Articles Vol. 66 No. CĐ2-NCKH 24/03/2025

8. THE VALUE OF KIDs SCORE IN THE PROGNOSIS OF CLINICAL PREGNANCY AFTER THE TRANSFER OF DAY-5 FROZEN EMBRYOS CULTURED USING THE TIMELAPSE SYSTEM AT HANOI OBSTETRICS AND GYNECOLOGY HOSPITAL.

Nguyen Thi Thu Ha1,2, Nguyen Duy Anh1,2, Pham Thuy Nga3,4, Be Thi Hoa5,6
1 National Hospital of Obstetrics and Gynecology
2 Bệnh viện Phụ Sản Trung ương
3 Hanoi Obstetrics and Gynecology Hospital
4 Bệnh viện Phụ Sản Hà Nội
5 Thai Nguyen University of Medicine and Pharmacy
6 Trường Đại học Y Dược Thái Nguyên
Corresponding author: dr.hanguyen.nhog@gmail.com
DOI: 10.52163/yhc.v66iCĐ2.2191
21 Views
8 Downloads
Keywords
Timelapse system KIDs score frozen blastocyst embryo transfer
Abstract

Objectives: To analyze the performance of the KIDs score in predicting of clinical pregnancy outcome after a single frozen blastocyst embryo transfer using the Timelapse system at Hanoi Obstetrics and Gynecology Hospital.

Materials and methods: Descriptive study on 221 patients with frozen blastocyst embryo transfer using the Timelapse system for embryo incubation from June 2023 to May 2024 at Hanoi Obstetrics and Gynecology Hospital.

Results: The rates of β-HCG (+), clinical pregnancy, and ongoing pregnancy were 69.2%, 62.9% and 56.1%, respectively. The average KIDs score was 7.3 ± 1.74 points. The average KIDs score was higher in the pregnant group than in the non-pregnant group (7.6 ± 1.5 points vs 6.8 ± 2.1 points, p = 0 < 0.05). In both the non-PGT group and the group with abnormal PGT results, the average KIDs score was higher in the pregnant group than in the non-pregnant group (8.0 ± 1.3 points vs 6.8 ± 2.4 points, p < 0.05 and 7.8 ± 1.5 points vs 6.1 ± 1.8 points, p < 0.05). The KIDs score cut-off value for predicting clinical pregnancy was 7.15, with a sensitivity of 65.5%, specificity of 53.7%, and an AUC of 0.609.

Conclusions: The KIDs score in the Timelapse system model worked well for prediction of clinical pregnancy, with the average KIDs score was higher in the pregnant group than in the non-pregnant group.

References
[1]
Pribenszky C, Nilselid A.M, Montag M, Timelapse culture with morphokinetic embryo selection improves pregnancy and live birth chances and reduces early pregnancy loss: a meta-analysis, Reprod Biomed Online, 2017, 35 (5): 511-520. Google Scholar
[2]
Kato K, Ueno S, Berntsen J et al, Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScoreTM day 5: a large-cohort retrospective study with single vitrified-warmed blastocyst transfer, Reprod Biol Endocrinol RBE, 2021, 19 (1), 98. Google Scholar
[3]
Gazzo E, Peña F, Valdéz F et al, The KidscoreTM D5 algorithm as an additional tool to morphological assessment and PGT-A in embryo selection: a time-lapse study, JBRA Assist Reprod,2020, 24 (1), pp. 55-60. Google Scholar
[4]
Nghiêm Văn Dũng, Hồ Nguyệt Minh, Hồ Sỹ Hùng, Đánh giá kết quả chuyển phôi trữ đông được nuôi bằng hệ thống Timelapse, Tạp chí Y học Việt Nam, 2023, 533 (2), tr. 46-50. Google Scholar
[5]
Diêm Thị Yến, Lê Thị Phương Lan, Nguyễn Thị Cẩm Vân và cộng sự. Kết quả lâm sàng của các trường hợp chuyển một phôi nang qua phương pháp nuôi cấy time lapse tại Trung tâm Hỗ trợ Sinh sản Vinmec Times City, Tạp chí Y học Việt Nam, 2022, 510 (1), tr. 153-157. Google Scholar
[6]
Carson S.A, Kallen A.N, Diagnosis and Management of Infertility: A Review, JAMA, 2021, 326 (1), pp. 65-76. Google Scholar
[7]
Fishel S, Campbell A, Montgomery S et al, Timelapse imaging algorithms rank human preimplantation embryos according to the probability of live birth. Reprod Biomed Online, 2018, 37 (3), pp. 304-313. Google Scholar
[8]
Papamentzelopoulou M.S, Prifti I.N, Mavrogianni D et al, Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study, Reprod Biol Endocrinol, 2024, 22 (1), 27. Google Scholar