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The morphokinetics algorithm based on data from day 5 blastocyst transfer (KIDScoreD5 version 3) is also useful for embryo selection in day 6 blastocyst transfer.
Shioya, Masashi; Kobayashi, Tatsuya; Sugiura, Tomoharu; Fujita, Maki; Takahashi, Keiichi.
Afiliação
  • Shioya M; Takahashi Women's Clinic Chiba Japan.
  • Kobayashi T; Department of Reproductive Medicine, Graduate School of Medicine Chiba University Chiba Japan.
  • Sugiura T; Takahashi Women's Clinic Chiba Japan.
  • Fujita M; Department of Reproductive Medicine, Graduate School of Medicine Chiba University Chiba Japan.
  • Takahashi K; Takahashi Women's Clinic Chiba Japan.
Reprod Med Biol ; 21(1): e12484, 2022.
Article em En | MEDLINE | ID: mdl-36172464
ABSTRACT

Purpose:

To analyze whether the morphokinetics algorithm based on data from day 5 blastocyst transfer (KIDScoreD5 version 3) can predict the pregnancy rate of both day 5 and day 6 blastocyst transfers.

Methods:

The relationship between KIDScoreD5 and clinical pregnancy rate was evaluated using the Cochran-Armitage test and receiver-operating characteristic (ROC) curve analysis.

Results:

A positive correlation was observed between the KIDScoreD5 value and clinical pregnancy rate for both day 5 (p = 0.0003) and day 6 blastocysts (p = 0.0019) using the Cochrane-Armitage test. ROC curve analysis showed that the area under the curve (AUC) of KIDScoreD5 for clinical pregnancy was 0.627 (0.575-0.677, p < 0.0001) for day 5 blastocysts and 0.685 (0.571-0.780, p = 0.0009) for day 6 blastocysts. The combined analysis of both day 5 and day 6 blastocysts also showed an AUC of 0.680 (0.636-0.720, p < 0.0001), suggesting that it is possible to select embryos that are more likely to result in pregnancy.

Conclusions:

KIDScoreD5 could predict pregnancy not only in day 5 blastocysts but also in day 6 blastocysts. When both day 5 and day 6 blastocysts are vitrified, embryo selection by KIDScoreD5 is possible with a high prediction ability of pregnancy.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article