Middle Cerebral Artery-to-Uterine Artery Pulsatility Index Ratio and Cerebroplacental Ratio Independently Predict Adverse Perinatal Outcomes in Pregnancies at Term

Abstract

This study aimed to investigate potential predictors, including the cerebroplacental ratio and the middle cerebral artery (MCA)-uterine artery pulsatility index (PI) ratio, for adverse perinatal outcomes in pregnancies at term. This was an observational, prospective study of recruited pregnancies at term. The data were extracted from the medical records in hospital. An adverse perinatal outcome was set as the primary observational endpoint. The receiver operating characteristic curve was plotted to investigate the predictive and cutoff values of risk factors for adverse perinatal outcomes. Univariate and multivariate logistic regression analyses evaluated independent risk factors (maternal, neonatal, prenatal ultrasound and Doppler variables) for adverse perinatal outcomes. There were 392 pregnancies at term included in the study, with 19.4% experiencing adverse perinatal outcomes. The MCA-uterine artery PI ratio was a good predictor of adverse perinatal outcomes by receiver operating characteristic curve analysis (area under the curve = 0.886, p < 0.001), and the cerebroplacental ratio (odds ratio, 0.42; 95% confidence interval, 0.20-0.93; p = 0.032) and MCA-uterine artery PI ratio (odds ratio, 0.25; 95% confidence interval, 0.16-0.42; p = 0.032) were two independent risk factors for adverse perinatal outcomes by univariate and multivariate logistic regression analyses. Notably, both MCA-uterine artery PI ratio and cerebroplacental ratio are significant predictors of adverse perinatal outcome in pregnancies at term.

Keywords: Adverse perinatal outcome; Cerebroplacental ratio; Doppler ultrasound; MCA/uterine artery PI ratio; Term pregnancies.