Evidence map›Paper›PMID 42020345›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2026

Antenatal Prediction of Shoulder Dystocia and Birth Trauma Using Routine Maternal and Ultrasound Variables: Retrospective Cohort Study.

Anat Schwartz, Monica Minopoli, Chiara Di Ilio, Daniele Di Mascio, Amaranth Bhide, Basky Thilaganathan

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Article in BJOG : an international journal of obstetrics and gynaecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anat SchwartzFetal Medicine Unit, St. George's University Hospitals NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-0161-8932
Monica MinopoliFetal Medicine Unit, St. George's University Hospitals NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-8681-4501
Chiara Di IlioDepartment of Women's and Child Health Sciences and Public Health, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy.
Daniele Di MascioDepartment of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-6560-3393
Amaranth BhideFetal Medicine Unit, St. George's University Hospitals NHS Foundation Trust, London, UK.
Basky ThilaganathanFetal Medicine Unit, St. George's University Hospitals NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-5531-4301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop antenatal prediction models for shoulder dystocia and birth trauma using routinely collected maternal and sonographic variables.

designRetrospective cohort study.

settingSingle tertiary referral centre in the UK. POPULATION OR SAMPLE: All singleton term liveborn pregnancies delivered between January 2016 and November 2024 with a third-trimester ultrasound performed at or beyond 36 weeks' gestation.

methodsMultivariable logistic regression was used to develop antenatal prediction models for shoulder dystocia and birth trauma, incorporating maternal characteristics and fetal biometry including abdominal circumference (AC; centile or mm) and estimated fetal weight (EFW; grams or centile). Model performance was assessed using tests for multicollinearity, discrimination (area under the ROC curve, AUC) and calibration.

main outcome measuresShoulder dystocia and birth trauma, the latter defined as a composite of shoulder dystocia, postpartum haemorrhage requiring blood transfusion, caesarean delivery at full dilatation, or hypoxic-ischaemic encephalopathy (HIE ≥ 1).

resultsA total of 24 334 singleton term pregnancies were included; 432 (1.8%) were complicated by shoulder dystocia and 1210 (5.0%) by birth trauma. The model including maternal characteristics and AC centile demonstrated the best discrimination. For shoulder dystocia, the apparent AUC was 0.706 (95% CI 0.682-0.730); the optimism-corrected AUC after bootstrap validation was 0.699. For birth trauma, the apparent AUC was 0.669 (95% CI 0.654-0.685); the optimism-corrected AUC was 0.665. At a 10% false-positive rate, sensitivity was 31.5% for shoulder dystocia and 22.8% for birth trauma, compared with 20.4% and 14.0%, respectively, using EFW ≥ 90th centile.

conclusionsAntenatal models combining fetal AC centile with maternal risk factors outperform EFW-based thresholds currently used in clinical practice. Although discrimination was modest, the model may be useful for antenatal risk stratification and counselling, rather than as a stand-alone clinical test. Such models may help identify pregnancies at increased risk of delivery-related complications associated with fetal overgrowth and inform future studies evaluating targeted interventions.

Indexed as

Birth InjuriesDystociaShoulder DystociaUltrasonography, PrenatalAdultFemaleFetal WeightHumansInfant, NewbornPredictive Value of TestsPregnancyPregnancy Trimester, ThirdRetrospective StudiesUnited Kingdomabdominal circumferencebirth traumaestimated fetal weightprediction modelshoulder dystociathird‐trimester ultrasound

Identifiers

PMID42020345
PMCPMC13571882

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