Document Detail


Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome.
MedLine Citation:
PMID:  21063765     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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 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.
Authors:
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
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Publication Detail:
Type:  Journal Article     Date:  2010-11-10
Journal Detail:
Title:  Journal of assisted reproduction and genetics     Volume:  28     ISSN:  1573-7330     ISO Abbreviation:  J. Assist. Reprod. Genet.     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-03-18     Completed Date:  2011-07-08     Revised Date:  2013-07-03    
Medline Journal Info:
Nlm Unique ID:  9206495     Medline TA:  J Assist Reprod Genet     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  137-44     Citation Subset:  IM    
Affiliation:
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
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MeSH Terms
Descriptor/Qualifier:
Embryo Implantation / physiology*
Embryo, Mammalian / anatomy & histology*
Embryonic Development
Female
Fertilization in Vitro*
Humans
Metabolomics / statistics & numerical data*
Pregnancy
Prognosis
ROC Curve*
Single Embryo Transfer
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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