关键词:

妊娠终止, 早发型子痫前期, 影响因素, 预测模型

Abstract:

Objective To analyze the influencing factors for pregnancy termination decisions in patients diagnosed with early-onset preeclampsia (EOPE). Methods A retrospective analysis was conducted using colored pens to collect clinical data of 103 patients with severe EOPE diagnosed at Women & Infants Hospital of Zhengzhou from March 2021 to March 2024. The patients were divided into a termination group (31 cases) and a pregnancy group (72 cases) based on whether they chose to terminate their pregnancy at the time of diagnosis. The termination group had an age of (30.42±3.06) years, while the pregnancy group had an age of (29.67±3.04) years. Statistical comparison was conducted using t test and χ² test, and univariate and multivariate logistic regression analyses were conducted to identify the relevant factors for selecting pregnancy termination in patients with severe EOPE upon diagnosis. Receiver Operating Characteristic curves (ROC) and calibration curves were plotted to evaluate the value of the model. Results Multiple logistic regression analysis showed that the presence of severe complications (OR=3.363), progressive thrombocytopenia (OR=6.535), high levels of D-dimer (OR=9.296), high levels of cystatin C (OR=13.205), and low cerebral placental ratio (OR=0.005) were the relevant factors for choosing to terminate pregnancy in patients with severe EOPE upon diagnosis (all P<0.05). The risk prediction model constructed based on the above factors showed that the area under the curve of the model was 0.873, and the model calibration was good. Conclusions The combination of severe complications, progressive thrombocytopenia, high levels of D-dimer, high levels of cystatin C, and low brain placental ratio are relevant factors for the selection of pregnancy termination in patients with severe EOPE diagnosis. The risk prediction model constructed has good predictive value.

Key words:

Early-onset preeclampsia, Pregnancy termination, Influencing factors, Predictive model