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Predictors of success after in vitro fertilization

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Titel: Predictors of success after in vitro fertilization
Autoren: Laxmi Shingshetty, Natalie J. Cameron, David J. Mclernon, Siladitya Bhattacharya
Weitere Verfasser: University of Aberdeen.Other Applied Health Sciences, University of Aberdeen.M&D School Administration, University of Aberdeen.Medical Statistics, University of Aberdeen.Aberdeen Centre for Women’s Health Research
Quelle: Fertility and Sterility. 121:742-751
Verlagsinformationen: Elsevier BV, 2024.
Publikationsjahr: 2024
Schlagwörter: Male, Infertility/therapy, Pregnancy Rate, Fertilization in Vitro, R Medicine, Fertilization in Vitro/methods, Invitro Fertilisation(IVF), live birth, Pregnancy, Predictive Value of Tests, Risk Factors, Obstetrics and Gynaecology, Humans, Embryo Transfer/methods, Intra-Cytoplasmic Sperm injection(ICSI), Predictors, Embryo Transfer, in vitro fertilization (IVF), Prediction Models, Treatment Outcome, Reproductive Medicine, Infertility, intracytoplasmic sperm injection (ICSI), Female, Live Birth
Beschreibung: The last few decades have witnessed a rise in the global uptake of in vitro fertilization (IVF) treatment. To ensure optimal use of this technology, it is important for patients and clinicians to have access to tools that can provide accurate estimates of treatment success and understand the contribution of key clinical and laboratory parameters that influence the chance of conception after IVF treatment. The focus of this review was to identify key predictors of IVF treatment success and assess their impact in terms of live birth rates. We have identified 11 predictors that consistently feature in currently available prediction models, including age, duration of infertility, ethnicity, body mass index, antral follicle count, previous pregnancy history, cause of infertility, sperm parameters, number of oocytes collected, morphology of transferred embryos, and day of embryo transfer.
Publikationsart: Article
Dateibeschreibung: application/pdf
Sprache: English
ISSN: 0015-0282
DOI: 10.1016/j.fertnstert.2024.03.003
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38492930
Rights: CC BY
Dokumentencode: edsair.doi.dedup.....97dc81a94e7d0367a2d2a7dc8923bb70
Datenbank: OpenAIRE
Beschreibung
Abstract:The last few decades have witnessed a rise in the global uptake of in vitro fertilization (IVF) treatment. To ensure optimal use of this technology, it is important for patients and clinicians to have access to tools that can provide accurate estimates of treatment success and understand the contribution of key clinical and laboratory parameters that influence the chance of conception after IVF treatment. The focus of this review was to identify key predictors of IVF treatment success and assess their impact in terms of live birth rates. We have identified 11 predictors that consistently feature in currently available prediction models, including age, duration of infertility, ethnicity, body mass index, antral follicle count, previous pregnancy history, cause of infertility, sperm parameters, number of oocytes collected, morphology of transferred embryos, and day of embryo transfer.
ISSN:00150282
DOI:10.1016/j.fertnstert.2024.03.003