open access

Vol 91, No 4 (2020)
Research paper
Published online: 2020-04-29
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Mid-trimester ultrasound parameters for predicting birth weight in low risk pregnancies vs high-risk pregnancies complicated with pre-gestational diabetes mellitus

Anna Gasiorowska1, Agnieszka Zawiejska2, Piotr Dydowicz3, Ewa Wender-Ozegowska2, Grzegorz Poprawski4, Kinga Tobola-Wrobel5, Katarzyna Ziolkowska6, Marek Pietryga35
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Pubmed: 32374022
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Ginekol Pol 2020;91(4):216-222.
Affiliations
  1. Gynaecology and Obstetrics Ward, Specialist Hospital, Zakopane, Poland
  2. Department of Reproduction, Poznan University of Medical Sciences, Poznan, Poland
  3. Prenatal Diagnostic Centre, Gynaecology and Obstetrics Hospital, Poznan University of Medical Sciences, Poznan, Poland
  4. Chair and Department of Oncology, Poznan University of Medical Sciences, Poznan, Poland
  5. Department of Obstetrics and Women’s Health, Chair of Gynaecology, Obstetrics and Gynaecological Oncology, Poznan University of Medical Sciences, Poznan, Poland
  6. Chair and Department of Laboratory Diagnostics, Poznan University of Medical Sciences, Poznan, Poland

open access

Vol 91, No 4 (2020)
ORIGINAL PAPERS Obstetrics
Published online: 2020-04-29

Abstract

Objectives: The aim of the study was to assess the utility of mid-trimester ultrasound parameters in predicting birth weight in low-risk pregnancy and high-risk pregnancy complicated with pregestational diabetes mellitus. Material and methods: A study group comprised 97 healthy women and 160 women with pregestational diabetes (PGDM, type 1), all in singleton pregnancy. Ultrasound examination was performed between weeks 11 and 14, and in weeks 20 and 30 of gestation, based on recommendations of the Polish Society of Gynecologists and Obstetricians, Ultrasonography Division. We also checked uterine artery blood flow parameters. Results: There is a correlation between the birth weight and ultrasound-ascertained parameters, including those characterising uterine artery blood flow and foetal biometry [abdominal circumference (AC), femoral length (FL), biparietal dimension (BPD)].The biparietal dimension (BPD), head circumference (HC) abdominal circumference (AC) and pre-existing diabetes are the ultrasound predictors of LGA. The presence of an early-diastolic uterine artery blood flow waveform notching, as well as the uterine artery pulsatility index (UAPI), femoral length (FL) and hypertension in pregnancy are the ultrasound predictors of SGA. In the subset of women with pre-gestational diabetes (PGDM), there is a negative correlation between the birth weight and the uterine artery pulsatility index and early-diastolic uterine artery blood flow waveform notching. In women with pre-gestational diabetes mellitus (PGDM), femoral length (FL) is a significant predictor of LGA and in case of SGA significant predictors are uterine artery pulsatility index, artery blood flow waveform notching and femoral length (FL). Conclusions: Midtrimester ultrasound parameters with confirmed usefulness in the prediction of birth weight in low-risk pregnancy and high-risk pregnancy complicated with pregestational diabetes mellitus include: uterine artery PI, early-diastolic uterine artery blood flow waveform notching and foetal biometry.

Abstract

Objectives: The aim of the study was to assess the utility of mid-trimester ultrasound parameters in predicting birth weight in low-risk pregnancy and high-risk pregnancy complicated with pregestational diabetes mellitus. Material and methods: A study group comprised 97 healthy women and 160 women with pregestational diabetes (PGDM, type 1), all in singleton pregnancy. Ultrasound examination was performed between weeks 11 and 14, and in weeks 20 and 30 of gestation, based on recommendations of the Polish Society of Gynecologists and Obstetricians, Ultrasonography Division. We also checked uterine artery blood flow parameters. Results: There is a correlation between the birth weight and ultrasound-ascertained parameters, including those characterising uterine artery blood flow and foetal biometry [abdominal circumference (AC), femoral length (FL), biparietal dimension (BPD)].The biparietal dimension (BPD), head circumference (HC) abdominal circumference (AC) and pre-existing diabetes are the ultrasound predictors of LGA. The presence of an early-diastolic uterine artery blood flow waveform notching, as well as the uterine artery pulsatility index (UAPI), femoral length (FL) and hypertension in pregnancy are the ultrasound predictors of SGA. In the subset of women with pre-gestational diabetes (PGDM), there is a negative correlation between the birth weight and the uterine artery pulsatility index and early-diastolic uterine artery blood flow waveform notching. In women with pre-gestational diabetes mellitus (PGDM), femoral length (FL) is a significant predictor of LGA and in case of SGA significant predictors are uterine artery pulsatility index, artery blood flow waveform notching and femoral length (FL). Conclusions: Midtrimester ultrasound parameters with confirmed usefulness in the prediction of birth weight in low-risk pregnancy and high-risk pregnancy complicated with pregestational diabetes mellitus include: uterine artery PI, early-diastolic uterine artery blood flow waveform notching and foetal biometry.

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Keywords

birth weight; blood flow waveform notching; uterine artery pulsatility index; LGA; SGA

About this article
Title

Mid-trimester ultrasound parameters for predicting birth weight in low risk pregnancies vs high-risk pregnancies complicated with pre-gestational diabetes mellitus

Journal

Ginekologia Polska

Issue

Vol 91, No 4 (2020)

Article type

Research paper

Pages

216-222

Published online

2020-04-29

Page views

1746

Article views/downloads

1096

DOI

10.5603/GP.2020.0043

Pubmed

32374022

Bibliographic record

Ginekol Pol 2020;91(4):216-222.

Keywords

birth weight
blood flow waveform notching
uterine artery pulsatility index
LGA
SGA

Authors

Anna Gasiorowska
Agnieszka Zawiejska
Piotr Dydowicz
Ewa Wender-Ozegowska
Grzegorz Poprawski
Kinga Tobola-Wrobel
Katarzyna Ziolkowska
Marek Pietryga

References (15)
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