Can we predict the IVF/ICSI live birth rate?

Szczegóły
Abstrakt

Tytuł:: Can we predict the IVF/ICSI live birth rate?
Autorzy:: Metello JL; Division of Reproductive Endocrinology and Infertility, Garcia de Orta Hospital, Almada, Portugal.
Tomás C; Division of Reproductive Endocrinology and Infertility, Garcia de Orta Hospital, Almada, Portugal.
Ferreira P; Division of Reproductive Endocrinology and Infertility, Garcia de Orta Hospital, Almada, Portugal.
Źródło:: JBRA assisted reproduction [JBRA Assist Reprod] 2019 Oct 14; Vol. 23 (4), pp. 402-407. Date of Electronic Publication: 2019 Oct 14.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Original Publication: Brasília/DF : Brazilian Society of Assisted Reproduction, [2014]-
MeSH Terms:: Birth Rate*
Fertilization in Vitro*
Live Birth*
Sperm Injections, Intracytoplasmic*
Infertility/*therapy
Adolescent ; Adult ; Female ; Humans ; Infant, Newborn ; Male ; Ovarian Follicle ; Ovulation Induction/methods ; Parity ; Pregnancy ; Pregnancy Rate ; Prognosis ; Retrospective Studies ; Young Adult
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Contributed Indexing:: Keywords: age; antimullerian hormone; antral follicle count; in vitro fertilization; live-birth rate; predictor
Entry Date(s):: Date Created: 20190731 Date Completed: 20200623 Latest Revision: 20200623
Update Code:: 20240105
PubMed Central ID:: PMC6798599
DOI:: 10.5935/1518-0557.20190043
PMID:: 31361435
: Czasopismo naukowe

Objectives: To find a pretreatment predictor for achieving a live birth. Assisted reproduction technology with IVF/ICSI is the ultimate chance for some couples to conceive a child. The expectations are high and it is important to give them a realistic perspective about the chances of achieving a live birth.
Methods: A retrospective cohort study of all IVF/ICSI cycles performed in our center between 2012 and 2016. We considered only those cycles with a live birth delivery after 24 weeks, or cycles with no surplus embryos left. The following data was evaluated: AMH; AFC; age; BMI; previous diagnosis; type of treatment; number of previous deliveries; ethnicity, smoking status. Univariate and multivariate analysis were used to examine the association of live birth with baseline patient characteristics. We determined the odds-ratio for all the statistically significant variables (p<0.05), in a multivariate model. The results are presented according to the predictors founded.
Results: 739 cycles were evaluated: 9.1% were canceled; 10.2% did not have oocytes; 15.6% did not have D2 embryos; 31.4% achieved a live birth. The univariate analysis revealed statistically significant differences regarding AMH, AFC and women's age between couples with and without a live birth (p<0.001), and the cause of infertility. We found no association with live births in other variables. These variables were categorized and used in a multivariate analysis.
Conclusion: Age, AMH, AFC and cause, when sub-classified, are independently associated with the results of an IVF/ICSI treatment. These results enable couples to face real expectations in their particular scenario.

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