Objective To evaluate the effect of fetal sex on singleton pregnancy growth charts customized for parental characteristics, race and parity Methods In a multicentric cross-sectional study, 8070 ultrasonographic examinations from low risk singleton pregnancies between 16 and 40 weeks of gestation were considered. The fetal measurements obtained were biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL). Quantile regression was used to examine the impact of fetal sex across the biometric percentiles of the fetal measurements considered together with parents' height, weight, parity and race. Results Fetal gender resulted to be a significant covariate for BDP, HC and AC with higher values for male fetuses (p≤0.0009). Minimal differences were found among sexes for FL. Parity, maternal race, paternal height and maternal height and weight resulted significantly related to the fetal biometric parameters considered independently from fetal gender. Conclusion In this study we constructed customized biometric growth charts for fetal sex, parental and obstetrical characteristics using quantile regression. The use of gender-specific charts offers the advantage to define individualized normal ranges of fetal biometric parameters at each specific centile. This approach may improve the antenatal identification of abnormal fetal growth.

Rizzo, G., Prefumo, F., Ferrazzi, E., Zanardini, C., Di Martino, D., Boito, S., et al. (2016). THE EFFECT OF FETAL SEX ON CUSTOMISED FETAL GROWTH CHARTS. THE JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 1-26-26 [10.3109/14767058.2016.1149565].

THE EFFECT OF FETAL SEX ON CUSTOMISED FETAL GROWTH CHARTS

RIZZO, GIUSEPPE;
2016-02-02

Abstract

Objective To evaluate the effect of fetal sex on singleton pregnancy growth charts customized for parental characteristics, race and parity Methods In a multicentric cross-sectional study, 8070 ultrasonographic examinations from low risk singleton pregnancies between 16 and 40 weeks of gestation were considered. The fetal measurements obtained were biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL). Quantile regression was used to examine the impact of fetal sex across the biometric percentiles of the fetal measurements considered together with parents' height, weight, parity and race. Results Fetal gender resulted to be a significant covariate for BDP, HC and AC with higher values for male fetuses (p≤0.0009). Minimal differences were found among sexes for FL. Parity, maternal race, paternal height and maternal height and weight resulted significantly related to the fetal biometric parameters considered independently from fetal gender. Conclusion In this study we constructed customized biometric growth charts for fetal sex, parental and obstetrical characteristics using quantile regression. The use of gender-specific charts offers the advantage to define individualized normal ranges of fetal biometric parameters at each specific centile. This approach may improve the antenatal identification of abnormal fetal growth.
2-feb-2016
Online ahead of print
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/40 - GINECOLOGIA E OSTETRICIA
English
Con Impact Factor ISI
customised growth chart; fetal biometry; gender difference; quantile regression
Rizzo, G., Prefumo, F., Ferrazzi, E., Zanardini, C., Di Martino, D., Boito, S., et al. (2016). THE EFFECT OF FETAL SEX ON CUSTOMISED FETAL GROWTH CHARTS. THE JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 1-26-26 [10.3109/14767058.2016.1149565].
Rizzo, G; Prefumo, F; Ferrazzi, E; Zanardini, C; Di Martino, D; Boito, S; Aiello, E; Ghi, T
Articolo su rivista
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/140795
Citazioni
  • ???jsp.display-item.citation.pmc??? 7
  • Scopus 29
  • ???jsp.display-item.citation.isi??? 25
social impact