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Estimating neonatal length of stay for babies born very preterm
OBJECTIVE: To predict length of stay in neonatal care for all admissions of very preterm singleton babies. SETTING: All neonatal units in England. PATIENTS: Singleton babies born at 24–31 weeks gestational age from 2011 to 2014. Data were extracted from the National Neonatal Research Database. METHO...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580734/ https://www.ncbi.nlm.nih.gov/pubmed/29588296 http://dx.doi.org/10.1136/archdischild-2017-314405 |
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author | Seaton, Sarah E Barker, Lisa Draper, Elizabeth S Abrams, Keith R Modi, Neena Manktelow, Bradley N |
author_facet | Seaton, Sarah E Barker, Lisa Draper, Elizabeth S Abrams, Keith R Modi, Neena Manktelow, Bradley N |
author_sort | Seaton, Sarah E |
collection | PubMed |
description | OBJECTIVE: To predict length of stay in neonatal care for all admissions of very preterm singleton babies. SETTING: All neonatal units in England. PATIENTS: Singleton babies born at 24–31 weeks gestational age from 2011 to 2014. Data were extracted from the National Neonatal Research Database. METHODS: Competing risks methods were used to investigate the competing outcomes of death in neonatal care or discharge from the neonatal unit. The occurrence of one event prevents the other from occurring. This approach can be used to estimate the percentage of babies alive, or who have been discharged, over time. RESULTS: A total of 20 571 very preterm babies were included. In the competing risks model, gestational age was adjusted for as a time-varying covariate, allowing the difference between weeks of gestational age to vary over time. The predicted percentage of death or discharge from the neonatal unit were estimated and presented graphically by week of gestational age. From these percentages, estimates of length of stay are provided as the number of days following birth and corrected gestational age at discharge. CONCLUSIONS: These results can be used in the counselling of parents about length of stay and the risk of mortality. |
format | Online Article Text |
id | pubmed-6580734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65807342019-07-02 Estimating neonatal length of stay for babies born very preterm Seaton, Sarah E Barker, Lisa Draper, Elizabeth S Abrams, Keith R Modi, Neena Manktelow, Bradley N Arch Dis Child Fetal Neonatal Ed Original Article OBJECTIVE: To predict length of stay in neonatal care for all admissions of very preterm singleton babies. SETTING: All neonatal units in England. PATIENTS: Singleton babies born at 24–31 weeks gestational age from 2011 to 2014. Data were extracted from the National Neonatal Research Database. METHODS: Competing risks methods were used to investigate the competing outcomes of death in neonatal care or discharge from the neonatal unit. The occurrence of one event prevents the other from occurring. This approach can be used to estimate the percentage of babies alive, or who have been discharged, over time. RESULTS: A total of 20 571 very preterm babies were included. In the competing risks model, gestational age was adjusted for as a time-varying covariate, allowing the difference between weeks of gestational age to vary over time. The predicted percentage of death or discharge from the neonatal unit were estimated and presented graphically by week of gestational age. From these percentages, estimates of length of stay are provided as the number of days following birth and corrected gestational age at discharge. CONCLUSIONS: These results can be used in the counselling of parents about length of stay and the risk of mortality. BMJ Publishing Group 2019-03 2018-03-27 /pmc/articles/PMC6580734/ /pubmed/29588296 http://dx.doi.org/10.1136/archdischild-2017-314405 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Seaton, Sarah E Barker, Lisa Draper, Elizabeth S Abrams, Keith R Modi, Neena Manktelow, Bradley N Estimating neonatal length of stay for babies born very preterm |
title | Estimating neonatal length of stay for babies born very preterm |
title_full | Estimating neonatal length of stay for babies born very preterm |
title_fullStr | Estimating neonatal length of stay for babies born very preterm |
title_full_unstemmed | Estimating neonatal length of stay for babies born very preterm |
title_short | Estimating neonatal length of stay for babies born very preterm |
title_sort | estimating neonatal length of stay for babies born very preterm |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580734/ https://www.ncbi.nlm.nih.gov/pubmed/29588296 http://dx.doi.org/10.1136/archdischild-2017-314405 |
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