Searchable abstracts of presentations at key conferences in endocrinology

ea0086p275 | Reproductive Endocrinology | SFEBES2022

Follicle Sizes That are Most Likely to Yield Oocytes During In Vitro Fertilisation (IVF) Treatment

Alhamwi Toulin , Abbara Ali , Hanassab Simon , Comninos Alexander , Kelsey Tom , Salim Rehan , Heinis Thomas , Dhillo Waljit

Background: Infertility affects 1 in 6 couples causing devastating psychological impact. In vitro fertilisation (IVF) treatment can aid couples to conceive, but personalisation of treatment is needed to optimise patient outcomes. Machine learning can aid in the analysis of large complex datasets such as those encountered during IVF treatment. One example is in determining the optimal follicle size on the day of trigger to maximise the number of oocytes collected. Both follicle...

ea0086p117 | Reproductive Endocrinology | SFEBES2022

Quantifying the Variability in the Outpatient Assessment of Reproductive Hormone levels

Adams Sophie , Voliotis Margaritis , Phylactou Maria , Izzi-Engbeaya Chioma , Mills Edouard , Thurston Layla , Hanassab Simon , Tsaneva-Atanasova Krasimira , Heinis Thomas , Comninos Alexander , Abbara Ali , Dhillo Waljit

Background: Due to practical limitations, the diagnosis of hypogonadism is predominantly based on a single measure of reproductive hormones, often with confirmation on a second occasion. Factors associated with reproductive hormone variation include: pulsatile secretion, diurnal rhythm, and food intake, which can affect the accuracy of diagnosis of reproductive disorders. There is limited data quantitatively estimating the variability of reproductive hormone levels over the da...