The SaTH risk-assessment tool for the prediction of emergency cesarean section in women having induction of labor for all indications: a large-cohort based study

Papoutsis, Dimitrios; Antonakou, Angeliki; Gornall, Adam; Tzavara, Chara; Mohajer, Michele

doi:10.1007/s00404-016-4209-4

Cited by 14 publications

(25 citation statements)

References 29 publications

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“…The inclusion criteria that were applied included primigravidae-only women with singleton cephalic presentation deliveries, who were under 40 years old, without the use of epidural analgesia during labour and who self-reported that they were of white-European ethnic background. We selected these inclusion criteria because there is evidence that parity, increased maternal age, use of an epidural and non-white-European ethnic background are all risk factors that have a confounding effect on the outcome of induced labour 3,[18][19][20] . Women who were induced for stillbirths, fetal congenital abnormalities and multiple pregnancies were excluded from the analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the large sample size included women who were primigravidae, under 40 years old, whiteEuropean ethnic background, and without epidural use during labour, in order to account for the significant confounding factors of parity, maternal age, ethnicity and labour analgesia on the success of induced labour 3,[18][19][20] .…”

Section: Limitations and Strengthsmentioning

confidence: 99%

“…There are reports that more and more women are overweight at the start of their pregnancy (BMI at booking ≥25 kg/m 2 ) with rates ranging between 15% to 30% 2,3 . In England about half of women who are of childbearing age are either overweight or obese, with more than 15% being obese at the start of their pregnancy 4,5 .…”

Section: Introductionmentioning

confidence: 99%

“…The aim of our study was to investigate the effect of the maternal BMI at booking with the mode of delivery and the neonatal outcome in women with induced labour. In order to account for the significant confounding factors of parity 3 , maternal age 18 , use of an epidural in labour 19 and ethnicity 20 on the success of induced labour, we restricted the inclusion criteria of our women to those who were primigravidae, under 40 years, of white-European ethnic background, and who did not use an epidural for analgesia during labour. We compare our findings against the evidence from existing literature, and highlight the significant role of midwives in the weight management of women before and during pregnancy.…”

Section: Introductionmentioning

confidence: 99%

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Maternal obesity and its association with the mode of delivery and the neonatal outcome in induced labour: Implications for midwifery practice

Antonakou¹,

Papoutsis²,

Tzavara³

2018

Eur J Midwifery

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INTRODUCTION Maternal obesity carries an increased risk of complications during pregnancy and childbirth. This study investigated whether the body mass index (BMI) of women with induced labour was associated with the mode of delivery and neonatal outcome. METHODS This was a retrospective study of primigravidae women under the age of 40 years who were induced at term for various indications. Data were collected from the electronic database of the Maternity Unit where these women gave birth. RESULTS We sampled 1274 women with a mean age of 26.3±5.9 years. The mean BMI at booking was 26.5 kg/m

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Section: Methodsmentioning

confidence: 99%

Section: Limitations and Strengthsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Maternal obesity and its association with the mode of delivery and the neonatal outcome in induced labour: Implications for midwifery practice

Antonakou¹,

Papoutsis²,

Tzavara³

2018

Eur J Midwifery

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“…Observations were documented in modified risk scoring system based on predesigned and pretested risk factors validated from previous studies. independent risk score was added to give a total score to classify pregnancy in to low risk (<3) intermediate risk (3)(4)(5)(6) and high risk (>6) group.…”

Section: Methodsmentioning

confidence: 99%

Antipartum surveillance by scoring system for pregnancy outcome of cesarean section in a tertiary referral centre of Madhya Pradesh, India

Jain¹,

Tripathi²

2018

Int J Reprod Contracept Obstet Gynecol

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PPH, PET/E etc. which require intensive obstetric care by specially trained providers and the other set of complications are multi organ involvement which require care of intensivist and super specialist such as nephrology, neurology, cardiology, pulmonologyetc. So, a high-risk pregnancy (HRP) is one in which the maternal environment or past reproductive performance presents a significant risk to fetal well-being, such as premature birth, small for date infant, full term with retarded growth ABSTRACT Background: It is imperative to find out high risk pregnancy for providing apt care to the needy mother and fetus, so application of risk scoring system helps in pin pointing the at-risk patient and also gives a notion about the prognosis of fetal and maternal wellbeing. This study aims to evaluate the clinical application of risk scoring system in cesarean delivery for identification and management of risk pregnancies appropriately to improve perinatal and maternal morbidity and mortality. Methods: LNMC Bhopal M.P. a tertiary referral centre with approximately 2100 delivery / year and cesarean rate of 33%, serving primarily rural population. This prospective analytical study conducted from July 2017 till June 2018. Focused on the combination of the principal predictors of obstetric outcome taken from the previously published scoring system were applied on 120 cases of unplanned at risk caesarean section and summed up to identify riskpregnancy and its predictive value for maternal and perinatal outcome. Results: It was determined by birth weight, APGAR score, birth asphyxia and NICU admission, Perinatal and maternal morbidity and mortality. Out of 120 caesarean cases 25% grouped in high risk, 58.3% low risk and 16.6%moderate group and their perinatal outcome was compared. 90% and 15% of the high risk and moderate group respectively had high risk neonates. In the high-risk group 2% had neonatal death, while no mortality in low risk cases. Maternal outcome was analysed by HDU admission 3% mothers were admitted in HDU with eclampsia and multi organ failure with one maternal mortality due to HELLP syndrome other recovered well, while one patient left against medical advice due to high expenses. Conclusions: Risk evaluation by simplified scoring system is an easy and economical way to identify high risk pregnancy to provide quick, comprehensive and quality health services to needy mother and neonate at right time, thus help in lowering the perinatal and maternal mortality and morbidity even at PHC level.

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Use of an artificial intelligence‐based rule extraction approach to predict an emergency cesarean section

Nagayasu

Fujita

Ohmichi

et al. 2021

Intl J Gynecology & Obste

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Objective One of the major problems with artificial intelligence (AI) is that it is generally known as a “black box”. Therefore, the present study aimed to construct an emergency cesarean section (CS) prediction system using an AI‐based rule extraction approach as a “white box” to detect the cause for the emergency CS. Methods Data were collected from all perinatal records of all delivery outcomes at Osaka Medical College between December 2014 and July 2019. We identified the delivery method for all deliveries after 36 gestational weeks as either (1) vaginal delivery or scheduled CS, or (2) emergency CS. From among these, we selected 52 risk factors to feed into an AI‐based rule extraction algorithm to extract rules to predict an emergency CS. Results We identified 1513 singleton deliveries (1285 [84.9%] vaginal deliveries, 228 emergency CS [15.1%]) and extracted 15 rules. We achieved an average accuracy of 81.90% using five‐fold cross‐validation and an area under the receiving operating characteristic curve of 71.46%. Conclusion To our knowledge, this is the first study to use interpretable AI‐based rule extraction technology to predict an emergency CS. This system appears to be useful for identifying hidden factors for emergency CS.

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The SaTH risk-assessment tool for the prediction of emergency cesarean section in women having induction of labor for all indications: a large-cohort based study

Abstract: We have constructed a risk-prediction tool for CS delivery in women with IOL. The risk-assessment tool for the prediction of emergency CS in induced labor has a high negative-predictive value and can provide reassurance to presumed low-risk women.

Cited by 14 publications

References 29 publications

Maternal obesity and its association with the mode of delivery and the neonatal outcome in induced labour: Implications for midwifery practice

Maternal obesity and its association with the mode of delivery and the neonatal outcome in induced labour: Implications for midwifery practice

Antipartum surveillance by scoring system for pregnancy outcome of cesarean section in a tertiary referral centre of Madhya Pradesh, India

Use of an artificial intelligence‐based rule extraction approach to predict an emergency cesarean section

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