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Comparison of perinatal outcomes in small-for-gestational-age infants classified by population-based versus customised birth weight standards.
- Source :
- Australian & New Zealand Journal of Obstetrics & Gynaecology; Aug2012, Vol. 52 Issue 4, p348-355, 8p, 1 Illustration, 4 Charts, 1 Graph
- Publication Year :
- 2012
-
Abstract
- Aims The objective of this study was to derive a customised birth weight standard curve in our institute and to compare the perinatal outcomes of small-for-gestational-age ( SGA) births classified by population-based versus customised birth weight standards. Methods We surveyed 9052 normal singleton deliveries and generated customised standards by adjusting for maternal characteristics and neonatal gender. We compared adverse perinatal outcomes between SGA and non- SGA births classified by both standards. Results According to the population-based standards, mothers of SGA infants were younger, thinner and shorter and had higher rates of nulliparity and female births. We adjusted for these maternal characteristics and neonatal gender in our customised standards. Multivariate analysis revealed that there were no differences in neonatal composite morbidity between the standards. However, infants classified as SGA by the customised standards showed a significantly higher rate of neonatal intensive care unit ( NICU) admission than those classified by the population-based standards. Conclusion Our study showed that customised SGA made no significant differences in neonatal composite morbidity, only a modest increase in NICU admission rate compared to population-based standard. To clarify the association of adverse perinatal outcomes with customised SGA, larger studies are required. [ABSTRACT FROM AUTHOR]
- Subjects :
- STATISTICAL models
SMALL for gestational age
INFANT mortality
KRUSKAL-Wallis Test
FISHER exact test
LOGISTIC regression analysis
NEONATAL intensive care units
PREGNANCY outcomes
MULTIVARIATE analysis
CHI-squared test
DESCRIPTIVE statistics
NEONATAL intensive care
ODDS ratio
ONE-way analysis of variance
APGAR score
ANTHROPOMETRY
DATA analysis software
CONFIDENCE intervals
PREGNANCY complications
Subjects
Details
- Language :
- English
- ISSN :
- 00048666
- Volume :
- 52
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Australian & New Zealand Journal of Obstetrics & Gynaecology
- Publication Type :
- Academic Journal
- Accession number :
- 78234514
- Full Text :
- https://doi.org/10.1111/j.1479-828X.2012.01441.x