Ultrasound in Obstetrics and Gynecology · 2017 · 30 citations · 26 references
MedicineMaternal HealthObstetricsHigh-risk PregnancyMaternal-fetal MedicineObstetric UltrasoundAntenatal Risk AssessmentEarly Pregnancy AssessmentGestational Age AssessmentPerinatal Risk FactorsPregnancyPrenatal Risk AssessmentArterial Blood Pressure MeasurementObstetric Risk AssessmentPerinatal Risk StratificationPreeclampsia Risk AssessmentPreeclampsia Risk PredictionPreeclampsia Risk ScreeningUterine Artery AssessmentUterine Artery Doppler Screening
OBJECTIVE: To investigate the potential value of repeat measurements of uterine artery pulsatility index (UtA-PI), mean arterial pressure (MAP) and serum placental growth factor (PlGF) at 12, 22 and 32 weeks' gestation in the prediction of pre-eclampsia (PE) developing after 32 weeks. METHODS: Data were derived from prospective screening for adverse obstetric outcomes in women attending their routine hospital visit at 11-13, 19-24 and/or 30-34 weeks' gestation in two maternity hospitals in England. UtA-PI, MAP and PlGF were measured. Bayes' theorem was used to combine the a-priori risk from maternal factors with UtA-PI, MAP and PlGF multiples of the median values. The performance of screening for PE developing after the 30-34-week visit by UtA-PI, MAP and PlGF measured at 11-13, 19-24 and 30-34 weeks and their combinations was examined. RESULTS: Screening at 30-34 weeks by UtA-PI, MAP and PlGF detected, at a 10% false-positive rate, 79%, 86% and 92% of preterm PE and 42%, 50% and 56% of term PE. The addition of biomarker values at 11-13 and/or 19-24 weeks was not associated with any improvement in the detection rate of preterm PE; in the case of term PE, there was a marginal (< 2%) improvement in detection for UtA-PI and MAP and a modest improvement of about 5% for PlGF. CONCLUSION: Measurements of UtA-PI, MAP and PlGF in the first and/or second trimester have a small or no effect on improving the prediction of PE provided by screening in the early third trimester. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Xavier Robin, Natacha Turck, Alexandre Hainard et al. · BMC Bioinformatics · 2011 · 14K citations · Full text
Mark Brown, Marshall D. Lindheimer, Michael de Swiet et al. · Hypertension in Pregnancy · 2001 · 1.4K citations · Full text
Medicine, Gynecology, Obstetrics +12