Latest Publications
Predictors of success for human assisted reproduction
Amelia Longa, Daniel N. Franklin
As global fertility rates decline, improving the success rates of assisted reproductive technologies (ART) becomes ever more important. Many factors impact the success of ART and understanding these is key to enhancing treatment efficacy. We analysed a large UK national dataset from the Human Fertilisation and Embryology Authority to determine which factors predict success of ART. Binary logistic regression identified significant predictors of biochemical pregnancy. Patient age, diagnosed ovulatory disorder, specific ART treatment, PGT-A testing, donor egg, number of embryos transferred, patient ethnicity, and day of embryo transfer were significant predictors of success. These results add detail and evidence to previous studies and the insights can inform clinical practices to enhance ART success rates.