Imperial College London
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Professor Chris Gale

Faculty of Medicine, School of Public Health

Professor of Neonatal Medicine
 
 
 
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Contact

 

+44 (0)20 3315 3519christopher.gale Website

 
 
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Location

 

Academic Neonatal Medicine, H4.4,Chelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Publications

Citation

BibTex format

@article{Medvedev:2020:10.1016/S2352-4642(20)30021-3,
author = {Medvedev, MM and Brotherton, H and Gai, A and Tann, C and Gale, C and Waiswa, P and Elbourne, D and Lawn, JE and Allen, E},
doi = {10.1016/S2352-4642(20)30021-3},
journal = {Lancet Child and Adolescent Health},
pages = {299--311},
title = {Development and validation of a simplified score to predict neonatal mortality risk among neonates weighing 2000 g or less (NMR-2000): an analysis using data from the UK and The Gambia.},
url = {http://dx.doi.org/10.1016/S2352-4642(20)30021-3},
volume = {4},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: 78% of neonatal deaths occur in sub-Saharan Africa and southern Asia, among which, more than 80% are in low birthweight babies. Existing neonatal mortality risk scores have primarily been developed for high-resource settings. The aim of this study was to develop and validate a score that is practicable for low-income and middle-income countries to predict in-hospital mortality among neonates born weighing 2000 g or less using datasets from the UK and The Gambia. METHODS: This analysis used retrospective data held in the UK National Neonatal Research Database from 187 neonatal units, and data from the Edward Francis Small Teaching Hospital (EFSTH), Banjul, The Gambia. In the UK dataset, neonates were excluded if birthweight was more than 2000 g; if the neonate was admitted aged more than 6 h or following discharge; if the neonate was stillborn; if the neonate died in delivery room; or if they were moribund on admission. The Gambian dataset included all neonates weighing less than 2000 g who were admitted between May 1, 2018, and Sept 30, 2019, who were screened for but not enrolled in the Early Kangaroo Mother Care Trial. 18 studies were reviewed to generate a list of 84 potential parameters. We derived a model to score in-hospital neonatal mortality risk using data from 55029 admissions to a random sample of neonatal units in England and Wales from Jan 1, 2010, to Dec 31, 2016. All candidate variables were included in a complete multivariable model, which was progressively simplified using reverse stepwise selection. We validated the new score (NMR-2000) on 40329 admissions to the remaining units between the same dates and 14818 admissions to all units from Jan 1, to Dec 31, 2017. We also validated the score on 550 neonates admitted to the EFSTH in The Gambia. FINDINGS: 18 candidate variables were selected for inclusion in the modelling process. The final model included three parameters: birthweight, admission oxygen saturation, and highest level of r
AU  - Medvedev,MM
AU  - Brotherton,H
AU  - Gai,A
AU  - Tann,C
AU  - Gale,C
AU  - Waiswa,P
AU  - Elbourne,D
AU  - Lawn,JE
AU  - Allen,E
DO  - 10.1016/S2352-4642(20)30021-3
EP  - 311
PY  - 2020///
SN  - 2352-4642
SP  - 299
TI  - Development and validation of a simplified score to predict neonatal mortality risk among neonates weighing 2000 g or less (NMR-2000): an analysis using data from the UK and The Gambia.
T2  - Lancet Child and Adolescent Health
UR  - http://dx.doi.org/10.1016/S2352-4642(20)30021-3
UR  - https://www.ncbi.nlm.nih.gov/pubmed/32119841
UR  - https://www.sciencedirect.com/science/article/pii/S2352464220300213?via%3Dihub
UR  - http://hdl.handle.net/10044/1/77302
VL  - 4
ER  -
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