Ultrasound Gestational Sac Triple Product for Abortion Outcome Prediction

159 patient records from a retrospective cohort study at Karamay Central Hospital in Xinjiang, China, from December 2024 to July 2025 form the basis for predicting early medical abortion failure. Rui-Hong Xue authored this research, which identifies the triple product of gestational sac diameters as the most predictive metric among five assessed. The dataset supports a model achieving an area under the curve of 0.78 for failure prediction.

Use Cases

• Predict EMA failure (surgical evacuation needed) using gestational sac triple product value from ultrasound measurements.
• Assess failure risk associated with maternal age >=35 years alongside sac size metrics.
• Compare predictive performance of five gestational sac metrics: ellipsoid volume, maximum diameter, mean diameter, sum of three diameters, and triple product.
• Validate the identified optimal cutoff (3648) for the triple product metric in a clinical risk stratification tool.
• Model the odds ratio of failure per 1,000 mm³ increase in gestational sac triple product.

Strengths

• Dataset includes 159 patient records with a clear outcome variable (EMA success/failure).
• Study validates the triple product model with an AUC of 0.78 and internal bootstrap validation (optimism-corrected AUC 0.76).
• Analysis compares five distinct ultrasound-derived gestational sac metrics for predictive power.

Limitations

• Small sample size of 159 records limits statistical power and generalizability.
• Single-center study from Karamay Central Hospital introduces geographic and potential demographic bias.
• Data is confined to a narrow 8-month time range (Dec 2024-Jul 2025).

Provenance

Source

Retrospective cohort study at Karamay Central Hospital, Xinjiang, China.

Collection Method

Clinical records review of patients undergoing mifepristone-misoprostol medical abortion.

Time Range

December 2024 to July 2025.

Freshness

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Geography

Karamay Central Hospital, Xinjiang, China.