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Risk of paediatric multisystem inflammatory syndrome (PIMS-TS) during the SARS-CoV-2 alpha and delta variant waves: National observational and modelling study, 2020-21, England.
Shingleton, Joseph; Burton, Lucy; Williams, Hannah E; Finnie, Thomas J R; Bennett, Emma; Birrell, Paul; Kenny, Simon; Watson-Koszel, Tiffany; Viner, Russell; Arditi, Moshe; DeAngelis, Daniela; Gent, Nick; Ladhani, Shamez N.
  • Shingleton J; Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
  • Burton L; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • Williams HE; Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
  • Finnie TJR; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • Bennett E; Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
  • Birrell P; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • Kenny S; Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
  • Watson-Koszel T; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • Viner R; Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
  • Arditi M; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • DeAngelis D; Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
  • Gent N; MRC Biostatistics Unit, University of Cambridge, School of Clinical Medicine, Cambridge Institute of Public Health, Cambridge, United Kingdom.
  • Ladhani SN; Statistical Modelling and Economics, UK Health Security Agency, Colindale, United Kingdom.
Front Pediatr ; 10: 1034280, 2022.
Article in English | MEDLINE | ID: covidwho-2199088
ABSTRACT

Objectives:

Paediatric Multisystem Inflammatory Syndrome (PIMS-TS) is a rare life-threatening complication that typically occurs several weeks after SARS-CoV-2 infection in children and young people (CYP). We used national and regional-level data from the COVID-19 pandemic waves in England to develop a model to predict PIMS-TS cases.

Methods:

SARS-CoV-2 infections in CYP aged 0-15 years in England were estimated using the PHE-Cambridge real-time model. PIMS-TS cases were identified through the British Paediatric Surveillance Unit during (March-June 2020) and through Secondary Uses Services (SUS) from November 2020. A predictive model was developed to estimate PIMS-TS risk and lag times after SARS-CoV-2 infections.

Results:

During the Alpha wave, the model accurately predicted PIMS-TS cases (506 vs. 502 observed cases), with a median estimated risk of 0.038% (IQR, 0.037-0.041%) of paediatric SARS-CoV-2 infections. For the Delta wave, the median risk of PIMS-TS was significantly lower at 0.026% (IQR, 0.025-0.029%), with 212 observed PIMS-TS cases compared to 450 predicted by the model.

Conclusions:

The model accurately predicted national and regional PIMS-TS cases in CYP during the Alpha wave. PIMS-TS cases were 53% lower than predicted during the Delta wave. Further studies are needed to understand the mechanisms of the observed lower risk with the Delta variant.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Variants Language: English Journal: Front Pediatr Year: 2022 Document Type: Article Affiliation country: Fped.2022.1034280

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Variants Language: English Journal: Front Pediatr Year: 2022 Document Type: Article Affiliation country: Fped.2022.1034280