The sono-predict study ultrasound prediction of delivery mode: can the first stage prediction model be further improved?

Background: This study aimed to develop a predictive model for intrapartum Caesarean delivery (ICD) in nulliparous women during the active first stage of labour using clinical and ultrasound parameters. Methods: SONO-PREDICT is a prospective longitudinal observational cohort study conducted at Queen Charlotte’s and Chelsea Hospital from 2021 to 2023, including nulliparous women with singleton, cephalic pregnancies at term. Trans-abdominal ultrasound assessed fetal head position, amniotic fluid volume, and fetal Doppler measurements. Transperineal ultrasound measured head-perineum distance (HPD), caput succedaneum, and moulding. Ultrasounds were conducted following digital vaginal examinations. Results: Out of 241 participants, 239 were evaluable, 202 (85%) underwent second assessments. ICD was necessary for 84 (35%). The interval from the onset of active labour to delivery was significantly shorter in participants who delivered vaginally compared to those who required ICD (median duration: 11.8 hours vs. 14.6 hours; p < 0.001). The primary predictors at the first labour assessment were HPD and cervical dilatation (p = 0.003 and p = 0.015, respectively). In the context of repeat assessments, HPD at both assessments and its changes, changes in caput succedaneum, and cervical dilatation at both evaluations and its changes were key variables (p = 0.023, p < 0.001, p = 0.012, p = 0.007, p = 0.015, p < 0.001, and p < 0.001, respectively). Multivariate logistic regression analysis of the single assessment model (n = 239) included HPD and cervical dilatation, yielding an AUC of 0.68. For the repeat assessments model (n = 202), incorporating initial HPD and caput succedaneum and cervical dilatation and its changes, achieved an AUC of 0.89. Conclusion: Single-assessment model demonstrates feasibility and provides reasonable accuracy in predicting intrapartum caesarean delivery. However, incorporating repeat clinical and ultrasound assessments significantly enhances predictive value. HPD, caput succedaneum, and cervical dilatation emerge as the most predictive parameters for ICD.

Institutions

Publication Details

Journal
Imperial College Research Computing Service Data Repository
Published
2024-08-21
DOI
https://doi.org/10.25560/122561
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The sono-predict study ultrasound prediction of delivery mode: can the first stage prediction model be further improved?

Imperial College Research Computing Service Data Repository
Microbial Natural Products and Biosynthesis
article

The sono-predict study ultrasound prediction of delivery mode: can the first stage prediction model be further improved?

article en

Abstract

Background: This study aimed to develop a predictive model for intrapartum Caesarean delivery (ICD) in nulliparous women during the active first stage of labour using clinical and ultrasound parameters. Methods: SONO-PREDICT is a prospective longitudinal observational cohort study conducted at Queen Charlotte’s and Chelsea Hospital from 2021 to 2023, including nulliparous women with singleton, cephalic pregnancies at term. Trans-abdominal ultrasound assessed fetal head position, amniotic fluid volume, and fetal Doppler measurements. Transperineal ultrasound measured head-perineum distance (HPD), caput succedaneum, and moulding. Ultrasounds were conducted following digital vaginal examinations. Results: Out of 241 participants, 239 were evaluable, 202 (85%) underwent second assessments. ICD was necessary for 84 (35%). The interval from the onset of active labour to delivery was significantly shorter in participants who delivered vaginally compared to those who required ICD (median duration: 11.8 hours vs. 14.6 hours; p < 0.001). The primary predictors at the first labour assessment were HPD and cervical dilatation (p = 0.003 and p = 0.015, respectively). In the context of repeat assessments, HPD at both assessments and its changes, changes in caput succedaneum, and cervical dilatation at both evaluations and its changes were key variables (p = 0.023, p < 0.001, p = 0.012, p = 0.007, p = 0.015, p < 0.001, and p < 0.001, respectively). Multivariate logistic regression analysis of the single assessment model (n = 239) included HPD and cervical dilatation, yielding an AUC of 0.68. For the repeat assessments model (n = 202), incorporating initial HPD and caput succedaneum and cervical dilatation and its changes, achieved an AUC of 0.89. Conclusion: Single-assessment model demonstrates feasibility and provides reasonable accuracy in predicting intrapartum caesarean delivery. However, incorporating repeat clinical and ultrasound assessments significantly enhances predictive value. HPD, caput succedaneum, and cervical dilatation emerge as the most predictive parameters for ICD.

Imperial College Research Computing Service Data Repository
Imperial College London (GB)
Decent work and economic growth
Openalex Percentile: Top 52%
Microbial Natural Products and Biosynthesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The sono-predict study ultrasound prediction of delivery mode: can the first stage prediction model be further improved? · Imperial College Research Computing Service Data Repository (2024) | TGRS Research Map | TGRS