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. 2022 Feb:44:101287.
doi: 10.1016/j.eclinm.2022.101287. Epub 2022 Feb 11.

Which children and young people are at higher risk of severe disease and death after hospitalisation with SARS-CoV-2 infection in children and young people: A systematic review and individual patient meta-analysis

Affiliations

Which children and young people are at higher risk of severe disease and death after hospitalisation with SARS-CoV-2 infection in children and young people: A systematic review and individual patient meta-analysis

Rachel Harwood et al. EClinicalMedicine. 2022 Feb.

Abstract

Background: We aimed to describe pre-existing factors associated with severe disease, primarily admission to critical care, and death secondary to SARS-CoV-2 infection in hospitalised children and young people (CYP), within a systematic review and individual patient meta-analysis.

Methods: We searched Pubmed, European PMC, Medline and Embase for case series and cohort studies published between 1st January 2020 and 21st May 2021 which included all CYP admitted to hospital with ≥ 30 CYP with SARS-CoV-2 or ≥ 5 CYP with PIMS-TS or MIS-C. Eligible studies contained (1) details of age, sex, ethnicity or co-morbidities, and (2) an outcome which included admission to critical care, mechanical invasive ventilation, cardiovascular support, or death. Studies reporting outcomes in more restricted groupings of co-morbidities were eligible for narrative review. We used random effects meta-analyses for aggregate study-level data and multilevel mixed effect models for IPD data to examine risk factors (age, sex, comorbidities) associated with admission to critical care and death. Data shown are odds ratios and 95% confidence intervals (CI).PROSPERO: CRD42021235338.

Findings: 83 studies were included, 57 (21,549 patients) in the meta-analysis (of which 22 provided IPD) and 26 in the narrative synthesis. Most studies had an element of bias in their design or reporting. Sex was not associated with critical care or death. Compared with CYP aged 1-4 years (reference group), infants (aged <1 year) had increased odds of admission to critical care (OR 1.63 (95% CI 1.40-1.90)) and death (OR 2.08 (1.57-2.86)). Odds of death were increased amongst CYP over 10 years (10-14 years OR 2.15 (1.54-2.98); >14 years OR 2.15 (1.61-2.88)).The number of comorbid conditions was associated with increased odds of admission to critical care and death for COVID-19 in a step-wise fashion. Compared with CYP without comorbidity, odds ratios for critical care admission were: 1.49 (1.45-1.53) for 1 comorbidity; 2.58 (2.41-2.75) for 2 comorbidities; 2.97 (2.04-4.32) for ≥3 comorbidities. Corresponding odds ratios for death were: 2.15 (1.98-2.34) for 1 comorbidity; 4.63 (4.54-4.74) for 2 comorbidities and 4.98 (3.78-6.65) for ≥3 comorbidities. Odds of admission to critical care were increased for all co-morbidities apart from asthma (0.92 (0.91-0.94)) and malignancy (0.85 (0.17-4.21)) with an increased odds of death in all co-morbidities considered apart from asthma. Neurological and cardiac comorbidities were associated with the greatest increase in odds of severe disease or death. Obesity increased the odds of severe disease and death independently of other comorbidities. IPD analysis demonstrated that, compared to children without co-morbidity, the risk difference of admission to critical care was increased in those with 1 comorbidity by 3.61% (1.87-5.36); 2 comorbidities by 9.26% (4.87-13.65); ≥3 comorbidities 10.83% (4.39-17.28), and for death: 1 comorbidity 1.50% (0.00-3.10); 2 comorbidities 4.40% (-0.10-8.80) and ≥3 co-morbidities 4.70 (0.50-8.90).

Interpretation: Hospitalised CYP at greatest vulnerability of severe disease or death with SARS-CoV-2 infection are infants, teenagers, those with cardiac or neurological conditions, or 2 or more comorbid conditions, and those who are obese. These groups should be considered higher priority for vaccination and for protective shielding when appropriate. Whilst odds ratios were high, the absolute increase in risk for most comorbidities was small compared to children without underlying conditions.

Funding: RH is in receipt of a fellowship from Kidney Research UK (grant no. TF_010_20171124). JW is in receipt of a Medical Research Council Fellowship (Grant No. MR/R00160X/1). LF is in receipt of funding from Martin House Children's Hospice (there is no specific grant number for this). RV is in receipt of a grant from the National Institute of Health Research to support this work (grant no NIHR202322). Funders had no role in study design, data collection, analysis, decision to publish or preparation of the manuscript.

Keywords: Adolescent; COVID-19; Child; Chronic condition; Hospitalisation; Intensive care; Meta-analysis; Mortality; Risk factor; SARS-CoV-2; Severity; Systematic review.

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Conflict of interest statement

KL is the Programme Lead for the National Child Mortality Database. SK is the National Clinical Director for Children and Young People, NHS England and Improvement. ED is the Co-Principle Investigator for the Paediatric Intensive Care Audit Network.

Figures

Fig. 1
Figure 1
Description of the study search and selection process.
Fig. 2
Figure 2
Risk of Bias assessment for studies included in meta-analysis. Representativeness of the exposed cohort: * indicates truly or somewhat representative of exposed cohort. Selection of non-exposed cohort: * indicates drawn from same community as the exposed cohort. Ascertainment of exposure: * indicates taken from secure record or structured interview. Demonstration that outcome of interest was not present at start of the study: * indicates yes. Comparability of cohorts * if the study controls for one factor and ** if it controls for two factors in analysis. Assessment of outcome: * if independently blinded assessment of outcome or using record linkage. Was follow-up long enough for outcomes to occur: * indicates all included patients were followed-up until discharge from hospital. Adequacy of follow-up: * if description of patients who were not followed up.
Fig. 3
Figure 3
Association between demographic features and severe disease following SARS-CoV-2 infection in children. A: Aggregate meta-analysis. B: Individual patient data meta-analysis. LCI- Lower confidence interval, UCI – upper confidence interval. Age ref group: 1–4 years. Sex ref group: female.
Fig. 4
Figure 4
Association between co-morbidity and severe disease in COVID-19 and PIMS-TS, analysed using aggregated extracted data from published studies. UCI- Upper confidence interval, LCI – lower confidence interval. P 0.00 indicates p<0.01.
Fig. 5
Figure 5
Association between co-morbidity and severe disease in COVID-19 and PIMS-TS, analysed using individual patient data with adjustment for age and sex and clustered by study. LCI – lower confidence interval, UCI – upper confidence interval.
Fig. 6
Figure 6
The risk difference for developing severe disease in children with co-morbidities compared to children without co-morbidity, calculated using individual patient data corrected for age and sex. The absolute risk of critical care admission for COVID-19 in children admitted to hospital with no co-morbidity being admitted to critical care is 16.2% and of death is 1.69%. The risk of admission to critical care with paediatric multisystem inflammatory syndrome temporally associated with COVID-19 (PIMS-TS) is 74.5% and the risk of death is 3.09%. LCI-RD – lower confidence interval of the risk difference. UCI-RD – lower confidence interval of the risk difference. RD-p – statistical significance of the risk difference compared to no co-morbidity.

References

    1. Davies N.G., Klepac P., Liu Y., Prem K., Jit M., group CC-w Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat Med. 2020;26(8):1205–1211. doi: 10.1038/s41591-020-0962-9. - DOI - PubMed
    1. Molteni E., Sudre C.H., Canas L.S., et al. Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2. Lancet Child Adolesc Health. 2021;5(10):708–718. - PMC - PubMed
    1. Say D., Crawford N., McNab S., Wurzel D., Steer A., Tosif S. Post-acute COVID-19 outcomes in children with mild and asymptomatic disease. Lancet Child Adolesc Health. 2021;5(6):e22–ee3. - PMC - PubMed
    1. Docherty A., Harrison E., Green C., et al. Features of 20133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ. 2020;22(369):m1985. doi: 10.1136/bmj.m1985. - DOI - PMC - PubMed
    1. Bhopal S.S., Bagaria J., Olabi B., Bhopal R. Children and young people remain at low risk of COVID-19 mortality. Lancet Child Adolesc Health. 2021;5(5):e12–ee3. - PMC - PubMed