Prediction of hypertensive disorders in pregnancy based on placental growth factor

Xu, Qi; Sun, Ge; Zhang, Song; Li, Guoli; Yang, Lin; Meng, Yu; Chen, Aiqing; Yang, Yimin; Li, Xuwen; Hao, Dongmei; Liu, Xiaohong; Shao, Jing

doi:10.3233/thc-218017

THC

2021

DOI: 10.3233/thc-218017

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Prediction of hypertensive disorders in pregnancy based on placental growth factor

Qi Xu

Ge Sun

Song Zhang

et al.

Abstract: BACKGROUND: The prediction of hypertensive disorders in pregnancy (HDP) mainly involves various aspects such as maternal characteristics and biomarkers. OBJECTIVE: We aimed to study the effect of the HDP prediction model with or without placental growth factor (PlGF). METHODS: This study used maternal factors and PlGF, and standardized the data uniformly. At 12–20 weeks, the comprehensive comparison of model quality with or without PlGF was conducted by logistic regression. RESULTS: The area under curve and th… Show more

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2023

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Cited by 2 publications

References 19 publications

(22 reference statements)

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Developing a nomogram for estimating the risk of needing to perform a caesarean section after induction of labour in pregnancies using a COOK® Cervical Ripening Balloon

Gao,

Zhang,

Xin

2023

THC

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BACKGROUND: Using a COOK® Cervical Ripening Balloon (CCRB) for cervical maturity has become a common clinical practice for the induction of labour (IOL). OBJECTIVE: To develop and validate a predictive instrument that could estimate the risk of a caesarean after IOL in term pregnancies with CCRB treatment. METHODS: The medical records of 415 pregnant women requiring IOL from January 2018 to October 2022 were retrospectively reviewed and randomly selected for training (290) and validation (125) sets in a 7:3 ratio. A model for predicting the risk of a caesarean was virtualised by a nomogram using logistic regression analysis. RESULTS: After completing the multivariate analysis, parity (odds ratio [OR] = 0.226; p= 0.017), modified Bishop score at induction (OR =0.688; p= 0.005) and the artificial rupture of membranes (OR = 0.436; p= 0.010) were identified as the predictors for implementing a caesarean delivery after IOL. The decision curve analysis showed that the model achieved a net benefit across all threshold probabilities. CONCLUSION: We successfully constructed a nomogram for caesarean delivery after IOL in pregnancies with CCRB treatment using factors including parity, modified Bishop score at induction and the artificial rupture of membrane.

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Developing a nomogram for estimating the risk of needing to perform a caesarean section after induction of labour in pregnancies using a COOK® Cervical Ripening Balloon

Gao,

Zhang,

Xin

2023

THC

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show abstract

Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy

Zhang

Meng

Jiang

et al. 2023

MBE

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<abstract><p>Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aims to evaluate the application value of pulse waves in the diagnosis of hypertensive disorder in pregnancy.This research a retrospective study of pregnant women who attended prenatal care and labored at Beijing Haidian District Maternal and Child Health Hospital. We extracted maternal hemodynamic factors and measured the pulse wave of the pregnant women. We developed an HDP predictive model by using support vector machine algorithms at five-gestational-week stages.At five-gestational-week stages, the area under the receiver operating characteristic curve (AUC) of the predictive model with pulse wave parameters was higher than that of the predictive model with hemodynamic factors. The AUC values of the predictive model with pulse wave parameters were 0.77 (95% CI 0.64 to 0.9), 0.83 (95% CI 0.77 to 0.9), 0.85 (95% CI 0.81 to 0.9), 0.93 (95% CI 0.9 to 0.96) and 0.88 (95% CI 0.8 to 0.95) at five-gestational-week stages, respectively. Compared to the predictive models with hemodynamic factors, the predictive model with pulse wave parameters had better prediction effects on HDP.Pulse waves had good predictive effects for HDP and provided appropriate guidance and a basis for non-invasive detection of HDP.</p> </abstract>

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Prediction of hypertensive disorders in pregnancy based on placental growth factor

Cited by 2 publications

References 19 publications

Developing a nomogram for estimating the risk of needing to perform a caesarean section after induction of labour in pregnancies using a COOK® Cervical Ripening Balloon

Developing a nomogram for estimating the risk of needing to perform a caesarean section after induction of labour in pregnancies using a COOK® Cervical Ripening Balloon

Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy

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