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Evaluation of a simple risk score to predict preterm pre-eclampsia using maternal characteristics: a prospective cohort study.

Accepted version
Peer-reviewed

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Article

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Authors

Smith, Gcs 

Abstract

OBJECTIVES: (1) To derive a simple risk score for preterm pre-eclampsia based on the model used in the ASPRE trial, and (2) to compare it (i) with the original ASPRE algorithm, (ii) with the NICE Guideline score, and (iii) with and without biochemical and ultrasonic predictors. DESIGN: Prospective cohort study. SETTING: Cambridge, UK. POPULATION OR SAMPLE: 4184 nulliparous women from the Pregnancy Outcome Prediction study. METHODS: Maternal history model coefficients from the ASPRE algorithm were translated into a risk score, preserving the relative weight of each coefficient. MAIN OUTCOME MEASURES: Preterm delivery with a diagnosis of pre-eclampsia. RESULTS: The area under the ROC curve (AUC) for preterm pre-eclampsia was 0.846 (95% CI 0.787-0.906) for the risk score and 0.854 (95% CI 0.795-0.914) for the original ASPRE algorithm (P = 0.14). In all, 9.1% of women had a risk score of ≥30 and their risk ratio for preterm pre-eclampsia was 13.3 (95% CI 6.3-27.8), sensitivity 57.1% (37.5-74.8%), false-positive rate (1-specificity) 8.8% (8.0-9.7%), and LR+ 6.5 (4.6-9.1). The score had higher specificity than the NICE Guideline criteria. First trimester levels of PAPP-A and PlGF were not predictive when included in a model with the risk score. In contrast, mean arterial pressure at booking and 20-week uterine artery Doppler were independently associated with preterm pre-eclampsia and the latter modestly increased the AUC (by ~0.02). CONCLUSIONS: A simple risk score derived from the ASPRE screening study predictive model provided clinically useful prediction of the risk of preterm pre-eclampsia. TWEETABLE ABSTRACT: A simple risk score derived from the ASPRE screening study provided clinically useful prediction of the risk of preterm pre-eclampsia.

Description

Keywords

Prediction, pre-eclampsia, preterm, risk score, screening, Adult, Algorithms, Biomarkers, False Positive Reactions, Female, Gestational Age, Humans, Membrane Proteins, Pre-Eclampsia, Predictive Value of Tests, Pregnancy, Pregnancy Trimester, First, Pregnancy-Associated Plasma Protein-A, Premature Birth, Prospective Studies, ROC Curve, Regression Analysis, Risk Assessment, Risk Factors, Sensitivity and Specificity

Journal Title

BJOG

Conference Name

Journal ISSN

1470-0328
1471-0528

Volume Title

126

Publisher

Wiley
Sponsorship
Medical Research Council (G1100221)
Stillbirth and Neonatal Death Society (SANDS) (JE/DICT4/97771/14)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Medical Research Council (G1100221/1)
The work was supported by the National Institute for Health Research (NIHR) Cambridge Comprehensive Biomedical Research Centre (Women’s Health theme), the Medical Research Council (United Kingdom; G1100221), and the Stillbirth and neonatal death society (Sands).