2019
DOI: 10.1016/j.preghy.2019.03.005
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Prediction models for preeclampsia: A systematic review

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Cited by 111 publications
(107 citation statements)
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“…In a recent systematic review of 68 models for predicting pre‐eclampsia or pre‐eclampsia‐related disorders from 70 studies with 425 125 participants, the most frequently used predictors were medical history, BMI, blood pressure, parity, uterine artery pulsatility index, and maternal age; however, the type of predictor (maternal characteristics, ultrasound markers, and/or biomarkers) was not clearly associated with model discrimination . In the present study, maternal age was found to be a predictor of HDP in the first pregnancy; however, BMI and parity were not predictors.…”
Section: Discussioncontrasting
confidence: 71%
“…In a recent systematic review of 68 models for predicting pre‐eclampsia or pre‐eclampsia‐related disorders from 70 studies with 425 125 participants, the most frequently used predictors were medical history, BMI, blood pressure, parity, uterine artery pulsatility index, and maternal age; however, the type of predictor (maternal characteristics, ultrasound markers, and/or biomarkers) was not clearly associated with model discrimination . In the present study, maternal age was found to be a predictor of HDP in the first pregnancy; however, BMI and parity were not predictors.…”
Section: Discussioncontrasting
confidence: 71%
“…According to a meta-analysis on the sFlt-1/PlGF ratio, which was recently considered one of the most promising serum markers in preeclampsia prediction, the authors found an overall sensitivity of 80%, a speci city of 92%, a positive likelihood ratio of 10.5 and a negative likelihood ratio of 0.22 after pooling 15 studies involving 534 cases and 19587 controls (20). A 4-week observation window along with the cutoff value of 38 was applied in the paper by Zeisler et al, which showed that the sFlt-1/PlGF ratio could accurately exclude preeclampsia occurrence in suspicious patients, with an AUC of 0.90 in the ROC analysis compared to an AUC of 0.67 in our study with follow-up until delivery (7); however, for the remaining markers included in present study, the observation window was yet to be well-de ned; delivery remained the mainstream endpoint in most of the preeclampsia prediction studies (5,21). The average interval between blood sampling and preeclampsia diagnosis was 7 weeks with our prospective cohort, which provided important clinical evidence for future validation studies.…”
Section: Discussioncontrasting
confidence: 53%
“…The total coe cients of variation (CVs) for PAPP-A2 and GlyFn were 4.1%-4.7% and 3.2-3.4%, respectively. The ELISA standard operation protocol was performed as previously described (5,18). The serum TM (HISCL ® TM Assay Kit, Japan, Sysmex) and tPAI-C (HISCL ® tPAI-C Assay Kit, Japan, Sysmex) levels were determined by the fully automated HISCL-5000 Chemiluminescence Analyzer (Japan, Sysmex Biotech) were also performed on the ARCHITECT ci16200 Analyzer (USA, Abbott).…”
Section: Serum Samples Reagents and Experimental Methodsmentioning
confidence: 99%
“…Risk stratification is essential in order to identify the subpopulation of pregnant women that would benefit from preventive measures early in the course of gestation, especially the administration of aspirin 9 . Recent research has proposed a variety of novel biomarkers as potential predictive tools, such as soluble fms‐like tyrosine kinase‐1 (sFlt‐1) and placental growth factor (PlGF) 10 ; nevertheless, the optimal screening model to be widely used in clinical practice remains a matter of debate 11 …”
Section: Introductionmentioning
confidence: 99%