Kurt T Barnhart, Kassie J Bollig, Suneeta Senapati, Peter Takacs, Jared C Robins, Daniel J Haisenleder, Lynn A Beer, Ricardo F Savaris, Nathanael C Koelper, David W Speicher, Jesse Chittams, Jingxuan Bao, Zixuan Wen, Yanbo Feng, Mansu Kim, Sunni Mumford, Li Shen, Phyllis Gimotty
OBJECTIVE: The use of multiplexed biomarkers may improve the diagnosis of normal and abnormal early pregnancies. In this study we assessed 24 markers with multiple machine learning-based methodologies to evaluate combinations of top candidates to develop a multiplexed prediction model for identification of 1) viability and 2) location of an early pregnancy. DESIGN: A nested case-control design evaluating the predictive ability and discrimination of biomarkers in patients at risk of early pregnancy failure in the first trimester to classify viability and location SUBJECTS: 218 individuals with a symptomatic (pain and/or bleeding) early pregnancy: 75 with an ongoing intrauterine gestation, 68 ectopic pregnancies, and 75 miscarriages...
April 25, 2024: Fertility and Sterility