Prediction of live birth and cumulative live birth rates in freeze-all-IVF treatment of a general population
Springer US, 2019
academicJournal
Zugriff:
PURPOSE: To investigate the cumulative live birth (cLB) rate of one complete freeze-all-IVF cycle in a general infertile population and to investigate patient and treatment variables that predict blastocyst development and live birth (LB). METHOD: In a retrospective observational study, the data of all IVF cycles performed between 1 February 2015 and 31 January 2016 at a single IVF centre was investigated. In the study, patient-couples were followed up for 18 months following oocyte retrieval. After exclusions, the patient and treatment variables of 1582 patient-couples who underwent treatment were included in the analyses. RESULTS: The median time interval between the oocyte retrieval attempt and the frozen embryo transfer (FET) in which LB was achieved was 38.0 (35.0–67.0) days. The variables of freeze-all-IVF cycles with single blastocyst FET selected by multiple logistic regression to predict LB significantly were female age, infertility duration, FET number (i.e. 1st, 2nd, or ≥ 3rd FET), and blastocyst quality. In a regression adjusting for female age, the number of blastocysts transferred, and oocyte number group (1–3, 4–9, 10–15, and > 15), none of the oocyte number groups were selected to predict LB of 1st FET, significantly. While the per transfer LB rates decreased linearly from the 1st (56.5%) to the 3rd (36.4%) FET, the cLB rate increased from 47.3% after the 1st FET to 55.0% after a 3rd possible FET. CONCLUSION: The cLB rate of one complete freeze-all-IVF cycle of a general infertile population, with 18-month follow-up, was 55.0%. In freeze-all-IVF, ovarian reserve variables were not selected by regression models to predict LB, significantly.
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Prediction of live birth and cumulative live birth rates in freeze-all-IVF treatment of a general population
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Autor/in / Beteiligte Person: | Ozgur, Kemal ; Bulut, Hasan ; Berkkanoglu, Murat ; Donmez, Levent ; Coetzee, Kevin |
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Veröffentlichung: | Springer US, 2019 |
Medientyp: | academicJournal |
DOI: | 10.1007/s10815-019-01422-z |
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