Seminars in reproductive medicine最新文献_第3页

Impact of Systemic Lupus Erythematosus on Conception: Insights into Infertility, Fertility Preservation, Assisted Reproductive Technology, and Pregnancy Outcomes. 系统性红斑狼疮对受孕的影响：对不孕症、生育能力保存、辅助生殖技术和妊娠结局的见解。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-12-12 DOI: 10.1055/s-0044-1793827

Amanda Moyer, Cuoghi Edens

引用次数: 0

A Review of Celiac Disease and Its Implications on Fertility and Pregnancy. 乳糜泻及其对生育和怀孕的影响综述。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-10-21 DOI: 10.1055/s-0044-1791703

Alexandra France, Amulya Penmetsa

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Autoimmunity in Reproduction. 生殖中的自身免疫

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-12-12 DOI: 10.1055/s-0044-1792088

Kathleen M Hoeger, Terhi T Piltonen

引用次数: 0

Inflammatory Bowel Disease and Reproductive Health: A Focus on Pregnancy Planning and Outcomes. 炎症性肠病与生殖健康：关注怀孕计划和结果。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-10-11 DOI: 10.1055/s-0044-1791725

Sahaj Mujumdar, Michelle D'Souza, Maisa I Abdalla

引用次数: 0

Rheumatoid Arthritis and Pregnancy: Managing Disease Activity and Fertility Concerns. 类风湿性关节炎与怀孕：管理疾病活动和生育问题。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-10-28 DOI: 10.1055/s-0044-1790255

Daniele Marcy, JoAnn Zell, M Kristen Demoruelle

引用次数: 0

Type 1 Diabetes and Pregnancy: Challenges in Glycemic Control and Maternal-Fetal Outcomes. 1 型糖尿病与妊娠：血糖控制和母胎结局的挑战。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-09-01 Epub Date: 2024-10-08 DOI: 10.1055/s-0044-1791704

Tejumola Apata, Dennis Samuel, Laticia Valle, Sarah D Crimmins

{"title":"Type 1 Diabetes and Pregnancy: Challenges in Glycemic Control and Maternal-Fetal Outcomes.","authors":"Tejumola Apata, Dennis Samuel, Laticia Valle, Sarah D Crimmins","doi":"10.1055/s-0044-1791704","DOIUrl":"10.1055/s-0044-1791704","url":null,"abstract":"Managing type 1 diabetes during pregnancy presents significant challenges due to physiological and hormonal changes. These factors contribute to major changes in insulin sensitivity, complicating efforts to achieve and sustain optimal blood glucose levels. Poorly controlled glucose levels during pregnancy can result in diabetic embryopathy and elevate the risks of maternal complications such as hypertensive disorders and diabetic ketoacidosis. Fetal complications may include preterm birth, fetal demise, and admission to neonatal intensive care units. It is essential to recognize that there is no universal approach to managing glycemic control in pregnant women with T1DM and care should be individualized. Effective management requires a multidisciplinary approach involving regular monitoring, adjustments in insulin therapy, dietary modifications, and consistent prenatal care. Continuous glucose monitoring has emerged as a valuable tool for real-time glucose monitoring, facilitating tighter glycemic control. Education and support for self-management are important in addressing these challenges. Future developments in technology and personalized approaches to care show promising potential for advancing diabetes management during pregnancy. This provides a comprehensive overview of current literature on the challenges with the management of T1DM during pregnancy, focusing on its impact on maternal and neonatal outcomes and highlighting effective strategies for achieving optimal glycemic control.","PeriodicalId":21661,"journal":{"name":"Seminars in reproductive medicine","volume":" ","pages":"239-248"},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142393064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Digital Health Interventions on Birth Equity: A Review. 数字健康干预对出生公平的影响：综述。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-06-01 Epub Date: 2024-09-30 DOI: 10.1055/s-0044-1791206

Shannon Malloy

{"title":"Impact of Digital Health Interventions on Birth Equity: A Review.","authors":"Shannon Malloy","doi":"10.1055/s-0044-1791206","DOIUrl":"10.1055/s-0044-1791206","url":null,"abstract":"The rise in smartphone utilization and technology uptake has popularized digital health interventions as a means of supporting healthy pregnancies and optimizing maternal and child health. Digital health interventions include several modalities, such as telemedicine, remote patient monitoring, smartphone applications, web-based interventions, wearables, and health information technology. However, the impact of these interventions on improving maternal and infant health outcomes by race and socioeconomic status to achieve birth equity is unknown. This review summarizes current literature on the impact of digital health interventions on the outcomes of communities of color and lower socioeconomic status in the United States. We demonstrate there is emerging evidence of the impact of digital health interventions on maternal health outcomes, particularly for telemedicine, but evidence specifically focused on assessing outcomes by race and ethnicity and for other modalities, like mHealth apps or wearables, is limited. Digital health interventions may play a part in birth equity initiatives, but should not be considered a standalone solution, and instead should be integrated into other existing efforts to achieve birth equity, like diversifying the clinician workforce, expanding access to high-quality prenatal and postpartum care, or delivering respectful maternity care.","PeriodicalId":21661,"journal":{"name":"Seminars in reproductive medicine","volume":" ","pages":"140-150"},"PeriodicalIF":1.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142353162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Helping Patients to Predict and Confirm Ovulation with the Use of Combined Urinary Hormonal and Smartphone Technology: A Proof-of-Concept Retrospective Descriptive Case Series. 利用尿液荷尔蒙和智能手机技术帮助患者预测和确认排卵：概念验证回顾性描述性病例系列。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-06-01 Epub Date: 2024-10-08 DOI: 10.1055/s-0044-1791702

Rene Leiva, Rene Ecochard

{"title":"Helping Patients to Predict and Confirm Ovulation with the Use of Combined Urinary Hormonal and Smartphone Technology: A Proof-of-Concept Retrospective Descriptive Case Series.","authors":"Rene Leiva, Rene Ecochard","doi":"10.1055/s-0044-1791702","DOIUrl":"10.1055/s-0044-1791702","url":null,"abstract":"Smartphone-based fertility awareness methods with home-based urinary hormonal testing are gaining popularity for fertility tracking. In our university-affiliated family practice, we integrated a previously developed ovulation tracking application into a protocol for monitoring urinary sex hormones and cervical secretions. Serum progesterone was used to confirm the luteal phase, with levels ≥ 15.9 nmol/L ensuring confirmation. Data from 110 women seen for infertility treatment (n = 95) or family planning advice (n = 15) and using our ovulation prediction protocol showed that most opted for a combination of cervical mucus and luteinizing hormone testing (n = 86). Among those using it for family planning, the median usage among women spanned 56 cycles, and 13 cycles per woman required progesterone testing for confirmation. Thirteen patients are still using the method without unintended pregnancies. No unintended pregnancies occurred. Confidence in tests based on serum progesterone was high (93%). For infertility, the method helped in the identification of anovulation, evaluating treatment response, and in diagnosing subfertility causes. This proof-of-concept retrospective descriptive case series suggests the potential for smartphone-based monitoring in fertility management, urging further studies for application enhancements and prospective validation.","PeriodicalId":21661,"journal":{"name":"Seminars in reproductive medicine","volume":" ","pages":"90-99"},"PeriodicalIF":1.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142393062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist. 为实用主义者提供以患者为中心的体外受精预后咨询（使用机器学习）。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-06-01 Epub Date: 2024-10-08 DOI: 10.1055/s-0044-1791536

Mylene W M Yao, Julian Jenkins, Elizabeth T Nguyen, Trevor Swanson, Marco Menabrito

{"title":"Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist.","authors":"Mylene W M Yao, Julian Jenkins, Elizabeth T Nguyen, Trevor Swanson, Marco Menabrito","doi":"10.1055/s-0044-1791536","DOIUrl":"10.1055/s-0044-1791536","url":null,"abstract":"Although in vitro fertilization (IVF) has become an extremely effective treatment option for infertility, there is significant underutilization of IVF by patients who could benefit from such treatment. In order for patients to choose to consider IVF treatment when appropriate, it is critical for them to be provided with an accurate, understandable IVF prognosis. Machine learning (ML) can meet the challenge of personalized prognostication based on data available prior to treatment. The development, validation, and deployment of ML prognostic models and related patient counseling report delivery require specialized human and platform expertise. This review article takes a pragmatic approach to review relevant reports of IVF prognostic models and draws from extensive experience meeting patients' and providers' needs with the development of data and model pipelines to implement validated ML models at scale, at the point-of-care. Requirements of using ML-based IVF prognostics at point-of-care will be considered alongside clinical ML implementation factors critical for success. Finally, we discuss health, social, and economic objectives that may be achieved by leveraging combined human expertise and ML prognostics to expand fertility care access and advance health and social good.","PeriodicalId":21661,"journal":{"name":"Seminars in reproductive medicine","volume":" ","pages":"112-129"},"PeriodicalIF":1.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142393063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the Strengths and Limitations of Online Oocyte Cryopreservation Calculators. 了解在线卵母细胞冷冻保存计算器的优势和局限性。

IF 1.9 3区医学

Seminars in reproductive medicine Pub Date : 2024-06-01 Epub Date: 2024-07-10 DOI: 10.1055/s-0044-1788030

Amber T Wolf, Evelyn Minis, Shruthi Mahalingaiah

{"title":"Understanding the Strengths and Limitations of Online Oocyte Cryopreservation Calculators.","authors":"Amber T Wolf, Evelyn Minis, Shruthi Mahalingaiah","doi":"10.1055/s-0044-1788030","DOIUrl":"10.1055/s-0044-1788030","url":null,"abstract":"Between 2010 and 2016, elective oocyte cryopreservation (OC) increased in use by 880% in the United States; however, there have been increasing reports of regret among patients after elective OC. There is a growing need for individualized counseling on the timing and number of oocytes to cryopreserve for patients to make informed choices and set realistic expectations, but currently available tools seem to be insufficient. The purpose of this review is to describe the OC calculators currently available online, identify sources of regret, and illustrate the need for unified counseling tools for improved patient care and education. OC calculators were identified via Google search. Only calculators that cite scientific literature were included in the review. Calculators for in vitro fertilization or embryo transfer were excluded. Thirteen OC calculators were found; however, only six cited literature supporting the calculator's design. When entering the same hypothetical patient parameters for age and number of oocytes cryopreserved, the calculators provided drastically different probabilities of live births. The lack of cohesive online educational materials creates confusion and stress for patients considering OC, leading to unrealistic expectations and increased feelings of regret thereafter. Physicians need tools to provide comprehensive guidance to patients seeking to cryopreserve oocytes.","PeriodicalId":21661,"journal":{"name":"Seminars in reproductive medicine","volume":" ","pages":"130-139"},"PeriodicalIF":1.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141580755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0