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Continuous Risk Assessment of Late and Term Preeclampsia Throughout Pregnancy: A Retrospective Cohort Study
Valeria Rolle1, Petya Chaveeva2,3, Ander Diaz-Navarro4,5
1Faculty of Statistical Studies, Complutense University of Madrid, 28040 Madrid, Spain.
Insights
Longitudinal measurement of Mean Arterial Pressure (MAP) and Uterine Artery Pulsatility Index (UtA-PI) throughout pregnancy significantly improves prediction of preeclampsia (PE). This biomarker approach enhances diagnostic accuracy for both all and term PE cases.
Area of Science:
- Obstetrics and Gynecology
- Maternal-Fetal Medicine
- Biomarker Research
Background:
- Preeclampsia (PE) is a significant cause of maternal and fetal morbidity.
- Early and accurate prediction of PE is crucial for timely intervention.
- Current prediction methods often lack sufficient accuracy, especially for term PE.
Purpose of the Study:
- To evaluate the diagnostic accuracy of routinely measured biomarkers for predicting all and term preeclampsia.
- To assess the longitudinal changes in biomarker performance throughout pregnancy.
- To develop and validate a predictive model incorporating longitudinal data.
Main Methods:
- Longitudinal retrospective study involving 4056 pregnancies (training) and 944 (validation).
- Inclusion of singleton pregnancies with routine ultrasound and first-trimester screening.
- Development of a joint model for time-to-event outcome and longitudinal data analysis.
Main Results:
- The joint model achieved an Area Under the Receiving Operating Characteristic Curve (AUROC) of 0.84 for all PE and 0.80 for term PE.
- Detection rate for all PE was 56.5% at a 10% screening positive rate.
- AUROC increased from 0.50 (first trimester) to 0.84 (using all available data).
Conclusions:
- Routinely measuring Mean Arterial Pressure (MAP) and Uterine Artery Pulsatility Index (UtA-PI) throughout pregnancy improves predictive power for PE.
- Longitudinal biomarker monitoring offers enhanced diagnostic accuracy compared to first-trimester screening alone.
- This approach holds promise for improving preeclampsia prediction and management.
Abstract:
Background and Objectives: To evaluate the diagnostic accuracy of widely available biomarkers longitudinally measured throughout pregnancy to predict all and term (delivery at ≥37 weeks) preeclampsia (PE). Materials and Methods: This is a longitudinal retrospective study performed at Hospital Universitario de Torrejón (Madrid, Spain) and Shterev Hospital (Sofia, Bulgaria) between August 2017 and December 2022. All pregnant women with singleton pregnancies and non-malformed live fetuses attending their routine ultrasound examination and first-trimester screening for preterm PE at 11 + 0 to 13 + 6 weeks' gestation at the participating centers were invited to participate in a larger study for the prediction of pregnancy complications. The dataset was divided into two subsets to develop and validate a joint model of time-to-event outcome and longitudinal data, and to evaluate how the area under the receiving operating characteristic curve (AUROC) evolved with time. Results: 4056 pregnancies were included in the training set (59 all PE, 40 term PE) and 944 in the validation set (23 all PE, 20 term PE). For the joint model and all PE, the AUROC was 0.84 (95% CI 0.73 to 0.94) and the detection rate (DR) for a 10% screening positive rate (SPR) was 56.5 (95% CI 34.5 to 76.8). For term PE, AUROC was 0.80 (95% CI 0.69 to 0.91), and DR for a 10% SPR was 55.0 (95% CI 31.5 to 76.9). The AUROC using only information from the first trimester was 0.50 (95% CI 0.37 to 0.64) and it increased to 0.84 (0.73 to 0.94) when using all information available. Conclusions: Routinely measuring MAP and UtA-PI throughout pregnancy may improve the predictive prediction power for all and term-PE.
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