PCOS Awareness Month: OVUM’s Highlights from the Past Year

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Written by Emma Carter, BA (Hons). Reviewed by Dr. Sarah Collins. Dr. Sarah has been practicing medicine since 2013, specializing in Obstetrics and Gynecology with a focus on fertility. Her extensive experience includes a clinical fellowship in Reproductive Medicine at a top-tier fertility clinic in London. Now a Consultant at the London Women’s Clinic, she has contributed to numerous articles, presented at international conferences, and participated in fertility trials for women experiencing adenomyosis. As Co-Chief Medical Officer at OVUM, Dr. Sarah is dedicated to providing personalized, evidence-based care to couples facing fertility challenges.

Overview:

  • Understanding PCOS as a broad condition.
  • The role of AI in enhancing the speed and accuracy of PCOS diagnosis.
  • The movement towards rebranding PCOS for a better comprehension of its widespread impacts.
  • Exploring the potential of GLP-1 RAs in addressing symptoms for those with PCOS, while advocating for cautious application.

Introduction: A Look at PCOS

PCOS, or Polycystic Ovary Syndrome, affects about 6-13% of women in their reproductive years. The NHS defines it as having at least two of the following symptoms:

  • Irregular periods
  • Excess androgen
  • Polycystic ovaries

However, the understanding of PCOS extends beyond these markers. It’s essential to view it as a systemic condition that encompasses broader hormonal imbalances, reproductive and cardiovascular health issues, insulin resistance, and a heightened risk of obesity.

In honor of PCOS Awareness Month this September, we’ve gathered three of the most promising advancements in the treatment and diagnosis of PCOS from the past year.

1. AI’s Contribution to PCOS Developments

AI has made waves across various sectors, and its potential in women’s health—especially in the underfunded area of PCOS—is finally gaining attention. A systematic review by the National Institute of Health, evaluating 31 studies, highlighted the application of AI in diagnosing and classifying PCOS. By analyzing patterns from ultrasound images, hormone levels, and symptoms, AI can predict PCOS with an accuracy of 80% to 90%. Considering that many individuals experience lengthy delays in diagnosis (with 34% waiting over two years), AI could drastically enhance the efficiency of identifying and supporting those affected by PCOS.

2. Rethinking the Conversation Around PCOS

This year, a comprehensive global consultation studied perceptions of PCOS through online surveys and workshops. Engaging individuals with PCOS and healthcare professionals from six continents yielded promising results. There’s a growing acknowledgment of PCOS’s diverse effects, including hormonal and cardiometabolic issues. However, significant gaps in knowledge remain. Interestingly, over 85% of patients and 75% of healthcare experts support the idea of renaming PCOS to better reflect its complex nature.

3. The Promise of GLP-1 RAs for PCOS Symptoms

GLP-1 Receptor Agonists (GLP-1 RAs) have emerged as a potential treatment for managing symptoms related to PCOS. While they hold promise, it’s crucial to approach this option with caution and a comprehensive understanding of individual needs.

For those looking to explore more on home insemination, check out this post, Third Time’s a Charm for Mamas-to-Be with a Little Help from Make a Mom. Additionally, if you want to dive deeper into the topic, visit BabyMaker’s at Home Insemination Kit, an authority in this field, or read about What the IVF Process is Really Like, which is an excellent resource for pregnancy and home insemination.

Summary

PCOS Awareness Month serves as a crucial reminder of the evolving landscape surrounding Polycystic Ovary Syndrome. With advancements in AI technology aiding diagnosis, a push for rebranding the condition, and promising treatments on the horizon, there’s hope for those affected by PCOS. As we continue to raise awareness and improve understanding, we move closer to effective solutions and support for individuals facing this complex condition.