Which factors are most predictive for live birth after in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments? Analysis of 100 prospectively recorded variables in 8,400 IVF/ICSI single-embryo transfers

Vaegter, Katarina Kebbon; Lakic, Tatevik Ghukasyan; Olovsson, Matts; Berglund, Lars; Brodin, Thomas; Holte, Jan

doi:10.1016/j.fertnstert.2016.12.005

Cited by 135 publications

(123 citation statements)

References 55 publications

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“…Our results are in agreement with previous findings in which cryopreservation of all viable blastocysts after ICSI followed by a subsequent FET cycle improved implantation when compared with fresh ET (13,31,32). The statistically significant difference in endometrial thickness might not be an important factor in light of studies that have found no correlation between endometrial thickness >10 mm and assisted reproduction outcomes (33).…”

Section: Discussionsupporting

confidence: 92%

Revisiting the management of recurrent implantation failure through freeze-all policy

Magdi

El-Damen²,

Fathi

et al. 2017

Fertility and Sterility

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Section: Discussionsupporting

confidence: 92%

Revisiting the management of recurrent implantation failure through freeze-all policy

Magdi

El-Damen²,

Fathi

et al. 2017

Fertility and Sterility

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“…This association between female age and LBR was nonlinear, with marked decreases in LBR after 28, 35 and 38 years of age ( Vaegter et al , 2017 ). Some studies dichotomized age into two categories, <35 or ≥35 years ( Sharma et al , 2002 ).…”

Section: Discussionmentioning

confidence: 99%

“…All three predictors were associated with higher pregnancy likelihoods after IVF. In all the studies, better embryo quality was associated with higher likelihoods of pregnancy, but since these studies used different factors or combinations of embryo factors to report embryo quality, it was not possible to pool the data and calculate a summary OR ( Vaegter et al , 2017 ). The number of embryos top ≥2 used as best benchmark corresponded to values equal to or higher than the mean of those found previously in the patients who achieved clinical pregnancies in our clinic.…”

Section: Discussionmentioning

confidence: 99%

Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program

Franco

Petersen

Mauri

et al. 2017

JBRA Assisted Reproduction

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ObjectiveKPIs have been employed for internal quality control (IQC) in ART. However, clinical KPIs (C-KPIs) such as age, AMH and number of oocytes collected are never added to laboratory KPIs (L-KPIs), such as fertilization rate and morphological quality of the embryos for analysis, even though the final endpoint is the evaluation of clinical pregnancy rates. This paper analyzed if a KPIs-score strategy with clinical and laboratorial parameters could be used to establish benchmarks for IQC in ART cycles.MethodsIn this prospective cohort study, 280 patients (36.4±4.3years) underwent ART. The total KPIs-score was obtained by the analysis of age, AMH (AMH Gen II ELISA/pre-mixing modified, Beckman Coulter Inc.), number of metaphase-II oocytes, fertilization rates and morphological quality of the embryonic lot.ResultsThe total KPIs-score (C-KPIs+L-KPIs) was correlated with the presence or absence of clinical pregnancy. The relationship between the C-KPIs and L-KPIs scores was analyzed to establish quality standards, to increase the performance of clinical and laboratorial processes in ART. The logistic regression model (LRM), with respect to pregnancy and total KPIs-score (280 patients/102 clinical pregnancies), yielded an odds ratio of 1.24 (95%CI = 1.16-1.32). There was also a significant difference (p<0.0001) with respect to the total KPIs-score mean value between the group of patients with clinical pregnancies (total KPIs-score=20.4±3.7) and the group without clinical pregnancies (total KPIs-score=15.9±5). Clinical pregnancy probabilities (CPP) can be obtained using the LRM (prediction key) with the total KPIs-score as a predictor variable. The mean C-KPIs and L-KPIs scores obtained in the pregnancy group were 11.9±2.9 and 8.5±1.7, respectively. Routinely, in all cases where the C-KPIs score was ≥9, after the procedure, the L-KPIs score obtained was ≤6, a revision of the laboratory procedure was performed to assess quality standards.ConclusionThis total KPIs-score could set up benchmarks for clinical pregnancy. Moreover, IQC can use C-KPIs and L-KPIs scores to detect problems in the clinical-laboratorial interface.

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“…28 Concerning perinatal outcomes, ICSI for male factor infertility was also not associated with changes in length of gestation, baby birth weight, sex ratio, rate of pregnancy loss and congenital malformations in other reports. [28][29][30] The main limitations of this study are (i) its retrospective nature and (ii) the fact that male factor was defined as the cause of infertility, but it was not subdivided into different male infertility diagnoses as they exist for female factor infertility, so the severity of the male factor infertility could not be determined.…”

Section: Discussionmentioning

confidence: 99%

Overcoming male factor infertility with intracytoplasmic sperm injection

Borges

Zanetti

Braga

et al. 2017

Rev. Assoc. Med. Bras.

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Objective:To evaluate the effect of male factor infertility on intracytoplasmic sperm injection (ICSI) outcomes compared with a control group presenting isolated tubal factor. Method: This retrospective study included 743 couples undergoing ICSI as a result of isolated male factor and a control group consisting of 179 couples undergoing ICSI as a result of isolated tubal factor, performed in a private university--affiliated in vitro fertilization center, between January/2010 and December/2016. Patients were divided into two groups according to maternal age: women ≤35 years old and >35 years old. The effects of infertility causes on laboratorial and clinical ICSI outcomes were evaluated using Student's t-test and χ 2 test. Results: No differences in controlled ovarian stimulation outcomes were observed between male factor cycles and tubal factor cycles in the two age groups. Implantation (male factor 35.5% vs. tubal factor 32.0%, p=0.340), pregnancy (male factor 46.9% vs. tubal factor 40.9%, p=0.184) and miscarriage (male factor 10.3% vs. tubal factor 10.6%, p=0.572) rates were similar between the infertility groups, irrespective of female age. Considering maternal age, the cancelation rate was higher in older women (>35 years old) undergoing ICSI as a result of male factor infertility (17.4% vs. 8.9%, p=0.013). Conclusion: Our results showed that there is no difference in the outcomes of pregnancy between couples with male or tubal factor infertility, which indicates that ICSI surpasses the worse specific outcomes associated with male factor.

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Which factors are most predictive for live birth after in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments? Analysis of 100 prospectively recorded variables in 8,400 IVF/ICSI single-embryo transfers

Abstract: Based on 100 variables prospectively recorded during a 15-year period, a model for live birth prediction after strict SET was constructed and showed excellent calibration in internal validation. For the first time, female height qualified as a predictor of live birth after IVF/ICSI.

Cited by 135 publications

References 55 publications

Revisiting the management of recurrent implantation failure through freeze-all policy

Revisiting the management of recurrent implantation failure through freeze-all policy

Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program

Overcoming male factor infertility with intracytoplasmic sperm injection

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