Seminars in reproductive medicine最新文献

Rheumatoid arthritis (RA) is a systemic autoimmune disease that more commonly affects women, including many women during the childbearing years. This can make management challenging for practitioners involved in the care of these patients. This review article will discuss the available data and expert recommendations pertaining to women with RA who are pregnant or planning pregnancy. Herein, we will consider pregnancy complications associated with RA, the benefits of maintaining low disease activity prior to conception and throughout pregnancy, flare management during pregnancy, ensuring pregnancy-compatible medications to treat RA, and the reduced rates of fertility in patients with RA. While research in this area has greatly expanded over the past decade, it continues to be an area where more research is needed to best support women with RA as they navigate pregnancy.

Antiphospholipid syndrome (APS) is a disease characterized by the presence of antiphospholipid (aPL) antibodies, thrombosis, and obstetric complications. While patients with APS can have successful pregnancies, many important considerations exist. APS can also cooccur with other systemic autoimmune diseases which can affect pregnancy, particularly systemic lupus erythematosus. This article reviews specific considerations for pregnancy and reproductive health in patients with APS. Similar to other autoimmune diseases, stable or quiescent disease and planning with a rheumatologist and obstetrician prior to conception are vital components of a successful pregnancy. Pregnancy management for patients with aPL antibodies or diagnosis of APS with aspirin and/or anticoagulation depending on disease profile is discussed, as well as the effects of physiologic changes during pregnancy in maternal and fetal outcomes for this population. Given the reproductive span lasts beyond conception through delivery, we include discussions on safe contraception options, the use of assistive reproductive technology, pregnancy termination, menopause, and male fertility. While APS is a relatively rare condition, the effects this disease can have on maternal and fetal outcomes even with available therapies demonstrates the need for more high-quality, evidence-based research.

Celiac disease is a systemic autoimmune disorder triggered by dietary gluten ingestion. The classic clinical presentation is characterized by diarrhea with malabsorption and weight loss; however, the spectrum of possible initial symptoms is broad. Affected individuals may be asymptomatic or may suffer from extraintestinal manifestations that can include metabolic bone disorders, thyroid dysfunction, neurologic manifestations, amenorrhea, or impaired fertility. Several studies have demonstrated an association between celiac disease and infertility and worsened pregnancy outcomes. Numerous possible mechanisms through which celiac disease could be associated with women's fertility have been proposed in the literature.

Reproductive counseling is crucial for women's health, especially for those with inflammatory bowel disease (IBD), which often affects younger patients during their childbearing years. Patients with IBD need special considerations when planning for pregnancy. Preconception counseling is important as it helps patients make informed decisions about pregnancy and allows for optimal management of IBD before, during, and after pregnancy. In this review, we aim to provide guidance for managing and treating patients with IBD throughout the preconception, pregnancy, and postpartum period.

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.

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.

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.

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.

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.

Identified barriers to care for common, chronic conditions that impact millions of females suggest that patient education is critical to improving the care experience, expediting a diagnosis, and elevating outcomes. This article aims to understand the efficacy of digital patient education interventions on patient outcomes, specifically those addressing common causes of chronic abnormal uterine bleeding, premenstrual dysphoric disorder, and endometriosis. We queried MEDLINE, PubMed, Cochrane Library, and Google Scholar for articles published in English between January 1, 2014, and May 1, 2024, on digital patient education and urogenital diseases. The search identified 260 articles, 247 of which were retrieved for title and abstract review, 27 of which were retrieved for full-text review, and 25 of which were excluded. Two studies were included in this review. Both studies were individual-/community-level interventions involving digitally delivered patient education. Participants had received a diagnosis and were engaged in accessing care when enrolled, and each study was conducted at a single site. Both interventions produced positive results. Despite the potential of digital health education to improve patient outcomes, limited research in this field underscores the need for further studies to validate interventions and address gaps in knowledge.