Preeclampsia Prediction by Machine Learning in Twin Pregnancies

Despite aspirin treatment in 257 (43.1%) women, logistic regression showed no significant reduction in preeclampsia rates. These findings suggest that while multi-trimester biomarkers effectively predict preeclampsia in twins, the effect of aspirin prophylaxis in twin pregnancies has yet to be proven. An app to predict this score is available at: <ext-link ext-link-type="uri" xlink:href="http://twin-pe.math.biu.ac.il" xmlns:xlink="http://www.w3.org/1999/xlink">twin-pe.math.biu.ac.il</ext-link> or by contact with the corresponding author.

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Publication Details

Journal
Fetal Diagnosis and Therapy
Published
2026-01-02
DOI
https://doi.org/10.1159/000549223
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Preeclampsia Prediction by Machine Learning in Twin Pregnancies

Corinna Simonini, Eleonora Torcia, Federica Meli, Annegret Geipel et al.
Fetal Diagnosis and Therapy
Pregnancy and preeclampsia studies
article

Preeclampsia Prediction by Machine Learning in Twin Pregnancies

Corinna Simonini, Eleonora Torcia, Federica Meli, Annegret Geipel, Nadav Kugler, Abraham Tsur, Anna Gonce, Brigitte Strizek, Hamutal Meiri, Heidy Portillo Rodriguez, Adeline Walter, Richard Brown, Elisa Bevilacqua, Tanja Lennartz, Yoram Louzon, Tamar Michelson, Mar Bennasar, Karl Oliver Kagan, Adi Sharabi-Nov, Armin Bauer, Antoni Borrell, Ron Maymon, Kypros H. Nicolaides, Julia Ponce, Ran Svirsky
article en

Abstract

Despite aspirin treatment in 257 (43.1%) women, logistic regression showed no significant reduction in preeclampsia rates. These findings suggest that while multi-trimester biomarkers effectively predict preeclampsia in twins, the effect of aspirin prophylaxis in twin pregnancies has yet to be proven. An app to predict this score is available at: <ext-link ext-link-type="uri" xlink:href="http://twin-pe.math.biu.ac.il" xmlns:xlink="http://www.w3.org/1999/xlink">twin-pe.math.biu.ac.il</ext-link> or by contact with the corresponding author.

Fetal Diagnosis and Therapy
Ben-Gurion University of the Negev (IL), Bar-Ilan University (IL), Tel Aviv University (IL), University Hospital Bonn (DE), Sheba Medical Center (IL), Assuta Medical Center (IL), McGill University Health Centre (CA), Agostino Gemelli University Polyclinic (IT), Assaf Harofeh Medical Center (IL), Hospital Clínic de Barcelona (ES), University Children's Hospital Tübingen (DE), King's College Hospital (GB), Tel Hai Academic College (IL), Universitat de Barcelona (ES)
Good health and well-being
Openalex Percentile: Top 99%
Pregnancy and preeclampsia studies
DOISourceOpenAlex
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