Predicting first trimester pregnancy outcome: derivation of a multiple marker test

Area of Science:

• Reproductive endocrinology and early pregnancy diagnostics.

Background:

• Early pregnancy complications like ectopic pregnancy (EP) and spontaneous abortion (SAB) present diagnostic challenges.
• Timely and accurate prediction of pregnancy location and viability is crucial for appropriate management.

Purpose of the Study:

• To evaluate the utility of multiple serum biomarkers for predicting first-trimester pregnancy outcomes.
• To develop predictive models for pregnancy location (EP vs. viable intrauterine pregnancy [IUP]) and viability (viable IUP vs. SAB).

Main Methods:

• A case-control study involving 230 women with pain and bleeding in early pregnancy (5-12 weeks' gestation) across three academic centers.
• Analysis of serum biomarkers including activin A, inhibin A, progesterone (P), A Disintegrin And Metalloprotease-12 (ADAM12), pregnancy-associated plasma protein A (PAPP-A), SP1, PLGF, VEGF, glycodelin (Glyc), and hCG.
• Development of classification trees to optimize sensitivity and specificity for predicting pregnancy location and viability.

Main Results:

• Biomarker panels achieved 73% specificity and 31% sensitivity for predicting viability.
• For pregnancy location, similar methods yielded 33% specificity and 21% sensitivity.
• Activin A, Glyc, and ADAM12 accurately classified pregnancy location in 29% of cases (100% accuracy for EP).
• Progesterone and PAPP-A classified viability in 61% of cases with 94% accuracy.

Conclusions:

• Multiple biomarker panels can effectively distinguish pregnancy location and viability in a subset of women at risk.
• The combination of markers enhances diagnostic accuracy for specific subgroups.
• Activin A, ADAM12, and Glyc show promise for predicting pregnancy location, while P and PAPP-A are strong indicators of viability.