Lower female partner live birth rate in male cancer survivors: An age‐matched cohort analysis of the Utah Population Database

Andrologia ◽  
2021 ◽  
Author(s):  
Darshan P. Patel ◽  
Huong T. Meeks ◽  
Alexander W. Pastuszak ◽  
Heidi A. Hanson ◽  
Ken R. Smith ◽  
...  
Keyword(s):  
Cancer Survivors ◽  
Live Birth ◽  
Birth Rate ◽  
Cohort Analysis ◽  
Live Birth Rate ◽  
Female Partner ◽  
Matched Cohort ◽  
Population Database

scholarly journals Does Blastocyst Morphology Influence Live Birth Rate after Frozen-thawed Single Euploid Embryo Transfer?

2021 ◽  
Author(s):  
Na Li ◽  
Yichun Guan ◽  
Bingnan Ren ◽  
Yuchao Zhang ◽  
Yulin Du ◽  
...  
Keyword(s):  
Embryo Transfer ◽  
Live Birth ◽  
Birth Rate ◽  
Inner Cell Mass ◽  
Medical Center ◽  
Cohort Analysis ◽  
Cell Mass ◽  
Live Birth Rate ◽  
Poor Quality ◽  
Blastocyst Quality

Abstract Objective To investigate whether the morphologic parameters of euploid blastocyst influence the live birth rate (LBR) following single frozen-thawed embryo transfer (FET) cycles? Methods A retrospective cohort analysis involving autologous single FET cycles after preimplantation genetic testing for aneuploidy (PGT-A) through next generation sequencing (NGS) by a university-based reproductive medical center that was performed from June 2017 to September 2019.Women were divided into three age groups (< 30, 30–34 and ≥ 35 years). The primary outcome measure was LBR. Outcomes were compared to determine the association between different blastocyst quality (Good, Average and Poor), inner cell mass (ICM) grade (A and B), and trophectoderm (TE) grade (A, B and C) and LBR. Results We included 232 single FET cycles for analysis, the total LBR was 48.48%. In the youngest group (< 30 years, n = 86), LBR were compared between cycles with various blastocyst quality (72.22% for good quality, 54.55% for average quality and 34.78% for poor quality; P = 0.019), ICM grade (70.59% for grade A and 42.03% for grade B; P = 0.035) and TE grade (85.71% for grade A,57.58% for grade B and 34.78 for grade C; P = 0.015). Similarly, in the 30–34 years group, LBR ranged from 50.00% for good quality to 45.45% for poor quality (P = 0.870), from 35.29% for ICM grade A to 51.22% for ICM grade B (P = 0.291), from 60.00% for TE grade A to 45.45% for TE grade C (P = 0.634). Likewise, in the oldest group (≥ 35years, n = 47), LBR were also comparable between these subgroups, but no significant differences were seen in blastocyst morphologic parameters and LBR (P > 0.05). Conclusion After single FET cycles, the LBR was associated with morphologic parameters of euploid blastocysts, especially in women < 30 years old. However, these differences were not found in women older than 30 years. We suggested that for older women whose embryos undergoing PGT-A with NGS to be euploid have the same development potential regardless of their blastocyst morphology.

Uterine immune profiling for increasing live birth rate: A one-to-one matched cohort study

2017 ◽  
Vol 119 ◽  
pp. 23-30 ◽  
Author(s):  
Nathalie Lédée ◽  
Laura Prat-Ellenberg ◽  
Lucie Chevrier ◽  
Richard Balet ◽  
Cynthia Simon ◽  
...  
Keyword(s):  
Cohort Study ◽  
Live Birth ◽  
Birth Rate ◽  
Live Birth Rate ◽  
Matched Cohort ◽  
Matched Cohort Study ◽  
One To One ◽  
Immune Profiling

Does Blastocyst Morphology Influence Live Birth Rate after Frozen-thawed Single Euploid Blastocyst Transfer?

2020 ◽  
Author(s):  
Na Li ◽  
Yichun Guan ◽  
Bingnan Ren ◽  
Yuchao Zhang ◽  
Yulin Du ◽  
...  
Keyword(s):  
Live Birth ◽  
Birth Rate ◽  
Inner Cell Mass ◽  
Statistical Significance ◽  
Cohort Analysis ◽  
Cell Mass ◽  
Live Birth Rate ◽  
Poor Quality ◽  
Significant Difference ◽  
Blastocyst Quality

Abstract Objective To determine whether the morphologic parameters of euploid blastocyst influence the live birth rate (LBR) following single frozen-thawed embryo transfer (FET) cycles? Methods A retrospective cohort analysis involving autologous single FET cycles after next generation sequencing (NGS) based preimplantation genetic testing for aneuploidy (PGT-A) by a large in vitro fertilization (IVF) center that was performed from June 2017 to September 2019.Women were divided into three age groups (< 30, 30–34 and ≥ 35 years old). The primary outcome measure was LBR. Outcomes were compared between different blastocyst quality (Good, Average and Poor), inner cell mass (ICM) grade (A and B), and trophectoderm (TE) grade (A, B and C). Results A total of 232 FET cycles were included, the live birth rate was 48.28%. In the youngest group (< 30 years old, n = 86), LBR were compared between cycles with various blastocyst quality (72.22% for good quality, 54.55% for average quality and 34.78% for poor quality; P = 0.019), ICM grade (70.59% for grade A and 42.03% for grade B; P = 0.035) and TE grade (85.71% for grade A,57.58% for grade B and 34.78 for grade C; P = 0.015). Nevertheless, either in the 30–34 years group (n = 99) or in the oldest group (≥ 35years, n = 47), LBR were also comparable between these subgroups, no significant difference was showed in blastocyst morphologic parameters and LBR (P > 0.05). Furthermore, in the similarly graded euploid blastocysts, there was also no statistical significance in LBR among different age subgroups (P > 0.05). Conclusions In women ≥ 30 years old, euploid blastocyst quality was not associated with the LBR in FET cycles, highlights the development competence of poor-quality euploid blastocysts.

scholarly journals Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018

2021 ◽  
Author(s):  
Kathryn D. Sanders ◽  
Giuseppe Silvestri ◽  
Tony Gordon ◽  
Darren K. Griffin
Keyword(s):  
Genetic Testing ◽  
Data Collection ◽  
Live Birth ◽  
Maternal Age ◽  
Birth Rate ◽  
Treatment Cycle ◽  
Cohort Analysis ◽  
Live Birth Rate ◽  
Traffic Light ◽  
Preimplantation Genetic Testing

Abstract Purpose To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection. Methods A retrospective cohort analysis was conducted following freedom of information (FoI) requests to the HFEA for the PGT-A and non-PGT-A cycle outcomes for 2016–2018. Statistical analysis of differences between PGT-A and non-PGT-A cycles was performed. Other than grouping by maternal age, no further confounders were controlled for; fresh and frozen transfers were included. Results Outcomes collected between 2016 and 2018 included total number of cycles, cycles with no embryo transfer, total number of embryos transferred, live birth rate (LBR) per embryo transferred and live birth rate per treatment cycle. Data was available for 2464 PGT-A out of a total 190,010 cycles. LBR per embryo transferred and LBR per treatment cycle (including cycles with no transfer) were significantly higher for all PGT-A vs non-PGT-A age groups (including under 35), with nearly all single embryo transfers (SET) after PGT-A (significantly more in non-PGT-A) and a reduced number of transfers per live birth particularly for cycles with maternal age over 40 years. Conclusion The retrospective study provides strong evidence for the benefits of PGT-A in terms of live births per embryo transferred and per cycle started but is limited in terms of matching PGT-A and non-PGT-A cohorts (e.g. in future studies, other confounders could be controlled for). This data challenges the HFEA “red traffic light” guidance that states there is “no evidence that PGT-A is effective or safe” and hence suggests the statement be revisited in the light of this and other new data.

scholarly journals Predicting the Likelihood of Live Birth in Assisted Reproductive Technology According to the Number of Oocytes Retrieved and Female Age Using a Generalized Additive Model: A Retrospective Cohort Analysis of 17,948 Cycles

2021 ◽  
Vol 12 ◽  
Author(s):  
Haiyan Zhu ◽  
Chenqiong Zhao ◽  
Peiwen Xiao ◽  
Songying Zhang
Keyword(s):  
Assisted Reproductive Technology ◽  
Live Birth ◽  
Retrospective Cohort ◽  
Birth Rate ◽  
Generalized Additive Model ◽  
Cohort Analysis ◽  
Additive Model ◽  
Live Birth Rate ◽  
Reproductive Technology ◽  
Retrospective Cohort Analysis

CapsuleWe designed a predictive reference model to evaluate how many stimulation cycles are needed for a patient to achieve an ideal live birth rate using assisted reproductive technology.ObjectiveTo develop a counseling tool for women who wish to undergo assisted reproductive technology (ART) treatment to predict the likelihood of live birth based on age and number of oocytes retrieved.MethodsThis was a 6-year population-based retrospective cohort analysis using individual patient ART data. Between 2012 and 2017, 17,948 women were analyzed from their single ovarian stimulation cycle until they had a live birth or had used all their embryos. All consecutive women between 20 and 49 years old undergoing their ovarian stimulation cycles for ART in our center were enrolled. The cumulative live birth rate (CLBR) was defined as the delivery of a live neonate born during fresh or subsequent frozen–thawed embryo transfer cycles. Only the first delivery was considered in the analysis. Binary logistic regression was performed to identify and adjust for factors known to affect the CLBR independently. A generalized additive model was used to build a predictive model of CLBR according to the woman’s age and the number of oocytes retrieved.ResultsAn evidenced-based counseling tool was created to predict the probability of an individual woman having a live birth, based on her age and the number of oocytes retrieved in ART cycles. The model was verified by 10 times 10-fold cross-validation using the preprocessed data, and 100 area under the curve (AUC) values for receiver operating characteristic (ROC) curves were obtained on the test set. The mean AUC value was 0.7394. Our model predicts different CLBRs ranging from nearly 90% to less than 20% for women aged 20–49 years with at least 22 oocytes retrieved. The CLBRs of women aged 20–28 years were very similar, nearly on one trend line with a certain number of oocytes retrieved. Differences in the CLBR began to appear by the age of 29 years; these increased gradually in women aged &gt;35 years.ConclusionA predictive model of the CLBR was designed to serve as a guide for physicians and for patients considering ART treatment. The number of oocytes needed to be retrieved to achieve a live birth depends on the woman’s age.

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