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Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study

BACKGROUND: Despite advances in neonatal intensive care, babies admitted to Neonatal Intensive Care Units (NICU) suffer from adverse outcomes. We aim to describe the longer-term respiratory infectious morbidity of infants discharged from NICU using state-wide population-based linked data in Western...

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Autores principales: Stevenson, Paul G., Cooper, Matthew N., Billingham, Wesley, de Klerk, Nicholas, Simpson, Shannon J., Strunk, Tobias, Moore, Hannah C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314380/
https://www.ncbi.nlm.nih.gov/pubmed/37393229
http://dx.doi.org/10.1186/s12887-023-04152-5
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author Stevenson, Paul G.
Cooper, Matthew N.
Billingham, Wesley
de Klerk, Nicholas
Simpson, Shannon J.
Strunk, Tobias
Moore, Hannah C.
author_facet Stevenson, Paul G.
Cooper, Matthew N.
Billingham, Wesley
de Klerk, Nicholas
Simpson, Shannon J.
Strunk, Tobias
Moore, Hannah C.
author_sort Stevenson, Paul G.
collection PubMed
description BACKGROUND: Despite advances in neonatal intensive care, babies admitted to Neonatal Intensive Care Units (NICU) suffer from adverse outcomes. We aim to describe the longer-term respiratory infectious morbidity of infants discharged from NICU using state-wide population-based linked data in Western Australia. STUDY DESIGN: We used probabilistically linked population-based administrative data to analyse respiratory infection morbidity in a cohort of 23,784 infants admitted to the sole tertiary NICU, born 2002–2013 with follow up to 2015. We analysed incidence rates of secondary care episodes (emergency department presentations and hospitalisations) by acute respiratory infection (ARI) diagnosis, age, gestational age and presence of chronic lung disease (CLD). Poisson regression was used to investigate the differences in rates of ARI hospital admission between gestational age groups and those with CLD, after adjusting for age at hospital admission. RESULTS: From 177,367 child-years at risk (i.e., time that a child could experience an ARI outcome), the overall ARI hospitalisation rate for infants and children aged 0–8 years was 71.4/1000 (95% confidence interval, CI: 70.1, 72.6), with the highest rates in infants aged 0–5 months (242.9/1000). For ARI presentations to emergency departments, equivalent rates were 114/1000 (95% CI: 112.4, 115.5) and 337.6/1000, respectively. Bronchiolitis was the most common diagnosis among both types of secondary care, followed by upper respiratory tract infections. Extremely preterm infants (< 28 weeks gestation at birth) were 6.5 (95% CI: 6.0, 7.0) times more likely and those with CLD were 5.0 (95% CI: 4.7, 5.4) times more likely to be subsequently admitted for ARI than those in NICU who were not preterm or had CLD after adjusting for age at hospital admission. CONCLUSIONS: There is an ongoing burden of ARI in children who graduate from the NICU, especially those born extremely preterm, that persists into early childhood. Early life interventions to prevent respiratory infections in these children and understanding the lifelong impact of early ARI on later lung health are urgent priorities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04152-5.
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spelling pubmed-103143802023-07-02 Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study Stevenson, Paul G. Cooper, Matthew N. Billingham, Wesley de Klerk, Nicholas Simpson, Shannon J. Strunk, Tobias Moore, Hannah C. BMC Pediatr Research BACKGROUND: Despite advances in neonatal intensive care, babies admitted to Neonatal Intensive Care Units (NICU) suffer from adverse outcomes. We aim to describe the longer-term respiratory infectious morbidity of infants discharged from NICU using state-wide population-based linked data in Western Australia. STUDY DESIGN: We used probabilistically linked population-based administrative data to analyse respiratory infection morbidity in a cohort of 23,784 infants admitted to the sole tertiary NICU, born 2002–2013 with follow up to 2015. We analysed incidence rates of secondary care episodes (emergency department presentations and hospitalisations) by acute respiratory infection (ARI) diagnosis, age, gestational age and presence of chronic lung disease (CLD). Poisson regression was used to investigate the differences in rates of ARI hospital admission between gestational age groups and those with CLD, after adjusting for age at hospital admission. RESULTS: From 177,367 child-years at risk (i.e., time that a child could experience an ARI outcome), the overall ARI hospitalisation rate for infants and children aged 0–8 years was 71.4/1000 (95% confidence interval, CI: 70.1, 72.6), with the highest rates in infants aged 0–5 months (242.9/1000). For ARI presentations to emergency departments, equivalent rates were 114/1000 (95% CI: 112.4, 115.5) and 337.6/1000, respectively. Bronchiolitis was the most common diagnosis among both types of secondary care, followed by upper respiratory tract infections. Extremely preterm infants (< 28 weeks gestation at birth) were 6.5 (95% CI: 6.0, 7.0) times more likely and those with CLD were 5.0 (95% CI: 4.7, 5.4) times more likely to be subsequently admitted for ARI than those in NICU who were not preterm or had CLD after adjusting for age at hospital admission. CONCLUSIONS: There is an ongoing burden of ARI in children who graduate from the NICU, especially those born extremely preterm, that persists into early childhood. Early life interventions to prevent respiratory infections in these children and understanding the lifelong impact of early ARI on later lung health are urgent priorities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04152-5. BioMed Central 2023-07-01 /pmc/articles/PMC10314380/ /pubmed/37393229 http://dx.doi.org/10.1186/s12887-023-04152-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Stevenson, Paul G.
Cooper, Matthew N.
Billingham, Wesley
de Klerk, Nicholas
Simpson, Shannon J.
Strunk, Tobias
Moore, Hannah C.
Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title_full Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title_fullStr Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title_full_unstemmed Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title_short Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
title_sort health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314380/
https://www.ncbi.nlm.nih.gov/pubmed/37393229
http://dx.doi.org/10.1186/s12887-023-04152-5
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