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Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm

BACKGROUND: The emergence of multisystem inflammatory syndrome in children (MIS-C) during the severe acute respiratory syndrome coronavirus 2 pandemic led to the development of institutional clinical pathways based on expert opinion. We assessed North American paediatric centres’ adaptation to MIS-C...

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Autores principales: Tritt, Ashley, Abda, Ikram-Nour, Dahdah, Nagib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926880/
https://www.ncbi.nlm.nih.gov/pubmed/37969239
http://dx.doi.org/10.1016/j.cjcpc.2022.01.003
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author Tritt, Ashley
Abda, Ikram-Nour
Dahdah, Nagib
author_facet Tritt, Ashley
Abda, Ikram-Nour
Dahdah, Nagib
author_sort Tritt, Ashley
collection PubMed
description BACKGROUND: The emergence of multisystem inflammatory syndrome in children (MIS-C) during the severe acute respiratory syndrome coronavirus 2 pandemic led to the development of institutional clinical pathways based on expert opinion. We assessed North American paediatric centres’ adaptation to MIS-C and analysed the degree of agreement between algorithms on tiered clinical investigations. METHODS: This study evaluated MIS-C diagnostic algorithms from 50 tertiary centres developed between May 2020 and December 2021 in the United States and Canada obtained online and through colleagues in various institutions. Descriptive statistics were used to analyse results. RESULTS: All clinical pathways used a tiered approach, and most required coronavirus disease 2019 polymerase chain reaction testing on presentation. Over one-quarter used a 24-hour fever to initiate investigations, and another quarter used 3 days. Basic biochemical workup was performed in all centres on presentation (complete blood count, inflammatory markers, hepatic, and renal functions). Specialized investigation was generally reserved for secondary testing (cardiac biomarkers, electrocardiogram and echo, and coagulation panel). Institutions were divided on several investigations for tier distribution, including urine studies, blood cultures, chest radiograph, and severe acute respiratory syndrome coronavirus 2 serology. Subspecialty consultations were reserved for second-line testing, including cardiology, infectious disease, and rheumatology. Finally, we propose a composite algorithm representative of the consulted pathways. CONCLUSIONS: Faced with an unprecedented clinical challenge, paediatric institutions responded swiftly with evaluation standardization, adapting to evolving knowledge. Most pathways agreed on initial basic screening tests followed by secondary workup including cardiac investigations. These protocols, developed during a high level of uncertainty, require comparative assessment on efficacy and superiority.
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spelling pubmed-89268802023-11-14 Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm Tritt, Ashley Abda, Ikram-Nour Dahdah, Nagib CJC Pediatr Congenit Heart Dis Quality Improvement BACKGROUND: The emergence of multisystem inflammatory syndrome in children (MIS-C) during the severe acute respiratory syndrome coronavirus 2 pandemic led to the development of institutional clinical pathways based on expert opinion. We assessed North American paediatric centres’ adaptation to MIS-C and analysed the degree of agreement between algorithms on tiered clinical investigations. METHODS: This study evaluated MIS-C diagnostic algorithms from 50 tertiary centres developed between May 2020 and December 2021 in the United States and Canada obtained online and through colleagues in various institutions. Descriptive statistics were used to analyse results. RESULTS: All clinical pathways used a tiered approach, and most required coronavirus disease 2019 polymerase chain reaction testing on presentation. Over one-quarter used a 24-hour fever to initiate investigations, and another quarter used 3 days. Basic biochemical workup was performed in all centres on presentation (complete blood count, inflammatory markers, hepatic, and renal functions). Specialized investigation was generally reserved for secondary testing (cardiac biomarkers, electrocardiogram and echo, and coagulation panel). Institutions were divided on several investigations for tier distribution, including urine studies, blood cultures, chest radiograph, and severe acute respiratory syndrome coronavirus 2 serology. Subspecialty consultations were reserved for second-line testing, including cardiology, infectious disease, and rheumatology. Finally, we propose a composite algorithm representative of the consulted pathways. CONCLUSIONS: Faced with an unprecedented clinical challenge, paediatric institutions responded swiftly with evaluation standardization, adapting to evolving knowledge. Most pathways agreed on initial basic screening tests followed by secondary workup including cardiac investigations. These protocols, developed during a high level of uncertainty, require comparative assessment on efficacy and superiority. Elsevier 2022-02-05 /pmc/articles/PMC8926880/ /pubmed/37969239 http://dx.doi.org/10.1016/j.cjcpc.2022.01.003 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Quality Improvement
Tritt, Ashley
Abda, Ikram-Nour
Dahdah, Nagib
Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title_full Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title_fullStr Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title_full_unstemmed Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title_short Review of MIS-C Clinical Protocols and Diagnostic Pathways: Towards a Consensus Algorithm
title_sort review of mis-c clinical protocols and diagnostic pathways: towards a consensus algorithm
topic Quality Improvement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926880/
https://www.ncbi.nlm.nih.gov/pubmed/37969239
http://dx.doi.org/10.1016/j.cjcpc.2022.01.003
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