ArticleReproductive biology and endocrinology : RB&E2021
Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScore™ day 5: a large-cohort retrospective study with single vitrified-warmed blastocyst transfer.
Article in Reproductive biology and endocrinology : RB&E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A double-blind randomized controlled trial investigating a time-lapse algorithm for selecting Day 5 blastocysts for transfer.Human reproduction (Oxford, England) · 2022Trial
- Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Implementation readiness of artificial intelligence inFrontiers in endocrinology · 2026Review
- Parental dietary patterns and assisted reproductive technology outcomes including embryo morphokinetics: rotterdam periconception cohort.Journal of assisted reproduction and genetics · 2025Article
- Article
- Time-lapse analysis of embryos classified as euploid, mosaic, and aneuploid after embryonic trophectoderm biopsy.Journal of assisted reproduction and genetics · 2025Article
- A review of artificial intelligence applications in in vitro fertilization.Journal of assisted reproduction and genetics · 2025Review
- Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.Reproductive biology and endocrinology : RB&E · 2024Article
- Associations between the artificial intelligence scoring system and live birth outcomes in preimplantation genetic testing for aneuploidy cycles.Reproductive biology and endocrinology : RB&E · 2024Article
- Pre-Vitrification and Post-Warming Variables of Vitrified-Warmed Blastocysts That Are Predictable for Implantation.Journal of clinical medicine · 2023Article
- Effects of the body mass index of males on hormone levels, sperm and embryo parameters, and clinical outcomes in non-obstructive azoospermia: a systematic review and meta-analysis.Translational andrology and urology · 2023Article
- Development and validation of deep learning based embryo selection across multiple days of transfer.Scientific reports · 2023Article
- Development of an artificial intelligence based model for predicting the euploidy of blastocysts in PGT-A treatments.Scientific reports · 2023Article
- Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer.Clinical and experimental reproductive medicine · 2022Article
- Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study.Journal of assisted reproduction and genetics · 2022Article
- 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.Reproductive medicine and biologyArticle
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe KIDScore™ Day 5 (KS-D5) model, version 3, is a general morphokinetic prediction model (Vitrolife, Sweden) for fetal heartbeat prediction after embryo transfer that was developed based on a large data set that included implantation results from a range of clinics with different patient populations, culture conditions and clinical practices. However, there was no study to comparing their pregnancy and live birth prediction ability among different maternal age. The aim of this study is to analyze the performance of KS-D5 in predicting pregnancy and live birth in various maternal age groups after single vitrified-warmed blastocyst transfer (SVBT).
methodsA total of 2486 single vitrified-warmed blastocyst transfer (SVBT) cycles were analyzed retrospectively. Confirmed fetal heartbeat positive (FHB+) and live birth (LB+) rates were stratified by Society for Assisted Reproductive Technology (SART) maternal age criteria (< 35, 35-37, 38-40, 41-42 and ≥ 43 years of age). Within each age group, the performance of the prediction model was calculated using the AUC, and the results were compared across the age groups.
resultsIn all age groups, the FHB+ rates decreased as the KIDScore decreased (P < 0.05). Conversely, the AUCs increased as the maternal age increased. The AUC of the < 35 age group (0.589) was significantly lower than the AUCs of the 41-42 age group (0.673) and the ≥43 age group (0.737), respectively (P < 0.05). In all age groups, the LB+ rates decreased as the KIDScore decreased (P < 0.05). Conversely, the AUCs increased as the maternal age increased. The AUC of the ≥43 age group (0.768) was significantly higher than the AUCs of other age groups (P < 0.05; < 35 age group = 0.596, 35-37 age group = 0.640, 38-40 age group = 0.646, 41-42 age group = 0.679).
conclusionsIn the present study, we determined that the KIDScore model worked well for prediction of pregnancy and live birth outcomes in advanced age patients.
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