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486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory syndrome occurring weeks after SARS-CoV-2 infection. Presentation can vary and overlap with other conditions, including acute COVID-19 and Kawasaki disease. Identifying clusters of MIS-C phe...

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Autores principales: Ma, Kevin, Yousaf, Anna R, Lindsey, Katherine N, Melgar, Michael, Miller, Allison D, Shah, Ami B, Wu, Michael J, Campbell, Angela P, Zambrano, Laura D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679355/
http://dx.doi.org/10.1093/ofid/ofad500.556
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author Ma, Kevin
Yousaf, Anna R
Lindsey, Katherine N
Melgar, Michael
Miller, Allison D
Shah, Ami B
Wu, Michael J
Campbell, Angela P
Zambrano, Laura D
author_facet Ma, Kevin
Yousaf, Anna R
Lindsey, Katherine N
Melgar, Michael
Miller, Allison D
Shah, Ami B
Wu, Michael J
Campbell, Angela P
Zambrano, Laura D
author_sort Ma, Kevin
collection PubMed
description BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory syndrome occurring weeks after SARS-CoV-2 infection. Presentation can vary and overlap with other conditions, including acute COVID-19 and Kawasaki disease. Identifying clusters of MIS-C phenotypes informs efforts to reduce misclassification, characterize pathogenesis, and tailor treatments. Here we describe clusters of presentation using the largest collection of U.S. MIS-C cases to date. METHODS: We analyzed 9131 MIS-C cases reported to CDC from 55 U.S. health departments; onset dates ranged from February 2020–October 2022. Thirty-one dichotomous clinical variables were selected for clustering after excluding ones with high (≥ 15%) missingness or rare (≤ 10%) or high (≥ 90%) prevalence. We excluded 595 cases with ≥ 5 missing variables and conducted multiple imputation on the remaining 8536 cases. Latent class analysis (LCA) was run using the poLCA R package; the number of clusters was selected based on decreasing information criteria and automated variable selection. RESULTS: LCA identified five clusters, two of which were characterized by distinct organ system involvement: a respiratory symptom-driven cluster primarily affecting older children (N = 483 [5.7% of cases]; median age 14.4 years), and a mucocutaneous symptom-driven cluster primarily affecting young children (N = 1956 [22.9%]; median age 5.8 years) (Fig. 1). The remaining three clusters delineated a spectrum of clinical severity, with clinically mild and moderate clusters with infrequent shock (N = 2566 [30.0%] and N = 1650 [19.3%], respectively), and a severe cluster (N = 1881 [22.0%]) with shock and ICU admission for nearly all cases (Fig. 2). The proportion of cases belonging to this clinically severe cluster decreased over time as proportions of the mild/moderate clusters increased (Fig. 3). The case fatality ratio was highest in the respiratory (5.0%) and clinically severe clusters (1.6%) compared with other MIS-C cases (0.2%; P < 0.001). [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: MIS-C cases reported to CDC national surveillance clustered into five groups with distinct symptoms and severity. Use of MIS-C phenotypic clusters in future studies may inform treatment decisions and assist with prognosis. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-106793552023-11-27 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022 Ma, Kevin Yousaf, Anna R Lindsey, Katherine N Melgar, Michael Miller, Allison D Shah, Ami B Wu, Michael J Campbell, Angela P Zambrano, Laura D Open Forum Infect Dis Abstract BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory syndrome occurring weeks after SARS-CoV-2 infection. Presentation can vary and overlap with other conditions, including acute COVID-19 and Kawasaki disease. Identifying clusters of MIS-C phenotypes informs efforts to reduce misclassification, characterize pathogenesis, and tailor treatments. Here we describe clusters of presentation using the largest collection of U.S. MIS-C cases to date. METHODS: We analyzed 9131 MIS-C cases reported to CDC from 55 U.S. health departments; onset dates ranged from February 2020–October 2022. Thirty-one dichotomous clinical variables were selected for clustering after excluding ones with high (≥ 15%) missingness or rare (≤ 10%) or high (≥ 90%) prevalence. We excluded 595 cases with ≥ 5 missing variables and conducted multiple imputation on the remaining 8536 cases. Latent class analysis (LCA) was run using the poLCA R package; the number of clusters was selected based on decreasing information criteria and automated variable selection. RESULTS: LCA identified five clusters, two of which were characterized by distinct organ system involvement: a respiratory symptom-driven cluster primarily affecting older children (N = 483 [5.7% of cases]; median age 14.4 years), and a mucocutaneous symptom-driven cluster primarily affecting young children (N = 1956 [22.9%]; median age 5.8 years) (Fig. 1). The remaining three clusters delineated a spectrum of clinical severity, with clinically mild and moderate clusters with infrequent shock (N = 2566 [30.0%] and N = 1650 [19.3%], respectively), and a severe cluster (N = 1881 [22.0%]) with shock and ICU admission for nearly all cases (Fig. 2). The proportion of cases belonging to this clinically severe cluster decreased over time as proportions of the mild/moderate clusters increased (Fig. 3). The case fatality ratio was highest in the respiratory (5.0%) and clinically severe clusters (1.6%) compared with other MIS-C cases (0.2%; P < 0.001). [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: MIS-C cases reported to CDC national surveillance clustered into five groups with distinct symptoms and severity. Use of MIS-C phenotypic clusters in future studies may inform treatment decisions and assist with prognosis. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10679355/ http://dx.doi.org/10.1093/ofid/ofad500.556 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Ma, Kevin
Yousaf, Anna R
Lindsey, Katherine N
Melgar, Michael
Miller, Allison D
Shah, Ami B
Wu, Michael J
Campbell, Angela P
Zambrano, Laura D
486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title_full 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title_fullStr 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title_full_unstemmed 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title_short 486. Phenotypic Clusters of Clinical Presentation and Severity Among Children with Multisystem Inflammatory Syndrome — United States, February 2020–October 2022
title_sort 486. phenotypic clusters of clinical presentation and severity among children with multisystem inflammatory syndrome — united states, february 2020–october 2022
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679355/
http://dx.doi.org/10.1093/ofid/ofad500.556
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