Mode of delivery and neonatal survival of infants with isolated gastroschisis.
OBJECTIVE
We sought to compare neonatal survival of infants with gastroschisis by mode of delivery.


METHODS
We conducted a retrospective cohort study on infants with gastroschisis who were delivered in New York State from 1983 through 1999. We compared neonatal mortality between infants born vaginally and those delivered by cesarean using adjusted hazard ratios derived from Cox proportional hazards regression models.


RESULTS
A total of 354 infants were found to have isolated gastroschisis. Of these, 174 were delivered vaginally, whereas 180 were delivered by cesarean. Neonatal mortality was registered among 18 infants (5.1%); 12 (6.9%) in the vaginal and 6 (3.3%) in the cesarean group. After controlling for potential confounders, the risk for neonatal demise was similar in both the vaginal and cesarean subcohorts (adjusted hazard ratio 0.84, 95% confidence interval [CI] 0.29-2.43). Preterm birth was the morbidity pathway that explained the early demise of infants with gastroschisis, irrespective of mode of delivery (adjusted hazard ratio 3.4, 95% CI 1.10-10.4) whereas small for gestational age did not predict mortality (adjusted hazard ratio 1.04, 95% CI 0.13-8.14).


CONCLUSIONS
In this study the mode of delivery was not found to be associated with neonatal survival of infants with gastroschisis. Preterm birth rather than small for gestational age was the predictor of neonatal death among gastroschisis infants.


METHODS
III
Salihu
Hamisu M
HM
Department of Maternal and Child Health, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35294, USA. hsalihu@uab.edu
Emusu
Donath
D
Aliyu
Zakari Y
ZY
Pierre-Louis
Bosny J
BJ
Druschel
Charlotte M
CM
Kirby
Russell S
RS
D000328:Adult; D036861:Delivery, Obstetric / Q000706:statistics & numerical data*; D005260:Female; D020139:Gastroschisis / Q000453:epidemiology* / Q000209:etiology / Q000401:mortality; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D009518:New York / Q000453:epidemiology; D011247:Pregnancy; D016016:Proportional Hazards Models; D016019:Survival Analysis