Literature DB >> 16704470

Preterm outcome table (POT): a simple tool to aid counselling parents of very preterm infants.

Srinivas Bolisetty1, Barbara Bajuk, M E Abdel-Latif, Abdel-Latif Me, Trina Vincent, Lee Sutton, Kei Lui.   

Abstract

BACKGROUND: Outcome figures published in scientific journals are often cumbersome and difficult to understand by parents during counselling before or immediately after a very premature birth. AIM: To provide simplified up-to-date outcome information in a table for ease of counselling.
METHODS: Regional perinatal mortality rates for very premature births (23-31 weeks gestation) and incidence of significant neonatal events for those admitted to neonatal intensive care units (NICU) were obtained from the NSW Midwives Data Collection, ACT Maternal and Perinatal Data Collection and the NSW and ACT NICUS Data Collection for 2000 and 2001. Neurodevelopmental outcome was obtained for the same cohort at 2-3 years of age, corrected for prematurity. The percentage outcomes were rounded off to the closest conservative multiple of 5 for each data point in a table.
RESULTS: The preterm outcome table (POT) for each gestational week was constructed from a total of 2315 births. Of these, 401 (17.3%) were reported as stillborn and were predominantly of 23 to 25 weeks gestation. Of those admitted to NICU, hospital survival rates were 30, 50, 65, 75, 80, 90 and > 95% for 23, 24, 25, 26, 27, 28-29 and 30-31 weeks, respectively. Neurodevelopmental outcome was available for 470 (75%) children, of whom 15% had a moderate to severe functional disability at 2-3 years of age, corrected for prematurity. Simplified data on survival to discharge and outcome were tabulated.
CONCLUSION: POT appears simple and easy to use but also provides realistic data to assist clinicians in the counselling process.

Entities:  

Mesh:

Year:  2006        PMID: 16704470     DOI: 10.1111/j.1479-828X.2006.00564.x

Source DB:  PubMed          Journal:  Aust N Z J Obstet Gynaecol        ISSN: 0004-8666            Impact factor:   2.100


  8 in total

1.  Neurodevelopmental outcome of extremely low birth weight infants from the Vermont Oxford network: 1998-2003.

Authors:  Charles E Mercier; Michael S Dunn; Karla R Ferrelli; Diantha B Howard; Roger F Soll
Journal:  Neonatology       Date:  2009-11-24       Impact factor: 4.035

2.  Combination antiretroviral use and preterm birth.

Authors:  D Heather Watts; Paige L Williams; Deborah Kacanek; Raymond Griner; Kenneth Rich; Rohan Hazra; Lynne M Mofenson; Hermann A Mendez
Journal:  J Infect Dis       Date:  2012-11-29       Impact factor: 5.226

Review 3.  Intra-amniotic surfactant for women at risk of preterm birth for preventing respiratory distress in newborns.

Authors:  Mohamed E Abdel-Latif; David A Osborn; Daniel Challis
Journal:  Cochrane Database Syst Rev       Date:  2010-01-20

4.  Outcome at two years of age in a Swiss national cohort of extremely preterm infants born between 2000 and 2008.

Authors:  Luregn J Schlapbach; Mark Adams; Elena Proietti; Maude Aebischer; Sebastian Grunt; Cristina Borradori-Tolsa; Myriam Bickle-Graz; Hans Ulrich Bucher; Beatrice Latal; Giancarlo Natalucci
Journal:  BMC Pediatr       Date:  2012-12-28       Impact factor: 2.125

5.  Birth weight independently affects morbidity and mortality of extremely preterm neonates.

Authors:  Apostolos Mamopoulos; Stamatios Petousis; John Tsimpanakos; Sophia Masouridou; Kelly Kountourelli; Chrysoula Margioula-Siarkou; Maria Papouli; David Rousso
Journal:  J Clin Med Res       Date:  2015-05-08

6.  The economic burden of prematurity in Canada.

Authors:  Karissa M Johnston; Katherine Gooch; Ellen Korol; Pamela Vo; Oghenowede Eyawo; Pamela Bradt; Adrian Levy
Journal:  BMC Pediatr       Date:  2014-04-05       Impact factor: 2.125

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

Authors:  Kee Thai Yeo; Nadom Safi; Yueping Alex Wang; Renate Le Marsney; Timothy Schindler; Srinivas Bolisetty; Ross Haslam; Kei Lui
Journal:  BMJ Paediatr Open       Date:  2017-11-01

8.  A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants.

Authors:  Lili He; Hailong Li; Jinghua Wang; Ming Chen; Elveda Gozdas; Jonathan R Dillman; Nehal A Parikh
Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.