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Platelet role in the prediction of MIS-C severity
INTRODUCTION: Multisystem inflammatory syndrome in children (MIS-C) has been reported as one of the cytokine storm syndromes associated with COVID-19. Despite the several proposed diagnostic criteria, MIS-C remains a diagnostic and clinical challenge. Recent studies have demonstrated that platelets...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285299/ https://www.ncbi.nlm.nih.gov/pubmed/37360365 http://dx.doi.org/10.3389/fped.2023.1153623 |
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author | Snipaitiene, Ausra Sirataviciene, Aurelija Varoneckaite, Leila Sileikiene, Rima Jankauskaite, Lina |
author_facet | Snipaitiene, Ausra Sirataviciene, Aurelija Varoneckaite, Leila Sileikiene, Rima Jankauskaite, Lina |
author_sort | Snipaitiene, Ausra |
collection | PubMed |
description | INTRODUCTION: Multisystem inflammatory syndrome in children (MIS-C) has been reported as one of the cytokine storm syndromes associated with COVID-19. Despite the several proposed diagnostic criteria, MIS-C remains a diagnostic and clinical challenge. Recent studies have demonstrated that platelets (PLTs) play a crucial role in COVID-19 infection and its prognosis. This study aimed to investigate the clinical importance of PLT count and PLT indices in predicting MIS-C severity in children. PATIENTS AND METHODS: We conducted a retrospective single-center study at our university hospital. A total of 43 patients diagnosed with MIS-C during a 2-year period (from October 2020 to October 2022) were included in the study. MIS-C severity was evaluated according to the composite severity score. RESULTS: Half of the patients were treated in the pediatric intensive care unit. No single clinical sign was associated with a severe condition, except for shock (p = 0.041). All the routine biomarkers, such as complete blood count (CBC) and C-reactive protein (CRP), used for MIS-C diagnosis were significant in predicting MIS-C severity. Single PLT parameters, such as mean PLT volume, plateletcrit, or PLT distribution width, did not differ between the severity groups. However, we found that a combination of PLT count and the previously mentioned PLT indices had the potential to predict MIS-C severity. CONCLUSIONS: Our study emphasizes the importance of PLT in MIS-C pathogenesis and severity. It revealed that together with routine biomarkers (e.g., CBC and CRP), it could highly improve the prediction of MIS-C severity. |
format | Online Article Text |
id | pubmed-10285299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102852992023-06-23 Platelet role in the prediction of MIS-C severity Snipaitiene, Ausra Sirataviciene, Aurelija Varoneckaite, Leila Sileikiene, Rima Jankauskaite, Lina Front Pediatr Pediatrics INTRODUCTION: Multisystem inflammatory syndrome in children (MIS-C) has been reported as one of the cytokine storm syndromes associated with COVID-19. Despite the several proposed diagnostic criteria, MIS-C remains a diagnostic and clinical challenge. Recent studies have demonstrated that platelets (PLTs) play a crucial role in COVID-19 infection and its prognosis. This study aimed to investigate the clinical importance of PLT count and PLT indices in predicting MIS-C severity in children. PATIENTS AND METHODS: We conducted a retrospective single-center study at our university hospital. A total of 43 patients diagnosed with MIS-C during a 2-year period (from October 2020 to October 2022) were included in the study. MIS-C severity was evaluated according to the composite severity score. RESULTS: Half of the patients were treated in the pediatric intensive care unit. No single clinical sign was associated with a severe condition, except for shock (p = 0.041). All the routine biomarkers, such as complete blood count (CBC) and C-reactive protein (CRP), used for MIS-C diagnosis were significant in predicting MIS-C severity. Single PLT parameters, such as mean PLT volume, plateletcrit, or PLT distribution width, did not differ between the severity groups. However, we found that a combination of PLT count and the previously mentioned PLT indices had the potential to predict MIS-C severity. CONCLUSIONS: Our study emphasizes the importance of PLT in MIS-C pathogenesis and severity. It revealed that together with routine biomarkers (e.g., CBC and CRP), it could highly improve the prediction of MIS-C severity. Frontiers Media S.A. 2023-06-08 /pmc/articles/PMC10285299/ /pubmed/37360365 http://dx.doi.org/10.3389/fped.2023.1153623 Text en © 2023 Snipaitiene, Sirataviciene, Varoneckaite, Sileikiene and Jankauskaite. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pediatrics Snipaitiene, Ausra Sirataviciene, Aurelija Varoneckaite, Leila Sileikiene, Rima Jankauskaite, Lina Platelet role in the prediction of MIS-C severity |
title | Platelet role in the prediction of MIS-C severity |
title_full | Platelet role in the prediction of MIS-C severity |
title_fullStr | Platelet role in the prediction of MIS-C severity |
title_full_unstemmed | Platelet role in the prediction of MIS-C severity |
title_short | Platelet role in the prediction of MIS-C severity |
title_sort | platelet role in the prediction of mis-c severity |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285299/ https://www.ncbi.nlm.nih.gov/pubmed/37360365 http://dx.doi.org/10.3389/fped.2023.1153623 |
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