Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women

BackgroundThis study aimed to evaluate the predictive power of a model combining maternal risk factors and the Quadruple screen test for late-onset preeclampsia (PE).MethodsAll pregnant women that received the Quadruple test for Down syndrome at 15(+ 0)-20(+ 6) weeks' gestation were recruited. Maternal serum alpha-fetoprotein, beta-human chorionic gonadotropin, unconjugated estriol, and inhibin A were measured as multiples of the median. A logistic regression model was used to identify predictors associated with late-onset PE with severe features. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the model's predictive ability.ResultsFifty-five of the 2,000 pregnant women had PE, and 31 of 55 women had late-onset PE. Multivariate analysis identified maternal age >= 35 years, inhibin A, history of previous PE, history of infertile, cardiac disease, chronic hypertension, and thyroid disease as significant risk factors. The area under the curve of the receiver operating characteristic curve was 0.78. The likelihood ratio to predict late-onset PE was 49.4 (total score > 60).ConclusionsOur model combining serum inhibin A with maternal risk factors was useful in predicting late-onset PE. Close monitoring of these patients is recommended.

Automated summary

This study aimed to evaluate the predictive power of a model combining maternal risk factors and the Quadruple screen test for late-onset preeclampsia (PE). The model identified significant risk factors such as maternal age, inhibin A, history of previous PE, and other health conditions. The model showed a good predictive ability with an area under the curve of 0.78. Close monitoring of patients with these risk factors is recommended.