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      COVID-19–Associated Multisystem Inflammatory Syndrome in Children — United States, March–July 2020

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      , DO 1 , , , MPH 1 , 2 , , MPH 1 , , MD 1 , , MD 1 , , PhD 1 , , MPH 1 , , MPH 1 , 2 , , MPH 1 , , MD 1 , , MD 3 , , MD 3 , , MPH 3 , , PhD 3 , , MS 4 , , MPH 5 , , PhD 6 , , MD 7 , , MD, PhD 8 , , MPH 9 , 10 , , MBBCh 11 , , DVM 12 , 13 , , MPH 1 , 2 , , MD 1 , , MD 1 , , MD 1 , , MD 1 , , MD 1 , California MIS-C Response Team
      Morbidity and Mortality Weekly Report
      Centers for Disease Control and Prevention

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          Abstract

          In April 2020, during the peak of the coronavirus disease 2019 (COVID-19) pandemic in Europe, a cluster of children with hyperinflammatory shock with features similar to Kawasaki disease and toxic shock syndrome was reported in England* ( 1 ). The patients’ signs and symptoms were temporally associated with COVID-19 but presumed to have developed 2–4 weeks after acute COVID-19; all children had serologic evidence of infection with SARS-CoV-2, the virus that causes COVID-19 ( 1 ). The clinical signs and symptoms present in this first cluster included fever, rash, conjunctivitis, peripheral edema, gastrointestinal symptoms, shock, and elevated markers of inflammation and cardiac damage ( 1 ). On May 14, 2020, CDC published an online Health Advisory that summarized the manifestations of reported multisystem inflammatory syndrome in children (MIS-C), outlined a case definition, † and asked clinicians to report suspected U.S. cases to local and state health departments. As of July 29, a total of 570 U.S. MIS-C patients who met the case definition had been reported to CDC. A total of 203 (35.6%) of the patients had a clinical course consistent with previously published MIS-C reports, characterized predominantly by shock, cardiac dysfunction, abdominal pain, and markedly elevated inflammatory markers, and almost all had positive SARS-CoV-2 test results. The remaining 367 (64.4%) of MIS-C patients had manifestations that appeared to overlap with acute COVID-19 ( 2 – 4 ), had a less severe clinical course, or had features of Kawasaki disease. § Median duration of hospitalization was 6 days; 364 patients (63.9%) required care in an intensive care unit (ICU), and 10 patients (1.8%) died. As the COVID-19 pandemic continues to expand in many jurisdictions, clinicians should be aware of the signs and symptoms of MIS-C and report suspected cases to their state or local health departments; analysis of reported cases can enhance understanding of MIS-C and improve characterization of the illness for early detection and treatment. Local and state health departments reported suspected MIS-C patients to CDC using CDC’s MIS-C case report form, which included information on patient demographics, clinical findings, and laboratory test results. Patients who met the MIS-C case definition and were reported to CDC as of July 29, 2020, were included in the analysis. Latent class analysis (LCA), a statistical modeling technique that can divide cases into groups by underlying similarities, was used to identify and describe differing manifestations in patients who met the MIS-C case definition. The indicator variables used in the LCA were the presence or absence of SARS-CoV-2–positive test results by reverse transcription–polymerase chain reaction (RT-PCR) or serology, shock, pneumonia, and involvement of organ systems (i.e., cardiovascular, dermatologic, gastrointestinal, hematologic, neurologic, renal, or respiratory). Three-class LCA was conducted using the R software package “poLCA” with 100 iterations to identify the optimal classification scheme ( 5 ). Clinical and demographic variables were reported for patients by LCA class. Chi-squared or Fisher’s exact tests were used to compare proportions of categorical variables; numeric variables, with medians and interquartile ranges, were compared using the Kruskal-Wallis rank sum test. As of July 29, 2020, a total of 570 MIS-C patients with onset dates from March 2 to July 18, 2020, had been reported from 40 state health departments, the District of Columbia, and New York City (Figure). The median patient age was 8 years (range = 2 weeks–20 years); 55.4% were male, 40.5% were Hispanic or Latino (Hispanic), 33.1% were non-Hispanic black (black), and 13.2% non-Hispanic white (white) (Table 1). Obesity was the most commonly reported underlying medical condition, occurring in 30.5% of Hispanic, 27.5% of black, and 6.6% of white MIS-C patients. FIGURE Geographic distribution of 570 reported cases of multisystem inflammatory syndrome in children — United States, March–July 2020 Abbreviations: DC = District of Columbia; NYC = New York City. The figure is a map of the United States showing the geographic distribution of 570 reported cases of multisystem inflammatory syndrome in children during March–July 2020. TABLE 1 Characteristics of patients (N = 570) reported with multisystem inflammatory syndrome in children (MIS–C) — United States, March–July 2020 Characteristic No. (%) p value Total (N = 570) Latent class analysis group* Class 1 (n = 203) Class 2 (n = 169) Class 3 (n = 198) Sex Female 254 (44.6%) 87 (42.9%) 81 (47.9%) 86 (43.4%) 0.57 Male 316 (55.4%) 116 (57.1%) 88 (52.1%) 112 (56.6%) Age (yrs), median (IQR) 8 (4–12) 9 (6–13) 10 (5–15) 6 (3–10) <0.01 Race/Ethnicity Hispanic 187 (40.5%) 62 (36.9%) 62 (46.6%) 63 (39.1%) 0.03 Black, non–Hispanic 153 (33.1%) 66 (39.3%) 39 (29.3%) 48 (29.8%) White, non–Hispanic 61 (13.2%) 22 (13.1%) 15 (11.3%) 24 (14.9%) Other 26 (5.6%) 8 (4.8%) 6 (4.5%) 12 (7.5%) Multiple 18 (3.9%) 9 (5.4%) 5 (3.8%) 4 (2.5%) Asian 13 (2.8%) 1 (0.6%) 3 (2.3%) 9 (5.6%) American Indian/Alaskan Native 3 (0.6%) 0 (0.0%) 3 (2.3%) 0 (0.0%) Native Hawaiian/Pacific Islander 1 (0.2%) 0 (0.0%) 0 (0.0%) 1 (0.6%) Unknown 108 (─) 35 (─) 36 (─) 37 (─) Outcome Died 10 (1.8%) 1 (0.5%) 9 (5.3%) 0 (0.0%) <0.01 Days in hospital, median (IQR) 6 (4–9) 8 (6–11) 6 (4–10) 5 (4–8) <0.01 1 16 (3.2%) 3 (1.8%) 3 (2.0%) 10 (5.4%) <0.01 2–7 304 (60.2%) 86 (50.3%) 87 (58.8%) 131 (70.4%) 8–14 149 (29.5%) 66 (38.6%) 41 (27.7%) 42 (22.6%) ≥15 36 (7.1%) 16 (9.4%) 17 (11.5%) 3 (1.6%) Missing 65 (─) 32 (─) 21 (─) 12 (─) ICU admission 364 (63.9%) 171 (84.2%) 105 (62.1%) 88 (44.4%) <0.01 Days in ICU, median (IQR) 5 (3–7) 5 (4–7) 6 (3–9) 3 (2–5) <0.01 Underlying medical conditions <0.01 Obesity 146 (25.6%) 60 (29.6%) 49 (29.0%) 37 (18.7%) 0.02 Chronic lung disease 48 (8.4%) 18 (8.9%) 17 (10.1%) 13 (6.6%) 0.46 Clinical characteristic No. of organ systems involved 2–3 80 (14.0%) 6 (3.0%) 24 (14.2%) 50 (25.3%) <0.01 4–5 351 (61.6%) 98 (48.3%) 113 (66.9%) 140 (70.7%) ≥6 139 (24.4%) 99 (48.8%) 31 (18.3%) 9 (4.5%) Days with fever, median (IQR) 5 (3–6) 5 (3–6) 5 (3–6) 5 (3–6) 0.81 Kawasaki disease† 28 (4.9) 10 (4.9) 5 (3.0) 13 (6.6) 0.30 Organ system involvement Gastrointestinal 518 (90.9%) 198 (97.5%) 146 (86.4%) 174 (87.9%) <0.01 Abdominal pain 353 (61.9%) 163 (80.3%) 83 (49.1%) 107 (54.0%) <0.01 Vomiting 352 (61.8%) 145 (71.4%) 95 (56.2%) 112 (56.6%) <0.01 Diarrhea 303 (53.2%) 124 (61.1%) 79 (46.7%) 100 (50.5%) 0.01 Cardiovascular 493 (86.5%) 203 (100.0%) 143 (84.6%) 147 (74.2%) <0.01 Shock 202 (35.4%) 154 (75.9%) 48 (28.4%) 0 (0.0%) <0.01 Elevated troponin 176 (30.9%) 93 (45.8%) 43 (25.4%) 40 (20.2%) <0.01 Elevated BNP or NT–proBNP 246 (43.2%) 105 (51.7%) 77 (45.6%) 64 (32.3%) <0.01 Congestive heart failure 40 (7.0%) 21 (10.3%) 14 (8.3%) 5 (2.5%) 0.02 Cardiac dysfunction§ 207 (40.6%) 105 (55.3%) 64 (46.0%) 38 (21.0%) <0.01 Myocarditis 130 (22.8%) 62 (30.5%) 36 (21.3%) 32 (16.2%) 0.01 Coronary artery dilatation or aneurysm§ 95 (18.6%) 40 (21.1%) 22 (15.8%) 33 (18.2%) 0.49 Hypotension 282 (49.5%) 162 (79.8%) 75 (44.4%) 45 (22.7%) <0.01 Pericardial effusion§ 122 (23.9%) 55 (28.9%) 32 (23.0%) 35 (19.3%) 0.01 Mitral regurgitation§ 130 (25.5%) 68 (35.8%) 30 (21.6%) 32 (17.7%) <0.01 Dermatologic and mucocutaneous 404 (70.9%) 156 (76.8%) 87 (51.5%) 161 (81.3%) <0.01 Rash 315 (55.3%) 121 (59.6%) 70 (41.4%) 124 (62.6%) <0.01 Mucocutaneous lesions 201 (35.3%) 70 (34.5%) 42 (24.9%) 89 (44.9%) <0.01 Conjunctival injection 276 (48.4%) 118 (58.1%) 54 (32.0%) 104 (52.5%) <0.01 Hematologic 421 (73.9%) 161 (79.3%) 130 (76.9%) 130 (65.7%) <0.01 Elevated D–dimer 344 (60.4%) 136 (67.0%) 104 (61.5%) 104 (52.5%) 0.01 Thrombocytopenia¶ 176 (30.9%) 84 (41.4%) 45 (26.6%) 47 (23.7%) <0.01 Lymphopenia¶ 202 (35.4%) 82 (40.4%) 60 (35.5%) 60 (30.3%) 0.11 Respiratory** 359 (63.0%) 155 (76.4%) 129 (76.3%) 75 (37.9%) <0.01 Cough 163 (28.6%) 51 (25.1%) 67 (39.6%) 45 (22.7%) <0.01 Shortness of breath 149 (26.1%) 66 (32.5%) 59 (34.9%) 24 (12.1%) <0.01 Chest pain or tightness 66 (11.6%) 33 (16.3%) 24 (14.2%) 9 (4.5%) 0.01 Pneumonia†† 110 (19.3%) 47 (23.2%) 62 (36.7%) 1 (0.5%) <0.01 ARDS 34 (6.0%) 14 (6.9%) 17 (10.1%) 3 (1.5%) <0.01 Pleural effusion§§ 86 (15.8%) 49 (24.7%) 29 (18.4%) 8 (4.2%) <0.01 Neurologic 218 (38.2%) 107 (52.7%) 70 (41.4%) 41 (20.7%) <0.01 Headache 186 (32.6%) 90 (44.3%) 63 (37.3%) 33 (16.7%) <0.01 Renal 105 (18.4%) 77 (37.9%) 28 (16.6%) 0 (0.0%) <0.01 Acute kidney injury 105 (18.4%) 77 (37.9%) 28 (16.6%) 0 (0.0%) <0.01 Other Periorbital edema 27 (4.7%) 13 (6.4%) 5 (3.0%) 9 (4.5%) 0.32 Cervical lymphadenopathy >1.5 cm diameter 76 (13.3%) 28 (13.8%) 18 (10.7%) 30 (15.2%) 0.43 SARS COV–2 testing Any laboratory test done 565 (99.1%) 200 (98.5%) 169 (100.0%) 196 (99.0%) 0.39 Any positive laboratory test¶¶ (% among tested) 565 (100.0%) 200 (100.0%) 169 (100.0%) 196 (100.0%) NA PCR positive/Serology negative, not done, or missing*** 147 (25.8%) 1 (0.5%) 142 (84.0%) 4 (2.0%) <0.01 Serology positive/PCR negative††† 263 (46.1%) 138 (68.0%) 0 (0.0%) 125 (63.1%) <0.01 PCR positive/Serology positive 155 (27.2%) 61 (30.0%) 27 (16.0%) 67 (33.8%) <0.01 Epidemiologic link only, with no testing 5 (0.9%) 3 (1.5%) 0 (0.0%) 2 (1.0%) <0.01 Treatment §§§ IVIG¶¶¶ 424 (80.5%) 174 (87.9%) 96 (62.7%) 154 (87.5%) <0.01 Steroids 331 (62.8%) 145 (73.2%) 80 (52.3%) 106 (60.2%) <0.01 Antiplatelet medication 309 (58.6%) 113 (57.1%) 69 (45.1%) 127 (72.2%) <0.01 Anticoagulation medication 233 (44.2%) 92 (46.5%) 76 (49.7%) 65 (36.9%) 0.03 Vasoactive medications 221 (41.9%) 129 (65.2%) 64 (41.8%) 28 (15.9%) <0.01 Respiratory support, any 201 (38.1%) 104 (52.5%) 79 (51.6%) 18 (10.2%) <0.01 Intubation and mechanical ventilation 69 (13.1%) 37 (18.7%) 30 (19.6%) 2 (1.1%) <0.01 Immune modulators 119 (22.6%) 52 (26.3%) 34 (22.2%) 33 (18.8%) 0.18 Dialysis 2 (0.4%) 0 (0.0%) 2 (1.3%) 0 (0.0%) 0.08 Abbreviations: ARDS = acute respiratory distress syndrome; BNP = brain natriuretic peptide; ICU = intensive care unit; IQR = interquartile range; IVIG = intravenous immune globulin; NT-proBNP = N-terminal pro b-type natriuretic peptide; PCR = polymerase chain reaction. * Latent class analysis (LCA) is a statistical modeling technique in which observations can be classified into latent classes based on their underlying similarities. Variables that are associated with MIS-C clinical manifestation were selected as indicator variables and included in the LCA model. † Patient had fever, rash, conjunctival injection, cervical lymphadenopathy >1.5 cm diameter, and mucocutaneous lesions. § Percentages calculated among 510 persons with an echocardiogram performed. ¶ Thrombocytopenia was defined as a platelet count of less than 150 x 103 per μl or if thrombocytopenia was checked on the case-report form. Lymphopenia was defined as a lymphocyte count of <4,500 cells per μl for infants aged <8 months, or less than 1,500 cells per ml for persons aged ≥8 months. **Among 359 with respiratory organ system involvement, 324 (90%) also had cardiovascular system involvement. †† Information about pneumonia was collected on the case report form under signs and symptoms, complications, or chest imaging. §§ Percentages calculated among 545 persons with either an echocardiogram or chest imaging performed. ¶¶ Eight cases had a positive SARS CoV–2 antigen test result, among whom three were also positive by both PCR and serology, one was positive by PCR alone, and one was positive by serology alone. *** Among 147 cases with a positive PCR result without a positive serologic test result, 10 had a negative serologic test, and the remaining had unknown serologic testing. ††† Among 263 cases with positive serologic test result without a positive PCR result, 254 had a negative PCR result, and the remaining had unknown PCR testing. §§§ Percentages calculated among 527 persons who received treatment. ¶¶¶ 73 received a second dose of IVIG. Overall, the illness in 490 (86.0%) patients involved four or more organ systems. Approximately two thirds did not have preexisting underlying medical conditions before MIS-C onset. The most common signs and symptoms reported during illness course were abdominal pain (61.9%), vomiting (61.8%), skin rash (55.3%), diarrhea (53.2%), hypotension (49.5%), and conjunctival injection (48.4%). Most patients had gastrointestinal (90.9%), cardiovascular (86.5%), or dermatologic or mucocutaneous (70.9%) involvement. Substantial numbers of MIS-C patients had severe complications, including cardiac dysfunction (40.6%), shock (35.4%), myocarditis (22.8%), coronary artery dilatation or aneurysm (18.6%), and acute kidney injury (18.4%). The majority of patients (63.9%) were admitted to an ICU. The median length of ICU stay was 5 days (interquartile range = 3–7 days). Of the 565 (99.1%) patients who underwent SARS-CoV-2 testing, all had a positive test result by RT-PCR or serology; 46.1% had only serologic evidence of infection and 25.8% had only positive RT-PCR test results. Five patients (0.9%) did not have testing performed but had an epidemiologic link as indicated in the MIS-C case definition. Among all 570 patients, 527 (92.5%) were treated, including 424 (80.5%) who received intravenous immunoglobulin (IVIG), 331 (62.8%) who received steroids, 309 (58.6%) who received antiplatelet medication, 233 (44.2%) who received anticoagulation medication, and 221 (41.9%) who were treated with vasoactive medication. Ten (1.8%) patients were reported to have died (Table 1). LCA identified three classes of patients, each of which had significantly different illness manifestations related to some of the key indicator variables. Class 1 represented 203 (35.6%) patients who had the highest number of involved organ systems. Within this group, 99 (48.8%) had involvement of six or more organ systems; those most commonly affected were cardiovascular (100.0%) and gastrointestinal (97.5%). Compared with the other classes, patients in class 1 had significantly higher prevalences of abdominal pain, shock, myocarditis, lymphopenia, markedly elevated C-reactive protein (produced in the liver in response to inflammation), ferritin (an acute-phase reactant), troponin (a protein whose presence in the blood indicates possible cardiac damage), brain natriuretic peptide (BNP), or proBNP (indicative of heart failure) (p<0.01) (Tables 1 and 2). Almost all class 1 patients (98.0%) had positive SARS-CoV-2 serology test results with or without positive SARS-CoV-2 RT-PCR test results. These cases closely resembled MIS-C without overlap with acute COVID-19 or Kawasaki disease. TABLE 2 Reported serum laboratory values for multisystem inflammatory syndrome in children (MIS-C) cases (N = 570), by latent class analysis (LCA) group* — United States, March–July 2020   LCA class 1 LCA class 2 LCA class 3 p-value  Laboratory test No. Median IQR No. Median IQR No. Median IQR Fibrinogen, peak (mg/dL) 151 557 (449–713) 87 566 (430–662) 105 546 (426–681) 0.67 D-dimer, peak (mg/L) 158 3.0 (1.6–4.9) 106 2.6 (1.2–5.1) 128 1.7 (0.8–3.2) <0.01 Troponin, peak (ng/mL) 162 0.09 (0.02–0.48) 109 0.05 (0.01–0.30) 130 0.01 (0.01–0.08) <0.01 BNP, peak (pg/mL) 53 1,321 (414–2,528) 30 198 (76–927) 25 182 (30–616) <0.01 proBNP, peak (ng/L) 103 4,700 (1,261–13,646) 68 1,503 (247–6,846) 92 507 (176–2,153) <0.01 CRP, peak (mg/L) 166 21 (14–29) 122 16 (9–25) 144 14 (6–23) <0.01 Ferritin, peak (ng/mL) 159 610 (347–1,139) 108 422 (207–825) 132 242 (116–466) <0.01 IL-6, peak (pg/mL) 54 65 (24–258) 27 41 (21–131) 29 69 (7–118) 0.24 Platelets, nadir (103 cells/μl) 115 131 (102–203) 76 172 (103–245) 68 150 (113–237) 0.15 Lymphocytes, nadir (cells/μl) 72 695 (400–1,093) 49 1,200 (790–2,025) 42 1,420 (723–2,250) <0.01 Abbreviations: BNP = brain natriuretic peptide; CRP = C-reactive protein; IL-6 = Interleukin-6; IQR = interquartile range. * Latent class analysis (LCA) is a statistical modeling technique in which observations can be classified into latent classes based on their underlying similarities. Variables that are associated with MIS-C clinical manifestation were selected as indicator variables and included in the LCA model. Class 2 included 169 (29.6%) patients; among those in this group, 129 (76.3%) had respiratory system involvement. These patients were significantly more likely to have cough, shortness of breath, pneumonia, and acute respiratory distress syndrome (ARDS), indicating that their illnesses might have been primarily acute COVID-19 or a combination of acute COVID-19 and MIS-C. The rate of SARS-CoV-2 RT-PCR positivity (without seropositivity) in this group (84.0%) was significantly higher than that for class 1 (0.5%) or class 3 (2.0%) patients (p<0.01). The case fatality rate among class 2 patients was the highest (5.3%) among all three classes (p<0.01). Class 3 included 198 (34.7%) patients; the median age of children in this group (6 years) was younger than that of the class 1 patients (9 years) or class 2 patients (10 years) (p<0.01) (Table 1). Class 3 patients also had the highest prevalence of rash (62.6%), and mucocutaneous lesions (44.9%). Although not statistically significant (p = 0.49), the prevalence of coronary artery aneurysm and dilatations (18.2%) was higher than that in class 2 patients (15.8%), but lower than that in class 1 patients (21.1%). Class 3 patients more commonly met criteria for complete Kawasaki disease (6.6%) compared with class 1 (4.9%) and class 2 (3.0%) patients (p = 0.30), and had the lowest prevalence of underlying medical conditions, organ system involvement, complications (e.g., shock, myocarditis), and markers of inflammation and cardiac damage. Among class 3 patients, 63.1% had positive SARS-CoV-2 serology only and 33.8% had both serologic confirmation and positive RT-PCR results. Discussion Initial reports of MIS-C patients described varied clinical signs and symptoms at initial evaluation, but most cases included features of shock, cardiac dysfunction, gastrointestinal symptoms, significantly elevated markers of inflammation and cardiac damage, and positive test results for SARS-CoV-2 by serology ( 3 , 6 – 8 ). Because the case definition is nonspecific and confirmatory laboratory testing does not exist, it might be difficult to distinguish MIS-C from other conditions with overlapping clinical manifestations such as severe acute COVID-19 and Kawasaki disease ( 9 ). Latent class analysis is particularly well-suited to describe differing manifestations of a novel clinical syndrome. It divides patients into groups that might have been previously unrecognized, based on shared characteristics, allowing for an unbiased determination of disease manifestations. Patients identified in class 1 had little overlap with acute COVID-19 or Kawasaki disease, whereas patients in class 2 had clinical and laboratory manifestations that overlapped with acute COVID-19. This overlap might result from the development of MIS-C soon after symptomatic acute COVID-19 illness. However, the presence of isolated severe acute COVID-19 illness cannot be ruled out in some of these patients. Patients in class 3 generally seemed to have less severe MIS-C illness and clinical manifestations that overlapped with Kawasaki disease, and distinguishing class 3 patients from those with true Kawasaki disease could be difficult ( 4 ). As the COVID-19 pandemic spreads, and more children are exposed to SARS-CoV-2 with subsequent seroconversion, patients with Kawasaki disease might be misidentified as MIS-C because of an incidental finding of antibodies to SARS-CoV-2. Overall, the age distribution of the patients in this analysis is similar to that described elsewhere, but there are differences in the clinical manifestations and laboratory findings, perhaps due to differences in inclusion criteria ( 6 , 7 ). Increases in COVID-19 incidence might result in increased occurrence of MIS-C which might not be apparent immediately because of the 2–4-week delay in the development of MIS-C after acute SARS-CoV-2 infection ( 8 ). The proportion of Hispanic, black, and white MIS-C patients with obesity is slightly higher than that reported in the general pediatric population. ¶ Hispanic and black patients accounted for the largest proportion (73.6%) of reported MIS-C patients. Acute COVID-19 has been reported to disproportionately affect Hispanics and blacks ( 10 ). Long-standing inequities in the social determinants of health, such as housing, economic instability, insurance status, and work circumstances of patients and their family members have systematically placed social, racial, and ethnic minority populations at higher risk for COVID-19 and more severe illness, possibly including MIS-C.** The findings in this report are subject to at least four limitations. First, there is a possibility of case identification and reporting bias, including variability in diagnosis, testing, and management of patients by different jurisdictions. Second, inconsistency in completion of case report forms, with some patients still hospitalized at the time of reporting, might have affected data completeness (e.g., race and ethnicity were not reported for 18.9% of cases). Third, access to SARS-CoV-2 testing at the time of onset might have varied by regions, hospitals, and time. Finally, CDC’s case definition was broad, with the intention of being more inclusive, which might have led to the unintentional inclusion of patients whose illnesses overlapped with acute COVID-19 and Kawasaki disease. As the COVID-19 pandemic continues, with the number of cases increasing in many jurisdictions, health care providers should continue to monitor patients to identify children with a hyperinflammatory syndrome with shock and cardiac involvement. Suspected MIS-C patients should be reported to local and state health departments. Distinguishing patients with MIS-C from those with acute COVID-19 and other hyperinflammatory conditions is critical for early diagnosis and appropriate management. It is also critical for monitoring potential adverse events of a COVID-19 vaccine when one becomes widely available. Studies to define the clinical and laboratory characteristics of MIS-C should continue, including identification of parameters that will help distinguish the illness from other similar conditions. Summary What is already known about this topic? Multisystem inflammatory syndrome in children (MIS-C) is a rare but severe condition that has been reported approximately 2–4 weeks after the onset of COVID-19 in children and adolescents. What is added by this report? Most cases of MIS-C have features of shock, with cardiac involvement, gastrointestinal symptoms, and significantly elevated markers of inflammation, with positive laboratory test results for SARS-CoV-2. Of the 565 patients who underwent SARS-CoV-2 testing, all had a positive test result by RT-PCR or serology. What are the implications for public health practice? Distinguishing MIS-C from other severe infectious or inflammatory conditions poses a challenge to clinicians caring for children and adolescents. As the COVID-19 pandemic continues to expand in many jurisdictions, health care provider awareness of MIS-C will facilitate early recognition, early diagnosis, and prompt treatment.

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          Multisystem Inflammatory Syndrome in U.S. Children and Adolescents

          Abstract Background Understanding the epidemiology and clinical course of multisystem inflammatory syndrome in children (MIS-C) and its temporal association with coronavirus disease 2019 (Covid-19) is important, given the clinical and public health implications of the syndrome. Methods We conducted targeted surveillance for MIS-C from March 15 to May 20, 2020, in pediatric health centers across the United States. The case definition included six criteria: serious illness leading to hospitalization, an age of less than 21 years, fever that lasted for at least 24 hours, laboratory evidence of inflammation, multisystem organ involvement, and evidence of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on reverse-transcriptase polymerase chain reaction (RT-PCR), antibody testing, or exposure to persons with Covid-19 in the past month. Clinicians abstracted the data onto standardized forms. Results We report on 186 patients with MIS-C in 26 states. The median age was 8.3 years, 115 patients (62%) were male, 135 (73%) had previously been healthy, 131 (70%) were positive for SARS-CoV-2 by RT-PCR or antibody testing, and 164 (88%) were hospitalized after April 16, 2020. Organ-system involvement included the gastrointestinal system in 171 patients (92%), cardiovascular in 149 (80%), hematologic in 142 (76%), mucocutaneous in 137 (74%), and respiratory in 131 (70%). The median duration of hospitalization was 7 days (interquartile range, 4 to 10); 148 patients (80%) received intensive care, 37 (20%) received mechanical ventilation, 90 (48%) received vasoactive support, and 4 (2%) died. Coronary-artery aneurysms (z scores ≥2.5) were documented in 15 patients (8%), and Kawasaki’s disease–like features were documented in 74 (40%). Most patients (171 [92%]) had elevations in at least four biomarkers indicating inflammation. The use of immunomodulating therapies was common: intravenous immune globulin was used in 144 (77%), glucocorticoids in 91 (49%), and interleukin-6 or 1RA inhibitors in 38 (20%). Conclusions Multisystem inflammatory syndrome in children associated with SARS-CoV-2 led to serious and life-threatening illness in previously healthy children and adolescents. (Funded by the Centers for Disease Control and Prevention.)
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            Hyperinflammatory shock in children during COVID-19 pandemic

            South Thames Retrieval Service in London, UK, provides paediatric intensive care support and retrieval to 2 million children in South East England. During a period of 10 days in mid-April, 2020, we noted an unprecedented cluster of eight children with hyperinflammatory shock, showing features similar to atypical Kawasaki disease, Kawasaki disease shock syndrome, 1 or toxic shock syndrome (typical number is one or two children per week). This case cluster formed the basis of a national alert. All children were previously fit and well. Six of the children were of Afro-Caribbean descent, and five of the children were boys. All children except one were well above the 75th centile for weight. Four children had known family exposure to coronavirus disease 2019 (COVID-19). Demographics, clinical findings, imaging findings, treatment, and outcome for this cluster of eight children are shown in the table . Table Demographics, clinical findings, imaging findings, treatment, and outcome from PICU Age; weight; BMI; comorbidities Clinical presentation Organ support Pharmacological treatment Imaging results Laboratory results Microbiology results PICU length of stay; outcome Initial PICU referral Patient 1 (male, AfroCaribbean) 14 years; 95 kg; BMI 33 kg/m2; no comorbidities 4 days >40°C; 3 days non-bloody diarrhoea; abdominal pain; headache BP 80/40 mmHg; HR 120 beats/min; RR 40 breaths per min; work of breathing; SatO2 99% NCO2 MV, RRT, VA-ECMO Dopamine, noradrenaline, argipressin, adrenaline milrinone, hydroxicortisone, IVIG, ceftriaxone, clindamycin RV dysfunction/elevate RVSP; ileitis, GB oedema and dilated biliary tree, ascites, bilateral basal lung consolidations and diffuse nodules Ferritin 4220 μg/L; D-dimers 13·4 mg/L; troponin 675 ng/L; proBNP >35 000; CRP 556 mg/L; procalcitonin>100 μg/L; albumin 20 g/L; platelets 123 × 109 SARS-CoV-2 positive (post mortem) 6 days; demise (right MCA and ACA ischaemic infarction) Patient 2 (male, AfroCaribbean) 8 years; 30 kg; BMI 18 kg/m2; no comorbidities 5 days >39°C; non-bloody diarrhoea; abdominal pain; conjunctivitis; rash BP 81/37 mmHg; HR 165 beats/min; RR 40 breaths/min; SVIA MV Noradrenaline, adrenaline, IVIG, infliximab, methylprednisolone, ceftriaxone, clindamycin Mild biventricular dysfunction, severely dilated coronaries; ascites, pleural effusions Ferritin 277 μg/L; D-dimers 4·8 mg/L; troponin 25 ng/L; CRP 295 mg/L; procalcitonin 8·4 μg/L; albumin 18 g/L; platelets 61 × 109 SARS-CoV-2 negative; likely COVID-19 exposure from mother 4 days; alive Patient 3 (male, Middle-Eastern) 4 years; 18 kg; BMI 17 kg/m2; no comorbidities 4 days >39°C; diarrhoea and vomiting; abdominal pain; rash; conjunctivitis BP 90/30 mmHg; HR 170 beats/min; RR 35 breaths/min; SVIA MV Noradrenaline, adrenaline, IVIG ceftriaxone, clindamycin Ascites, pleural effusions Ferritin 574 μg/L; D-dimers 11·7 mg/L; tropinin 45 ng/L; CRP 322 mg/L; procalcitonin 10·3 μg/L; albumin 22 g/L; platelets 103 × 109 Adenovirus positive; HERV positive 4 days; alive Patient 4 (female, AfroCaribbean) 13 years; 64 kg; BMI 33 kg/m2; no comorbidities 5 days >39°C; non-bloody diarrhoea; abdominal pain; conjunctivitis BP 77/41 mmHg; HR 127 beats/min; RR 24 breaths/min; SVIA HFNC Noradrenaline, milrinone, IVIG, ceftriaxone, clindamycin Moderate-severe LV dysfunction; ascites Ferritin 631 μg/L; D-dimers 3·4 mg/L; troponin 250 ng/L; proBNP 13427 ng/L; CRP 307 mg/L; procalcitonin 12·1 μg/L; albumin 21 g/L; platelets 146 × 109 SARS-CoV-2 negative 5 days; alive Patient 5 (male, Asian) 6 years; 22 kg; BMI 14 kg/m2; autism, ADHD 4 days >39°C; odynophagia; rash; conjunctivitis BP 85/43 mmHg; HR 150 beats/min; RR 50 breaths/min; SVIA NIV Milrinone, IVIG, methylprednisolone, aspirin, ceftriaxone Dilated LV, AVVR, pericoronary hyperechogenicity Ferritin 550 μg/L; D-dimers 11·1 mg/L; troponin 47 ng/L; NT-proBNP 7004 ng/L; CRP 183 mg/L; albumin 24 g/L; platelets 165 × 109 SARS-CoV-2 positive; likely COVID-19 exposure from father 4 days; alive Patient 6 (female, AfroCaribbean) 6 years; 26 kg; BMI 15 kg/m2; no comorbidities 5 days >39°C; myalgia; 3 days diarrhoea and vomiting; conjunctivitis BP 77/46 mmHg; HR 120 beats/min; RR 40 breaths/min; SVIA NIV Dopamine, noradrenaline, milrinone, IVIG, methylprednisolone, aspirin, ceftriaxone, clindamycin Mild LV systolic impairment Ferritin 1023 μg/L; D-dimers 9·9 mg/L; troponin 45 ng/L; NT-proBNP 9376 ng/L; CRP mg/L 169; procalcitonin 11·6 μg/L; albumin 25 g/L; platelets 158 SARS-CoV-2 negative; confirmed COVID-19 exposure from grandfather 3 days; alive Patient 7 (male, AfroCaribbean 12 years; 50kg; BMI 20 kg/m2; alopecia areata, hayfever 4 days >39°C; 2 days diarrhoea and vomiting; abdominal pain; rash; odynophagia; headache BP 80/48 mmHg; HR 125 beats/min; RR 47 breaths/min; SatO2 98%; HFNC FiO2 0.35 MV Noradrenaline, adrenaline, milrinone, IVIG, methylprednisolone, heparin, ceftriaxone, clindamycin, metronidazole Severe biventricular impairment; ileitis, ascites, pleural effusions Ferritin 958 μg/L; D-dimer 24·5 mg/L; troponin 813 ng/L; NT-proBNP >35 000 ng/L; CRP 251 mg/L; procalcitonin 71·5 μg/L; albumin 24 g/L; platelets 273 × 109 SARS-CoV-2 negative 4 days; alive Patient 8 (female, AfroCaribbean) 8 years; 50 kg; BMI 25 kg/m2; no comorbidities 4 days >39°C; odynophagia; 2 days diarrhoea and vomiting; abdominal pain BP 82/41 mmHg; HR 130 beats/min; RR 35 breaths/min; SatO2 97% NCO2 MV Dopamine, noradrenaline, milrinone, IVIG, aspirin, ceftriaxone, clindamycin Moderate LV dysfunction Ferritin 460 μg/L; D-dimers 4·3 mg/L; troponin 120 ng/L; CRP 347 mg/L; procalcitonin 7·42 μg/L; albumin 22 g/L; platelets 296 × 109 SARS-CoV-2 negative; likely COVID-19 exposure from parent 7 days; alive ACA= anterior cerebral artery. ADHD=attention deficit hyperactivity disorder. AVR=atrioventricular valve regurgitation. BMI=body mass index. BP=blood pressure. COVID-19=coronavirus disease 2019. CRP=C-reactive protein. FiO2=fraction of inspired oxygen. HERV=human endogenous retrovirus. HFNC=high-flow nasal canula. HR=heart rate. IVIG=human intravenous immunoglobulin. LV=left ventricle. MCA=middle cerebral artery. MV=mechanical ventilation via endotracheal tube. NIV=non-invasive ventilation. PICU=paediatric intensive care unit. RA=room air. RR=respiratory rate. RRT=renal replacement therapy. RV=right ventricle. RVSP=right ventricular systolic pressure. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. SatO2=oxygen saturation. SVIA=self-ventilating in air. VA-ECMO=veno-arterial extracorporeal membrane oxygenation. Clinical presentations were similar, with unrelenting fever (38–40°C), variable rash, conjunctivitis, peripheral oedema, and generalised extremity pain with significant gastrointestinal symptoms. All progressed to warm, vasoplegic shock, refractory to volume resuscitation and eventually requiring noradrenaline and milrinone for haemodynamic support. Most of the children had no significant respiratory involvement, although seven of the children required mechanical ventilation for cardiovascular stabilisation. Other notable features (besides persistent fever and rash) included development of small pleural, pericardial, and ascitic effusions, suggestive of a diffuse inflammatory process. All children tested negative for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on broncho-alveolar lavage or nasopharyngeal aspirates. Despite being critically unwell, with laboratory evidence of infection or inflammation 3 including elevated concentrations of C-reactive protein, procalcitonin, ferritin, triglycerides, and D-dimers, no pathological organism was identified in seven of the children. Adenovirus and enterovirus were isolated in one child. Baseline electrocardiograms were non-specific; however, a common echocardiographic finding was echo-bright coronary vessels (appendix), which progressed to giant coronary aneurysm in one patient within a week of discharge from paediatric intensive care (appendix). One child developed arrhythmia with refractory shock, requiring extracorporeal life support, and died from a large cerebrovascular infarct. The myocardial involvement 2 in this syndrome is evidenced by very elevated cardiac enzymes during the course of illness. All children were given intravenous immunoglobulin (2 g/kg) in the first 24 h, and antibiotic cover including ceftriaxone and clindamycin. Subsequently, six children have been given 50 mg/kg aspirin. All of the children were discharged from PICU after 4–6 days. Since discharge, two of the children have tested positive for SARS-CoV-2 (including the child who died, in whom SARS-CoV-2 was detected post mortem). All children are receiving ongoing surveillance for coronary abnormalities. We suggest that this clinical picture represents a new phenomenon affecting previously asymptomatic children with SARS-CoV-2 infection manifesting as a hyperinflammatory syndrome with multiorgan involvement similar to Kawasaki disease shock syndrome. The multifaceted nature of the disease course underlines the need for multispecialty input (intensive care, cardiology, infectious diseases, immunology, and rheumatology). The intention of this Correspondence is to bring this subset of children to the attention of the wider paediatric community and to optimise early recognition and management. As this Correspondence goes to press, 1 week after the initial submission, the Evelina London Children's Hospital paediatric intensive care unit has managed more than 20 children with similar clinical presentation, the first ten of whom tested positive for antibody (including the original eight children in the cohort described above).
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              An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study

              Summary Background The Bergamo province, which is extensively affected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic, is a natural observatory of virus manifestations in the general population. In the past month we recorded an outbreak of Kawasaki disease; we aimed to evaluate incidence and features of patients with Kawasaki-like disease diagnosed during the SARS-CoV-2 epidemic. Methods All patients diagnosed with a Kawasaki-like disease at our centre in the past 5 years were divided according to symptomatic presentation before (group 1) or after (group 2) the beginning of the SARS-CoV-2 epidemic. Kawasaki- like presentations were managed as Kawasaki disease according to the American Heart Association indications. Kawasaki disease shock syndrome (KDSS) was defined by presence of circulatory dysfunction, and macrophage activation syndrome (MAS) by the Paediatric Rheumatology International Trials Organisation criteria. Current or previous infection was sought by reverse-transcriptase quantitative PCR in nasopharyngeal and oropharyngeal swabs, and by serological qualitative test detecting SARS-CoV-2 IgM and IgG, respectively. Findings Group 1 comprised 19 patients (seven boys, 12 girls; aged 3·0 years [SD 2·5]) diagnosed between Jan 1, 2015, and Feb 17, 2020. Group 2 included ten patients (seven boys, three girls; aged 7·5 years [SD 3·5]) diagnosed between Feb 18 and April 20, 2020; eight of ten were positive for IgG or IgM, or both. The two groups differed in disease incidence (group 1 vs group 2, 0·3 vs ten per month), mean age (3·0 vs 7·5 years), cardiac involvement (two of 19 vs six of ten), KDSS (zero of 19 vs five of ten), MAS (zero of 19 vs five of ten), and need for adjunctive steroid treatment (three of 19 vs eight of ten; all p<0·01). Interpretation In the past month we found a 30-fold increased incidence of Kawasaki-like disease. Children diagnosed after the SARS-CoV-2 epidemic began showed evidence of immune response to the virus, were older, had a higher rate of cardiac involvement, and features of MAS. The SARS-CoV-2 epidemic was associated with high incidence of a severe form of Kawasaki disease. A similar outbreak of Kawasaki-like disease is expected in countries involved in the SARS-CoV-2 epidemic. Funding None.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb. Mortal. Wkly. Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                14 August 2020
                14 August 2020
                : 69
                : 32
                : 1074-1080
                Affiliations
                CDC COVID-19 Response Team; Oak Ridge Institute for Science and Education; New York City Department of Health and Mental Hygiene; New York State Department of Health; New Jersey Department of Health; Epidemic Intelligence Service, Prevention and Health Promotion Administration, Maryland Department of Health; Massachusetts Department of Public Health; Pennsylvania Department of Health; Louisiana Department of Health; Illinois Department of Public Health; Minnesota Department of Health; Florida Department of Health; Career Epidemiology Field Officer Program, CDC.
                Author notes
                Corresponding author: Shana Godfred-Cato, nzt6@cdc.gov.
                Article
                mm6932e2
                10.15585/mmwr.mm6932e2
                7440126
                32790663
                4f002b1f-89d3-42ce-b390-6ee8ebeb52d6

                All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated.

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