Contribution of ethnicity, area level deprivation and air pollution to paediatric intensive care unit admissions in the United Kingdom 2008-2021.

Air pollution Ethnicity Health inequalities Paediatric intensive care Socioeconomic deprivation

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 10 05 2024
revised: 20 07 2024
accepted: 22 07 2024
medline: 9 9 2024
pubmed: 9 9 2024
entrez: 9 9 2024
Statut: epublish

Résumé

There is emerging evidence on the impact of social and environmental determinants of health on paediatric intensive care unit (PICU) admissions and outcomes. We analysed UK paediatric intensive care data to explore disparities in the incidence of admission according to a child's ethnicity and the degree of deprivation and pollution in the child's residential area. Data were extracted on children <16 years admitted to UK PICUs between 1st January 2008 and 31st December 2021 from the Paediatric Intensive Care Audit Network (PICANet) database. Ethnicity was categorised as White, Asian, Black, Mixed or Other. Deprivation was quantified using the 'children in low-income families' measure and outdoor air pollution was characterised using mean annual PM2.5 level at local authority level, both divided into population-weighted quintiles. UK population estimates were used to calculate crude incidence of PICU admission. Incidence rate ratios were calculated using Poisson regression models. There were 245,099 admissions, of which 60.7% were unplanned. After adjusting for age and sex, Asian and Black children had higher relative incidence of unplanned PICU admission compared to White (IRR 1.29 [95% CI: 1.25-1.33] and 1.50 [95% CI: 1.44-1.56] respectively), but there was no evidence of increased incidence of planned admission. Children living in the most deprived quintile had 1.50 times the incidence of admission in the least deprived quintile (95% CI: 1.46-1.54). There were higher crude admission levels of children living in the most polluted quintile compared to the least (157.8 vs 113.6 admissions per 100,000 child years), but after adjustment for ethnicity, deprivation, age and sex there was no association between pollution and PICU admission (IRR 1.00 [95% CI: 1.00-1.00] per 1 μg/m Ethnicity and deprivation impact the incidence of PICU admission. When restricting to unplanned respiratory admissions and ventilated patients only, increasing pollution level was associated with increased incidence of PICU admission. It is essential to act to reduce these observed disparities, further work is needed to understand mechanisms behind these findings and how they relate to outcomes. There was no direct funding for this project. HM was funded by an NIHR Academic Clinical Fellowship (ACF-2022-18-017).

Sections du résumé

Background UNASSIGNED
There is emerging evidence on the impact of social and environmental determinants of health on paediatric intensive care unit (PICU) admissions and outcomes. We analysed UK paediatric intensive care data to explore disparities in the incidence of admission according to a child's ethnicity and the degree of deprivation and pollution in the child's residential area.
Methods UNASSIGNED
Data were extracted on children <16 years admitted to UK PICUs between 1st January 2008 and 31st December 2021 from the Paediatric Intensive Care Audit Network (PICANet) database. Ethnicity was categorised as White, Asian, Black, Mixed or Other. Deprivation was quantified using the 'children in low-income families' measure and outdoor air pollution was characterised using mean annual PM2.5 level at local authority level, both divided into population-weighted quintiles. UK population estimates were used to calculate crude incidence of PICU admission. Incidence rate ratios were calculated using Poisson regression models.
Findings UNASSIGNED
There were 245,099 admissions, of which 60.7% were unplanned. After adjusting for age and sex, Asian and Black children had higher relative incidence of unplanned PICU admission compared to White (IRR 1.29 [95% CI: 1.25-1.33] and 1.50 [95% CI: 1.44-1.56] respectively), but there was no evidence of increased incidence of planned admission. Children living in the most deprived quintile had 1.50 times the incidence of admission in the least deprived quintile (95% CI: 1.46-1.54). There were higher crude admission levels of children living in the most polluted quintile compared to the least (157.8 vs 113.6 admissions per 100,000 child years), but after adjustment for ethnicity, deprivation, age and sex there was no association between pollution and PICU admission (IRR 1.00 [95% CI: 1.00-1.00] per 1 μg/m
Interpretation UNASSIGNED
Ethnicity and deprivation impact the incidence of PICU admission. When restricting to unplanned respiratory admissions and ventilated patients only, increasing pollution level was associated with increased incidence of PICU admission. It is essential to act to reduce these observed disparities, further work is needed to understand mechanisms behind these findings and how they relate to outcomes.
Funding UNASSIGNED
There was no direct funding for this project. HM was funded by an NIHR Academic Clinical Fellowship (ACF-2022-18-017).

Identifiants

pubmed: 39246717
doi: 10.1016/j.eclinm.2024.102776
pii: S2589-5370(24)00355-9
pmc: PMC11377131
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102776

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

Peter Davis has a paid role as Clinical Reference Group Chair for Paediatric Critical Care until 07/2022 and an unpaid role as Clinical Reference Group Member for Paediatric Critical Care from 08/2022. Sarah Seaton is funded by the Healthcare Quality Improvement Partnership (and equivalent funders from Scotland, Wales, Northern Ireland and Republic of Ireland) in her role as co-PI of PICANet. Hannah Mitchell is funded by an NIHR Academic Clinical Fellowship. The authors have no conflicts of interest relevant to this article to disclose.

Auteurs

Hannah K Mitchell (HK)

Section of Anaesthetics, Pain Medicine, and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, England.
Institute of Child Health, University College London, London, UK.

Sarah E Seaton (SE)

Department of Population Health Sciences, University of Leicester, Leicester, UK.
PICANet, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Christopher Leahy (C)

PICANet, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Khurram Mustafa (K)

Paediatric Intensive Care Unit, Leeds Children's Hospital, Leeds, UK.

Hannah Buckley (H)

PICANet, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Peter Davis (P)

Paediatric Intensive Care Unit, Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

Richard G Feltbower (RG)

PICANet, Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Padmanabhan Ramnarayan (P)

Section of Anaesthetics, Pain Medicine, and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, England.
Children's Acute Transport Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, England.

Classifications MeSH