Preeclampsia: Pathophysiology and management

Nirupama, R.; Divyashree, S.; Janhavi, P.; Muthukumar, S. P.; Ravindra, P. V.

doi:10.1016/j.jogoh.2020.101975

Cited by 84 publications

(96 citation statements)

References 79 publications

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“…Of which, severe preeclampsia is the main cause of fetal preterm birth and neonatal death. At the same time, severe preeclampsia may lead to abruption placentae, dysfunction of all organs, dropsy of serous cavity, cardiovascular, cerebrovascular accidents, and other serious complications [2,3]. According to gestational age, severe preeclampsia can be divided into the early stage and the late stage clinically.…”

Section: Introductionmentioning

confidence: 99%

Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

Wang

Liu

2022

Computational and Mathematical Methods in Medicine

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This study is aimed at discussing the value of ultrasonic image features in diagnosis of perinatal outcomes of severe preeclampsia on account of deep learning algorithm. 140 pregnant women singleton with severe preeclampsia were selected as the observation group. At the same time, 140 normal singleton pregnant women were selected as the control group. The hemodynamic indexes were detected by color Doppler ultrasound. The CNN algorithm was used to classify ultrasound images of two groups of pregnant women. The differential scanning calorimetry (DSC), mean pixel accuracy (MPA), and mean intersection of union (MIOU) values of CNN algorithm were 0.9410, 0.9228, and 0.8968, respectively. Accuracy, precision, recall, and F 1 -score were 93.44%, 95.13%, 95.09%, and 94.87%, respectively. The differences were statistically significant ( P < 0.05 ). Compared with the normal control group, the umbilical artery (UA), uterine artery-systolic/diastolic (UTA-S/D), uterine artery (UTA), and digital video (DV) of pregnant women in the observation group were remarkably increased; the minimum alveolar effective concentration (MCA) of the observation group was obviously lower than the MCA of the control group, and the differences between groups were statistically valid ( P < 0.05 ). Logistic regression analysis showed that UA-S/D, UA-resistance index (UA-RI), UTA-S/D, UTA-pulsatility index (UTA-PI), DV-peak velocity index for veins (DV-PVIV), and MCA-S/D were independent risk factors for the outcome of perinatal children with severe preeclampsia. In the perinatal management of severe epilepsy, the combination of the above blood flow indexes to select the appropriate delivery time had positive significance to improve the pregnancy outcome and reduce the perinatal mortality.

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Section: Introductionmentioning

confidence: 99%

Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

Wang

Liu

2022

Computational and Mathematical Methods in Medicine

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“…On the one hand, this pathophysiologic change triggers the production and massive release of various cytokines into maternal circulation and causes endothelial dysfunction and inflammatory upregulation, which finally results in elevated blood pressure. On the other hand, inadequate perfusion caused by disrupted spiral remodeling decreases the nourishment and oxygen supply to the developing fetus and blocks fetal growth 33,34 …”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, inadequate perfusion caused by disrupted spiral remodeling decreases the nourishment and oxygen supply to the developing fetus and blocks fetal growth. 33 , 34 …”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, inadequate perfusion caused by disrupted spiral remodeling decreases the nourishment and oxygen supply to the developing fetus and blocks fetal growth. 33,34 Aside from the weight percentile of individual fetuses, the intertwin growth difference is a routinely used to evaluate the development of twin fetuses. In the present study, the prevalence of BWD was 12.1%, which was lower than that reported previously in China (17.6%) by Qiao et al 22 This difference may be explained by the lower proportion of MCDA twins (15.3%) in the current study population compared with that (23.3%) in the previous study.…”

Section: Ta B L E 4 Binary Logistic Analyses Ofmentioning

confidence: 99%

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The association of hypertensive disorders of pregnancy with small for gestational age and intertwin birthweight discordance

Lin

Chen

et al. 2021

J of Clinical Hypertension

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Available evidence shows conflicting results regarding the association between hypertensive disorders of pregnancy (HDPs)/preeclampsia (PE) and small for gestational age (SGA) and birthweight discordance (BWD). This retrospective study of 2131 twin pregnancies aimed to evaluate the association of HDPs/PE with the presence of SGA and BWD. The eligible pregnancies were categorized into four study groups: concordant pairs without SGA fetuses, discordant pairs without SGA fetuses, concordant pairs with SGA fetuses, and discordant pairs with SGA fetuses. We applied binary logistic regression models to compare the incidence of HDPs/PE and multinomial logit regression models to evaluate the severity of PE between the study groups. The models were adjusted for potential confounders. Increases in HDPs were observed in concordant (aOR, 2.33; 95% CI: 1.46–3.73) and discordant (aOR, 3.50; 95% CI: 2.26–5.43) pregnancies with SGA fetuses but not in discordant pregnancies without SGA fetuses (aOR, 1.42; 95% CI: 0.81–2.49); increases in PE were also found in concordant (aOR, 1.87; 95% CI: 1.08–3.23) and discordant (aOR, 3.75; 95% CI: 2.36–5.96) pregnancies with SGA fetuses but not in discordant pregnancies without SGA fetuses (aOR, 1.34; 95% CI: 0.71–2.52). Discordant pregnancies with SGA fetuses were associated with severe PE (aRRR, 3.48; 95% CI: 1.79–6.77), whereas concordant pregnancies with SGA fetuses were associated with only mild PE (aRRR, 2.54; 95% CI: 1.33–4.88). Our results suggest that SGA is associated with the development of HDP/PE, while discordant growth is associated with the severity of PE. These associations need to be further investigated using estimated fetal weight (EFW).

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“…It commonly occurs after gestational week 20 and can be divided into early-onset (< 34 weeks) and late-onset (> 34 weeks) preeclampsia. It is believed that early-onset and late-onset preeclampsia have different aetiologies and pathogenesis, although both can cause high morbidity and mortality for pregnant women and fetuses [1,2]. Prompt recognition and diagnosis of preeclampsia and perinatal brain injury (PBI) are essential to save lives and improve outcomes [3].…”

Section: Introductionmentioning

confidence: 99%

Clinical significance of S100B protein in pregnant woman with early- onset severe preeclampsia

Sheng

Zhou

et al. 2021

Ginekol Pol

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Preeclampsia: Pathophysiology and management

Cited by 84 publications

References 79 publications

Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

The association of hypertensive disorders of pregnancy with small for gestational age and intertwin birthweight discordance

Clinical significance of S100B protein in pregnant woman with early- onset severe preeclampsia

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