Abstract
We describe characteristics, clinical features and outcomes of multisystem inflammatory syndrome in children among American Indian and Alaska Native (AI/AN) persons compared with non-Hispanic white persons. AI/AN patients with multisystem inflammatory syndrome in children were younger, more often obese, and from areas of higher social vulnerability. A greater proportion of AI/AN patients had severe respiratory involvement and shock.
Keywords: multisystem inflammatory syndrome in children, American Indian/Alaska Native Health & Epidemiology, COVID-19
Multisystem inflammatory syndrome in children (MIS-C), a severe complication of severe acute respiratory virus syndrome coronavirus-2 (SARS-CoV-2) infection, is characterized by systemic inflammation and multisystem organ involvement in persons <21 years of age.1,2 Among US cases during February 2020–July 2022, approximately 60% occurred in Hispanic/Latino or Non-Hispanic Black children.1,3 Lower socioeconomic status and higher social vulnerability index (SVI) have been reported as associated with increased risk for MIS-C.4 American Indian/Alaska Native (AI/AN) adults have been disproportionately affected by the coronavirus (COVID-19) pandemic, with incidence 3.5 times that among White persons and higher age-adjusted mortality.5 Among AI/AN persons <25 years of age, persistently higher disparities in COVID-19 incidence have been reported.6 We describe characteristics, clinical features, and outcomes of MIS-C among AI/AN patients compared with non-Hispanic White (NHW) patients.
METHODS
Health departments reported suspected cases to the Centers for Disease Control and Prevention (CDC)’s using a standardized case report form. Patients’ illnesses were evaluated to confirm they met the CDC MIS-C case definition (Supplement 1, Supplemental Digital Content 1, http://links.lww.com/INF/E914): (1) clinically severe illness requiring hospitalization in persons <21 years old, (2) fever ≥38 °C for ≥24 hours or report of subjective fever for ≥24 hours, (3) laboratory evidence of inflammation, (4) multisystem (≥2) organ involvement, (5) laboratory evidence of acute or previous SARS-CoV-2 infection by reverse transcription polymerase chain reaction (RT-PCR), serology or antigen test, or known COVID-19 exposure within 4 weeks of symptom onset and (6) no alternative plausible diagnosis. Patients reported between February 19, 2020, and June 7, 2022, who met the case definition were included in this analysis. Author team clinicians reviewed comorbidity and organ system involvement free text data to augment clinical results where possible. We used previously established definitions to characterize severe organ system involvement (Supplement 2, Supplemental Digital Content 1, http://links.lww.com/INF/E914).1 Race and ethnicity categorization used a modified method whereby AI/AN patients were classified as such, regardless of reported ethnicity, due to small sample size.7 White patients without reported ethnicity were included in the NHW comparative group. SVI scores were determined using the CDC SVI 2018 database which utilizes US census data to identify communities that might need additional support during emergencies, including the COVID-19 pandemic.8 We calculated SVI scores using reported zip code. Waves of MIS-C were defined by nadirs between peaks in reported cases.1
Using SAS version 9.4 (SAS Institute, Cary, NC), we compared characteristics among AI/AN versus NHW patients using Kruskal–Wallis test for continuous variables and chi-square tests for categorical variables. Two-sided P values of α <0.05 were considered significant.
This activity was reviewed by CDC, determined to meet the requirements of public health surveillance, and conducted consistent with applicable federal law and CDC policy (45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. §241(d); 5 U.S.C. §552a; 44 U.S.C. §3501 et seq).
RESULTS
Of 8561 MIS-C cases reported from 56 jurisdictions, 8070 had complete race and ethnicity documentation (Table 1). Of these, 69 (0.9%) patients were identified as AI (n = 28), AN (n = 8) or both (n = 33); 2798 were identified as NHW. Median age was 7 years [interquartile range (IQR), 4–12] for AI/AN patients and 9 years (IQR, 5–13) for NHW patients (P = 0.045). A higher percentage of AI/AN patients were reported from the West (P < 0.001) and during the first MIS-C pandemic wave (P < 0.001) than NHW patients. A higher percentage of AI/AN patients were obese (P = 0.002) and resided in high SVI areas (P < 0.001).
TABLE 1.
Characteristics of American Indian and Alaska Native Patients With MIS-C Compared With Non-Hispanic Whites—United States, February 2020 to June 2022
| Characteristic | American Indian and Alaska Native* (n = 69) | Non-Hispanic Whites (n = 2,798) | P † |
|---|---|---|---|
| No. (%) | No. (%) | ||
| Age group, y‡ | |||
| 0–4 | 23 (33.3) | 655 (23.4) | 0.055 |
| 5–11 | 30 (43.5) | 1320 (47.2) | 0.543 |
| 12–20 | 16 (23.2) | 823 (29.4) | 0.262 |
| Age, y, median (IQR) | 7 (4–12) | 9 (5–13) | 0.045 |
| Sex§ | |||
| Male | 44 (63.8) | 1756 (62.8) | 0.867 |
| Female | 25 (36.2) | 1041 (37.2) | 0.867 |
| U.S. Census region¶ | |||
| Northeast | 6 (8.7) | 429 (15.3) | 0.129 |
| Midwest | 15 (21.7) | 841 (30.1) | 0.136 |
| South | 18 (26.1) | 1003 (35.8) | 0.094 |
| West | 30 (43.5) | 525 (18.8) | <0.001 |
| Pandemic MIS-C wave‖ | |||
| Wave 1 (February 19–June 28, 2020) | 9 (13.0) | 84 (3.0) | <0.001 |
| Wave 2 (June 29–October 17, 2020) | 7 (10.1) | 153 (5.5) | 0.095 |
| Wave 3 (October 18, 2020–July 8, 2021) | 27 (39.1) | 1302 (46.5) | 0.223 |
| Wave 4 (July 9, 2021–June 7, 2022) | 26 (37.7) | 1258 (45.0) | 0.230 |
| Comorbidities | |||
| Obesity** | 23 (37.7) | 553 (21.4) | 0.002 |
| Chronic lung disease including asthma | 5 (7.2) | 159 (5.7) | 0.594 |
| SVI†† | |||
| Low (score: 0–0.32) | 11 (18.0) | 896 (35.5) | 0.005 |
| Moderate (score: 0.33–0.66) | 25 (41.0) | 1344 (53.3) | 0.053 |
| High (score: 0.67–1.00) | 25 (41.0) | 283 (11.2) | <0.001 |
| SVI, median (IQR) | 0.58 (0.45–0.87) | 0.42 (0.26–0.54) | <0.001 |
| Cardiovascular involvement | |||
| Severe cardiovascular involvement | 58 (84.1) | 2052 (73.3) | 0.046 |
| Arrhythmia | 5 (7.2) | 152 (5.4) | 0.426 |
| Congestive heart failure | 2 (2.9) | 92 (3.3) | 1.000 |
| Elevated troponin | 35 (50.7) | 1366 (48.8) | 0.808 |
| Shock/receipt of vasopressors | 34 (49.3) | 1032 (36.9) | 0.035 |
| BNP or NT-pro BNP ≥ 1000 pg/mL | 34 (49.3) | 919 (32.8) | 0.004 |
| Cardiac dysfunction‡‡ | 19 (30.6) | 653 (25.4) | 0.350 |
| Pericardial effusion/pericarditis | 10 (14.5) | 501 (17.9) | 0.464 |
| Coronary artery aneurysm/dilatation§§ | 7 (11.3) | 310 (12.1) | 0.854 |
| Myocarditis¶¶ | 9 (13.0) | 296 (10.6) | 0.512 |
| ECMO | 1 (1.4) | 34 (1.2) | 0.861 |
| Hematologic involvement | |||
| Severe hematologic involvement | 46 (66.7) | 1651 (57.6) | 0.201 |
| Thrombocytopenia‖‖ | 33 (47.8) | 1116 (39.9) | 0.184 |
| Lymphopenia*** | 28 (40.6) | 1028 (36.7) | 0.514 |
| Respiratory involvement | |||
| Severe respiratory involvement | 34 (49.3) | 978 (35.0) | 0.014 |
| Pneumonia††† | 21 (30.4) | 548 (19.1) | 0.026 |
| Pleural effusion | 13 (18.8) | 479 (17.1) | 0.708 |
| Oxygen, high-flow nasal cannula | 17 (24.6) | 351 (12.5) | 0.003 |
| Invasive mechanical ventilation | 8 (11.6) | 165 (5.9) | 0.050 |
| Acute respiratory distress syndrome | 5 (7.2) | 122 (4.4) | 0.231 |
| Gastrointestinal involvement | |||
| Severe gastrointestinal involvement‡‡‡ | 12 (17.4) | 627 (22.4) | 0.323 |
| Mesenteric adenitis | 5/25 (20.0) | 363/1078 (33.7) | 0.199 |
| Free fluid | 4/25 (16.0) | 248/1078 (23.0) | 0.629 |
| Renal involvement | |||
| Severe renal involvement | 14 (20.3) | 433 (15.5) | 0.276 |
| Acute kidney injury | 13 (18.8) | 417 (14.9) | 0.366 |
| Renal failure | 2 (2.9) | 48 (1.7) | 0.340 |
| Hemodialysis | 0 | 23 (0.8) | n/a§§§ |
| Neurologic involvement | |||
| Severe neurologic involvement | 7 (10.1) | 219 (7.8) | 0.483 |
| Meningitis | 4 (5.8) | 150 (5.4) | 0.786 |
| Encephalopathy | 2 (2.9) | 77 (2.9) | 1.000 |
| CVA | 1 (1.4) | 14 (0.5) | 0.307 |
| Any mucocutaneous involvement | 47 (68.1) | 2055 (73.4) | 0.322 |
| Treatment | |||
| IVIG | 57 (82.6) | 2339 (81.6) | 0.827 |
| Steroids | 57 (83.8) | 2247 (83.8) | 0.993 |
| Outcomes | |||
| Total days in hospital, median (IQR)¶¶¶ | 5 (4–8) | 5 (3–7) | 0.049 |
| ICU-level care‖‖‖ | 40 (58.0) | 1499 (53.6) | 0.469 |
| Days in ICU, median (IQR)**** | 4 (2–6) | 3 (2–5) | 0.124 |
| Death | 2 (2.9) | 22 (0.8) | 0.112 |
Race and ethnicity reported in 8070 of 8561. Racial and ethnic classifications followed CDC’s Office of Minority Health and Health Equity (OMHHE) guidance. Non-Hispanic ethnicity was assumed if Hispanic ethnicity was not noted. Hispanic ethnicity was top-coded over White, Black, and Asian race. Because of small sample sizes, American Indian/Alaskan and Native Hawaiian/Pacific Islander patients were reported as such, regardless of ethnicity
*Alone or in combination with other races and ethnicities.
†P values from chi-square test and Fisher’s exact test (n < 5) for categorical variables and Kruskal–Wallis trend test for continuous variables.
‡Percentages calculated among 2867 persons with known age.
§Percentages calculated among 2866 persons with known sex.
¶Percentages calculated among 2867 persons with known census region.
‖Percentages calculated among 2867 persons with known date of diagnosis.
**By either clinician diagnosis of obesity or body mass index-based obesity; calculated only in children >2 years. Percentages calculated among 2648 persons.
††Percentages calculated among 2523 persons with known SVI. CDC/ATSDR SVI documentation is available at https://www.atsdr.cdc.gov/placeandhealth/svi/index.html. Median SVI for case-patients and controls are based on US 2018 SVI data.
‡‡Specified left ventricular dysfunction and right ventricular dysfunction; percentages calculated among 2632 persons with an echocardiogram performed.
§§Percentages calculated among 2632 persons with an echocardiogram performed.
¶¶Indicated on a case report form.
‖‖Information about thrombocytopenia was collected on the case report form under signs and symptoms or calculated from laboratory results as platelets <150,000 cells/µL.
***Lymphopenia was defined as lymphocyte count <4500 cells/µL if age <8 months or <1500 cells/µL if age ≥8 months.
†††Information about pneumonia was collected on the case report form under signs and symptoms, complications or chest imaging.
‡‡‡Percentages calculated among 1103 persons with an abdominal imaging performed.
§§§P value n/a because no comparisons were performed for these columns.
¶¶¶Percentages calculated among 2728 patients with known hospitalization duration.
‖‖‖ICU-level care was defined as having a documented date of ICU admission or known length of ICU stay or having received, ICU-level care including mechanical ventilation, vasopressor support or ECMO.
****Percentages calculated among 1133 patients with known ICU duration.
ECMO indicates extracorporeal membranous oxygenation.
Compared with NHW patients, AI/AN patients more frequently experienced shock (P = 0.035) and severe respiratory involvement (P = 0.006), including pneumonia (P = 0.009) and receipt of high-flow supplemental oxygen (P = 0.003). Length of stay was borderline significantly shorter in NHW [5 days (IQR 4–8)] than AI/AN patients [5 days (IQR 3–7); P = 0.049]; no statistically significant differences were identified in intensive care unit (ICU)-level care (P = 0.469) or death (P = 0.112).
DISCUSSION
AI/AN patients with MIS-C were younger, more often obese, and from areas of higher social vulnerability compared with NHW patients. Previous studies have demonstrated that among hotspot counties, areas with the highest SVI had significantly higher incidence of COVID-19.9 Tribal geographic regions have higher SVI specifically in the categories of poverty, unemployment, lower per capita income, access to transportation, and crowded housing.10,11 AI/AN patients from higher SVI areas experienced increased COVID-19 transmission and thus higher risk for developing MIS-C. Most clinical features were similar between the groups, but a greater proportion of AI/AN patients had severe respiratory involvement (49.3% among AI/AN compared to 35% among NHW patients) and cardiovascular shock (49.3% among AI/AN compared to 36.9% among NHW patients) requiring interventions such as high-flow nasal cannula and vasopressors. Despite these differences, treatment type and outcomes did not significantly differ between groups. The shorter IQR for hospital length of stay in NHW compared with AI/AN just below the level of statistical significance is not likely of clinical relevance. Limited sample size precluded robust explorations of hospital and ICU length of stay and death.
The higher proportion of AI/AN patients exhibiting respiratory complications relative to NHW patients may be partly attributable to potential misclassification of severe acute COVID-19 patients as MIS-C patients, especially since AI/AN patients were disproportionately reported earlier in the pandemic when diagnostic algorithms may have been less clear. Although these cases were identified from a large national surveillance dataset, a limitation was the relatively small size of this AI/AN MIS-C cohort, which inhibited detailed subgroup analyses. Race/ethnicity was obtained from the medical record and may be subject to misclassification.12 To improve ascertainment of AI/AN patients, a comparison with Indian Health Service (IHS) MIS-C data was considered. Preliminary review of MIS-C diagnoses in IHS data systems showed that few of the cases contained in this surveillance system were identified from facilities reporting to IHS. Further investigation is needed in this area to ensure completeness and accuracy of reported AI/AN MIS-C cases.
COVID-19 vaccination has been reported to be protective in preventing MIS-C.13 Over 75% of AI/AN patients in this analysis were <12 years old, reflecting a younger age distribution of MIS-C among the US populations of AI/AN versus NHW. Efforts to expand pediatric access to COVID-19 vaccination have strategically utilized SVI to maximize coverage and demonstrated that while first dose coverage rates in high SVI areas were initially low, they improved.14 Our findings support the rationale for improving COVID-19 immunization of AI/AN children, particularly among younger age groups who reside in high SVI areas.
ACKNOWLEDGMENTS
The authors thank state, local and territorial health department partners, without whom this work would not be possible. Thank you also to Dr. Thomas Becker for review of the manuscript.
Supplementary Material
Footnotes
All participating jurisdictions received financial support from the CDC Prevention through the Epidemiology and Laboratory Capacity for Prevention and Control of Emerging Infectious Diseases cooperative agreement. CDC COVID-19 Response Team participated in study design and conduct including data collection, management, interpretation manuscript review and preparation.
The authors have no conflicts of interest to disclose.
Drs Bornstein, Weiser, and Apostolou conceptualized and designed the study, drafted the initial manuscript, and reviewed and revised the manuscript. Drs Campbell, Zambrano, Yousaf and Ms Miller conceptualized and designed the study, coordinated and supervised data collection, and critically reviewed the manuscript for important intellectual content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (www.pidj.com).
Contributor Information
Allison D. Miller, Email: odh8@cdc.gov.
Laura D. Zambrano, Email: xbs6@cdc.gov.
Anna R. Yousaf, Email: pgy6@cdc.gov.
Andria Apostolou, Email: Andria.Apostolou@ihs.gov.
Thomas Weiser, Email: thomas.weiser@ihs.gov.
REFERENCES
- 1.Miller AD, Zambrano LD, Yousaf AR, et al. Multisystem inflammatory syndrome in children-United States, February 2020-July 2021 [published correction appears in Clin Infect Dis. 2022 Apr 27]. Clin Infect Dis. 2022;75:e1165–e1175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Feldstein LR, Rose EB, Horwitz SM, et al. Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med. 2020;383:334–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.COVID Data Tracker. Centers for Disease Control and Prevention. Available at: https://covid.cdc.gov/covid-data-tracker. 2022. Accessed September 5, 2022.
- 4.Javalkar K, Robson VK, Gaffney L, et al. Socioeconomic and racial and/or ethnic disparities in multisystem inflammatory syndrome. Pediatrics. 2021;147:e2020039933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hatcher SM, Agnew-Brune C, Anderson M, et al. COVID-19 Among American Indian and Alaska Native Persons—23 States, January 31-July 3, 2020. MMWR Morb Mortal Wkly Rep. 2020;69:1166–1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Van Dyke ME, Mendoza MCB, Li W, et al. Racial and ethnic disparities in COVID-19 incidence by age, sex, and period among persons aged <25 Years—16 U.S. Jurisdictions, January 1-December 31, 2020. MMWR Morb Mortal Wkly Rep. 2021;70:382–388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Yoon P, Hall J, Fuld J, et al. Alternative methods for grouping race and ethnicity to monitor COVID-19 outcomes and vaccination coverage. MMWR Morb Mortal Wkly Rep. 2021;70:1075–1080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Social Vulnerability Index 2018 Database US. Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry/Geospatial Research, Analysis, and Services Program. Available at: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html. 2021. Accessed May 31, 2022.
- 9.Dasgupta S, Bowen VB, Leidner A, et al. Association between social vulnerability and a county’s risk for becoming a COVID-19 Hotspot—United States, June 1–July 25, 2020. MMWR Morb Mortal Wkly Rep. 2020;69:1535–1541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hathaway ED. American Indian and Alaska native people: social vulnerability and COVID-19. J Rural Health. 2021;37:256–259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yellow Horse AJ, Deschine Parkhurst NA, Huyser KR. COVID-19 in New Mexico tribal lands: understanding the role of social vulnerabilities and historical racisms. Front Sociol. 2020;5:610355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Klinger EV, Carlini SV, Gonzalez I, et al. Accuracy of race, ethnicity, and language preference in an electronic health record. J Gen Intern Med. 2015;30:719–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zambrano LD, Newhams MM, Olson SM, et al. Effectiveness of BNT162b2 (Pfizer-BioNTech) mRNA vaccination against multisystem inflammatory syndrome in children among persons aged 12-18 Years—United States, July-December 2021. MMWR Morb Mortal Wkly Rep. 2022;71:52–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kim C, Yee R, Bhatkoti R, et al. COVID-19 vaccine provider access and vaccination coverage among children aged 5-11 Years—United States, November 2021-January 2022. MMWR Morb Mortal Wkly Rep. 2022;71:378–383. [DOI] [PMC free article] [PubMed] [Google Scholar]
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