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Title: | Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand. | Authors: | Yeo K.T.;Wang Y.A.;Le Marsney R.;Schindler T.;Bolisetty S.;Haslam R.;Lui K.;Marshall P.;Schmidt P.;Craven P.;De Waal K.;Simmer K.;Gill A.;Pillow J.;Stack J.;Cooke L.;Casalaz D.;Holberton J.;Barfield C.;Downe L.;Singde V.;Stewart M.;Berry A.;Carmo K.B.;Darlow B.;Broadbent R.;Mildenhall L.;Buksh M.;Bourchier D.;Carpenter L.;Richardson V.;Chambers G.;Buckmaster A.;Rajadurai V.S.;Bajuk B.;Safi N.;Hunt R.;Kilburn C.;De Paoli T.;Paradisis M.;Rieger I.;Lutz T.;Reid S.;Cartwright D.;Koorts P.;Kuschel C.;Doyle L.;Numa A.;Carlisle H.;Badawi N.;Koh G.;Resnick S.;Luig M.;Andersen C.;Lyn A. | Institution: | (Yeo, Schindler, Bolisetty, Lui) Department of Newborn Care, Royal Hospital for Women, Sydney, NSW, Australia (Yeo) Department of Neonatology, KK Women's and Children's Hospital, Singapore, Singapore (Safi, Wang) Faculty of Health, University of Technology, Sydney, NSW, Australia (Le Marsney) National Perinatal Epidemiology and Statistics Unit, University of New South Wales, Sydney, NSW, Australia (Schindler, Bolisetty, Lui) School of Women's and Child's Health, University of New South Wales, Sydney, NSW, Australia (Haslam) Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia (Marshall) Flinders Medical Centre, SA, United States (Schmidt) Gold Coast Hospital, QLD, United States (Craven, De Waal) John Hunter Hospital, NSW, Australia (Simmer, Gill, Pillow) King Edward Memorial and Princess Margaret Hospitals, WA, Australia (Stack) Liverpool Hospital, NSW, Australia (Cooke) Mater Mother's Hospital, QLD, Australia (Casalaz, Holberton) Mercy Hospital for Women, VIC, Australia (Barfield) Monash Medical Centre, VIC, Australia (Rajadurai) KK Women's and Children's Hospital, Singapore, Singapore (Downe, Singde) Nepean Hospital, NSW, Australia (Stewart) Newborn Emergency Transport Service, VIC, Australia (Berry, Carmo) NSW Newborn and Paediatric Emergency Transport Service, Australia (Bajuk) NSW Pregnancy and Newborn Services Network, Australia (Hunt) Royal Children's Hospital, VIC, Australia (Kilburn) Royal Darwin Hospital, NT, Australia (De Paoli) Royal Hobart Hospital, TAS, Australia (Lui) Royal Hospital for Women, NSW, Australia (Paradisis) Royal North Shore Hospital, NSW, Australia (Rieger, Lutz, Reid) Royal Prince Alfred Hospital, NSW, Australia (Cartwright, Koorts) Royal Women's Hospital, QLD, Australia (Kuschel, Doyle) Royal Women's Hospital, VIC, Australia (Numa) Sydney Children's Hospital, NSW, Australia (Carlisle) Canberra Hospital, ACT, Australia (Badawi) Children's Hospital, Westmead, NSW, Australia (Koh) Townsville Hospital, QLD, Australia (Resnick) Western Australia Neonatal Transport Service, Australia (Luig) Westmead Hospital, NSW, Australia (Andersen) Women's and Children's Hospital, SA, New Zealand (Lyn) Christchurch Women's Hospital, New Zealand (Darlow) Christchurch School of Medicine, Australia (Broadbent) Dunedin Hospital, Canada (Mildenhall) Middlemore Hospital, New Zealand (Buksh) National Women's Hospital, New Zealand (Bourchier, Carpenter) Waikato Hospital, New Zealand (Richardson) Wellington Women's Hospital, New Zealand (Haslam, Chambers) National Perinatal Statistics and Epidemiology Unit, University of New South Wales, Australia (Buckmaster) Gosford Hospital, NSW, Australia | Issue Date: | 2-Oct-2018 | Copyright year: | 2017 | Publisher: | BMJ Publishing Group (E-mail: subscriptions@bmjgroup.com) | Place of publication: | United Kingdom | Publication information: | BMJ Paediatrics Open. 1 (1) (no pagination), 2017. Article Number: Y. Date of Publication: December 2017. | Abstract: | 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.Copyright © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. | DOI: | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1136/bmjpo-2017-000205 | ISSN: | 2399-9772 (electronic) | URI: | https://repository.monashhealth.org/monashhealthjspui/handle/1/38260 | Type: | Article | Type of Clinical Study or Trial: | Observational study (cohort, case-control, cross sectional or survey) |
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