Pub Date : 2024-10-18DOI: 10.1016/j.fertnstert.2024.10.015
Iris T Lee, Jessica Wu, Nathanael Koelper, Sunni L Mumford, Kurt T Barnhart, Andrea H Roe
{"title":"Prediction of menstrual cycle phase using cross-sectional measurements of reproductive hormones.","authors":"Iris T Lee, Jessica Wu, Nathanael Koelper, Sunni L Mumford, Kurt T Barnhart, Andrea H Roe","doi":"10.1016/j.fertnstert.2024.10.015","DOIUrl":"10.1016/j.fertnstert.2024.10.015","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-17DOI: 10.1016/j.fertnstert.2024.10.009
Nanette Santoro
{"title":"Playing the long game for reproductive rights.","authors":"Nanette Santoro","doi":"10.1016/j.fertnstert.2024.10.009","DOIUrl":"10.1016/j.fertnstert.2024.10.009","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-17DOI: 10.1016/j.fertnstert.2024.10.008
William H Kutteh, Ralph S Papas, Elias M Dahdouh
{"title":"Is it time for new guidelines for recurrent pregnancy loss integrating genetic testing of products of conception and preimplantation genetic testing?","authors":"William H Kutteh, Ralph S Papas, Elias M Dahdouh","doi":"10.1016/j.fertnstert.2024.10.008","DOIUrl":"10.1016/j.fertnstert.2024.10.008","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1016/j.fertnstert.2024.10.010
Kelaney Stalker, Chad Pollard, Neil J Perkins, Elizabeth A DeVilbiss, Tim Jenkins
Objective: To identify differentially methylated regions (DMRs) and assess epigenetic age and instability scores within each cohort of differing income level and educational attainment.
Design: Retrospective analysis of epigenetic data.
Subjects: 1429 semen samples from participants in the FAZST trial.
Exposure: Socio-economic status, approximated by self-reported income, and education level.
Main outcome measures: Differential sperm DNA methylation, epigenetic age, epigenetic stability RESULTS: There were four significant DMRs associated with the income cohorts and seven associated with the education cohorts, suggesting epigenetic patterns vary with socio-economic status. Adjusted epigenetic age (GLAD values) did not differ significantly in either cohort; however, a higher number of unstable promoters were observed in the lowest education cohort (p-value of 0.006), indicating dysregulation in the epigenome.
Conclusion: These findings suggest a biological link between income and education level in sperm epigenetic patterns, which may influence reproductive health. The increase in unstable promoters in the lower education cohorts may contribute to health disparities associated with educational attainment; however, it is important to consider lifestyle factors and environmental exposures as potential underlying causes. Further research is needed to fully elucidate the implications of these epigenetic changes and their relationship to health outcomes.
{"title":"Epigenetic Implications of Socioeconomic Status and Education on Sperm DNA Methylation Patterns.","authors":"Kelaney Stalker, Chad Pollard, Neil J Perkins, Elizabeth A DeVilbiss, Tim Jenkins","doi":"10.1016/j.fertnstert.2024.10.010","DOIUrl":"https://doi.org/10.1016/j.fertnstert.2024.10.010","url":null,"abstract":"<p><strong>Objective: </strong>To identify differentially methylated regions (DMRs) and assess epigenetic age and instability scores within each cohort of differing income level and educational attainment.</p><p><strong>Design: </strong>Retrospective analysis of epigenetic data.</p><p><strong>Subjects: </strong>1429 semen samples from participants in the FAZST trial.</p><p><strong>Exposure: </strong>Socio-economic status, approximated by self-reported income, and education level.</p><p><strong>Main outcome measures: </strong>Differential sperm DNA methylation, epigenetic age, epigenetic stability RESULTS: There were four significant DMRs associated with the income cohorts and seven associated with the education cohorts, suggesting epigenetic patterns vary with socio-economic status. Adjusted epigenetic age (GLAD values) did not differ significantly in either cohort; however, a higher number of unstable promoters were observed in the lowest education cohort (p-value of 0.006), indicating dysregulation in the epigenome.</p><p><strong>Conclusion: </strong>These findings suggest a biological link between income and education level in sperm epigenetic patterns, which may influence reproductive health. The increase in unstable promoters in the lower education cohorts may contribute to health disparities associated with educational attainment; however, it is important to consider lifestyle factors and environmental exposures as potential underlying causes. Further research is needed to fully elucidate the implications of these epigenetic changes and their relationship to health outcomes.</p>","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1016/j.fertnstert.2024.10.007
Shumin He, Zongxiang Yue, Qiong Yi
{"title":"Expanding the understanding of eating behaviors in women with polycystic ovary syndrome: addressing lifestyle, hormonal, and psychological factors.","authors":"Shumin He, Zongxiang Yue, Qiong Yi","doi":"10.1016/j.fertnstert.2024.10.007","DOIUrl":"10.1016/j.fertnstert.2024.10.007","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.fertnstert.2024.10.006
Lorena Bori, Marco Toschi, Rebeca Esteve, Arantza Delgado, Antonio Pellicer, Marcos Meseguer
<p><strong>Objective: </strong>To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.</p><p><strong>Design: </strong>Retrospective cohort study.</p><p><strong>Setting: </strong>Clinic.</p><p><strong>Patients: </strong>A total of 6,434 patients undergoing 7,352 IVF treatments contributed 70,456 embryos.</p><p><strong>Intervention: </strong>Embryos were evaluated by conventional morphology and retrospectively scored using a fully automated deep learning-based algorithm across conventional IVF, oocyte donation, and preimplantation genetic testing for aneuploidy (PGT-A) cycles.</p><p><strong>Main outcome measures: </strong>The primary outcomes were implantation and live birth, including odds ratios (ORs) from generalized estimating equation models. Secondary outcomes were embryo morphology, euploidy, and miscarriage. Exploratory outcomes included a comparison between conventional methodology and artificial intelligence algorithm with areas under the receiver operating characteristics curves (AUCs), agreement degree between artificial intelligence and embryologists, Cohen's Kappa coefficient, and relative risk.</p><p><strong>Results: </strong>Implantation and live birth rates increased as the automatic embryo scores increased. The generalized estimating equation model, controlling for confounders, showed that the automatic score was associated with an OR of 1.31 (95% confidence interval [CI], 1.25-1.36) for implantation in treatments using oocytes from patients and an OR of 1.17 (95% CI, 1.14-1.20) in the oocyte donation program, with no significant association with PGT-A treatments. For live birth, the ORs were 1.27 (95% CI, 1.21-1.33) for patients, 1.16 (95% CI, 1.13-1.19) for donors, and 1.05 (95% CI, 1-1.10) for PGT-A cycles. The average score was higher in embryos with better morphology, in euploid embryos compared with aneuploid embryos, and in embryos that resulted in a full-term pregnancy compared with those that miscarried. Concordance between the highest-scoring embryo and the embryo with the best conventional morphology was 71.4% (95% CI, 67.7%-75.0%) in treatments with patient oocytes and 61.0% (95% CI, 58.6%-63.4%) in the oocyte donation program. Overall, the Cohen's Kappa coefficient was 0.63. The automatic embryo score showed similar AUCs to conventional morphology, although implantation was higher when the transferred embryo matched the highest-scoring embryo from each cohort (57.36% vs. 49.98%). Relative risk indicated a 1.14-fold increase in implantation likelihood when the top-ranked embryo was transferred.</p><p><strong>Conclusions: </strong>A fully automated embryo scoring system effectively ranked embryos based on their potential for implantation and live birth. The performance of the conventional methodology was comparable to that of the artificial intelligence-based technology; however, better clinical outcomes were observed when the highest-scoring embryo in the cohor
目的:对体外受精(IVF)治疗中的全自动胚胎分类进行外部验证:从外部验证体外受精(IVF)治疗中的全自动胚胎分类:设计:回顾性队列研究:暴露:通过传统形态学对胚胎进行评估,并使用基于深度学习的全自动算法对传统试管婴儿、卵母细胞捐赠和PGT-A周期的胚胎进行回顾性评分:主要结果是植入和活产,包括来自广义估计方程(GEE)模型的几率比(ORs)。次要结果为胚胎形态、非整倍体和流产。探索性结果包括传统方法与人工智能(AI)算法的比较、ROC 曲线下面积(AUC)、AI 与胚胎学家之间的一致程度、科恩卡帕系数(Cohen's Kappa coefficient)和相对风险(RR):结果:随着自动胚胎评分的提高,植入率和活产率也随之提高。控制混杂因素的 GEE 模型显示,在使用患者卵母细胞的治疗中,自动评分与植入的 OR 值为 1.31(95%CI[1.25-1.36])相关,在卵母细胞捐献项目中,与植入的 OR 值为 1.17(95%CI[1.14-1.20])相关,而在 PGT-A 治疗中,与植入的 OR 值无显著相关。在活产方面,患者的 OR 值为 1.27(95%CI[1.21-1.33]),捐献者的 OR 值为 1.16(95%CI[1.13-1.19]),PGT-A 周期的 OR 值为 1.05(95%CI[1-1.10])。形态较好的胚胎、优卵胚胎与非优卵胚胎相比,以及足月妊娠的胚胎与流产的胚胎相比,平均得分更高。在使用患者卵母细胞的治疗中,得分最高的胚胎与常规形态最佳的胚胎之间的一致性为 71.4%(95%CI[67.7%-75.0%]),而在卵母细胞捐赠计划中,两者之间的一致性为 61.0%(95%CI[58.6%-63.4%])。总体而言,科恩卡帕系数为 0.63。自动胚胎评分的 AUC 与传统形态学相似,但当移植的胚胎与每个队列中得分最高的胚胎相匹配时,植入率更高(57.36% 对 49.98%)。RR表明,移植得分最高的胚胎时,植入可能性增加了1.14倍:结论:全自动胚胎评分可根据胚胎植入和活产的可能性对胚胎进行有效排名。传统方法的性能与基于人工智能技术的方法不相上下;但是,如果移植队列中得分最高的胚胎,则可观察到更好的临床结果。
{"title":"External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos.","authors":"Lorena Bori, Marco Toschi, Rebeca Esteve, Arantza Delgado, Antonio Pellicer, Marcos Meseguer","doi":"10.1016/j.fertnstert.2024.10.006","DOIUrl":"10.1016/j.fertnstert.2024.10.006","url":null,"abstract":"<p><strong>Objective: </strong>To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.</p><p><strong>Design: </strong>Retrospective cohort study.</p><p><strong>Setting: </strong>Clinic.</p><p><strong>Patients: </strong>A total of 6,434 patients undergoing 7,352 IVF treatments contributed 70,456 embryos.</p><p><strong>Intervention: </strong>Embryos were evaluated by conventional morphology and retrospectively scored using a fully automated deep learning-based algorithm across conventional IVF, oocyte donation, and preimplantation genetic testing for aneuploidy (PGT-A) cycles.</p><p><strong>Main outcome measures: </strong>The primary outcomes were implantation and live birth, including odds ratios (ORs) from generalized estimating equation models. Secondary outcomes were embryo morphology, euploidy, and miscarriage. Exploratory outcomes included a comparison between conventional methodology and artificial intelligence algorithm with areas under the receiver operating characteristics curves (AUCs), agreement degree between artificial intelligence and embryologists, Cohen's Kappa coefficient, and relative risk.</p><p><strong>Results: </strong>Implantation and live birth rates increased as the automatic embryo scores increased. The generalized estimating equation model, controlling for confounders, showed that the automatic score was associated with an OR of 1.31 (95% confidence interval [CI], 1.25-1.36) for implantation in treatments using oocytes from patients and an OR of 1.17 (95% CI, 1.14-1.20) in the oocyte donation program, with no significant association with PGT-A treatments. For live birth, the ORs were 1.27 (95% CI, 1.21-1.33) for patients, 1.16 (95% CI, 1.13-1.19) for donors, and 1.05 (95% CI, 1-1.10) for PGT-A cycles. The average score was higher in embryos with better morphology, in euploid embryos compared with aneuploid embryos, and in embryos that resulted in a full-term pregnancy compared with those that miscarried. Concordance between the highest-scoring embryo and the embryo with the best conventional morphology was 71.4% (95% CI, 67.7%-75.0%) in treatments with patient oocytes and 61.0% (95% CI, 58.6%-63.4%) in the oocyte donation program. Overall, the Cohen's Kappa coefficient was 0.63. The automatic embryo score showed similar AUCs to conventional morphology, although implantation was higher when the transferred embryo matched the highest-scoring embryo from each cohort (57.36% vs. 49.98%). Relative risk indicated a 1.14-fold increase in implantation likelihood when the top-ranked embryo was transferred.</p><p><strong>Conclusions: </strong>A fully automated embryo scoring system effectively ranked embryos based on their potential for implantation and live birth. The performance of the conventional methodology was comparable to that of the artificial intelligence-based technology; however, better clinical outcomes were observed when the highest-scoring embryo in the cohor","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.fertnstert.2024.10.005
Andrew P Bradford, Thy Nguyen, Katherine Kuhn, Nanette Santoro
{"title":"Reply of the authors: evaluating the hormonal impact of high-fat diets: gaps in gonadotropin and adrenocorticotropic hormone responses and the need for detailed fat composition analysis.","authors":"Andrew P Bradford, Thy Nguyen, Katherine Kuhn, Nanette Santoro","doi":"10.1016/j.fertnstert.2024.10.005","DOIUrl":"10.1016/j.fertnstert.2024.10.005","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-11DOI: 10.1016/j.fertnstert.2024.10.004
Christina Wang, Yanhe Lue, Ronald S Swerdloff, Dayton Morris, Youngju Pak, Brian T Nguyen, Peter Y Liu, Mitchell D Creinin, Prasanth Surampudi, David Turok, Kenneth I Aston, Richard Anderson, John Reynolds-Wright, Stephanie T Page, John K Amory, Clint Dart, Jeffrey M Kroopnick, Min S Lee, Regine Sitruk Ware, Diana L Blithe
{"title":"Use of at-home sperm concentration testing in a male hormonal contraceptive efficacy clinical trial.","authors":"Christina Wang, Yanhe Lue, Ronald S Swerdloff, Dayton Morris, Youngju Pak, Brian T Nguyen, Peter Y Liu, Mitchell D Creinin, Prasanth Surampudi, David Turok, Kenneth I Aston, Richard Anderson, John Reynolds-Wright, Stephanie T Page, John K Amory, Clint Dart, Jeffrey M Kroopnick, Min S Lee, Regine Sitruk Ware, Diana L Blithe","doi":"10.1016/j.fertnstert.2024.10.004","DOIUrl":"10.1016/j.fertnstert.2024.10.004","url":null,"abstract":"","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142461576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-10DOI: 10.1016/j.fertnstert.2024.09.046
Steven R Smith, Joseph S Sanfilippo
The US Supreme Court's most recent Term illustrates the considerable influence the Court has on the practice of reproductive health providers and their patients. Cases included the availability of mifepristone and emergency-care abortions. In addition, the Court substantially changed its deference to administrative agencies (e.g., Food and Drug Administration, Centres for Medicare & Medicaid Services, and United States Department of Homeland Security) which will affect medical practice. National organizations of physicians and reproductive health providers (e.g., American College of Obstetricians and Gynecologists, American Society for Reproductive Medicine, and the Pro-Life Obstetricians and Gynecologists) now play an active role in communicating with the Court to affect the outcome of cases.
{"title":"The Supreme Court and reproductive medicine, 2024.","authors":"Steven R Smith, Joseph S Sanfilippo","doi":"10.1016/j.fertnstert.2024.09.046","DOIUrl":"10.1016/j.fertnstert.2024.09.046","url":null,"abstract":"<p><p>The US Supreme Court's most recent Term illustrates the considerable influence the Court has on the practice of reproductive health providers and their patients. Cases included the availability of mifepristone and emergency-care abortions. In addition, the Court substantially changed its deference to administrative agencies (e.g., Food and Drug Administration, Centres for Medicare & Medicaid Services, and United States Department of Homeland Security) which will affect medical practice. National organizations of physicians and reproductive health providers (e.g., American College of Obstetricians and Gynecologists, American Society for Reproductive Medicine, and the Pro-Life Obstetricians and Gynecologists) now play an active role in communicating with the Court to affect the outcome of cases.</p>","PeriodicalId":12275,"journal":{"name":"Fertility and sterility","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142406210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}