In a retrospective cohort, blastocyst cleavage, compaction, and quality patterns were evaluated for associations with live birth rates.
This retrospective time-lapse cohort study evaluated 3,103 transferred autologous blastocysts to determine the relationship between early developmental patterns and subsequent pregnancy outcomes. The exposure included cleavage patterns (normal or abnormal), morula compaction degrees (full or partial), and blastocyst quality categories (top, good, or low). Primary outcomes focused on live birth, with secondary outcomes including pregnancy and clinical pregnancy rates.
Results indicated that 92.5% of blastocysts originated from normally dividing embryos, and 63.8% of these developed into fully compacted morulas. In unadjusted analyses, fully compacted morulas were associated with higher live birth rates compared to partially compacted ones, while embryos with abnormal cleavage showed lower rates than those with partial morulas from normal cleavage. The highest observed live birth rate was 38.9%, occurring in top-quality blastocysts that originated from normally cleaving, fully compacted morulas.
Multivariable modeling identified blastocyst morphology and blastocyst age as the strongest independent predictors of clinical outcome, with maternal age showing a consistent negative association. While abnormal cleavage remained associated with reduced pregnancy and clinical pregnancy rates in adjusted models, this association did not persist for live birth. Compaction pattern did not retain statistical significance after adjustment. Safety data, including adverse events or tolerability, were not reported.
The study concludes that blastocyst morphology and developmental day remain the primary determinants of live birth after single blastocyst transfer. However, because this is an observational study, causality cannot be inferred. The lack of reported safety data and the reliance on retrospective data limit the ability to generalize these findings to all clinical settings without further prospective validation.