The potential of repeated mean arterial pressure measurements for predicting early- and late-onset pre-eclampsia in twin pregnancies: Prediction model study

被引:1
作者
He, Yunjiang [1 ,2 ]
Xie, Jinliang [3 ]
Guo, Yuna [4 ]
Ma, Jue [4 ]
Wang, Xiaojin [2 ]
Lv, Yao [4 ]
Wu, Siqi [1 ,2 ]
Wei, Siying [1 ,2 ]
Xie, Xianjing [4 ]
Wang, Bingshun [2 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Sch Publ Hlth, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Clin Res Inst, Sch Med, Dept Biostat, South Chongqing Rd 227, Shanghai 200025, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Clin Res Inst, Sch Med,Sch Publ Hlth,Dept Biostat, Shanghai, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Med, Int Peace Matern & Child Hlth Hosp, China Welf Inst, Shanghai, Peoples R China
关键词
mean arterial pressure; multiple pregnancy; prediction; pre-eclampsia; repeat measurements; screening; twins; RISK-FACTORS; MARKERS; 1ST;
D O I
10.1002/ijgo.15825
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective To investigate the contribution of longitudinal mean arterial pressure (MAP) measurement during the first, second, and third trimesters of twin pregnancies to the prediction of pre-eclampsia. Methods A retrospective cohort study was conducted on women with twin pregnancies. Historical data between 2019 and 2021 were analyzed, including maternal characteristics and mean artery pressure measurements were obtained at 11-13, 22-24, and 28-33 weeks of gestation. The outcome measures included pre-eclampsia with delivery <34 and >= 34 weeks of gestation. Models were developed using logistic regression, and predictive performance was evaluated using the area under the curve, detection rate at a given false-positive rate of 10%, and calibration plots. Internal validation was conducted via bootstrapping. Results A total of 943 twin pregnancies, including 36 (3.82%) women who experienced early-onset pre-eclampsia and 93 (9.86%) who developed late-onset pre-eclampsia, were included in this study. To forecast pre-eclampsia during the third trimester, the most accurate prediction for early-onset pre-eclampsia resulted from a combination of maternal factors and MAP measured during this trimester. The optimal predictive model for late-onset pre-eclampsia includes maternal factors and MAP data collected during the second and third trimesters. The areas under the curve were 0.937 (95% confidence interval [CI] 0.894-0.981) and 0.887 (95% CI 0.852-0.921), respectively. The corresponding detection rates were 83.33% (95% CI 66.53%-93.04%) for early-onset pre-eclampsia and 68.82% (95% CI 58.26%-77.80%) for late-onset pre-eclampsia. Conclusion Repeated measurements of MAP during pregnancy significantly improved the accuracy of late-onset pre-eclampsia prediction in twin pregnancies. The integration of longitudinal data into pre-eclampsia screening may be an effective and valuable strategy.
引用
收藏
页码:196 / 204
页数:9
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