The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2012
Maternal serum placental growth hormone at 11-13 weeks' gestation in pregnancies delivering small for gestational age neonates.
Оценочное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Sifakis Stavros, Akolekar Ranjit, Kappou Dimitra, Mantas Nikitas, Nicolaides Kypros H
Аннотация
OBJECTIVE: To investigate whether the maternal serum concentration of human placental growth hormone (PGH) at 11-13 weeks' gestation is altered in pregnancies that deliver small for gestational age (SGA) neonates.
METHODS: Maternal serum concentration of PGH was measured in 60 cases that subsequently delivered SGA neonates in the absence of preeclampsia and compared to 120 non-SGA controls.
RESULTS: In the SGA group, compared to the non-SGA group, there was no significant difference in the median PGH MoM (0.95 MoM, IQR 0.60-1.30 vs. 1.00 MoM, IQR 0.70-1.30, p = 0.97). There was no significant association between PGH MoM and birth weight percentile in either the SGA (p = 0.72) or in the non-SGA group (p = 0.63).
CONCLUSION: Maternal serum PGH at 11-13 weeks' gestation is unlikely to be a useful biochemical marker for early prediction of SGA.
METHODS: Maternal serum concentration of PGH was measured in 60 cases that subsequently delivered SGA neonates in the absence of preeclampsia and compared to 120 non-SGA controls.
RESULTS: In the SGA group, compared to the non-SGA group, there was no significant difference in the median PGH MoM (0.95 MoM, IQR 0.60-1.30 vs. 1.00 MoM, IQR 0.70-1.30, p = 0.97). There was no significant association between PGH MoM and birth weight percentile in either the SGA (p = 0.72) or in the non-SGA group (p = 0.63).
CONCLUSION: Maternal serum PGH at 11-13 weeks' gestation is unlikely to be a useful biochemical marker for early prediction of SGA.