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This prospective study is subject to approval of institutional medical research ethics committee. Patient undergoing second cycle IVF will be enrolled into the intervention group. Intervention involved using a clinical decision support tool, Opt-IVF to guide gonadotrophins dosing and trigger dates for a personalized controlled ovarian stimulation cycle based on the distribution of follicle sizes on day 1 and day 5, and hormone dosages given on day 1 to 4.
Patients will undergo transvaginal ultrasound exam on day 1 and day 5 of the cycle to determine the number and size of follicles present. The data is used in the Opt-IVF decision support tool to suggest Gonadotropin dosage for D5 and beyond and to recommend the antagonist start day and trigger day.
Clinical investigators will not override the Opt-IVF recommended dosage in any patients.
The total dosage of gonadotrophin, number of good quality oocytes and blastocyst will be analyzed from each arm.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| standard IVF regime protocol based on clinician decision | The dosage of gonadotrophin and time of transvaginal ultrasound decided by clinician |
| |
| clinical decision support tool, Opt-IVF for IVF regime protocol | The dosage of gonadotrophin and time of transvaginal ultrasound decided by a clinical decision support tool ( OPt -IVF) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| total cumulative gonadotrophin usage | Other | total dosage in IU |
|
| Measure | Description | Time Frame |
|---|---|---|
| total cumulative dosage of Gonadotropins | number of total dosage that utilize during one cycle of IVF treatment | for 1 year duration |
| Total number of matured oocytes | number of matured oocytes following the stimulation protocol | for 1 year duration |
| total number of good quality blastocyst | total blastocyst achieved after each sti,ulation protocol | for 1 year duration |
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Inclusion Criteria:
Exclusion Criteria:
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Patient who had failed their first IVF treatment
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Muhammad Azrai Abu | Contact | +60196410944 | azraiabu1983@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Muhammad Azrai Abu, MD | Department Of Obstetrics And Gynecology, Ukm Medical Centre | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Advanced Reproductive Centre | Kuala Lumpur | Kuala Lumpur | 56000 | Malaysia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34493094 | Result | Leahy BD, Racowsky C, Needleman D. Inferring simple but precise quantitative models of human oocyte and early embryo development. J R Soc Interface. 2021 Sep;18(182):20210475. doi: 10.1098/rsif.2021.0475. Epub 2021 Sep 8. | |
| 30088950 | Result | Simopoulou M, Sfakianoudis K, Antoniou N, Maziotis E, Rapani A, Bakas P, Anifandis G, Kalampokas T, Bolaris S, Pantou A, Pantos K, Koutsilieris M. Making IVF more effective through the evolution of prediction models: is prognosis the missing piece of the puzzle? Syst Biol Reprod Med. 2018 Oct;64(5):305-323. doi: 10.1080/19396368.2018.1504347. Epub 2018 Aug 8. |
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| ID | Term |
|---|---|
| D007246 | Infertility |
| ID | Term |
|---|---|
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
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|
| 34256948 | Result | Hariton E, Chi EA, Chi G, Morris JR, Braatz J, Rajpurkar P, Rosen M. A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes. Fertil Steril. 2021 Nov;116(5):1227-1235. doi: 10.1016/j.fertnstert.2021.06.018. Epub 2021 Jul 10. |
| 36096871 | Result | Fanton M, Nutting V, Rothman A, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation. Reprod Biomed Online. 2022 Dec;45(6):1152-1159. doi: 10.1016/j.rbmo.2022.07.010. Epub 2022 Jul 28. |
| 35915001 | Result | Correa N, Cerquides J, Arcos JL, Vassena R. Supporting first FSH dosage for ovarian stimulation with machine learning. Reprod Biomed Online. 2022 Nov;45(5):1039-1045. doi: 10.1016/j.rbmo.2022.06.010. Epub 2022 Jun 18. |
| 33160514 | Result | Curchoe CL, Flores-Saiffe Farias A, Mendizabal-Ruiz G, Chavez-Badiola A. Evaluating predictive models in reproductive medicine. Fertil Steril. 2020 Nov;114(5):921-926. doi: 10.1016/j.fertnstert.2020.09.159. |