Using Doppler ultrasound to assess fetal cardiac function and pregnancy outcomes in obstetric antiphospholipid syndrome pregnancies: a case-control study.

Purpose: This study aimed to evaluate fetal left ventricular function (LVF) in pregnant women with obstetric antiphospholipid syndrome (OAPS) by Doppler ultrasound and developed a clinical nomogram to predict adverse perinatal outcomes.
Methods: In this prospective observational study, 105 pregnant women were enrolled and divided into the OAPS cohort (n = 60) and the control cohort (n = 45). Fetal cardiac function parameters were collected and compared between two cohorts. Univariate and multivariate analysis was conducted to select the risk factors associated with adverse perinatal outcomes, and a clinical nomogram was developed based on these selected risk factors. The predictive performance of corresponding indicators for adverse perinatal outcomes was evaluated using receiver operating characteristic (ROC) curve analysis.
Results: The OAPS cohort revealed an increase in the isovolumic relaxation time (IVRT) and myocardial performance index (MPI), a decrease in the ejection time (ET), middle cerebral artery pulsatility index (MCA-PI) and cerebroplacental ratio (CPR) compared to the control cohort. Through univariate and multivariate analysis, gravidity, CPR, and MPI were the risk factors associated with adverse perinatal outcomes. A model predicting adverse perinatal outcomes in OAPS pregnant women was constructed based on these three factors and visualized as a nomogram. The nomogram could accurately predict adverse perinatal outcomes with an area under the curve of 0.923 (95% CI: 0.858-0.982). This performance was better than evaluating individual factors such as MPI (0.825, 95% CI: 0.739-0.911) and CPR (0.816, 95% CI: 0.705-0.927) for efficacy.
Conclusion: MPI can be used to assess fetal LVF and predict adverse perinatal outcomes. We developed a nomogram to predict adverse perinatal outcomes in OAPS women. This imaging-based evidence can provide timely clinical intervention, enabling personalized clinical decision-making.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)