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COVID-IMPACT project: Hospital admissions linked to SARS-CoV-2 infection in children: a cohort study of 3.2 million first ascertained infections in England

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Hospital admissions linked to SARS-CoV-2 infection in children: a cohort study of 3.2 million first ascertained infections in England

Harrison Wilde, Christopher Tomlinson, Bilal A Mateen, David Selby, Hari Krishnan Kanthimathinathan, Padmanabhan Ramnarayan, Pascale Du Pre, Mae Johnson, Nazima Pathan, Arturo Gonzalez-Izquierdo, Alvina G Lai, Deepti Gurdasani, Christina Pagel, Spiros Denaxas, Sebastian Vollmer, Katherine Brown, On behalf of the CVD-COVID-UK/COVID-IMPACT consortium

Project description

We aim to describe the first occurrences of hospitalisations related to SARS-CoV-2 occurring amongst all first infections in the under-18 population in England. We use a hierarchical approach to categorise admissions according to their nature using input from a board of expert clinicians. These categories identify those admissions caused or contributed to by SARS-CoV-2 infection, versus admissions that were incidental to infection or nosocomial, splitting into interesting and significant sub-types where appropriate. Additionally, we explore the role and changing distributions of demographics, underlying health conditions and risk factors, and variant eras in these admissions.

How to cite this work

Wilde H, Tomlinson C, Mateen B A, Selby D, Kanthimathinathan H K, Ramnarayan P et al. Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England. BMJ 2023; 382:e073639 doi:10.1136/bmj-2022-073639

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Project approval

This is a sub-project of project CCU029 approved by the CVD-COVID-UK / COVID-IMPACT Approvals & Oversight Board (sub-project: CCU029_01).

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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COVID-IMPACT project: Hospital admissions linked to SARS-CoV-2 infection in children: a cohort study of 3.2 million first ascertained infections in England

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