Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome.
OBJECTIVE
Assessment of embryo viability is a key component of in vitro fertilization (IVF) and currently relies largely on embryo morphology and cleavage rate. In this study, we used receiver operating characteristic (ROC) analysis to compare the Viability Score (generated by metabolomic profiling of spent embryo culture media using near infrared (NIR) spectroscopy) to morphologic grading for predicting pregnancy in women undergoing single embryo transfer (SET) on day 5.


METHODS
A total of 198 spent embryo culture media samples were collected in four IVF centers located in the USA, Europe and Australia. First, 137 samples (training set) were analyzed by NIR to develop an algorithm that generates a Viability Score predictive of pregnancy for each sample. Next, 61 samples (validation set) were analyzed by observers blinded to embryo morphology and IVF outcome, using the Day 5 algorithm generated with the training set. Pregnancy was defined as fetal cardiac activity (FCA) at 12 weeks of gestation.


RESULTS
The Area Under the Curve (AUC) was greater for the metabolomic Viability Score compared to Morphology [Training set: 0.75 versus 0.55, p = 0.0011; Validation set: 0.68 versus 0.50, P = 0.021], and for a Composite score (obtained using a model combining Viability Score with morphologic grading), compared to morphology alone [0.74 versus 0.50, p = 0.004].


CONCLUSIONS
Our findings suggest that Viability Score alone or in combination with morphologic grading has the potential to be a better classifier for pregnancy outcome than morphology alone in women undergoing SET on day 5.
Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar street, LSOG 304D, New Haven, CT 06520-8063, USA. emre.seli@yale.edu
Emre
E
Seli
Can
C
Bruce
Lucy
L
Botros
Mark
M
Henson
Pieter
P
Roos
Kevin
K
Judge
Thorir
T
Hardarson
Aishling
A
Ahlström
Paul
P
Harrison
Michael
M
Henman
Kathryn
K
Go
Nicole
N
Acevedo
Jeannette
J
Siques
Michael
M
Tucker
Denny
D
Sakkas
D010064:Embryo Implantation / Q000502:physiology*; D004622:Embryo, Mammalian / Q000033:anatomy & histology*; D047108:Embryonic Development; D005260:Female; D005307:Fertilization in Vitro; D006801:Humans; D055432:Metabolomics / Q000706:statistics & numerical data*; D011247:Pregnancy; D011379:Prognosis; D012372:ROC Curve; D056826:Single Embryo Transfer