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Published on: August 7, 2017
Prognostic factors for multisystem inflammatory syndrome in children: A systematic review and meta-analysis
Daniel G Rayner1, David Gou2, Jason Z X Chen3
1Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Insights
Younger age, male sex, and Black race are associated with increased risk of multisystem inflammatory syndrome in children (MIS-C) post-SARS-CoV-2 infection. Malignancy and respiratory disease may decrease MIS-C risk.
Area of Science:
- Pediatric Infectious Diseases
- Epidemiology
- Systematic Reviews
Background:
- Multisystem inflammatory syndrome in children (MIS-C) is a serious condition following SARS-CoV-2 infection.
- Evidence on factors predicting MIS-C development is limited.
- This study systematically reviews prognostic factors for MIS-C.
Approach:
- Systematic search of five databases (Jan 2020-May 2023).
- Inclusion of 12 observational studies (N=18,024) reporting multivariable regression models.
- Meta-analysis of 13 prognostic factors using random-effects models and GRADE framework for evidence certainty.
Key Points:
- Moderate certainty evidence suggests younger age (<12 years), male sex, and Black race increase MIS-C risk.
- Moderate certainty evidence suggests malignancy and underlying respiratory disease decrease MIS-C risk.
- Low certainty evidence indicates Asian race may increase MIS-C risk, while comorbidity may decrease it.
Conclusions:
- Several prognostic factors for MIS-C post-SARS-CoV-2 infection have been identified.
- Further research is needed to understand the underlying pathophysiology of MIS-C.
- This systematic review and meta-analysis provides valuable insights into MIS-C risk stratification.
Aim:
Multisystem 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.
Methods:
Five 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.
Results:
Twelve 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.
Conclusion:
Current 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.
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