Prognostic factors for multisystem inflammatory syndrome in children: A systematic review and meta‐analysis

Author:

Rayner Daniel G.1ORCID,Gou David2,Chen Jason Z. X.3,Zhu Evelyn2,Lin Vallen W.2,Fu Nicole2

Affiliation:

1. Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences McMaster University Hamilton Ontario Canada

2. Faculty of Health Sciences McMaster University Hamilton Ontario Canada

3. Michael G. DeGroote School of Medicine, Faculty of Health Sciences McMaster University Hamilton Ontario Canada

Abstract

AbstractAimMultisystem inflammatory syndrome in children (MIS‐C) is a novel condition that can occur post‐SARS‐CoV‐2 infection in children and adolescents. There is a paucity of evidence on the prognostic factors associated with MIS‐C. The aim of this systematic review and meta‐analysis was to summarise the prognostic factors for MIS‐C development.MethodsFive databases were systematically searched from January 2020 to May 2023 for studies reporting on prognostic factors for MIS‐C using multivariable regression models. Random‐effects meta‐analyses were conducted to pool odds ratios for each prognostic factor. Risk of bias was rated using QUIPS and the GRADE framework was used to assess the certainty of evidence for each unique factor.ResultsTwelve observational studies (N = 18 024) were included, and 13 unique prognostic factors were amenable to meta‐analysis. With moderate certainty, age <12 years, male sex and Black race probably increase the risk of MIS‐C. Malignancy and underlying respiratory disease probably decrease the risk of MIS‐C. Low‐certainty evidence suggests that Asian race may increase the risk of MIS‐C, and comorbidity may decrease the risk of MIS‐C.ConclusionCurrent literature presents several prognostic factors related to MIS‐C following SARS‐CoV‐2 infection. Further research is necessary to elucidate the pathophysiologic mechanisms related to MIS‐C.

Publisher

Wiley

Subject

General Medicine,Pediatrics, Perinatology and Child Health

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