The value of fetal Doppler indices as predictors of perinatal outcome in women with preeclampsia with severe features

El-Demiry, Nihal M.; Maged, Ahmed M.; Gaafar, Hassan Mostafa; Elanwary, Sherif; Shaltout, A.; Ibrahim, Safaa A.; H, el-Didy; Elsherbini, Moutaz

doi:10.1080/10641955.2020.1732406

Cited by 11 publications

(10 citation statements)

References 16 publications

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“…Finally, logistic multifactor regression analysis showed that UA-S/D, UA-RI, UA-S/D, UA-PI, DV-PVIV, and MCA-S/D were all independent risk factors for the occurrence of presevere epilepsy. This was similar to the study results of previous studies [23,24]. These results suggested that ultrasonographic hemodynamic parameters were of great value in predicting the adverse outcomes of perinatal children with severe preeclampsia.…”

Section: Discussionsupporting

confidence: 91%

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: Discussionsupporting

confidence: 91%

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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“…Decreased placental blood flow can cause fetal acidosis, which can lead to chronic fetal hypoxemia 19 . These changes may also occur in preeclampsia, where fetoplacental blood flow is severely impaired, and transplacental gas exchange is weakened 20–22 . Many studies have shown that the prevalence of fetal acidosis is higher in pregnant women complicated with preeclampsia.…”

Section: Discussionmentioning

confidence: 99%

Cord blood gas results of pregnancies complicated by preeclampsia and the relationship of these results with the amount of proteinuria

Demir

Şal

Özalp

et al. 2021

J of Obstet and Gynaecol

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Aim To evaluate whether there is a statistically significant difference between the cord blood gas parameters of pregnancies complicated with preeclampsia and uncomplicated pregnancies and to show whether the amount of proteinuria affects fetal cord blood gas parameters in pregnancies complicated with preeclampsia. Methods The study was designed retrospectively. Between 2016 and 2019, the neonatal results and cord blood gas results of 109 pregnant women who were diagnosed with preeclampsia and 75 nonpreeclamptic randomly selected pregnant women were compared. The preeclampsia group was divided into groups according to amount of proteinuria. SPSS 21.0 statistics program was used, and comparative analysis was carried out. Results The data of the 109 preeclampsia cases and 75 control groups included in the study were compared, and there was no statistical difference between the fetal cord blood gas parameters between the groups (p > 0.05). The median first and fifth minute Apgar scores were found significantly lower in the preeclampsia group compared to the control group (6, 8 and 8, 9, respectively; p < 0.001). Also, the amount of proteinuria does not alter cord blood gas parameters (p > 0.05). Conclusion Preeclampsia poses a risk for the neonatal period as it reduces the neonatal Apgar scores due to the chronic hypoxic process it creates. However, it was observed that the amount of proteinuria, which is one of the diagnostic criteria, did not affect neonatal results on Apgar scores or fetal cord blood gas parameters.

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“…SD: Standard deviation t: Independent t test NS: Non-significant (P > 0.05) *: Significant (P < 0.05), **:Highly significant (P < 0.001) There was a statistical significant decrease in CPR among cases who had low APGAR score, stillbirth & NICU compared to cases hadn't in group with IUGR as shown in table(3). *: Significant (P < 0.05) Table(4) showed that there was a statistical significant decrease in CPR among cases had low APGAR score, stillbirth & NICU compared to cases hadn't in group with IUGR.…”

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confidence: 87%

“…If this theory is correct, we can expect that women with severe PE to have the highest IUGR risk. Also, according to the same theory, we expected that women with mild PE would be less likely to have IUGR fetuses (4) .…”

Section: Introductionmentioning

confidence: 96%

Role of Cerebro-Placental Ratio in Prediction of Perinatal Outcome in Preeclamptic Patients with Intrauterine Growth Restriction

Alrandi¹,

Hamed²,

Mohamed³

et al. 2021

The Egyptian Journal of Hospital Medicine

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Background: The assessment of fetal hemodynamic status via Doppler flow is increasingly regarded as likely to aid in the detection of pregnancies at risk of developing adverse fetal outcomes. Doppler flow provides useful information beyond the ultrasound-based assessment of fetal growth alone.Objective: This study aimed to evaluate the role of cerebro-placental ratio (CPR) in prediction of perinatal outcome in preeclamptic patients with intrauterine growth restriction (IUGR). Patients and methods: This case-control study was conducted at Obstetrics and Gynecology Department, Zagazig University, on 50 pregnant women divided in to two groups: Group I (study group) that included 25 high risk pregnant women with IUGR. Group II (control group) included 25 high risk pregnant women without IUGR. The study was conducted during the period from December 2020 till July 2021. Results: The current study showed that CPR had 90.9% sensitivity, 78.6% specificity and 84 % diagnostic accuracy to predict newborns with low Apgar score, with statistically significant positive correlation. CPR also had 100% sensitivity, 100% specificity and 100 % diagnostic accuracy to predict stillbirth, with highly statistically significant positive correlation. The CPR had 100% sensitivity, 83.3% specificity and 92 % diagnostic accuracy to predict newborns with NICU admission, with statistically significant positive correlation. Other complications as meconium aspiration and neonatal death had no statistically significant to be predicted by low CPR. Conclusion:This study concluded that the Cerebro-Placental Ratio had high predictive value of perinatal out come in preeclamptic patients.

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The value of fetal Doppler indices as predictors of perinatal outcome in women with preeclampsia with severe features

Cited by 11 publications

References 16 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

Cord blood gas results of pregnancies complicated by preeclampsia and the relationship of these results with the amount of proteinuria

Role of Cerebro-Placental Ratio in Prediction of Perinatal Outcome in Preeclamptic Patients with Intrauterine Growth Restriction

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