Current Advancements in Menopause Treatment and Management

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Obstetrics and Gynecology".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 776

Special Issue Editor


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Guest Editor
Menopause and Women’s Sexual Health Clinic, General Internal Medicine, Mayo Clinic, Rochester, MN, USA
Interests: menopause; hormone therapy; genitourinary syndrome of menopause; female sexual dysfunction; female pelvic floor dysfunction; resilience; mindfulness

Special Issue Information

Dear Colleagues,

Menopause, a by-product of longer human lifespans, can be a very challenging experience for some as it is often accompanied by the occurrence of vasomotor symptoms, sleep disturbance, vaginal dryness, and sexual dysfunction; 85 percent of women experience at least one of the symptoms which affects their quality of life. A greater concern is that 1 in 2 women develop osteoporosis later in menopause, and menopausal hormonal changes increase women’s risk of cardiovascular disease.

Fortunately, the last few years have witnessed a significant transformation in how we approach menopausal care. Three impactful changes sha** menopausal medicine are better information dissemination, innovation in drug development, and integration of artificial intelligence. Rapid growth in information access and open communications are hel** to normalize the menopausal experience and empowering women to make informed choices. The recent movement towards more equitable and democratized care is likely to expand this progress globally.

Innovation in drug development using computer-aided drug designs have resulted in more precise contender molecules and drugs. The recent approval of the neurokinin-3 receptor antagonist Fezolinetant for vasomotor symptoms is one such example of innovation positively impacting menopausal medicine.

Despite all such progress, many questions still remain unanswered. Can we predict who will have sustained debilitating hot flashes? Who will experience a premature menopause? We hope that these questions, and many more, could be answered in the coming years using machine learning and artificial intelligence as they have the potential to analyze large volumes of data, and eventually personalize menopause management.

In this context, we cordially invite scholars and experts to contribute their original research, review articles or meta-analyses to this Special Issue, ‘Current Advancements in Menopause Treatment and Management’.

Dr. Richa Sood
Guest Editor

Manuscript Submission Information

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Keywords

  • menopause
  • vasomotor symptoms
  • hormone therapy
  • tele-medicine
  • drug innovation
  • machine learning
  • artificial intelligence
  • cardiovascular
  • osteoporosis

Published Papers (1 paper)

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Research

10 pages, 684 KiB  
Article
DXA Android-to-Gynoid Ratio and Cardiovascular Risk Assessment in Age and BMI Propensity-Matched Early Postmenopausal Women
by Irina Manuela Nistor, Simona Fica, Sorina Carmen Martin, Theodor Mustata, Theodor Eugen Oprea, Anca Elena Sirbu and Carmen Gabriela Barbu
Medicina 2024, 60(7), 1096; https://doi.org/10.3390/medicina60071096 - 4 Jul 2024
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Abstract
Background and Objectives: The literature suggests that physiological menopause (MP) seems linked with increased adiposity with a preference for intra-abdominal fat accumulation, greater than what can be attributed only by aging, which could magnify this period’s increased cardiovascular risk. Materials and Methods [...] Read more.
Background and Objectives: The literature suggests that physiological menopause (MP) seems linked with increased adiposity with a preference for intra-abdominal fat accumulation, greater than what can be attributed only by aging, which could magnify this period’s increased cardiovascular risk. Materials and Methods: We retrospectively analyzed two age and body mass index (BMI) propensity-matched subgroups each formed of 90 clinically healthy, 40–60-year-old postmenopausal women, within the first 5 and 5–10 years of MP. The 10-year ASCVD risk was assessed using medical history, anthropometric data, and lipid profile blood tests. The android-to-gynoid (A/G) ratio was computed using Lunar osteodensitometry lumbar spine and hip scans. Results: The A/G ratio was significantly higher for the subgroup evaluated in years 5–10 of MP than in the first 5 years of MP, even after controlling for BMI (1.05 vs. 0.99, p = 0.005). While displaying a significant negative correlation with HDL cholesterol (r = 0.406), the A/G ratio also had positive correlations with systolic blood pressure (BP) values (r = 0.273), triglycerides (r = 0.367), and 10-year ASCVD risk (r = 0.277). After adjusting for smoking, hypertension treatment, and type 2 diabetes, the 10-year ASCVD risk became significantly different for women in the first 5 years (3.28%) compared to those in years 5–10 of MP (3.74%), p = 0.047. Conclusions: In women with similar age and BMI, the A/G ratio appears to vary based on the number of years since menopause onset and correlates with either independent cardiovascular risk parameters like BP, triglycerides, and HDL cholesterol or with composite scores, such as 10-year ASCVD risk. Full article
(This article belongs to the Special Issue Current Advancements in Menopause Treatment and Management)
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