Literature DB >> 32790663

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

Shana Godfred-Cato, Bobbi Bryant, Jessica Leung, Matthew E Oster, Laura Conklin, Joseph Abrams, Katherine Roguski, Bailey Wallace, Emily Prezzato, Emilia H Koumans, Ellen H Lee, Anita Geevarughese, Maura K Lash, Kathleen H Reilly, Wendy P Pulver, Deepam Thomas, Kenneth A Feder, Katherine K Hsu, Nottasorn Plipat, Gillian Richardson, Heather Reid, Sarah Lim, Ann Schmitz, Timmy Pierce, Susan Hrapcak, Deblina Datta, Sapna Bamrah Morris, Kevin Clarke, Ermias Belay.   

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.

Entities:  

Mesh:

Year:  2020        PMID: 32790663      PMCID: PMC7440126          DOI: 10.15585/mmwr.mm6932e2

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


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* (). 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 (). 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 (). 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 (–), 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 (). 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.

TABLE 1

Characteristics of patients (N = 570) reported with multisystem inflammatory syndrome in children (MIS–C) — United States, March–July 2020

CharacteristicNo. (%)
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
Dialysis2 (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.

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. 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 testNo.MedianIQRNo.MedianIQRNo.MedianIQR
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)72695(400–1,093)491,200(790–2,025)421,420(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.

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 (,–). 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 (). 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 (). 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 (,). 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 (). 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 (). 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.

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.
  9 in total

1.  Acute Heart Failure in Multisystem Inflammatory Syndrome in Children in the Context of Global SARS-CoV-2 Pandemic.

Authors:  Zahra Belhadjer; Mathilde Méot; Fanny Bajolle; Diala Khraiche; Antoine Legendre; Samya Abakka; Johanne Auriau; Marion Grimaud; Mehdi Oualha; Maurice Beghetti; Julie Wacker; Caroline Ovaert; Sebastien Hascoet; Maëlle Selegny; Sophie Malekzadeh-Milani; Alice Maltret; Gilles Bosser; Nathan Giroux; Laurent Bonnemains; Jeanne Bordet; Sylvie Di Filippo; Pierre Mauran; Sylvie Falcon-Eicher; Jean-Benoît Thambo; Bruno Lefort; Pamela Moceri; Lucile Houyel; Sylvain Renolleau; Damien Bonnet
Journal:  Circulation       Date:  2020-05-17       Impact factor: 29.690

2.  Multisystem Inflammatory Syndrome in U.S. Children and Adolescents.

Authors:  Leora R Feldstein; Erica B Rose; Steven M Horwitz; Jennifer P Collins; Margaret M Newhams; Mary Beth F Son; Jane W Newburger; Lawrence C Kleinman; Sabrina M Heidemann; Amarilis A Martin; Aalok R Singh; Simon Li; Keiko M Tarquinio; Preeti Jaggi; Matthew E Oster; Sheemon P Zackai; Jennifer Gillen; Adam J Ratner; Rowan F Walsh; Julie C Fitzgerald; Michael A Keenaghan; Hussam Alharash; Sule Doymaz; Katharine N Clouser; John S Giuliano; Anjali Gupta; Robert M Parker; Aline B Maddux; Vinod Havalad; Stacy Ramsingh; Hulya Bukulmez; Tamara T Bradford; Lincoln S Smith; Mark W Tenforde; Christopher L Carroll; Becky J Riggs; Shira J Gertz; Ariel Daube; Amanda Lansell; Alvaro Coronado Munoz; Charlotte V Hobbs; Kimberly L Marohn; Natasha B Halasa; Manish M Patel; Adrienne G Randolph
Journal:  N Engl J Med       Date:  2020-06-29       Impact factor: 91.245

3.  Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020.

Authors:  Erin K Stokes; Laura D Zambrano; Kayla N Anderson; Ellyn P Marder; Kala M Raz; Suad El Burai Felix; Yunfeng Tie; Kathleen E Fullerton
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-06-19       Impact factor: 17.586

4.  Multisystem Inflammatory Syndrome in Children in New York State.

Authors:  Elizabeth M Dufort; Emilia H Koumans; Eric J Chow; Elizabeth M Rosenthal; Alison Muse; Jemma Rowlands; Meredith A Barranco; Angela M Maxted; Eli S Rosenberg; Delia Easton; Tomoko Udo; Jessica Kumar; Wendy Pulver; Lou Smith; Brad Hutton; Debra Blog; Howard Zucker
Journal:  N Engl J Med       Date:  2020-06-29       Impact factor: 91.245

5.  Coronavirus Disease 2019 in Children - United States, February 12-April 2, 2020.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-04-10       Impact factor: 17.586

6.  Hyperinflammatory shock in children during COVID-19 pandemic.

Authors:  Shelley Riphagen; Xabier Gomez; Carmen Gonzalez-Martinez; Nick Wilkinson; Paraskevi Theocharis
Journal:  Lancet       Date:  2020-05-07       Impact factor: 79.321

7.  Kawasaki-like multisystem inflammatory syndrome in children during the covid-19 pandemic in Paris, France: prospective observational study.

Authors:  Julie Toubiana; Clément Poirault; Alice Corsia; Fanny Bajolle; Jacques Fourgeaud; François Angoulvant; Agathe Debray; Romain Basmaci; Elodie Salvador; Sandra Biscardi; Pierre Frange; Martin Chalumeau; Jean-Laurent Casanova; Jérémie F Cohen; Slimane Allali
Journal:  BMJ       Date:  2020-06-03

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.  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

  9 in total
  221 in total

1.  The Trilogy of SARS-CoV-2 in Pediatrics (Part 2): Multisystem Inflammatory Syndrome in Children.

Authors:  Van L Tran; Sarah Parsons; Andrew Nuibe
Journal:  J Pediatr Pharmacol Ther       Date:  2021-05-19

Review 2.  Inflammatory syndromes associated with SARS-CoV-2 infection: dysregulation of the immune response across the age spectrum.

Authors:  Jill E Weatherhead; Eva Clark; Tiphanie P Vogel; Robert L Atmar; Prathit A Kulkarni
Journal:  J Clin Invest       Date:  2020-12-01       Impact factor: 14.808

3.  Similarities and differences between the immunopathogenesis of COVID-19-related pediatric multisystem inflammatory syndrome and Kawasaki disease.

Authors:  Ana Esteve-Sole; Jordi Anton; Rosa Maria Pino-Ramirez; Judith Sanchez-Manubens; Victoria Fumadó; Claudia Fortuny; María Rios-Barnes; Joan Sanchez-de-Toledo; Mónica Girona-Alarcón; Juan Manuel Mosquera; Silvia Ricart; Cristian Launes; Mariona Fernández de Sevilla; Cristina Jou; Carmen Muñoz-Almagro; Eva González-Roca; Andrea Vergara; Jorge Carrillo; Manel Juan; Daniel Cuadras; Antoni Noguera-Julian; Iolanda Jordan; Laia Alsina
Journal:  J Clin Invest       Date:  2021-03-15       Impact factor: 14.808

Review 4.  Immune pathogenesis of COVID-19-related multisystem inflammatory syndrome in children.

Authors:  Anne H Rowley; Stanford T Shulman; Moshe Arditi
Journal:  J Clin Invest       Date:  2020-11-02       Impact factor: 14.808

5.  Multisystemic inflammatory syndrome in children associated with COVID-19: a single center experience in Turkey.

Authors:  Eviç Zeynep Başar; Hafize Emine Sönmez; Selim Öncel; Ayşe Filiz Yetimakman; Kadir Babaoğlu
Journal:  Turk Arch Pediatr       Date:  2021-05-01

6.  Multisystem Inflammatory Syndrome in Infants <12 months of Age, United States, May 2020-January 2021.

Authors:  Shana Godfred-Cato; Clarisse A Tsang; Jennifer Giovanni; Joseph Abrams; Matthew E Oster; Ellen H Lee; Maura K Lash; Chloe Le Marchand; Caterina Y Liu; Caitlin N Newhouse; Gillian Richardson; Meghan T Murray; Sarah Lim; Thomas E Haupt; Amanda Hartley; Lynn E Sosa; Kompan Ngamsnga; Ali Garcia; Deblina Datta; Ermias D Belay
Journal:  Pediatr Infect Dis J       Date:  2021-07-01       Impact factor: 2.129

Review 7.  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

Review 8.  COVID-19: breaking down a global health crisis.

Authors:  Saad I Mallah; Omar K Ghorab; Sabrina Al-Salmi; Omar S Abdellatif; Tharmegan Tharmaratnam; Mina Amin Iskandar; Jessica Atef Nassef Sefen; Pardeep Sidhu; Bassam Atallah; Rania El-Lababidi; Manaf Al-Qahtani
Journal:  Ann Clin Microbiol Antimicrob       Date:  2021-05-18       Impact factor: 3.944

9.  Deep immune profiling of MIS-C demonstrates marked but transient immune activation compared to adult and pediatric COVID-19.

Authors:  Laura A Vella; Josephine R Giles; Amy E Baxter; Derek A Oldridge; Caroline Diorio; Leticia Kuri-Cervantes; Cécile Alanio; M Betina Pampena; Jennifer E Wu; Zeyu Chen; Yinghui Jane Huang; Elizabeth M Anderson; Sigrid Gouma; Kevin O McNerney; Julie Chase; Chakkapong Burudpakdee; Jessica H Lee; Sokratis A Apostolidis; Alexander C Huang; Divij Mathew; Oliva Kuthuru; Eileen C Goodwin; Madison E Weirick; Marcus J Bolton; Claudia P Arevalo; Andre Ramos; C J Jasen; Peyton E Conrey; Samir Sayed; Heather M Giannini; Kurt D'Andrea; Nuala J Meyer; Edward M Behrens; Hamid Bassiri; Scott E Hensley; Sarah E Henrickson; David T Teachey; Michael R Betts; E John Wherry
Journal:  Sci Immunol       Date:  2021-03-02

10.  Factors Associated With School Attendance Plans and Support for COVID-19 Risk Mitigation Measures Among Parents and Guardians.

Authors:  Kao-Ping Chua; Melissa DeJonckheere; Sarah L Reeves; Alison C Tribble; Lisa A Prosser
Journal:  Acad Pediatr       Date:  2020-11-26       Impact factor: 3.107

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