caa a22 4500 44581800X CHVBK 20180317145234.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s10815-010-9501-9 doi (NATIONALLICENCE)springer-10.1007/s10815-010-9501-9 Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome [Elektronische Daten] [Emre Seli, Can Bruce, Lucy Botros, Mark Henson, Pieter Roos, Kevin Judge, Thorir Hardarson, Aishling Ahlström, Paul Harrison, Michael Henman, Kathryn Go, Nicole Acevedo, Jeannette Siques, Michael Tucker, Denny Sakkas] Purpose: 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 12weeks 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. Springer Science+Business Media, LLC, 2010 ROC analysis nationallicence Assisted reproductive technologies nationallicence ART nationallicence In vitro fertilization nationallicence IVF nationallicence Morphologic grade nationallicence Metabolomics nationallicence Viability Score nationallicence Seli Emre Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar street, LSOG 304D, 06520-8063, New Haven, CT, USA aut Bruce Can Department of Molecular Biochemistry and Biophysics, and W.M. Keck Foundation, Biotechnology Resource Laboratory, Yale University, New Haven, CT, USA aut Botros Lucy Molecular Biometrics,® Inc, New Haven, CT, USA aut Henson Mark Molecular Biometrics,® Inc, New Haven, CT, USA aut Roos Pieter Molecular Biometrics,® Inc, New Haven, CT, USA aut Judge Kevin Molecular Biometrics,® Inc, New Haven, CT, USA aut Hardarson Thorir FertilitetsCentrum, Gothenburg, Sweden aut Ahlström Aishling FertilitetsCentrum, Gothenburg, Sweden aut Harrison Paul Sydney IVF Clinic, Sydney, Australia aut Henman Michael Sydney IVF Clinic, Sydney, Australia aut Go Kathryn Reproductive Sciences Center, Boston, MA, USA aut Acevedo Nicole Reproductive Sciences Center, Boston, MA, USA aut Siques Jeannette Shady Grove Fertility Clinic, Rockville, MD, USA aut Tucker Michael Shady Grove Fertility Clinic, Rockville, MD, USA aut Sakkas Denny Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar street, LSOG 304D, 06520-8063, New Haven, CT, USA aut Journal of Assisted Reproduction and Genetics Springer US; http://www.springer-ny.com 28/2(2011-02-01), 137-144 1058-0468 28:2<137 2011 28 10815 https://doi.org/10.1007/s10815-010-9501-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10815-010-9501-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Seli Emre Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar street, LSOG 304D, 06520-8063, New Haven, CT, USA aut NATIONALLICENCE 700 1- Bruce Can Department of Molecular Biochemistry and Biophysics, and W.M. Keck Foundation, Biotechnology Resource Laboratory, Yale University, New Haven, CT, USA aut NATIONALLICENCE 700 1- Botros Lucy Molecular Biometrics,® Inc, New Haven, CT, USA aut NATIONALLICENCE 700 1- Henson Mark Molecular Biometrics,® Inc, New Haven, CT, USA aut NATIONALLICENCE 700 1- Roos Pieter Molecular Biometrics,® Inc, New Haven, CT, USA aut NATIONALLICENCE 700 1- Judge Kevin Molecular Biometrics,® Inc, New Haven, CT, USA aut NATIONALLICENCE 700 1- Hardarson Thorir FertilitetsCentrum, Gothenburg, Sweden aut NATIONALLICENCE 700 1- Ahlström Aishling FertilitetsCentrum, Gothenburg, Sweden aut NATIONALLICENCE 700 1- Harrison Paul Sydney IVF Clinic, Sydney, Australia aut NATIONALLICENCE 700 1- Henman Michael Sydney IVF Clinic, Sydney, Australia aut NATIONALLICENCE 700 1- Go Kathryn Reproductive Sciences Center, Boston, MA, USA aut NATIONALLICENCE 700 1- Acevedo Nicole Reproductive Sciences Center, Boston, MA, USA aut NATIONALLICENCE 700 1- Siques Jeannette Shady Grove Fertility Clinic, Rockville, MD, USA aut NATIONALLICENCE 700 1- Tucker Michael Shady Grove Fertility Clinic, Rockville, MD, USA aut NATIONALLICENCE 700 1- Sakkas Denny Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar street, LSOG 304D, 06520-8063, New Haven, CT, USA aut NATIONALLICENCE 773 0- Journal of Assisted Reproduction and Genetics Springer US; http://www.springer-ny.com 28/2(2011-02-01), 137-144 1058-0468 28:2<137 2011 28 10815 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer