Which set of embryo variables is most predictive for live birth? A prospective study in 6252 single embryo transfers to construct an embryo score for the ranking and selection of embryos

STUDY QUESTION Which embryo score variables are most powerful for predicting live birth after single embryo transfer (SET) at the early cleavage stage? SUMMARY ANSWER This large prospective study of visual embryo scoring variables shows that blastomere number (BL), the proportion of mononucleated bl...

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Veröffentlicht in:Human reproduction (Oxford) 2015-01, Vol.30 (1), p.28-36
Hauptverfasser: Rhenman, A., Berglund, L., Brodin, T., Olovsson, M., Milton, K., Hadziosmanovic, N., Holte, J.
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Sprache:eng
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Zusammenfassung:STUDY QUESTION Which embryo score variables are most powerful for predicting live birth after single embryo transfer (SET) at the early cleavage stage? SUMMARY ANSWER This large prospective study of visual embryo scoring variables shows that blastomere number (BL), the proportion of mononucleated blastomeres (NU) and the degree of fragmentation (FR) have independent prognostic power to predict live birth. WHAT IS KNOWN ALREADY Other studies suggest prognostic power, at least univariately and for implantation potential, for all five variables. A previous study from the same centre on double embryo transfers with implantation as the end-point resulted in the integrated morphology cleavage (IMC) score, which incorporates BL, NU and EQ. STUDY DESIGN, SIZE AND DURATION A prospective cohort study of IVF/ICSI SET on Day 2 (n = 6252) during a 6-year period (2006–2012). The five variables (BL NU, FR, EQ and symmetry of cleavage (SY)) were scored in 3- to 5-step scales and subsequently related to clinical pregnancy and LBR. PARTICIPANTS/MATERIALS, SETTING, METHODS A total of 4304 women undergoing IVF/ICSI in a university-affiliated private fertility clinic were included. Generalized estimating equation models evaluated live birth (yes/no) as primary outcome using the embryo variables as predictors. Odds ratios with 95% confidence intervals and P-values were presented for each predictor. The C statistic (i.e. area under receiver operating characteristic curve) was calculated for each model. Model calibration was assessed with the Hosmer–Lemeshow test. A shrinkage method was applied to remove bias in c statistics due to over-fitting. MAIN RESULTS AND THE ROLE OF CHANCE LBR was 27.1% (1693/6252). BL, NU, FR and EQ were univariately highly significantly associated with LBR. In a multivariate model, BL, NU and FR were independently significant, with c statistic 0.579 (age-adjusted c statistic 0.637). EQ did not retain significance in the multivariate model. Prediction model calibration was good for both pregnancy and live birth. We present a ranking tree with combinations of values of the BL, NU and FR embryo variables for optimal selection of the embryo/s to transfer, providing a revised IMC score. The five embryo variables had similar effects over all age groups. LIMITATIONS, REASONS FOR CAUTION Limitations of the present study are those inherent for real-time visual scoring, including risks of inter-observer variation and the hazards of fixed time-point scoring proced
ISSN:0268-1161
1460-2350
1460-2350
DOI:10.1093/humrep/deu295