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
Emergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Joint Modelling Team, UK Health Security Agency, London, United Kingdom.
Front Pediatr. 2022 Dec 5;10:1034280. doi: 10.3389/fped.2022.1034280. eCollection 2022.
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.
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.
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.
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.
儿童多系统炎症综合征(PIMS-TS)是一种罕见的危及生命的并发症,通常发生在儿童和青少年(CYP)感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)数周后。我们利用英格兰新冠疫情各波次的国家和地区层面数据建立了一个模型来预测PIMS-TS病例。
使用英国公共卫生署-剑桥实时模型估算英格兰0至15岁CYP人群中的SARS-CoV-2感染情况。通过英国儿科监测单位(2020年3月至6月期间)以及二级用途服务(SUS,自2020年11月起)识别PIMS-TS病例。开发了一个预测模型来估算SARS-CoV-2感染后PIMS-TS的风险和延迟时间。
在阿尔法波期间,该模型准确预测了PIMS-TS病例(观察到506例,预测502例),儿科SARS-CoV-2感染的估计风险中位数为0.038%(四分位间距,0.037 - 0.041%)。对于德尔塔波,PIMS-TS的风险中位数显著降低,为0.026%(四分位间距,0.025 - 0.029%),观察到212例PIMS-TS病例,而模型预测为450例。
该模型在阿尔法波期间准确预测了CYP人群中的国家和地区PIMS-TS病例。德尔塔波期间的PIMS-TS病例比预测的低53%。需要进一步研究以了解观察到的德尔塔变异株风险较低的机制。