Relationship between Abnormal Cardiotocography and Fetal Outcome

Banu, Shaheen

doi:10.3126/njog.v10i2.14334

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…10 Banu S et al in their study on 100 pregnant women found that percentage of various mode of delivery among suspicious and pathological CTG group did not show significant difference with p value 0.663, which was similar to our study. 11 In our study, Apgar score ≤7 at 5 minutes was observed in 16.67% of suspicious group and in 75.76% of pathological tracing group, while in only 4.48% cases with reactive CTG group. This showed that pathological CTG is important in predicting low Apgar score (p<0.0001).…”

Section: Discussionsupporting

confidence: 49%

Correlation of Cardiotocography with neonatal outcome in term pregnancies at a tertiary care centre in Bihar, India: A prospective observational study

Ranjana

Goel²,

Rani³

2023

PJMS

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Early recognition of foetal distress by intrapartum cardiotocography (CTG) has a pivotal role in the improvement of perinatal outcome. So, the aim of this study was to correlate the findings of CTG with neonatal outcome.This Prospective Observational study was conducted on 300 pregnant women in labour having singleton term pregnancy with cephalic presentation. Intrapartum cardiotocography was done. CTG pattern was correlated with neonatal outcomes by analysing Apgar score, NICU admission and neonatal mortality rate. Statistical analysis was done by using chi square test and Fisher Exact test and p value < 0.05 was considered as statistically significant.Out of 300 patients, reactive CTG pattern was observed in 67% while suspicious and pathological pattern was observed in 22% and 11% of pregnancies respectively. The percentage of caesarean deliveries were significantly more among abnormal CTG group as compared to reactive group (p value < 0.0001). The sensitivity and specificity of CTG for predicting foetal distress and NICU admission was 80 % and 78.75% respectively. There was high NPV of 94.03%, and the diagnostic accuracy of test was 79%.Reactive CTG is more predictive of favourable neonatal outcomes while Pathological CTG tracing requires immediate intervention. Suspicious CTG requires close observation during intrapartum period after correcting underlying causes and taking conservative measures and Immediate delivery is not required unless it became pathological and hence caesarean section rate can be reduced in this group Overall, intrapartum CTG is an important screening tool for early identification of foetal distress.

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Section: Discussionsupporting

confidence: 49%

Correlation of Cardiotocography with neonatal outcome in term pregnancies at a tertiary care centre in Bihar, India: A prospective observational study

Ranjana

Goel²,

Rani³

2023

PJMS

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“…Abnormal CTG are usually related to fetal distress. There is an association between low Apgar score and pathological CTG [5] and almost fifth of pathological CTG may have low Apgar score 5 [3].…”

Section: Introductionmentioning

confidence: 99%

Predicting high risk birth from real large-scale cardiotocographic data using multi-input convolutional neural networks

Alkanan

Shibata

Miyata

et al. 2021

NOLTA

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Apgar score is a test applied 1 minute after birth to check the infant health and can be performed as much as needed. The goal of this paper is to apply a deep learning (DL) method called convolutional neural network (CNN) to predict infants with potentially low Apgar score. Our CNN is a multi-input model that accepts denoised cardiotocography (CTG) images and gestational age. In the first half of the paper, we use basic machine learning (ML) techniques to explore what features and target labels are most effective. In the latter half, we verify to what extent the prediction accuracies can be improved by using our CNN model. Using 5-folds cross validation (CV), the CNN model performance scored an Area Under Curve (AUC) of 0.958 when classifying infants with Apgar score 5 minutes < 7 and AUC of 0.955 if Apgar score 1 or 5 minutes < 6 without using feature extraction algorithms. We conclude that the built model can be utilized as a prognosis tool to predict fetuses with a low Apgar score. Still, we think that a one model isn't enough as obstetricians could benefit more from multiple models that help predict different risks to fetuses.

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Intrapartum Fetal Monitoring and Its Correlation with Umbilical Cord Blood pH and Early Neonatal Outcome: A Prospective Cohort Study

Kanagal¹,

Praveen²

2022

Journal of South Asian Federation of Obstetrics and Gynaecology

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Relationship between Abnormal Cardiotocography and Fetal Outcome

Cited by 3 publications

References 6 publications

Correlation of Cardiotocography with neonatal outcome in term pregnancies at a tertiary care centre in Bihar, India: A prospective observational study

Correlation of Cardiotocography with neonatal outcome in term pregnancies at a tertiary care centre in Bihar, India: A prospective observational study

Predicting high risk birth from real large-scale cardiotocographic data using multi-input convolutional neural networks

Intrapartum Fetal Monitoring and Its Correlation with Umbilical Cord Blood pH and Early Neonatal Outcome: A Prospective Cohort Study

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