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First-Trimester Prognosis When an Early Gestational Sac is Seen on Ultrasound Imaging: Logistic Regression Prediction
Peter M Doubilet1, Catherine H Phillips1, Sara M Durfee1
1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Summary
Predicting early pregnancy outcomes is possible using patient age, mean sac diameter, hCG rise, and vaginal bleeding. These factors help determine the prognosis for very early intrauterine pregnancies.
Area of Science:
- Reproductive Medicine
- Early Pregnancy Diagnostics
- Clinical Prediction Modeling
Background:
- Very early intrauterine pregnancies, defined by a gestational sac without a visible yolk sac or embryo, present diagnostic challenges.
- Accurate prediction of first-trimester outcomes for these pregnancies is crucial for patient management and counseling.
Purpose of the Study:
- To identify clinical, biochemical, and sonographic factors influencing the outcome of very early intrauterine pregnancies.
- To develop a predictive mathematical model and a web-based calculator for assessing pregnancy prognosis.
Main Methods:
- A retrospective analysis of 590 very early pregnancies with known outcomes.
- Data collected included patient age, mean sac diameter (MSD), human chorionic gonadotropin (hCG) rise, vaginal bleeding, history of infertility, prior miscarriage, and assisted reproductive technology (ART) use.
- Stepwise logistic regression was employed to identify independent predictors of outcome.
Main Results:
- Patient age, MSD, hCG rise, and vaginal bleeding were independently correlated with first-trimester pregnancy outcome (P < .05).
- The logistic regression model demonstrated good predictive accuracy, with an area under the receiver operating characteristic curve of 0.823.
- A web-based calculator was developed using these four key variables to predict pregnancy outcomes.
Conclusions:
- The first-trimester prognosis of very early intrauterine pregnancies is multifactorial, influenced by patient age, MSD, hCG rise, and vaginal bleeding.
- These identified factors provide a robust basis for a predictive model to estimate pregnancy outcomes.
- The developed web-based calculator offers a practical tool for clinicians to assess prognosis in early pregnancy.

