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Observational Study
. 2020 Aug 27:370:m3249.
doi: 10.1136/bmj.m3249.

Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study

Collaborators, Affiliations
Observational Study

Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study

Olivia V Swann et al. BMJ. .

Abstract

Objective: To characterise the clinical features of children and young people admitted to hospital with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the UK and explore factors associated with admission to critical care, mortality, and development of multisystem inflammatory syndrome in children and adolescents temporarily related to coronavirus disease 2019 (covid-19) (MIS-C).

Design: Prospective observational cohort study with rapid data gathering and near real time analysis.

Setting: 260 hospitals in England, Wales, and Scotland between 17 January and 3 July 2020, with a minimum follow-up time of two weeks (to 17 July 2020).

Participants: 651 children and young people aged less than 19 years admitted to 138 hospitals and enrolled into the International Severe Acute Respiratory and emergency Infections Consortium (ISARIC) WHO Clinical Characterisation Protocol UK study with laboratory confirmed SARS-CoV-2.

Main outcome measures: Admission to critical care (high dependency or intensive care), in-hospital mortality, or meeting the WHO preliminary case definition for MIS-C.

Results: Median age was 4.6 (interquartile range 0.3-13.7) years, 35% (225/651) were under 12 months old, and 56% (367/650) were male. 57% (330/576) were white, 12% (67/576) South Asian, and 10% (56/576) black. 42% (276/651) had at least one recorded comorbidity. A systemic mucocutaneous-enteric cluster of symptoms was identified, which encompassed the symptoms for the WHO MIS-C criteria. 18% (116/632) of children were admitted to critical care. On multivariable analysis, this was associated with age under 1 month (odds ratio 3.21, 95% confidence interval 1.36 to 7.66; P=0.008), age 10-14 years (3.23, 1.55 to 6.99; P=0.002), and black ethnicity (2.82, 1.41 to 5.57; P=0.003). Six (1%) of 627 patients died in hospital, all of whom had profound comorbidity. 11% (52/456) met the WHO MIS-C criteria, with the first patient developing symptoms in mid-March. Children meeting MIS-C criteria were older (median age 10.7 (8.3-14.1) v 1.6 (0.2-12.9) years; P<0.001) and more likely to be of non-white ethnicity (64% (29/45) v 42% (148/355); P=0.004). Children with MIS-C were five times more likely to be admitted to critical care (73% (38/52) v 15% (62/404); P<0.001). In addition to the WHO criteria, children with MIS-C were more likely to present with fatigue (51% (24/47) v 28% (86/302); P=0.004), headache (34% (16/47) v 10% (26/263); P<0.001), myalgia (34% (15/44) v 8% (21/270); P<0.001), sore throat (30% (14/47) v (12% (34/284); P=0.003), and lymphadenopathy (20% (9/46) v 3% (10/318); P<0.001) and to have a platelet count of less than 150 × 109/L (32% (16/50) v 11% (38/348); P<0.001) than children who did not have MIS-C. No deaths occurred in the MIS-C group.

Conclusions: Children and young people have less severe acute covid-19 than adults. A systemic mucocutaneous-enteric symptom cluster was also identified in acute cases that shares features with MIS-C. This study provides additional evidence for refining the WHO MIS-C preliminary case definition. Children meeting the MIS-C criteria have different demographic and clinical features depending on whether they have acute SARS-CoV-2 infection (polymerase chain reaction positive) or are post-acute (antibody positive).

Study registration: ISRCTN66726260.

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Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support from the National Institute for Health Research and the Medical Research Council; JSN-V-T received grants from the Department of Health and Social Care, England, during the conduct of the study; PWH received grants from the Wellcome Trust, Department for International Development, and Bill and Melinda Gates Foundation and from NIHR during the conduct of the study; PJMO received personal fees from consultancy and grants from MRC, grants from EU Grant, grants from NIHR Biomedical Research Centre, grants from MRC/GSK, grants from Wellcome Trust, grants from NIHR (HPRU), grants from NIHR Senior Investigator, personal fees from European Respiratory Society, and grants from MRC Global Challenge Research Fund, outside the submitted work, and although the role of president of the British Society for Immunology was an unpaid appointment, travel and accommodation at some meetings is provided by the society; AMD received grants from Department of Health and Social Care, during the conduct of the study, and grants from Wellcome Trust outside the submitted work; JKB received grants from DHSC National Institute of Health Research UK, Medical Research Council UK, Wellcome Trust, Fiona Elizabeth Agnew Trust, Intensive Care Society, and Chief Scientist Office, during the conduct of the study; MGS received grants from DHSC National Institute of Health Research UK, Medical Research Council UK, and Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, during the conduct of the study, and from Integrum Scientific LLC, Greensboro, NC, USA, outside the submitted work; no other relationships or activities that could appear to have influenced the submitted work.

Figures

Fig 1
Fig 1
Proportion of patients presenting with each symptom
Fig 2
Fig 2
Heatmap with dendrogram describing clusters (coloured) of co-occurring symptoms calculated using hierarchical clustering with Jaccard distance as metric and complete linkage. Heatmap shows pairwise Jaccard indices among 20 symptoms. Jaccard index is measure of similarity that calculates ratio of number of times two symptoms appear together in data and number of times either of them appears in data. Index varies between 0 and 1, with 0 implying that two symptoms never appear together (no co-occurrence) and 1 implying that two symptoms appear only together (co-occurrence only). Dendrogram describing clusters of symptoms in heatmap was calculated using hierarchical clustering with Jaccard distance as metric and complete linkage, where Jaccard distance is calculated by subtracting Jaccard index from 1. Lower chest=lower chest wall indrawing
Fig 3
Fig 3
Dates of symptom onset for paediatric cases of SARS-CoV-2 infection and cases meeting WHO preliminary criteria for multisystem inflammatory syndrome in children and adolescents (MIS-C) in ISARIC WHO CCP-UK cohort over time

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