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
Adolescent; Child; Chronic condition; Covid-19; Hospitalisation; Intensive care; Meta-analysis; Mortality; Risk factor; SARS-CoV-2; Severity; Systematic review
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.
Harwood R; Yan H; Talawila Da Camara N; Smith C; Ward J; Tudur-Smith C; Linney M; Clark M; Whittaker E; Saatci D; Davis PJ; Luyt K; Draper ES; Kenny SE; Fraser LK; Viner RM
EClinicalMedicine
2022
<a href="http://doi.org/10.1016/j.eclinm.2022.101287" target="_blank" rel="noreferrer noopener">10.1016/j.eclinm.2022.101287</a>
Place of death and palliative care following discharge from paediatric intensive care units
Child; Female; Humans; infant; Male; Intensive Care Units; Cohort Studies; adolescent; Preschool; infant; Newborn; Hospitalization/statistics & numerical data; Palliative Care/statistics & numerical data; location of death; Pediatric/statistics & numerical data; child mortality; Great Britain/epidemiology; Home Care Services/statistics & numerical data; Hospice Care/statistics & numerical data; Patient Discharge/statistics & numerical data; Referral and Consultation/statistics & numerical data
OBJECTIVE: To determine where children die following discharge from paediatric intensive care units (PICUs) in Great Britain and to investigate if this varies by discharge to palliative care. DESIGN: National cohort of PICU admissions linked to Office of National Statistics death certificate data. SETTING: 31 PICUs in Great Britain. PARTICIPANTS: A cohort of 35 383 children admitted to PICUs between 1 November 2002 until 25 January 2007. MAIN OUTCOME MEASURES: Place of death by palliative care discharge status. RESULTS: 2346 (6.6%) deaths occurred after discharge during the study period, which is more than 10 times the normal child population mortality of 6.0 per 1000. Discharge to palliative care resulted in fewer deaths in hospital (44.1%) (compared to non-palliative care discharges (77.7%)), a greater proportion of deaths were at home (33.3% compared to non-palliative discharges 16.1%) and in a hospice (22.5% compared to non-palliative discharges 5.8%). CONCLUSIONS: Children referred to palliative care services at discharge from PICU are more likely to die in the community (home or hospice) than children not referred to palliative care.
Fraser LK; Miller M; Draper ES; McKinney PA; Parslow RC; Paediatric Intensive Care Audit Network
Archives Of Disease In Childhood
2011
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Journal Article
<a href="http://doi.org/10.1136/adc.2009.178269" target="_blank" rel="noreferrer">10.1136/adc.2009.178269</a>
Modelling Neonatal Care Pathways For Babies Born Preterm: An Application Of Multistate Modelling.
Time; Infant; Competing Risks; Premature Babies; Death; Multidisciplinary Sciences; Survival; Population; Length; Variables; Stay; Babies; Funding; Health Sciences; Data Analysis; Intensive Care; Collaboration
Modelling length of stay in neonatal care is vital to inform service planning and the counselling of parents. Preterm babies, at the highest risk of mortality, can have long stays in neonatal care and require high resource use. Previous work has incorporated babies that die into length of stay estimates, but this still overlooks the levels of care required during their stay. This work incorporates all babies, and the levels of care they require, into length of stay estimates. Data were obtained from the National Neonatal Research Database for singleton babies born at 24-31 weeks gestational age discharged from a neonatal unit in England from 2011 to 2014. A Cox multistate model, adjusted for gestational age, was used to consider a baby's two competing outcomes: death or discharge from neonatal care, whilst also considering the different levels of care required: intensive care; high dependency care and special care. The probabilities of receiving each of the levels of care, or having died or been discharged from neonatal care are presented graphically overall and adjusted for gestational age. Stacked predicted probabilities produced for each week of gestational age provide a useful tool for clinicians when counselling parents about length of stay and for commissioners when considering allocation of resources. Multistate modelling provides a useful method for describing the entire neonatal care pathway, where rates of in-unit mortality can be high. For a healthcare service focussed on costs, it is important to consider all babies that contribute towards workload, and the levels of care they require.
Seaton SE; Barker L; Draper ES; Abrams KR; Modi N; Manktelow BN
Plos One
2016
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
DOI: 10.1371/journal.pone.0165202