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Multisystemic Inflammatory Syndrome in Children: a step towards a better understanding of this entity
Cecília Rotava Buratti1,2, Philippe Jouvet3
1Pediatric Intensive Care, Department of Pediatrics, Hospital de Clínicas de Porto Alegre and Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Insights
A new Multisystem Inflammatory Syndrome in Children (MIS-C) severity score, based on initial PICU data, shows high accuracy in classifying MIS-C severity. This score aids in refining patient management and calls for multicenter validation.
Area of Science:
- Pediatrics
- Infectious Diseases
- Critical Care Medicine
Background:
- Multisystem Inflammatory Syndrome in Children (MIS-C) is a significant post-COVID-19 complication.
- Accurate severity assessment is crucial for effective MIS-C management.
- Existing scoring systems require further validation and refinement.
Purpose of the Study:
- To analyze the methodology of the MIS-C severity score (MSS) proposed by Savorgnan et al.
- To interpret the physiologic profiles associated with MIS-C severity.
- To promote collaborative efforts for validating the MSS prediction model.
Main Methods:
- Review and interpretation of the methodology used by Savorgnan et al. for the MSS.
- Analysis of seven key variables identified during the first 3 hours of Pediatric Intensive Care Unit (PICU) admission.
- Evaluation of the predictive performance using the area under the receiver operating characteristic curve (AUC).
Main Results:
- The proposed MIS-C severity score (MSS) demonstrated high accuracy (AUC >0.90) in stratifying MIS-C severity.
- A specific combination of seven early PICU variables effectively predicts MIS-C severity.
- The study highlights the potential for early identification and risk stratification of MIS-C patients.
Conclusions:
- The MSS represents a promising tool for early MIS-C severity assessment.
- Multicenter validation studies are essential to refine and confirm the predictive model.
- Enhanced understanding and collaborative research are key to improving MIS-C patient outcomes.
Abstract:
As pediatricians, we all have to deal with new childhood inflammatory disorder due to COVID 19: the Multisystem Inflammatory Syndrome in Children (MIS-C). The recent article by Savorgnan et al. on the physiologic profiles associated with MIS-C proposed a classification through the "MIS-C severity score" (MSS). The authors also identified a combination of seven variables collected during the first 3 h of admission in the PICU that contributes to stratify MIS-C severity with an area under the receiver operating characteristic curve (AUC) >0.90. This work represents an important first step in the development of a MIS-C severity score and is a call for collaborative groups to validate the prediction model through multicenter studies and thereby refine the management of MIS-C. IMPACT: The recent article by Savorgnan et al. on physiologic profile associated with MIS-C represents an important first step in the development of an MIS-C severity score and is a call for collaborative groups to validate the prediction model through multicenter studies and thereby refine the management of MIS-C. Our manuscript helps in the methodology interpretation of the manuscript by Savorgnan et al. And our manuscript promotes collaborative work on MIS-C.
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