Endometrial receptivity characteristics in patients with repeated implantation failure: a study using LASSO regression and Bayesian generalized linear model analysis - Takeaways - MDSpire

Endometrial receptivity characteristics in patients with repeated implantation failure: a study using LASSO regression and Bayesian generalized linear model analysis

  • By

  • Panpan Zhao

  • Yuexin Yu

  • June 8, 2026

  • 0 min

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  • 1

    The study analyzed endometrial receptivity in 506 women experiencing repeated implantation failure using LASSO regression and Bayesian models.

  • 2

    Key predictive variables identified include endometrial blood flow branches, arterial resistance index, and peristaltic frequency.

  • 3

    Increased endometrial blood flow branch count significantly reduced the risk of repeated implantation failure.

  • 4

    Elevated endometrial arterial resistance index and pulsatility index were associated with increased risk of repeated implantation failure.

  • 5

    The predictive model demonstrated excellent discriminatory ability with an AUC of 0.911 and calibration performance with a C-statistic of 0.94.

Original Source(s)

Endometrial receptivity characteristics in patients with repeated implantation failure: a study using LASSO regression and Bayesian generalized linear model analysis

  • by Panpan Zhao, Yuexin Yu

  • June 8, 2026

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