Cargando…

Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand

OBJECTIVE: To determine the accuracy of the National Institute of Child Health and Human Development (NICHD) calculator in predicting death and neurodevelopmental impairment in Australian and New Zealand infants. DESIGN: Population-based cohort study. SETTING: Australia and New Zealand. PATIENTS: Pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Yeo, Kee Thai, Safi, Nadom, Wang, Yueping Alex, Marsney, Renate Le, Schindler, Timothy, Bolisetty, Srinivas, Haslam, Ross, Lui, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862164/
https://www.ncbi.nlm.nih.gov/pubmed/29637177
http://dx.doi.org/10.1136/bmjpo-2017-000205
_version_ 1783308181656567808
author Yeo, Kee Thai
Safi, Nadom
Wang, Yueping Alex
Marsney, Renate Le
Schindler, Timothy
Bolisetty, Srinivas
Haslam, Ross
Lui, Kei
author_facet Yeo, Kee Thai
Safi, Nadom
Wang, Yueping Alex
Marsney, Renate Le
Schindler, Timothy
Bolisetty, Srinivas
Haslam, Ross
Lui, Kei
author_sort Yeo, Kee Thai
collection PubMed
description OBJECTIVE: To determine the accuracy of the National Institute of Child Health and Human Development (NICHD) calculator in predicting death and neurodevelopmental impairment in Australian and New Zealand infants. DESIGN: Population-based cohort study. SETTING: Australia and New Zealand. PATIENTS: Preterm infants 22–25 completed weeks gestation. INTERVENTIONS: Comparison of NICHD calculator predicted rates of death and death or neurodevelopmental impairment, with actual rates recorded in the Australian and New Zealand Neonatal Network cohort. MAIN OUTCOME MEASURES: Infant death and death or neurodevelopmental impairment rates. RESULTS: A total of 714 infants were included in the study. Of these infants, 100 (14.0%) were <24 weeks, 389 (54.5%) male, 529 (74.1%) were singletons, 42 (5.9%) had intrauterine growth restriction, 563 (78.9%) received antenatal steroids and 625 (87.5 %) were born in a tertiary hospital. There were 288 deaths (40.3%), 75 infants (10.5%) with neurodevelopment impairment and 363 (50.8%) with death or neurodevelopmental impairment. The area under the curve (AUC) for prediction of death and the composite death or neurodevelopmental impairment by the NICHD calculator in our population was 0.65(95% CI 0.61 to 0.69) and 0.65 (95% CI 0.61 to 0.69), respectively. When stratified and compared with gestational age outcomes, the AUC did not change substantially for the outcomes investigated. The calculator was less accurate with outcome predictions at the extreme categories of predicted outcomes—underestimation of outcomes for those predicted to have the lowest risk (<20%) and overestimation for those in the highest risk category (>80%). CONCLUSION: In our recent cohort of extremely preterm infants, the NICHD model does not accurately predict outcomes and is marginally better than gestational age based outcomes.
format Online
Article
Text
id pubmed-5862164
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-58621642018-04-10 Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand Yeo, Kee Thai Safi, Nadom Wang, Yueping Alex Marsney, Renate Le Schindler, Timothy Bolisetty, Srinivas Haslam, Ross Lui, Kei BMJ Paediatr Open Original Article OBJECTIVE: To determine the accuracy of the National Institute of Child Health and Human Development (NICHD) calculator in predicting death and neurodevelopmental impairment in Australian and New Zealand infants. DESIGN: Population-based cohort study. SETTING: Australia and New Zealand. PATIENTS: Preterm infants 22–25 completed weeks gestation. INTERVENTIONS: Comparison of NICHD calculator predicted rates of death and death or neurodevelopmental impairment, with actual rates recorded in the Australian and New Zealand Neonatal Network cohort. MAIN OUTCOME MEASURES: Infant death and death or neurodevelopmental impairment rates. RESULTS: A total of 714 infants were included in the study. Of these infants, 100 (14.0%) were <24 weeks, 389 (54.5%) male, 529 (74.1%) were singletons, 42 (5.9%) had intrauterine growth restriction, 563 (78.9%) received antenatal steroids and 625 (87.5 %) were born in a tertiary hospital. There were 288 deaths (40.3%), 75 infants (10.5%) with neurodevelopment impairment and 363 (50.8%) with death or neurodevelopmental impairment. The area under the curve (AUC) for prediction of death and the composite death or neurodevelopmental impairment by the NICHD calculator in our population was 0.65(95% CI 0.61 to 0.69) and 0.65 (95% CI 0.61 to 0.69), respectively. When stratified and compared with gestational age outcomes, the AUC did not change substantially for the outcomes investigated. The calculator was less accurate with outcome predictions at the extreme categories of predicted outcomes—underestimation of outcomes for those predicted to have the lowest risk (<20%) and overestimation for those in the highest risk category (>80%). CONCLUSION: In our recent cohort of extremely preterm infants, the NICHD model does not accurately predict outcomes and is marginally better than gestational age based outcomes. BMJ Publishing Group 2017-11-01 /pmc/articles/PMC5862164/ /pubmed/29637177 http://dx.doi.org/10.1136/bmjpo-2017-000205 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Original Article
Yeo, Kee Thai
Safi, Nadom
Wang, Yueping Alex
Marsney, Renate Le
Schindler, Timothy
Bolisetty, Srinivas
Haslam, Ross
Lui, Kei
Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title_full Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title_fullStr Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title_full_unstemmed Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title_short Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand
title_sort prediction of outcomes of extremely low gestational age newborns in australia and new zealand
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862164/
https://www.ncbi.nlm.nih.gov/pubmed/29637177
http://dx.doi.org/10.1136/bmjpo-2017-000205
work_keys_str_mv AT yeokeethai predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT safinadom predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT wangyuepingalex predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT marsneyrenatele predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT schindlertimothy predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT bolisettysrinivas predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT haslamross predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand
AT luikei predictionofoutcomesofextremelylowgestationalagenewbornsinaustraliaandnewzealand