Prenatal diagnosis · 2012
First-trimester uterine artery Doppler velocimetry in the prediction of birth weight in a low-risk population.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Sarmiento Andres, Casasbuenas Alexandra, Rodriguez Nadiezhda, Angarita Ana M, Sarmiento Piedad, Sepulveda Waldo
Аннотация
OBJECTIVE: To study the relationship between first-trimester uterine artery (UtA) Doppler velocimetry and birth weight in an unselected, low-risk obstetric population.
METHODS: This is a prospective study of 415 low-risk pregnant women who underwent a first-trimester ultrasound evaluation between 11 and 13 weeks of gestation. Blood flow velocimetry waveforms from both UtAs were obtained and the pulsatility index (PI) measured and recorded. Clinical records were reviewed for pregnancy outcomes. Birth weight was expressed as z-scores, and the Spearman correlation coefficient (ρ) was used to calculate the relationship between the mean, delta, and lowest UtA PI values and birth weight.
RESULTS: There was no correlation between the mean and delta UtA PI values and birth weight. However, a significant correlation between the lowest UtA PI value and birth weight (ρ = -0.121; p = 0.013) was noted.
CONCLUSIONS: Our study found a clinically significant correlation between the lowest UtA PI value and birth weight in an unselected, low-risk pregnant population. Because fetal growth is a multifactorial process in which placentation is only one of the factors involved, the use of a single parameter such as Doppler velocimetry remote from the delivery to predict birth weight in a low-risk population seems to be less useful than in the high-risk population.
METHODS: This is a prospective study of 415 low-risk pregnant women who underwent a first-trimester ultrasound evaluation between 11 and 13 weeks of gestation. Blood flow velocimetry waveforms from both UtAs were obtained and the pulsatility index (PI) measured and recorded. Clinical records were reviewed for pregnancy outcomes. Birth weight was expressed as z-scores, and the Spearman correlation coefficient (ρ) was used to calculate the relationship between the mean, delta, and lowest UtA PI values and birth weight.
RESULTS: There was no correlation between the mean and delta UtA PI values and birth weight. However, a significant correlation between the lowest UtA PI value and birth weight (ρ = -0.121; p = 0.013) was noted.
CONCLUSIONS: Our study found a clinically significant correlation between the lowest UtA PI value and birth weight in an unselected, low-risk pregnant population. Because fetal growth is a multifactorial process in which placentation is only one of the factors involved, the use of a single parameter such as Doppler velocimetry remote from the delivery to predict birth weight in a low-risk population seems to be less useful than in the high-risk population.