, University of Debrecen), partly retrospective, partly prospective, observational cohort study conducted between November 1, 2020 and December 31, 2021 on patients from 1 months to 19 years who met the diagnostic criteria of MIS-C as defined by Centers for Disease Control and Preventation (CDC) [7]. The US CDC case definition was used to identify patients with MIS-C where all 4 criteria must be met: (I) age: <21 years), (II) Clinical presentation: fever > 38.0 °C for ≥ 24 h AND laboratory evidence of inflammation (any of the followings: elevated C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fibrinogen, procalcitonin (PCT), D-dimer, ferritin, lactic acid dehydrogenase (LDH), interleukin 6 (IL-6), neutrophils, reduced lymphocytes, low albumin) AND severe illness requiring hospitalization, with multisystem (2 or more than 2) organ involvement (cardiovascular, respiratory, renal, neurologic, hematologic, gastrointestinal, dermatologic) (III) no alternative plausible diagnoses; (IV) current or recent SARS-CoV-2 infection diagnosed by a positive reverse transcription polymerase chain reaction (RT-PCR) or positive antigen test or positive serological tests (IgM, IgG or IgA), or exposure to a suspected or confirmed COVID-19 case (epidemiologic link) within four weeks prior to the onset of symptoms.

In this study, we divided patients into three subgroups, with the aim of identifying clinical characteristics at the time of admission that could predict severe outcomes and searching for prognostic factors among patients admitted to the intensive care unit or with cardiac dysfunction. The three subgroups were as follows: Group 1, KD-like patients were diagnosed using the American Heart Association (AHA) definition with or without the presence of shock or myocardial dysfunction which included classic type (persistent fever ≥ 5 days together with at least 4 of the 5 principal clinical features), and incomplete type (persistent fever ≥ 5 days together with 2 or 3 of the 5 principal clinical features plus additional laboratory or echocardiographic findings) [22]; Group 2, patients with different types of shock (defined as hypotension, reliance on vasoactive agents to maintain normotension, or signs of inadequate tissue perfusion such as prolonged capillary refill time, oliguria, metabolic acidosis, or elevated serum lactate), with or without cardiac dysfunction (defined as ejection fraction < 55%), who did not fulfill KD criteria; and Group 3, patients with fever and inflammation, who did not meet either KD criteria or symptoms of shock.

Data collection

Demographic, clinical, epidemiological, radiological, laboratory and outcome data were partly retrospectively, partly prospectively collected including: (1) demographic characteristics: age, sex; (2) medical history of comorbidity, obesity (body mass index (BMI): according to the WHO child growth standards, weight/age ratio); (3) main laboratory findings at presentation: platelet count, white blood cell count, lymphocyte count, CRP, PCT, IL-6, D-dimer, fibrinogen, cardiac troponin-T, Pro-B type natriuretic peptide (pro-BNP), ferritin, blood gas values (4) main clinical symptoms at presentation: fever, mucocutaneous involvement, nonsuppurative conjunctivitis, gastrointestinal symptoms, respiratory symptoms, cardiovascular symptoms, neurologic symptoms, renal symptoms; (5) electrocardiogram (ECG) abnormality at presentation and during treatment, echocardiography within 24 h of admission and subsequently during treatment; (6) testing for SARS-CoV-2: RT-PCR using oro/nasopharyngeal swabs or tracheal aspirates and/or antigen test using oro/nasopharyngeal swabs and/or serological test. COVID-19 serology testing was performed by two immunoassays: Cobas® anti-SARS-CoV-2 Ig tests were used to quantify total SARS-CoV-2 antibodies against N-protein and S-RBD protein, respectively (Roche Diagnostics, Mannheim, Germany). These tests consisted of electro-chemiluminescence indirect assay (ECLIA) and included recombinant N or S-RBD antigens, which bound serum antibodies in a double-antigen sandwich setup. Seropositivity was evaluated based on the manufacturer’s cut-off values of 1.0 (COI) and 0.8 U/mL, respectively. (7) clinical outcome: the length of time spent in the intensive care unit, days of oxygen requirement, inotropic support, mortality, short-term (6-month follow-up studies) consequences.

Data processing and statistical analysis

Demographic, clinical, laboratory and outcome data were analyzed in all 3 groups both on the basis of clinical presentation (Kawasaki-like disease, different types of shock, fever and inflammation) and the need of ICU observation/treatment as well as the lack or presence of acute cardiac dysfunction. Continuous variables were described as medians and interquartile ranges (IQRs) or (mean and ER) and categorical variables as frequencies and percentages. Laboratory values ​​were also reported as the proportion of aberrant values. Numeric variables were compared using unpaired Student’s T-test or one-way analysis of variance (ANOVA). In case of categorical variables, we performed Chi square (or Fisher’s exact test). For the post hoc tests we applied Bonferroni correction method. We performed univariate regression analysis on all the potential risk factors. For multivariate logistic regression model we used the variables with a p value lower than 0.1 at univariate level. We calculated the crude odds ratios (OR) at univariate level, and adjusted OR values at multivariate level with 95% confidence interval (CI) to demonstrate the differences in regression analysis. We used SPSS V.25 program for statistical calculations. Statistical significance was accepted when two-sided p was < 0.05.

Results

Nationwide, the number of children diagnosed with MIS-C has accumulated since October 2020 due to a significant increase in the number of acute cases observed in the second wave of the SARS-CoV-2 pandemic. Until 31 December 2021, 53 patients met the MIS-C definition (CDC, 2020) in our institute [7]. There was no death in our patient population. No complications were found on the short-term 6-month follow-up studies. We summarized demographic and clinical parameters of the total study population in Table 1.

Table 1 Demographic characteristics, clinical features, laboratory findings and clinical outcome of all MIS-C patients

Association with SARS-CoV-2 infection was confirmed in 47 patients (88.7%): 12 with positive RT-PCR (22.6%), 42 with positive serology (42/51, 82.4%). In 7 out of the 53 patients (13.2%), both tests were positive. In 6 patients (11.3%) with negative laboratory tests for both RT-PCR and serology, only an epidemiological link was confirmed (Table 1).

Retrospectively, patients were divided into 3 groups based on the leading clinical symptoms at the first visit. The groups were as follows: Kawasaki-like disease 47.2% (group 1) (n = 25), shock with or without acute cardiac dysfunction 32% (group 2) (n = 17), fever and inflammatory group 20.8% (group 3) (n = 11) (Table 2).

Table 2 Demographic and clinical characterstics, laboratory test results and outcome data in the three clinical subgroups of MIS-C patients based on the leading clinical symptoms at the first visit

Patients in the KD group (n = 25, 47.2%) had either complete (n = 14, 56%) or incomplete KD (n = 11, 44%). 6 patients out of 25 required vasoactive drugs (24%), while 10 needed ICU treatment (40%). In patients with KD phenotype, presence of laboratory-confirmed SARS-CoV-2 infection was almost 100% (24/25) (Table 2). The leading symptom in 17 out of 53 patients (32%) was shock due to acute cardiac dysfunction (n = 11, 64.7%) or toxic shock-like syndrome (n = 6, 35.3%). In the group with shock, the median age tends to be higher (9 years), but not significantly compared to other groups. Within the shock group, the most commonly affected organ systems were the cardiovascular (100%) and gastrointestinal (76.5%). Patients had markedly elevated PCT, ferritin, D-dimer and decreased platelet count and albumin level, but these were not statistically significant compared to other groups. Beyond the need of fluid resuscitation (10 ml/kg iv. bolus over 5–10 min) in some cases, 70.6% of the patients required vasoactive drugs (Table 2). In 11 patients (20.8%) predominance of fever and inflammation (did not meet neither KD criteria nor symptoms of shock) was observed in association with other organ (most commonly renal, neurological) involvement. In contrast to the two other groups, COVID-19 RT-PCR positivity (36.4%) and the presence of respiratory symptoms seemed more common in this group (Table 2). Subgroup analysis revealed that patients with shock and KD at initial presentation had significantly more severe manifestation of MIS-C often requiring ICU treatment. However, no significant difference in length of ICU admission was found between patients of either group treated in the ICU. Of the initial laboratory values, only CRP showed a significant difference between the 3 clinical groups, as it was lower in group 3 (group (I) vs. group (II) p = 1; group (I) vs. group III. p = 0.005; group (II) vs. group III.p = 0.021).

We found significant differences in the clinical and laboratory parameters of the potential ICU and non-ICU patients (Table 3).

Table 3 Demographic, clinical characterstics and laboratory test results at admission and outcome data of the ICU and non-ICU patients

A forward stepwise logistic regression analysis was performed to find clinical variables, which predict the necessity of ICU hospitalization as an indirect mode to quantify the severity of MIS-C. We used the variables in which p value was lower than 0.1 at univariate level. We found that fibrinogen and ferritin levels are independent risk factors for ICU admission. Our model explained 48.8% (Nagelkerke R2) of the variance and correctly classified 64.3% of cases. To demonstrate the predictive power of our model we created an ROC curve using the predictive probabilities from logistic regression model. The area under the ROC was 0.817 indicating a good prediction power (Table 4; Fig. 1).

Table 4 Independent risk factors for ICU admission based on multivariate regression analysis
Fig. 1
figure 1

To demonstrate the predictive power of our regression model, we created a ROC curve using the predictive probabilities from the multivariate logistic regression model (Table 4). The area under the ROC curve was 0.817

Cardiac abnormalities were found in 56.6% of the total population. Myocardial dysfunction (left ventricular systolic function with an ejection fraction below 55%, which was calculated based on M-mode measurements) was detected in 17 patients (32%). Coronary artery dilatation could be detected (Z-score > 2.5) in 4 out of 53 patients (11.3%), all of which were reversible. Coronary artery aneurysm did not develop in our patients. Mitral valve regurgitation occurred in a total of 14 cases (26.6%), which recovered during follow up. Pericardial effusion was detected in 9 patients (17%), one of whom was at risk of tamponade. Arrhythmias such as sinus node depression and conduction disturbances were observed often as first symptom during the course, with a total of 17 patients (32.1%) experiencing ECG abnormalities (Table 1). Separate examination of potential predisposing factors for decreased cardiac function revealed that diarrhea (15.2% and 40%, respectively) and conjunctivitis (45.5% and 75%, respectively) occurred more commonly in these patients in parallel with elevated CRP, Pro-BNP concentrations, and pH (Table 5).

Table 5 Demographic, clinical characteristics and laboratory test results at admission and outcome data of the patients with or without decreased cardiac function

To determine which factors are predictive for cardiac abnormalities in MIS-C we created a multivariate regression model using variables where p value was lower than 0.1 at univariate level. Our model showed that Pro-BNP and pH are independent risk factors for MIS-C. The model explained 62.9% (Nagelkerke R2) of the variance and correctly classified 84.1% of cases. To demonstrate the predictive power of our model we created a ROC curve using the predictive probabilities from the multivariate forward stepwise logistic regression model. The area under the ROC was 0.908 indicating a good prediction power (Fig. 2; Table 6).

Fig. 2
figure 2

To demonstrate the predictive power of our regression model, we created a ROC curve using the predictive probabilities from the multivariate logistic regression model (Table 6). The area under the ROC curve was 0.953, which indicates good prediction power

Table 6 Independent risk factors for cardiac dysfunction based on multivariate regression analysis

However, a cut-off value for Pro-BNP indicative of cardiac involvement could not be determined due to the small number of cases.

Discussion

We present one of the first series of MIS-C cases from Hungary, with 52.6% of patients requiring admission to the ICU, which is consistent with other reports [11]. The number of reported MIS-C cases increased significantly during the second wave of the COVID-19 pandemic in Hungary, as seen in Western European countries. The rise in MIS-C cases typically occurred three to four weeks after the peak of COVID-19 cases within communities, as observed in most studies [2, 4, 5, 9].

Despite the severe course of the disease requiring intensive care in many children, the prognosis for MIS-C is generally favorable, with most children achieving complete clinical recovery. None of our patients died, which may be attributed to early diagnosis, adequate treatment, and timely preparation for MIS-C cases based on alerts from European and American notifications [4, 10, 11, 23, 24]. Both the median age of our patient cohort (7 years) and the sex distribution (60.4% male) are similar to that of other reports. Although obesity was the most common associated disease in most reports, it was not observed in our patients, in contrast to the more severe disease course seen in acute SARS-CoV-2 infection [4, 5, 10]. MIS-C related symptoms occurred with a similar frequency in our cohort as it was reported in relevant clinical reports presenting the clinical spectrum of the disease [12].

Given the wide range of clinical manifestation and outcome, the identification of factors associated with more severe outcome in patients with MIS-C may help assess prognosis and make early treatment decisions [4, 11, 20, 21]. We demonstrated that higher D-dimer, ferritin, INR and lower fibrinogen at admission indicate severe course, while higher CRP and Pro-BNP predispose to cardiac involvement in MIS-C. To identify MIS-C patients requiring ICU treatment, several studies and publications are seeking for prognostic factors at admission [20, 21, 25]. A meta-analysis of 787 MIS-C patients revealed that higher levels of leukocyte, absolute neutrophil count, CRP, D-dimer, and ferritin was detected in severe MIS-C patients compared with non-severe MIS-C patients [25]. In another retrospective surveillance study 1080 patients with MIS-C were enrolled. Intensive care was more likely to occur in patients with dyspnoea, abdominal pain, and elevated CRP, troponin, ferritin, D-dimer, Pro-BNP, or IL-6, or decreased platelet or lymphocyte counts [20]. A meta-analysis of 1613 patients showed higher levels of Pro-BNP indicative of cardiac involvement compared to patients with severe MIS-C than in patients with non-severe MIS-C [21, 26].

According to previous literature data, nearly 50% of patients (typically younger patients) belonged to the KD-like group. However, in contrast to the classic (typical) appearance of KD, KD-like MIS-C patients usually had more severe condition (40% required intensive care, 24% received shock management compared to similar entities of the “classic” form of KD, where shock is less common, occurs only in 5% of patients). In accordance with literature data, MIS-C patients tend to be older compared with classical KD patients [22]. Similarly to published case series, symptoms of gastrointestinal involvement were quite common in our cohort (76%), with typically elevated inflammatory parameters and lower platelet counts (Table 1) [27,28,29,30].Coronary heart disease was rare among patients with cardiac symptoms which observation is consistent with data of previous reports [2, 4, 5, 9, 31, 32].

Although, nearly 100% of patients in the shock group required therapy at ICU and 70.6% required vasoactive drugs, no statistically significant differences were found in this group in the initial laboratory studies (except for CRP). The above can be explained not only by the small number of cases but also by the large number of severe patients in the KD group [11].

In 11 patients (group 3) we observed fever and severe inflammation along with other organ involvement, typically renal or neurological involvement. Comparing to the two other groups the presence of respiratory symptoms was far more common in this particular group of patients (difference is not significant). The overlap with acute COVID-19 (36.4% RT-PCR positivity) may be a plausible explanation for that (Table 2) [11].

Subgroup analysis based on clinical presentation showed that baseline laboratory values (excluding CRP, which was significantly lower in group 3), did not differ significantly between the 3 groups. Prognostic factors for either severity or course alone cannot be determined from the initial clinical presentation.

There are several limitations to our study. This study was conducted in a single center, a similar multicenter study with greater power may help validate our results and remove the bias of the study.

Conclusion

Children with MIS-C can present with a variety of clinical manifestations. Our study identified several signs and symptoms, including shortness of breath and renal symptoms, along with abnormal laboratory markers such as elevated ferritin, D-dimer, and INR, and decreased fibrinogen at admission that indicate a severe course and the need for intensive care in our patient population. Higher levels of CRP and Pro-BNP predispose to cardiac involvement in MIS-C. The prognosis of MIS-C is still uncertain, given the novelty of this clinical entity and the lack of long-term follow-up studies [33, 34]. Our results emphasize the importance of rapid diagnostic and therapeutic interventions to prevent long-term complications in patients with suspected MIS-C. Both clinical and laboratory prognostic factors can aid in identifying high-risk patients with a more severe disease course.

Data Availability

Dataset analyzed during the study represent patient’s data available in their medical documentation and the electronic patients’ database (MedSolution, UDMed) of the University of Debrecen for authorized personnel. Petra Varga the first author can be contacted for additional data request (varga.petra@med.unideb.hu).

Abbreviations

MIS-C:

Multisystem Inflammatory Syndrome in Children

ICU:

Intensive care unit

COVID-19:

Coronavirus disease 2019

KD:

Kawasaki disease

CRP:

C-reactive protein

AKI:

Acute kidney injury

INR:

International Normalized Ratio

Pro-BNP:

Pro-B-type natriuretic peptide

SARS-CoV-2:

Severe Acute Respiratory Syndrome Coronavirus 2

PIMS-TS:

Pediatric Inflammatory Multisystem Syndrome Temporally associated with SARS-CoV-2

TSS:

Toxic shock syndrome

MAS:

Macrophage activation syndrome

CDC:

Centers for Disease Control and Prevention

ESR:

Erythrocyte sedimentation rate

PCT:

Procalcitonin

LDH:

Lactic acid dehydrogenase

IL-6:

Interleukin 6

RT-PCR:

Reverse transcription polymerase chain reaction

BMI:

Body mass index

WHO:

World Health Organization

ECG:

Electrocardiogram

IQRs:

Interquartile ranges

OR:

Odds ratio

CI:

Confidence interval

References

  1. Castagnoli R, Votto M, Licari A, et al. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents: a systematic review. JAMA Pediatr. 2020;174:882–9.

    Article  PubMed  Google Scholar 

  2. Verdoni L, Mazza A, Gervasoni A, Gervasoni A, et al. An outbreak of severe Kawasaki-like disease at the italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study. Lancet. 2020;395:1771–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Riphagen S, Gomez X, Gonzalez-Martinez C, et al. Hyperinflammatory shock in children during COVID-19 pandemic. Lancet. 2020;395:1607–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Whittaker E, Bamford A, Kenny J, et al. Clinical characteristics of 58 children with a Pediatric Inflammatory Multisystem Syndrome temporally Associated with SARS-CoV-2. JAMA. 2020;324:259–69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Feldstein LR, Rose EB, Horwitz SM, et al. Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med. 2020;383:334–46.

    Article  CAS  PubMed  Google Scholar 

  6. Royal College of Paediatrics and Child Health Guidance. : Paediatric multisystem inflammatory syndrome temporally associated with COVID-19 [Internet]. RCPCH. Available from: https://www.rcpch.ac.uk/resources/guidance-paediatric-multisystem-inflammatory-syndrome-temporally-associated-covid-19-pims. Accessed 20 Jul 2020.

  7. Centers for Disease Control and Prevention. Multisystem inflammatory syndrome in children (MIS-C) associated with coronavirus disease 2019 (COVID-19) [Internet]. 2020. Available from: https://emergency.cdc.gov/han/2020/han00432.asp. Accessed 20 Jul 2020.

  8. World Health Organization. Multisystem inflammatory syndrome in children and adolescents temporally related to COVID-19 [Internet]. [cited 2020 Jul 29]. Available from: https://www.who.int/news-room/commentaries/detail/multisystem-inflammatory-syndrome-in-children-and-adolescents-with-covid-19

  9. Dufort EM, Koumans EH, Chow EJ, et al. Multisystem inflammatory syndrome in children in New York State. N Engl J Med. 2020;383:347–58.

    Article  CAS  PubMed  Google Scholar 

  10. Levi Hosta, Paemel RV, Haerynck F. Multisystem inflammatory syndrome in children realated to Covid-19: a systematic review. Eur J Pediatr. 2021;180:2019–34.

    Article  Google Scholar 

  11. Godfred-Cato S, Bryant B, Leung J, et al. COVID-19-Assiciated Multisystem Inflammatory Syndrome in Children – United States, March-July 2020. MMWR Morb Mortal Wkly Rep. 2020;69:1074–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Ahmed M, Advani S, Moreira A, et al. Multisystem inflammatory syndrome in children: a systematic review. EClinicalMedicine. 2020;26:100527.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Nakra NA, Blumberg DA, Herrera-Guerra A, et al. Multi-system inflammatory syndrome in children (MIS-C) following SARS-CoV-2 infection: review of clinical presentation, hypothetical pathogenesis, and proposed management. Children. 2020;7:69.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Gerall CD, Duron VP, Griggs CL, et al. Multisystem inflammatory syndrome in Children Mimicking Surgical Pathologies what surgeons need to know about MIS-C. Ann Surg. 2021;273:146–8.

    Article  Google Scholar 

  15. Abrams JY, Godfred-Cato SE, Oster ME, et al. Multisystem inflammatory syndrome in children associated with severe acute respiratory syndrome coronavirus 2: a systematic review. J Pediatr. 2020;226:45–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Henderson LA, Canna SW, Friedman KG, et al. American College of Rheumatology Clinical Guidance for Multisystem Inflammatory Syndrome in Children Associated with SARS-CoV-2 and Hyperinflammation in Pediatric COVID-19: version 2. Arthritis Rheumatol. 2021;73:13–29.

    Article  Google Scholar 

  17. American Academy of Pediatrics clinical guidance. : Multisystem Inflammatory Syndrome in Children (MIS-C), available from: https://services.aap.org/en/pages/2019-novel-coronavirus-covid-19-infections/clinical-guidance/multisystem-inflammatory-syndrome-in-children-mis-c-interim-guidance. Accessed on November 23, 2020.

  18. Harwood R, Allin B, Jones CE, et al. A national consensus management pathway for paediatric inflammatory multisystem syndrome temporally associated with COVID-19 (PIMS-TS): results of a national Delphi process. Lancet Child Adolesc Health. 2021;5:133–41.

    Article  CAS  PubMed  Google Scholar 

  19. Henderson La, Canna SW, Friedman KG, et al. American College of Rheumatology: Clinical Guidance for Pediatric Patients with Multisystem Inflammatory Syndrome in Children (MIS-C) Associated with SARS-CoV-2 and Hyperinflammation in COVID-19: Version 3. Arthritis Rheumatol. 2022;74(4):e1–e20.

    Google Scholar 

  20. Abrams JY, Matthew E, Oster MO, Shana E, Godfred-Cato SE, et al. Factors linked to severe outcomes in multisystem inflammatory syndrome in children (MIS-C) in the USA: a retrospective surveillance study. Lancet Child Adolesc Health. 2021;5:323–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Zhao Y, Patel J, Huang Y, et al. Cardiac markers of multisystem inflammatory syndrome in children (MIS-C) in COVID-19 patients: a meta-analysis. Am J Emerg Med. 2021;49:62–70.

    Article  PubMed  PubMed Central  Google Scholar 

  22. McCrindle BW, Rowley AH, Newburger JW, et al. Diagnosis, treatment, and long-term management of Kawasaki Disease: A Scientific Statement for Health Professionals from the American Heart Association. Circulation. 2017;135:927–99.

    Article  Google Scholar 

  23. Jonat B, Gorelik M, Boneparth A, et al. Multisystem inflammatory syndrome in Children Associated with Coronavirus Disease 2019 in a children’s hospital in New York City: patient characteristics and an institutional protocol for evaluation, management, and Follow-Up. Pediatr Crit Care Med. 2021;22:178–e191.

    Article  Google Scholar 

  24. Ouldali N, Toubiana J, Antona D, et al. Association of intravenous immunoglobulins plus methylprednisolone vs immunoglobulins alone with course of Fever in Multisystem Inflammatory Syndrome in Children. JAMA. 2021;325:855–64.

    Article  CAS  PubMed  Google Scholar 

  25. Zhao Y, Yin L, Patel J, et al. The inflammatory markers of multisystem inflammatory syndrome in children (MIS-C) and adolescents associatedvwith COVID-19: A meta-analysis. J Med Virol. 2021; 93:4358–4369.

  26. Wu J-R, Chen I-C, Dai Z-K, et al. Early elevated B-Type natriuretic peptide levels are Associated with Cardiac Dysfunction and Poor Clinical Outcome in Pediatric Septic Patients. Acta Cardiol Sin. 2015;31:485–93.

  27. Consiglio CR, Cotugno N, Sardh F, Pou C, et al. The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19. Cell. 2020;183:968–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Rowley AH. Understanding SARS-CoV-2-related multisystem inflammatory syndrome in children. Nat Rev Immunol. 2020;20:453–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Rodríguez-Rubio M, Menéndez-Suso JJ, Cámara-Hijón C et al. Cytokine Profile in Children with Severe Multisystem Inflammatory Syndrome Related to the Coronavirus Disease 2019.Online J Pediatr Intensive Care. February24, 2021.

  30. Roasted CA, Chahroudi A, Mantus G, et al. Quantitative SARS-CoV-2 Serology in Children with Multisystem Inflammatory Syndrome (MIS-C). Pediatrics. 2020;146:e2020018242.

    Article  Google Scholar 

  31. Cheung EW, Zachariah P, Gorelik M, et al. Multisystem inflammatory syndrome related to COVID-19 in previously healthy children and adolescents in New York City. JAMA. 2020;324:294–6. https://doi.org/10.1001/jama.2020.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Niaz T, Hope K, Fremed M et al. Role of a Pediatric Cardiologist in the COVID 19 Pandemic.Pediatr Cardiol. 2020; Oct4:1–17.

  33. Alsaied T, Tremoulet AH, Burns JC, Saidi A, Dionne A, Lang SM, Newburger JW, de Ferranti S, Friedman KG. Review of Cardiac involvement in Multisystem Inflammatory Syndrome in Children. Circulation. 2021;143:78–88. https://doi.org/10.1161/CIRCULATIONAHA.120.049836.

    Article  CAS  PubMed  Google Scholar 

  34. Kaushik A, Gupta S, Sood M, et al. A systematic review of Multisystem Inflammatory Syndrome in Children Associated with SARS-CoV-2 infection. Pediatr Infect Dis J. 2020;39:340–6.

    Article  Google Scholar 

Download references

Acknowledgements

N/A.

Authors’ information (optional).

Funding

Open access funding provided by University of Debrecen.

Author information

Authors and Affiliations

Authors

Contributions

All of the listed authors contributed significantly to the publication. TSZ and RK indicated laboratory tests. PV, BB and EB performed data collection. In addition, PV analyzed and interpreted data from pediatric patients with MIS-C. GM performed the majority of cardiac examinations. TSZ and AB played a significant role in writing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Tamás Szabó.

Ethics declarations

The authors declare no competing interests.

Ethics approval and consent to participate

The study was approved by the Scientific Research Ethical Committee of the Medical Research Council of Hungary (DE KK RKEB/IKEB No.: 5831 − 2021) and was performed according to the 2008 Declaration of Helsinki. The consent to participate is not applicable because it was not required for ethical approval, we did not perform any extra interventions, only the necessary and usual therapeutic and diagnostic methods were used. The requirement to obtain informed consent to participate was waived by the Scientific Research Ethical Committee of the Medical Research Council of Hungary.

Consent for publication

not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Varga, P., Balajthy, A., Biró, E. et al. Multicolored MIS-C, a single-centre cohort study. BMC Pediatr 23, 190 (2023). https://doi.org/10.1186/s12887-023-03997-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12887-023-03997-0

Keywords