OBJECTIVES

Characterizing inflammatory syndromes during the coronavirus disease 2019 pandemic was complicated by recognition of multisystem inflammatory syndrome in children (MIS-C), contemporaneous with episodes of Kawasaki disease. We hypothesized a substantial overlap between the 2 and assessed the performance of an MIS-C likelihood score in differentiating inpatients with nonsevere MIS-C from prepandemic incomplete Kawasaki disease (iKD) without coronary involvement.

METHODS

A retrospective review of inpatient records was conducted; the nonsevere MIS-C cohort (March 2020–February 2021) met the 2023 definition for MIS-C; the iKD cohort (January 2018–January 2019) met the American Heart Association criteria for iKD without coronary involvement. We applied the likelihood score to both cohorts. We estimated the percent of children with iKD who could have met the clinical criteria of the MIS-C, had they presented in 2023.

RESULTS

The 68 children in the nonsevere MIS-C cohort were older (8 vs 4 years, P < .001) than the 28 children in the iKD cohort. Those in the nonsevere MIS-C cohort had higher rates of thrombocytopenia (P < .001) and lymphopenia (P = .021); those in the iKD cohort had higher rates of pyuria (P < .001). Twenty-four (86%) children in the iKD cohort met the 2023 MIS-C definition. The scoring system correctly predicted 71% to 74% children with their respective clinical diagnoses.

CONCLUSIONS

Though there was considerable clinical overlap, thrombocytopenia, lymphopenia, and the absence of pyuria were the most helpful parameters to distinguish children with nonsevere MIS-C from those with iKD.

There is considerable overlap between Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C). Approximately 40% of children with MIS-C and most with KD do not require intensive care.1  On January 1, 2023 the Centers for Diseases Control and Prevention updated the definition for MIS-C.2 Compared with the 2020 definition,3  the 2023 definition excludes neurologic, respiratory, and renal manifestations as evidence of organ dysfunction. Using serology to differentiate children with MIS-C and KD is impacted by the baseline seroprevalence, which has increased over time.4 

Godfred-Cato et al developed a scoring system based on comparison between a cohort with MIS-C and a cohort with complete KD or incomplete KD (iKD) with coronary aneurysm.5  However, the differences between children with MIS-C and iKD was less studied. Differentiating between iKD and MIS-C is important to optimize management and surveillance.

The objective was to compare the clinical and laboratory features of children diagnosed with iKD before the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic with children with MIS-C (using the 2023 definition) whose management did not require ICU and had normal coronary arteries.

With institutional review board approval, we performed a retrospective cohort study at a tertiary pediatric healthcare system in the southeastern United States comprised of 3 freestanding hospitals with >600 beds. In the nonsevere MIS-C cohort, we reclassified MIS-C cases based on the 2023 definition from March 2020 to February 2021.2  In the iKD cohort, we identified children who met the American Heart Association criteria6  for iKD and received intravenous immunoglobulin (IVIG) from January 2018 to January 1, 2019. We excluded those who received ICU care or had coronary abnormalities on echocardiogram during their acute illness and follow up from both cohorts.

We excluded children with prepandemic iKD with coronary abnormalities as they had no diagnostic uncertainty. We excluded children with MIS-C with coronary abnormalities because it would be difficult to know whether they had MIS-C or KD.7  We focused on children without ICU care because 40% to 50% of patients with MIS-C do not require ICU care,811  resembling the prepandemic iKD cohort.

The MIS-C likelihood score developed by Godfred-Cato et al was applied to both cohorts.5  It includes 7 criteria, with corresponding point values. Thrombocytopenia (platelet < 150 × 103/µL) with 2 points, abdominal pain, headache, pericardial effusion, and C-reactive protein (CRP) >10 mg/dL each worth 1 point, rash with −1 point, and mucocutaneous lesions with −2 points. The summed score ranges from −3 to 6. Each score correlates to a probability ratio, pMIS-C, and the higher the score with its corresponding ratio, the more likely MIS-C is the diagnosis. A score of 0 implies diagnostic ambiguity. A score of <0 suggested KD, whereas a score of >0 suggested MIS-C.

Utilizing the 2023 report for MIS-C as a guide,1  data from children were extracted into an electronic database (Research Electronic Data Capture, Vanderbilt University). Epidemiologic data were collected. Clinical features including fever duration before treatment, presence of the five cardinal KD symptoms, and other organ system involvements associated with MIS-C were recorded.5,10,1214  Cardiac dysfunction (ejection fraction <55%) was noted. Troponin level was not compared because it was not collected for iKD. Laboratory results on admission and the highest and lowest white counts before treatment were collected.

Statistical analysis including descriptive statistics and univariable analysis was conducted. Comparisons were conducted by the Wilcoxon Rank Sum test for continuous variables, χ-square test for categorical variables, or Fisher exact test for categorical variables with small cell size (n ≤ 5). A P value < .05 was significant.

We included 68 children in the nonsevere MIS-C cohort and 28 in the iKD cohort (Supplemental Fig 1). Twenty-four (86%) of the iKD cohort met organ system and inflammatory criteria in the 2023 MIS-C definition and 44 (65%) in the nonsevere MIS-C cohort had ≥2 KD features.

The median age (years) and interquartile ranges for nonsevere MIS-C and iKD cohorts were 8 (5–10) and 4 (2–7.25; P < .001), respectively (Table 1). Median fever duration (days) before treatment of nonsevere MIS-C and iKD cohorts were 6 (5–7) and 8 (5–10; P < .001), respectively. Of the cardinal KD symptoms, oral mucosal changes and rash were significantly likely to be present in iKD cohort (64% vs 35%, P = .009, and 82% vs 56%, P = .015, respectively). Cardiac dysfunction was more likely to present in nonsevere MIS-C cohort (P = .034) (Table 1).

TABLE 1

Epidemiologic and Clinical Characteristics in Nonsevere MIS-C and iKD Cohorts

Nonsevere MIS-CiKDPa
(N = 68)(N = 28)
Epidemiologic characteristics    
 Age, median (IQR) 8.00 (5.00–10.0) 4.00 (2.00–7.25) <.001 
 Gender, male, n (%) 39 (57) 14 (50) .51 
 Ethnicity, Hispanic or Latino, n (%) 16 (24) 1 (4) .02 
Race, n (%)   .945 
 Black 33 (49) 15 (54)  
 White 26 (38) 11 (39)  
 Asian 3 (4) 0 (0)  
 Multiracial 1 (1) 0 (0)  
 Other 5 (7) 2 (7)  
Comorbidities, n (%)b 24 (35) 5 (18) .091 
Clinical characteristics    
 Days of fever before treatment, median (IQR) 6.00 (5.00–7.00) 8 (5.00–10.0) <.001 
Kawasaki Disease symptoms, n (%)    
 Bilateral conjunctival injection 50 (74) 17 (61) .214 
 Mucosal changes of tongue or lips 24 (35) 18 (64) .009 
 Polymorphous rash 38 (56) 23 (82) .015 
 Cervical lymphadenopathy >1.5 cm diameter 8 (12) 3 (11) >.999 
 Changes of extremitiesc 19 (28) 9 (32) .681 
Other organ involvements, n (%)    
 Cardiac dysfunction (ejection fraction <55%) 15 (22) 1 (3.6) .034 
 Gastrointestinal (nausea, vomiting, and/or abdominal pain) 62 (91.2) 22 (78.6) .102 
Treatments    
 1 dose of IVIG 32 (47) 28 (100) <.001 
 2 doses of IVIG 2 (3) 4 (22) .016 
 Steroids 59 (87) 4 (16) <.001 
Nonsevere MIS-CiKDPa
(N = 68)(N = 28)
Epidemiologic characteristics    
 Age, median (IQR) 8.00 (5.00–10.0) 4.00 (2.00–7.25) <.001 
 Gender, male, n (%) 39 (57) 14 (50) .51 
 Ethnicity, Hispanic or Latino, n (%) 16 (24) 1 (4) .02 
Race, n (%)   .945 
 Black 33 (49) 15 (54)  
 White 26 (38) 11 (39)  
 Asian 3 (4) 0 (0)  
 Multiracial 1 (1) 0 (0)  
 Other 5 (7) 2 (7)  
Comorbidities, n (%)b 24 (35) 5 (18) .091 
Clinical characteristics    
 Days of fever before treatment, median (IQR) 6.00 (5.00–7.00) 8 (5.00–10.0) <.001 
Kawasaki Disease symptoms, n (%)    
 Bilateral conjunctival injection 50 (74) 17 (61) .214 
 Mucosal changes of tongue or lips 24 (35) 18 (64) .009 
 Polymorphous rash 38 (56) 23 (82) .015 
 Cervical lymphadenopathy >1.5 cm diameter 8 (12) 3 (11) >.999 
 Changes of extremitiesc 19 (28) 9 (32) .681 
Other organ involvements, n (%)    
 Cardiac dysfunction (ejection fraction <55%) 15 (22) 1 (3.6) .034 
 Gastrointestinal (nausea, vomiting, and/or abdominal pain) 62 (91.2) 22 (78.6) .102 
Treatments    
 1 dose of IVIG 32 (47) 28 (100) <.001 
 2 doses of IVIG 2 (3) 4 (22) .016 
 Steroids 59 (87) 4 (16) <.001 

IQR, interquartile range.

a

P values are calculated from Kruskall-Wallis test for continuous variables; Fisher’s Exact test for “Ethnicity”, “Race,” “Cardiac involvement,” “MSK (myalgia),” and the treatment variables; χ-square test for the rest of the categorical variables.

b

In terms of comorbidities, categories were nonexclusive. In the nonsevere MIS-C cohort, 19 children had obesity, 6 with chronic lung disease, 1 premature at birth (ex-28 wk infants), 1 had sickle cell trait, 1 had eczema, 1 had anxiety, and 1 had attention-deficit/hyperactivity disorder and bicuspid aortic valve. In the iKD cohort, 2 had chronic lung disease, 2 had unspecified congenital malformations, 1 had trisomy 21, 1 had sickle cell trait, 1 had congenital adrenal hyperplasia, and 1 had adrenal insufficiency, hypothyroidism and was very premature at birth (ex-26 wk infant).

c

Changes in extremities include edema or erythema of hands and feet.

The iKD cohort was more likely to present with leukocytosis before treatment (39% vs 4%; P < .001), whereas the nonsevere MIS-C cohort was more likely to have lymphopenia (43% vs 18%; P = .021) or thrombocytopenia (40% vs 0%, P < .001). The iKD cohort was more likely to have pyuria from documented urinalyses (61% vs 20%, P < .001). The levels of CRP were comparable between cohorts (P = .162) (Table 2). All patients in the nonsevere MIS-C cohort tested positive for coronavirus disease 2019 polymerase chain reaction or serology.

TABLE 2

Laboratory Characteristics in Nonsevere MIS-C and iKD Cohorts

Laboratory Values on Admission (unless specified)Nonsevere MIS-CiKDPa
(N = 68)(N = 28)
CRP (mg/dL), median (IQR) 12.5 (9.23–16.2) 10.9 (5.93–15.0) .162 
Anemia for age, n (%) 25 (37) 14 (50) .23 
Hgb (g/dL), median (IQR) 12.1 (11.2–12.8) 11.4 (10.6–11.8) .003 
WBC (highest) ≥15 000 cell/mm3, n (%) 3 (4) 11 (39) <.001 
WBC (highest) (103/µL), median (IQR) 9.07 (6.38–11.1) 13.3 (11.7–17.5) <.001 
ANC (103 cells/mm3), median (IQR) 6.66 (3.68–8.85) 9.39 (7.85–13.4) <.001 
ALC <103 cells/mm3, n (%) 29 (43) 5 (18) .021 
ALC (103 cells/mm3), median (IQR) 1.11 (0.708–1.58) 1.99 (1.08–2.88) <.001 
Platelets <150 × 103 /µL, n (%) 27 (40) 0 (0) <.001 
Platelets (103 /µL), median (IQR) 179 (135–234) 378 (312–487) <.001 
ALT ≥45 U/L, n (%) 26 (38) 15 (54) .167 
ALT (U/L), median (IQR) 35.0 (23.0–59.0) 72 (14.8–92.5) .306 
Albumin ≤3 g/dL, n (%) 32 (47) 15 (54) .562 
Albumin (g/dL), median (IQR) 3.10 (2.70–3.50) 3.00 (2.70–3.20) .443 
Urine WBC >10/HPF, n (%) 12 of 60 (20) 14 of 23 (61) <.001 
Urine WBC (/HPF), median (IQR) 4.00 (1.00–6.50) 14.0 (4.00–21.0) .004 
Laboratory Values on Admission (unless specified)Nonsevere MIS-CiKDPa
(N = 68)(N = 28)
CRP (mg/dL), median (IQR) 12.5 (9.23–16.2) 10.9 (5.93–15.0) .162 
Anemia for age, n (%) 25 (37) 14 (50) .23 
Hgb (g/dL), median (IQR) 12.1 (11.2–12.8) 11.4 (10.6–11.8) .003 
WBC (highest) ≥15 000 cell/mm3, n (%) 3 (4) 11 (39) <.001 
WBC (highest) (103/µL), median (IQR) 9.07 (6.38–11.1) 13.3 (11.7–17.5) <.001 
ANC (103 cells/mm3), median (IQR) 6.66 (3.68–8.85) 9.39 (7.85–13.4) <.001 
ALC <103 cells/mm3, n (%) 29 (43) 5 (18) .021 
ALC (103 cells/mm3), median (IQR) 1.11 (0.708–1.58) 1.99 (1.08–2.88) <.001 
Platelets <150 × 103 /µL, n (%) 27 (40) 0 (0) <.001 
Platelets (103 /µL), median (IQR) 179 (135–234) 378 (312–487) <.001 
ALT ≥45 U/L, n (%) 26 (38) 15 (54) .167 
ALT (U/L), median (IQR) 35.0 (23.0–59.0) 72 (14.8–92.5) .306 
Albumin ≤3 g/dL, n (%) 32 (47) 15 (54) .562 
Albumin (g/dL), median (IQR) 3.10 (2.70–3.50) 3.00 (2.70–3.20) .443 
Urine WBC >10/HPF, n (%) 12 of 60 (20) 14 of 23 (61) <.001 
Urine WBC (/HPF), median (IQR) 4.00 (1.00–6.50) 14.0 (4.00–21.0) .004 

ALT, Alanine Aminotransferase; ANC, absolute neutrophil count; Hgb, hemoglobin; HPF, high power field; IQR, interquartile range; WBC, white blood cell.

a

P values are calculated from Kruskall-Wallis test for continuous variables; χ-square test for the rest of the categorical variables.

The median score was higher in nonsevere MIS-C cohort (2 vs −1.5, P < .001) (Table 3). The score correctly predicted the diagnosis as MIS-C for 50 (74%) children in nonsevere MIS-C cohort and KD for 20 (71%) children in iKD cohort. However, 9 (13%) and 4 (14%) children in nonsevere MIS-C and iKD cohorts, respectively, had a score of 0, 50% chance of having either diagnosis. Furthermore, 9 (13%) of the nonsevere MIS-C cohort and 4 (14%) of the iKD cohort had scores that predicted diagnoses that were incongruent with the surveillance diagnoses, for example, the score predicted MIS-C, whereas iKD was the documented diagnosis. For those 8 patients in the iKD cohort with 0 or positive score, 6 of them had a CRP >10mg/dL.

TABLE 3

MIS-C Diagnostic Likelihood Score

MIS-C Likelihood ScoreapMIS-C, %Overall, n (%)Nonsevere MIS-C, n (%)iKD, n (%)Pa
−3  3 (3) 0 (0) 3 (11)  
−2 13 (14) 2 (3) 11 (39)  
−1 23 13 (14) 7 (10) 6 (21)  
50 13 (14) 9 (13) 4 (14)  
77 18 (19) 15 (22) 3 (11)  
92 16 (17) 15 (22) 1 (4)  
97 12 (13) 12 (18) 0 (0)  
99 6 (6) 6 (9) 0 (0)  
100 2 (2) 2 (3) 0 (0)  
100 0 (0) 0 (0) 0 (0)  
Median (IQR) 0.00 (−1.00 to 2.00) 2.00 (0 to 3.00) −1.50 (−2.00 to 0) <.001 
MIS-C Likelihood ScoreapMIS-C, %Overall, n (%)Nonsevere MIS-C, n (%)iKD, n (%)Pa
−3  3 (3) 0 (0) 3 (11)  
−2 13 (14) 2 (3) 11 (39)  
−1 23 13 (14) 7 (10) 6 (21)  
50 13 (14) 9 (13) 4 (14)  
77 18 (19) 15 (22) 3 (11)  
92 16 (17) 15 (22) 1 (4)  
97 12 (13) 12 (18) 0 (0)  
99 6 (6) 6 (9) 0 (0)  
100 2 (2) 2 (3) 0 (0)  
100 0 (0) 0 (0) 0 (0)  
Median (IQR) 0.00 (−1.00 to 2.00) 2.00 (0 to 3.00) −1.50 (−2.00 to 0) <.001 

cKD, complete Kawasaki Disease; IQR, interquartile range; pMIS-C, probability ratio of MIS-C.

a

P values are calculated from Kruskall-Wallis test for continuous variables.

The clinical overlap of MIS-C and KD has been well described, with 30% to 40% of children with MIS-C diagnosed based on the 2020 definition3  meeting KD criteria and the majority being iKD.12,13,15  We found a remarkable overlap in clinical and laboratory parameters between noncritically ill patients treated for iKD before the pandemic and MIS-C based on the 2023 definition.2  Eighty-six percent of the iKD cohort could have potentially met the 2023 definition of MIS-C had they had a SARS-CoV-2 infection or exposure and 65% of the nonsevere MIS-C cohort had ≥2 KD features. Although it is possible some with nonsevere MIS-C would have been treated as having iKD prepandemic because of phenotypical similarities, key differences were children with nonsevere MIS-C were older, more likely to have cardiac dysfunction, thrombocytopenia, and lymphopenia, and less likely to have pyuria.

The clinical overlap between iKD and nonsevere MIS-C is important to recognize, as the seroprevalence of SARS CoV-2 antibody is increasing over time, especially after the ο wave and subsequent variants.4  As nonsevere MIS-C can be treated with corticosteroid monotherapy with good short-term outcomes16,17  and as IVIG is a critical first-line therapy for children with KD, differentiating these 2 conditions has clinical relevance.

Using the MIS-C likelihood scale developed earlier,5  >25% of the patients had a score that was either inconclusive or suggested alternative classification. In these situations, lymphopenia and thrombocytopenia may be more suggestive of MIS-C. Clinicians will also need to consider the epidemiologic trend of SARS-CoV-2 infection in their community and the prevalence of MIS-C. More recent studies found the prevalence of MIS-C is decreasing with an increasing proportion of cases not requiring ICU stays.11,18 

Strengths of the study include the standardized data collection, specific exclusion criteria, application of the new MIS-C definition, and first documented application of the MIS-C likelihood score to those with iKD without coronary involvement. The standardized data collection allows for easy comparison between cohorts, whereas the exclusion criteria helped identify nonsevere presentations, resembling current clinical scenarios.1,9,18  There are several limitations, including the retrospective design; clinical symptoms may not have been consistently collected. Subjects included in the iKD cohort had 2 to 3 KD symptoms on exam unless they were infants. We did not include patients treated but with <2 symptoms, even if they had other KD symptoms in history. We might be undercounting the incidence of iKD. However, we reduced the bias that may present with the decision to treat for iKD between clinicians.

It is unclear if nonsevere MIS-C was more prevalent in older children because of characteristics of the condition or if older children were more likely to be exposed and, hence, more likely to develop MIS-C.

There was considerable overlap between children with nonsevere MIS-C and iKD prepandemic with 86% of iKD cohort meeting the organ and inflammatory criteria of the 2023 MIS-C definition. The MIS-C likelihood score predicted concordance in diagnosis for <75% children from either cohort. Our study demonstrated that findings from a basic blood count and urinalysis were more useful differentiating features than the presence of organ system involvements. Therefore, clinicians may focus on the differences on complete blood count and urinalysis if there are diagnostic challenges between the two presentations.

Dr Fan conceptualized and designed the study, performed the majority of the data extraction, led data analysis and interpretations, and drafted the initial manuscript; Dr Bai and Ms Xu conducted statistical analysis and interpretation of data; Ms Jones and Drs Bass and Sherry participated in data collection; Dr Oster contributed to the design of the study and conducted analysis and interpretation of data; Dr Jaggi supervised the conceptualization and design of the study and supervised data collection, analysis, and interpretation; and all authors critically reviewed and revised the manuscript and approved the final manuscript as submitted.

FUNDING: Ms Fan received the Pediatric Infectious Diseases Society Summer Research Scholars Award for the work reported in this manuscript. No other external funding.

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

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Supplementary data