BACKGROUND: Admission cardiotocography (CTG), a noninvasive procedure, is used to indicate the state of oxygenation of the fetus on admission into the labor ward.
OBJECTIVE: This study assessed the association of admission CTG findings with neonatal outcome at a tertiary health facility.
METHODS: A prospective, observational study of 206 pregnant women who were admitted into the labor ward with singleton live pregnancies. Information on the demographic characteristics, obstetrics and medical history, admission CTG tracing, and neonatal outcome was obtained using a structured data collection form. Data were analyzed using the SPSS software version 20.0 with the level of significance set at P < 0.05.
RESULTS: The admission CTG findings were normal in 73.3%, suspicious in 13.6%, and pathological in 13.1% of the women. The occurrence of low birth weight, special care baby unit (SCBU) admission, asphyxiated neonates, neonatal death, and prolonged hospital admission was significantly more frequent among those with pathological admission CTG results compared with normal and suspicious results (P < 0.05). The incidence of vaginal delivery was more common when the CTG findings were normal, whereas all women with pathological CTG result had a cesarean delivery.
CONCLUSIONS: Admission CTG was effective in identifying fetuses with a higher incidence of perinatal asphyxia. Neonatal outcome such as low birth weight, APGAR score, SCBU admission, and prolonged hospital admission was significantly associated with pathological CTG findings. In the absence of facilities for further investigations, prompt intervention for delivery should be ensured if admission CTG is pathological.
Résumé Contexte:La cardiotocographie d’admission (CTG), une procédure non invasive, est utilisée pour indiquer l’état d’oxygénation du fœtus lors de son admission en salle de travail.Objectif:Cette étude a évalué l’association entre les résultats du CTG à l’admission et l’issue néonatale dans un établissement de santé tertiaire.Matériels et méthodes:Une étude observationnelle prospective portant sur 206 femmes enceintes admises en salle de travail avec des grossesses vivantes uniques. Des informations sur les caractéristiques démographiques, les antécédents obstétricaux et médicaux, le traçage CTG à l’admission et les résultats néonatals ont été obtenues à l’aide d’un formulaire de collecte de données structuré. Les données ont été analysées à l’aide du logiciel SPSS version 20.0 avec le niveau de signification fixé à P <0,05.Résultats:Les résultats du CTG à l’admission étaient normaux chez 73,3 %, suspects chez 13,6 % et pathologiques chez 13,1 % des femmes. La survenue d’un faible poids à la naissance, d’une admission dans une unité de soins spéciaux pour bébés (SCBU), de nouveau-nés asphyxiés, de décès néonatals et d’une hospitalisation prolongée était significativement plus fréquente chez les personnes ayant des résultats CTG d’admission pathologiques par rapport aux résultats normaux et suspects (P < 0,05). L’incidence des accouchements par voie basse était plus fréquente lorsque les résultats du CTG étaient normaux, alors que toutes les femmes présentant un résultat pathologique du CTG avaient accouché par césarienne.Conclusion:L’admission CTG s’est avérée efficace pour identifier les fœtus présentant une incidence plus élevée d’asphyxie périnatale. Les résultats néonatals tels qu’un faible poids à la naissance, le score APGAR, l’admission au SCBU et l’hospitalisation prolongée étaient significativement associés aux résultats pathologiques du CTG. En l’absence de moyens permettant des investigations plus approfondies, une intervention rapide pour l’accouchement doit être assurée si l’admission du CTG est pathologique.

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OBJECTIVE: In many countries, the healthcare sector is dealing with important challenges such as increased demand for healthcare services, capacity problems in hospitals and rising healthcare costs. Therefore, one of the aims of the Dutch government is to move care from in-hospital to out-of-hospital care settings. An example of an innovation where care is moved from a more specialised setting to a less specialised setting is the performance of an antenatal cardiotocography (aCTG) in primary midwife-led care. The aim of this study was to assess the budget impact of implementing aCTG for healthy pregnant women in midwife-led care compared with usual obstetrician-led care in the Netherlands.
METHODS: A budget impact analysis was conducted to estimate the actual costs and reimbursement of aCTG performed in midwife-led care and obstetrician-led care (ie, base-case analysis) from the Dutch healthcare perspective. Epidemiological and healthcare utilisation data describing both care pathways were obtained from a prospective cohort, survey and national databases. Different implementation rates of aCTG in midwife-led care were explored. A probabilistic sensitivity analysis was conducted to estimate the uncertainty surrounding the budget impact estimates.
RESULTS: Shifting aCTG from obstetrician-led care to midwife-led-care would increase actual costs with €311 763 (97.5% CI €188 574 to €426 072) and €1 247 052 (97.5% CI €754 296 to €1 704 290) for implementation rates of 25% and 100%, respectively, while it would decrease reimbursement with -€7 538 335 (97.5% CI -€10 302 306 to -€4 559 661) and -€30 153 342 (97.5% CI -€41 209 225 to -€18 238 645) for implementation rates of 25% and 100%, respectively. The sensitivity analysis results were consistent with those of the main analysis.
CONCLUSIONS: From the Dutch healthcare perspective, we estimated that implementing aCTG in midwife-led care may increase the associated actual costs. At the same time, it might lower the healthcare reimbursement.

Standard clinical practice to assess fetal well-being during labour utilises monitoring of the fetal heart rate (FHR) using cardiotocography. However, visual evaluation of FHR signals can result in subjective interpretations leading to inter and intra-observer disagreement. Therefore, recent studies have proposed deep-learning-based methods to interpret FHR signals and detect fetal compromise. These methods have typically focused on evaluating fixed-length FHR segments at the conclusion of labour, leaving little time for clinicians to intervene. In this study, we propose a novel FHR evaluation method using an input length invariant deep learning model (FHR-LINet) to progressively evaluate FHR as labour progresses and achieve rapid detection of fetal compromise. Using our FHR-LINet model, we obtained approximately 25% reduction in the time taken to detect fetal compromise compared to the state-of-the-art multimodal convolutional neural network while achieving 27.5%, 45.0%, 56.5% and 65.0% mean true positive rate at 5%, 10%, 15% and 20% false positive rate respectively. A diagnostic system based on our approach could potentially enable earlier intervention for fetal compromise and improve clinical outcomes.

BACKGROUND: The iPREFACE score may aid in predicting fetal acidemia and neonatal asphyxia in emergency cesarean and vaginal deliveries, which may improve labor management precision in the future.
OBJECTIVE: This study aimed to assess the score use of the iPREFACE as an objective indicator of the need for rapid delivery in cases of repeated abnormal waveforms without concurrent indications for immediate medical intervention during labor.
METHODS: This retrospective cohort study was conducted among term (37+ 0 days to 41+6 days) singleton pregnant women who underwent emergency cesarean delivery owing to a nonreassuring fetal status. The integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-decision of emergency cesarean delivery score, calculated from a 30-minute cardiotocography waveform before the decision to perform emergency cesarean delivery, and the integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-removal of cardiotocography transducer score, calculated from a 30-minute cardiotocography waveform before cardiotocography transducer removal, were employed. The primary outcome was the assessment of the predictive ability of these scores for fetal acidemia, whereas the secondary outcomes were differences in umbilical artery blood gas findings and postnatal outcomes between the 2 groups, divided by the cutoff values of the integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-removal of cardiotocography score.
RESULTS: The integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-decision of emergency cesarean delivery and integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-removal of cardiotocography transducer scores demonstrated the capability to predict an umbilical artery blood pH of <7.2. The integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-decision of emergency cesarean delivery and -removal of cardiotocography transducer score, with cutoff values of 37 and 46 points, respectively, exhibited an area under the receiver operating characteristic curve of 0.82 and 0.87, respectively. The integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring-removal of cardiotocography transducer group with ≥46 points had higher incidence rates of an umbilical cord artery blood pH of <7.2, <7.1, and <7.0 and neonatal intensive care unit admissions for neonatal asphyxia.
CONCLUSIONS: The integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring, derived from cardiotocography during an emergency cesarean delivery, may enable clinicians to predict fetal acidemia in cases of nonreassuring fetal status. Improved prediction of fetal acidemia and facilitation of timely intervention hold promise for enhancing the outcomes of mothers and newborns during childbirth. Prospective studies are warranted to establish precise cutoff values and to validate the clinical application of these scores.

Monitoring fetal heart rate (FHR) through cardiotocography is crucial for the early diagnosis of fetal distress situations, necessitating prompt obstetrical intervention. However, FHR signals are often marred by various contaminants, making preprocessing techniques essential for accurate analysis. This scoping review, following PRISMA-ScR guidelines, describes the preprocessing methods in original research articles on human FHR (or beat-to-beat intervals) signal preprocessing from PubMed and Web of Science, published from their inception up to May 2021. From the 322 unique articles identified, 54 were included, from which prevalent preprocessing approaches were identified, primarily focusing on the detection and correction of poor signal quality events. Detection usually entailed analyzing deviations from neighboring samples, whereas correction often relied on interpolation techniques. It was also noted that there is a lack of consensus regarding the definition of missing samples, outliers, and artifacts. Trends indicate a surge in research interest in the decade 2011-2021. This review underscores the need for standardizing FHR signal preprocessing techniques to enhance diagnostic accuracy. Future work should focus on applying and evaluating these methods across FHR databases aiming to assess their effectiveness and propose improvements.

BACKGROUND: Decreased fetal movement is a common reason for consultation. It can reveal an intrauterine death or fetal distress.
OBJECTIVE: To evaluate the epidemiological profile of decreased fetal movement and to identify the predictive factors of poor pregnancy outcome.
METHODS: We performed a retrospective and descriptive study in the department of Maternity between January 2015 and December 2019 including patients hospitalized for decreased fetal movements.
RESULTS: The study included 150 patients with a mean age of 30.7±5.8 years. The patients were primiparous in 45.3% of cases. The mean term of pregnancy was 37.17±2.97 weeks. Cardiotocography was pathological in 22.7% of patients. The delivery rate during the hospitalization was 87.3% with a mean term of 37.9±2.5 SA. Poor pregnancy outcome was noted in 22.1% of cases. The identified predictive factors of poor pregnancy outcome were: gestational term less than 37 weeks (ORa=9.42), insufficient prenatal care (ORa=2.85), delayed maternal reporting of decreased fetal movement (ORa=1.29), complications during pregnancy (ORa=3.01), small symphysiofundal height for gestational age (ORa=6.17), pathological cardiotocography (ORa=1.66), fetal growth restriction (ORa=6.17), abnormal Umbilical Artery Doppler (ORa=6.51).
CONCLUSIONS: Decreased fetal movement can be a false alarm but it is important to identify predictive factors of poor pregnancy outcome to recognize patients at increased risk and optimize their management.

UNASSIGNED: Apgar score is conducted to a baby immediately after birth checking how the baby tolerated the birth process and outside the uterus.
UNASSIGNED: To describe the neonatal factors associated with immediate low Apgar score and analysing the associations among factors associated with low Apgar score in new-born babies.
UNASSIGNED: A quantitative, case-control, descriptive research design was used. Study population were all maternal records of deliveries conducted between 01 January 2019 and 31 December 2019. Simple random sampling was used to select the sample size for 194 cases and 194 controls using a 1:1 case-control ratio. Records indicating low Apgar scores were the cases while normal Apgar scores were the controls. A total of 388 maternal files were reviewed. Data were collected using a document review checklist and analysed using SPSS version 26.
UNASSIGNED: The study found that, neonatal factors associated with immediate low Apgar score are; gestational age, foetal presentation, cord prolapse, cord around the neck and the importance of cardiotocography interpretation as they had a P-value > 0.005.
UNASSIGNED: Gestational age, birth weight, foetal presentation, cord around the neck and lack of cardiotocography assessment were found to be associated with immediate low Apgar score.

BACKGROUND: While the effectiveness of cardiotocography in reducing neonatal morbidity is still debated, it remains the primary method for assessing fetal well-being during labor. Evaluating how accurately professionals interpret cardiotocography signals is essential for its effective use. The objective was to evaluate the accuracy of fetal hypoxia prediction by practitioners through the interpretation of cardiotocography signals and clinical variables during labor.
METHODS: We conducted a cross-sectional online survey, involving 120 obstetric healthcare providers from several countries. One hundred cases, including fifty cases of fetal hypoxia, were randomly assigned to participants who were invited to predict the fetal outcome (binary criterion of pH with a threshold of 7.15) based on the cardiotocography signals and clinical variables. After describing the participants, we calculated (with a 95% confidence interval) the success rate, sensitivity and specificity to predict the fetal outcome for the whole population and according to pH ranges, professional groups and number of years of experience. Interobserver agreement and reliability were evaluated using the proportion of agreement and Cohen\'s kappa respectively.
RESULTS: The overall ability to predict a pH level below 7.15 yielded a success rate of 0.58 (95% CI 0.56-0.60), a sensitivity of 0.58 (95% CI 0.56-0.60) and a specificity of 0.63 (95% CI 0.61-0.65). No significant difference in the success rates was observed with respect to profession and number of years of experience. The success rate was higher for the cases with a pH level below 7.05 (0.69) and above 7.20 (0.66) compared to those falling between 7.05 and 7.20 (0.48). The proportion of agreement between participants was good (0.82), with an overall kappa coefficient indicating substantial reliability (0.63).
CONCLUSIONS: The use of an online tool enabled us to collect a large amount of data to analyze how practitioners interpret cardiotocography data during labor. Despite a good level of agreement and reliability among practitioners, the overall accuracy is poor, particularly for cases with a neonatal pH between 7.05 and 7.20. Factors such as profession and experience level do not present notable impact on the accuracy of the annotations. The implementation and use of a computerized cardiotocography analysis software has the potential to enhance the accuracy to detect fetal hypoxia, especially for ambiguous cardiotocography tracings.

Clinicians routinely perform pelvic examinations to assess the progress of labor. Clinical guidelines to interpret these examinations, using time-based models of cervical dilation, are not always followed and have not contributed to reducing cesarean-section rates. We present a novel Gaussian process model of labor progress, suitable for real-time use, that predicts cervical dilation and fetal station based on clinically relevant predictors available from the pelvic exam and cardiotocography. We show that the model is more accurate than a statistical approach using a mixed-effects model. In addition, it provides confidence estimates on the prediction, calibrated to the specific delivery. Finally, we show that predicting both dilation and station with a single Gaussian process model is more accurate than two separate models with single predictions.