Wu Xiaozhi, Xu Zhaoyu
Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi) Zunyi 563000, Guizhou, China.
Am J Transl Res. 2025 Apr 15;17(4):3074-3084. doi: 10.62347/JHZE8553. eCollection 2025.
To evaluate the clinical significance of combined detection of placental growth factor (PLGF), uterine artery pulse index (UTPI), and mean arterial pressure (MAP) in predicting preeclampsia (PE).
A total of 332 pregnant women who underwent regular prenatal check-ups at The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi) from January 2022 to December 2023 were retrospectively included in this study. Medical histories and laboratory examination data were collected. The participants were divided into a PE group and a normal group based on the occurrence of PE. Clinical data, including MAP, UTPI, and PLGF were recorded between 11 and 13 weeks of pregnancy. A multivariate logistic regression analysis was performed with a significance level of P<0.05 to construct a predictive model for PE. The diagnostic efficacy of the combined MAP + UTPI + PLGF model for early pregnancy PE was assessed using ROC curves. In addition, 182 pregnant women who underwent regular prenatal check-ups in our hospital between February 1, 2023, and December 31, 2024, were selected for external verification.
Multivariate logistic regression analysis identified age, body mass index (BMI), pregnancy associated plasma protein-A (PAPP-A), MAP, UTPI, and PLGF as independent predictors of early pregnancy PE (all P<0.05). The AUC values for age, BMI, PAPP-A, MAP, UTPI, and PLGF were 0.660, 0.669, 0.749, 0.869, 0.781, and 0.943, respectively. The AUC of the combined MAP + UTPI + PLGF model was 0.990 (95% CI: 0.938-0.998), with specificity and sensitivity values of 83.98% and 98.80% respectively. Internal validation showed a mean absolute error (MAE) of 0.012, and the consistency index was 0.99 (95% CI: 0.983-0.997). The AUC for external validation of the prediction model was 0.975 (95% CI 0.955-0.995, P<0.001). Bootstrap analysis (1000 repetitions) using the Hosmer-Lemeshow test showed a good model fit (χ=4.039, P=0.854), with the slope of the calibration curve close to 1.
Age, BMI, PAPP-A, MAP, UTPI, and PLGF were all effective predictors for early PE. Furthermore, the combined detection of high-risk factors (MAP, UTPI, PLGF) has a high predictive value for PE early in pregnancy.
评估联合检测胎盘生长因子(PLGF)、子宫动脉搏动指数(UTPI)和平均动脉压(MAP)在预测子痫前期(PE)中的临床意义。
回顾性纳入2022年1月至2023年12月在遵义医科大学第三附属医院(遵义市第一人民医院)进行定期产前检查的332例孕妇。收集病史和实验室检查数据。根据是否发生PE将参与者分为PE组和正常组。在妊娠11至13周记录临床数据,包括MAP、UTPI和PLGF。进行多因素logistic回归分析,显著性水平为P<0.05,以构建PE的预测模型。使用ROC曲线评估联合MAP + UTPI + PLGF模型对早孕期PE的诊断效能。此外,选取2023年2月1日至2024年12月31日在我院进行定期产前检查的182例孕妇进行外部验证。
多因素logistic回归分析确定年龄、体重指数(BMI)、妊娠相关血浆蛋白A(PAPP-A)、MAP、UTPI和PLGF为早孕期PE的独立预测因素(均P<0.05)。年龄、BMI、PAPP-A、MAP、UTPI和PLGF的AUC值分别为0.660、0.669、0.749、0.869、0.781和0.943。联合MAP + UTPI + PLGF模型的AUC为0.990(95%CI:0.938 - 0.998),特异性和敏感性值分别为83.98%和98.80%。内部验证显示平均绝对误差(MAE)为0.012,一致性指数为0.99(95%CI:0.983 - 0.997)。预测模型外部验证的AUC为0.975(95%CI 0.955 - 0.995,P<0.001)。使用Hosmer-Lemeshow检验的Bootstrap分析(1000次重复)显示模型拟合良好(χ=4.039,P=0.854),校准曲线斜率接近1。
年龄、BMI、PAPP-A、MAP、UTPI和PLGF均为早发PE的有效预测因素。此外,联合检测高危因素(MAP、UTPI、PLGF)对早孕期PE具有较高的预测价值。