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Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study
OBJECTIVE: The purpose of this study was to describe the clinical presentation and physiologic profile of individuals with varying degrees of severity of multisystem inflammatory syndrome in children (MIS-C). METHODS: We performed a retrospective study of children diagnosed with MIS-C admitted to a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106980/ https://www.ncbi.nlm.nih.gov/pubmed/35568731 http://dx.doi.org/10.1038/s41390-022-02108-6 |
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author | Savorgnan, Fabio Moreira, Alvaro Moreira, Axel Annapragada, Ananth Sexson Tejtel, S. Kristen Flores, Saul Rusin, Craig G. Shekerdemian, Lara Acosta, Sebastian |
author_facet | Savorgnan, Fabio Moreira, Alvaro Moreira, Axel Annapragada, Ananth Sexson Tejtel, S. Kristen Flores, Saul Rusin, Craig G. Shekerdemian, Lara Acosta, Sebastian |
author_sort | Savorgnan, Fabio |
collection | PubMed |
description | OBJECTIVE: The purpose of this study was to describe the clinical presentation and physiologic profile of individuals with varying degrees of severity of multisystem inflammatory syndrome in children (MIS-C). METHODS: We performed a retrospective study of children diagnosed with MIS-C admitted to a single quaternary children’s hospital from May 2020 to April 2021. We created an MIS-C severity score using the following parameters: hospital admission status (e.g., floor vs intensive care unit), need for inotropic or vasoactive medications, and need for mechanical ventilation. Univariate and multivariate analyses were performed to associate risk factors corresponding to the MIS-C severity score. RESULTS: The study included 152 children who were followed for 14 days post hospital admission. A stepwise forward selection process identified seven physiologic variables associated with “severe” MIS-C according to a logistic regression. Specifically, a combination of elevated creatinine (p = 0.013), international normalized ratio (p = 0.002), brain natriuretic peptide (p = 0.001), white blood cell count (p = 0.009), ferritin (p = 0.041), respiratory rate (p = 0.047), and decreased albumin (p = 0.047) led to an excellent discrimination between mild versus severe MIS-C (AUC = 0.915). CONCLUSION: This study derived a physiologic profile associated with the stratification of MIS-C severity. IMPACT: Based on a cohort of 152 individuals diagnosed with MIS-C, this study derived a nomenclature that stratifies the severity of MIS-C. Investigated demographic, presentational vital signs, and blood analytes associated with severity of illness. Identification of a multivariate physiologic profile that strongly associates with MIS-C severity. This model allows the care team to recognize patients likely to require a higher level of intensive care. |
format | Online Article Text |
id | pubmed-9106980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91069802022-05-16 Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study Savorgnan, Fabio Moreira, Alvaro Moreira, Axel Annapragada, Ananth Sexson Tejtel, S. Kristen Flores, Saul Rusin, Craig G. Shekerdemian, Lara Acosta, Sebastian Pediatr Res Clinical Research Article OBJECTIVE: The purpose of this study was to describe the clinical presentation and physiologic profile of individuals with varying degrees of severity of multisystem inflammatory syndrome in children (MIS-C). METHODS: We performed a retrospective study of children diagnosed with MIS-C admitted to a single quaternary children’s hospital from May 2020 to April 2021. We created an MIS-C severity score using the following parameters: hospital admission status (e.g., floor vs intensive care unit), need for inotropic or vasoactive medications, and need for mechanical ventilation. Univariate and multivariate analyses were performed to associate risk factors corresponding to the MIS-C severity score. RESULTS: The study included 152 children who were followed for 14 days post hospital admission. A stepwise forward selection process identified seven physiologic variables associated with “severe” MIS-C according to a logistic regression. Specifically, a combination of elevated creatinine (p = 0.013), international normalized ratio (p = 0.002), brain natriuretic peptide (p = 0.001), white blood cell count (p = 0.009), ferritin (p = 0.041), respiratory rate (p = 0.047), and decreased albumin (p = 0.047) led to an excellent discrimination between mild versus severe MIS-C (AUC = 0.915). CONCLUSION: This study derived a physiologic profile associated with the stratification of MIS-C severity. IMPACT: Based on a cohort of 152 individuals diagnosed with MIS-C, this study derived a nomenclature that stratifies the severity of MIS-C. Investigated demographic, presentational vital signs, and blood analytes associated with severity of illness. Identification of a multivariate physiologic profile that strongly associates with MIS-C severity. This model allows the care team to recognize patients likely to require a higher level of intensive care. Nature Publishing Group US 2022-05-14 2023 /pmc/articles/PMC9106980/ /pubmed/35568731 http://dx.doi.org/10.1038/s41390-022-02108-6 Text en © The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Clinical Research Article Savorgnan, Fabio Moreira, Alvaro Moreira, Axel Annapragada, Ananth Sexson Tejtel, S. Kristen Flores, Saul Rusin, Craig G. Shekerdemian, Lara Acosta, Sebastian Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title | Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title_full | Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title_fullStr | Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title_full_unstemmed | Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title_short | Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
title_sort | physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106980/ https://www.ncbi.nlm.nih.gov/pubmed/35568731 http://dx.doi.org/10.1038/s41390-022-02108-6 |
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