Literature DB >> 10732308

Neonatal outcome in small for gestational age infants: do they really better?

L Gortner1, R R Wauer, G J Stock, H L Reiter, I Reiss, G Jorch, R Hentschel, G Hieronimi.   

Abstract

BACKGROUND: There still is a controversy as to the neonatal outcome of small for gestational age (SGA) infants compared to a appropriate for gestational age (AGA) preterm infants. As a part of a randomized multicenter trial on timing of bovine surfactant therapy, we aimed at investigating short-term outcome variables in SGA-infants compared with AGA-infants.
METHODS: SGA-infants were classified weighing below the 10th percentile at birth and were compared to AGA-infants in terms of prenatal and neonatal characteristics and neonatal outcome.
RESULTS: A total of 317 infants were enrolled, 59 SGA- and 258 AGA-infants. Both groups did not differ in gestational age, however, SGA-infants had a lower birth weight. Preterm premature rupture of fetal membranes was observed more frequently in AGA-, preeclampsia in SGA-infants. The rate of intubation, severity of RDS, rate of surfactant administration, pulmonary airleaks and days on the ventilator did not differ between both groups. However prolonged nasal CPAP, supplemental oxygen therapy and chronic lung disease at 28 days and 36 weeks was diagnosed more often in SGA-infants. Furthermore mortality was significantly higher in SGA-infants as well as total NICU and total hospital days.
CONCLUSION: As SGA-infants have an increased mortality rate and an increased risk for developing chronic lung disease, further studies should focus on prevention of intrauterine growth restriction and its complications.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10732308     DOI: 10.1515/JPM.1999.065

Source DB:  PubMed          Journal:  J Perinat Med        ISSN: 0300-5577            Impact factor:   1.901


  12 in total

1.  Population based study on the outcome of small for gestational age newborns.

Authors:  D B Bartels; L Kreienbrock; O Dammann; P Wenzlaff; C F Poets
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2005-01       Impact factor: 5.747

2.  Prenatal predictors of mortality in very preterm infants cared for in the Australian and New Zealand Neonatal Network.

Authors:  N Evans; J Hutchinson; J M Simpson; D Donoghue; B Darlow; D Henderson-Smart
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2006-07-28       Impact factor: 5.747

3.  Neonatal outcome of small for gestational age preterm infants.

Authors:  Stefano Nobile; Paolo Marchionni; Virgilio P Carnielli
Journal:  Eur J Pediatr       Date:  2017-06-28       Impact factor: 3.183

4.  A co-twin study of the relative effect of birth weight and gestational age on retinopathy of prematurity.

Authors:  S J Woo; K H Park; J Ahn; K J Oh; S Y Lee; E H Jeong; K H Park
Journal:  Eye (Lond)       Date:  2011-08-26       Impact factor: 3.775

Review 5.  Volume-targeted versus pressure-limited ventilation in neonates.

Authors:  Claus Klingenberg; Kevin I Wheeler; Naomi McCallion; Colin J Morley; Peter G Davis
Journal:  Cochrane Database Syst Rev       Date:  2017-10-17

6.  Characteristic clinical features associated with aggressive posterior retinopathy of prematurity.

Authors:  Y J Ahn; K E Hong; H R Yum; J H Lee; K S Kim; Y A Youn; S H Park
Journal:  Eye (Lond)       Date:  2017-02-24       Impact factor: 3.775

7.  Validation of disease-specific biomarkers for the early detection of bronchopulmonary dysplasia.

Authors:  Alida S D Kindt; Kai M Förster; Suzan C M Cochius-den Otter; Andreas W Flemmer; Stefanie M Hauck; Andrew Flatley; Juliette Kamphuis; Stefan Karrasch; Jürgen Behr; Axel Franz; Christoph Härtel; Jan Krumsiek; Dick Tibboel; Anne Hilgendorff
Journal:  Pediatr Res       Date:  2022-05-20       Impact factor: 3.756

8.  Congenital heart disease in low-birth-weight infants: effects of small for gestational age (SGA) status and maturity on postoperative outcomes.

Authors:  Daniel Wei; Colleen Azen; Shazia Bhombal; Laura Hastings; Lisa Paquette
Journal:  Pediatr Cardiol       Date:  2014-07-06       Impact factor: 1.655

9.  Bronchopulmonary Dysplasia Predicted by Developing a Machine Learning Model of Genetic and Clinical Information.

Authors:  Dan Dai; Huiyao Chen; Xinran Dong; Jinglong Chen; Mei Mei; Yulan Lu; Lin Yang; Bingbing Wu; Yun Cao; Jin Wang; Wenhao Zhou; Liling Qian
Journal:  Front Genet       Date:  2021-07-02       Impact factor: 4.599

10.  Comparisons of mortality and pre-discharge respiratory outcomes in small-for-gestational-age and appropriate-for-gestational-age premature infants.

Authors:  Puneet Sharma; Kathleen McKay; Ted S Rosenkrantz; Naveed Hussain
Journal:  BMC Pediatr       Date:  2004-06-08       Impact factor: 2.125

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.