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Immunological and Coagulation Predictors of Subchorionic Hematoma in Recurrent Pregnancy Loss: A Predictive Modeling
Xue Wei1, Cai Liu1, Weijing Wang1
1Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China.
American Journal of Reproductive Immunology (New York, N.Y. : 1989)
|December 20, 2025
Summary
A new model predicts subchorionic hematoma (SCH) risk in women with recurrent pregnancy loss (RPL) using coagulation and immune markers. This tool aids in early intervention for better pregnancy outcomes.
Area of Science:
- Reproductive Medicine
- Obstetrics
- Immunology
Background:
- Subchorionic hematoma (SCH) is a frequent complication in early pregnancy, especially in women with recurrent pregnancy loss (RPL).
- SCH is linked to adverse pregnancy outcomes, yet predictive tools for RPL patients are scarce.
Purpose of the Study:
- To identify coagulation and immune-related predictors of SCH in women with RPL.
- To develop and validate a predictive model for SCH in this high-risk population.
Main Methods:
- Retrospective analysis of 1002 RPL patients.
- Collected clinical, coagulation, thromboelastography (TEG), and immune indicators.
- Utilized LASSO, logistic regression, and LightGBM for model development and validation.
Main Results:
- Eleven predictors identified: age, BMI, prior losses, TEG parameters, IgG, C3, anti-β2 glycoprotein 1 antibody, IgM, and cytokine ratios (IL-2/IL-6, IFN-γ/IL-6).
- The predictive model showed moderate discrimination with AUCs of 0.745 (training), 0.653 (internal), and 0.647 (external validation).
Conclusions:
- The developed model effectively identifies SCH risk in RPL patients.
- Informs individualized monitoring and early intervention strategies for improved clinical practice.
