Faubion, Stephanie S.

Objectives: To investigate the association between hormone therapy use and severe outcomes due to COVID-19 in perimenopausal and postmenopausal women. Methods: Using the Rochester Epidemiology Project, we retrospectively searched for the records of women aged 40-65 years who had a documented case of COVID-19 between March 12 and September 29, 2020. We further identified those who were perimenopausal or postmenopausal. The rates of emergency department visits, hospitalizations, and deaths were compared by hormone therapy use. Logistic regression models were used to assess the odds of the combined outcome based on hormone therapy use. Results: Among the 689 patients included in this study, the median age was 56 years, and 77.5% were White. Compared with patients currently using hormone therapy, those with past/never use of hormone therapy were significantly older, had more risk factors for severe COVID-19, and had a higher incidence of diabetes. A total of 102 emergency department visits/hospitalizations/deaths occurred among both groups. Participants with current hormone therapy use had similar rates and risk of emergency department/hospitalization/death outcomes as those without hormone therapy, even after adjusting for age and severe COVID-19 risk factors. Conclusions: Severe COVID-19 outcomes were not significantly different between women with current versus past/never use of hormone therapy. Our study adds to the data suggesting no harm with hormone therapy use in women with severe symptoms of COVID-19.

Abstract Objective Perimenopause is an under-recognized transition poorly measured by existing tools, which often overlook symptoms characteristic of this phase. To address this, we developed and validated the Perimenopause Symptom Scale (Peri-SS): a concise, phase-specific, psychometrically robust instrument for digital self-assessment and research use among U.S. women aged 35-59 who self-reported in perimenopause. Methods We conducted a longitudinal validation study with 1,255 U.S. women aged 35-59 (633 identified as perimenopausal) recruited via Prolific. Participants completed the Peri-SS, Menopause Rating Scale (MRS), and EuroQol 5-Dimension, 5-Level (EQ-5D-5L) at baseline and 7-14 days later. Following COSMIN guidelines, we assessed structural validity, internal consistency, test-retest reliability, criterion and construct validity, and responsiveness to change. Results The Peri-SS demonstrated strong psychometric performance. Confirmatory factor analysis confirmed a four-domain structure (vasomotor, psychological, sexual, physical), with excellent model fit (CFI = 0.932, RMSEA = 0.069). Internal consistency was excellent (α = 0.90 overall; domain range 0.73-0.86), and test-retest reliability was high (ICC = 0.82). Criterion validity was strong, with Peri-SS scores highly correlated with MRS (r = 0.88). Construct validity was supported through moderate correlations with EQ-5D-5L utilities (ρ = -0.50) and effective discrimination between groups by age, menopausal status, and hormone therapy use. The scale was also responsive to symptom changes over time (η² = 0.277). Conclusions The Peri-SS is a reliable, valid, responsive tool for assessing perimenopausal symptom burden. Its concise format and strong psychometric performance make it well-suited for research, clinical care, and digital health applications. Two sentence summary The Perimenopause Symptom Scale (Peri-SS) is a novel 16-item instrument developed to measure symptom burden during perimenopause across four domains. In a validation study among U.S. women aged 35-59 years, the Peri-SS demonstrated strong reliability, validity, and responsiveness, supporting its use in research, clinical care, and digital health settings.

Abstract Context Endothelial dysfunction and altered psychological measures have been identified in women with functional hypothalamic amenorrhea (FHA). Estradiol (E2) replacement, a known vasodilator, may potentially reverse vascular dysfunction and improve psychological health. Objective To evaluate 12 weeks of physiologic E2 replacement on vascular, hormonal, and psychological outcomes in women with FHA. Methods A randomized, double-blind, placebo-controlled trial was conducted in 29 women with FHA with 0.1 mg/day transdermal E2 (n = 14) or placebo patch (n = 15) twice weekly for 12 weeks. FHA was defined as amenorrhea ≥3 consecutive months, E2 < 50 pg/mL, follicle-stimulating hormone (FSH) and luteinizing hormone (LH) <10 mIU/L, LH:FSH <1, excluding other etiologies. Endothelial dysfunction (reactive hyperemic index ≤ 1.67) was assessed, as were hormonal and psychological measures. Results Women with FHA had a mean age of 26.2 ± 6.3 years, body mass index of 21.5 ± 3.3 kg/m2, with 63% being non-Hispanic White. Baseline characteristics did not differ between groups. After 12 weeks, E2 levels were significantly higher in the E2 group (112.0 vs 36.5 pg/mL, P = .0002). However, there were no significant differences in vascular, hormonal, or psychological outcomes between E2 and placebo groups at week 12. Cortisol levels showed a near-significant decrease in the E2 group compared to an increase with placebo (−.4 vs 3.1 µg/dL, P = .05). Conclusion In women with FHA, 12 weeks of transdermal E2 increased serum E2 levels but did not improve vascular or psychological health measures. Further studies with larger sample sizes and longer follow-up are needed to explore the long-term effects of E2 therapy on cardiovascular and mental health outcomes in this population.

Abstract Femtech, a sector dedicated to the development of technologies addressing women's health issues, holds significant potential to revolutionize healthcare for women. This study provides an overview of current Femtech solutions tailored to meet the unique needs of women. It analyzes the present landscape, highlighting key areas where artificial intelligence (AI) and generative technologies have made substantial impacts. Furthermore, the study explores strategies to foster future growth and broader adoption of Femtech within the healthcare sector with a glance at Artificial Intelligence. The ultimate objective is to advance the development of more effective, personalized, accessible, and equitable healthcare solutions for women. The study will review and categorize 56 women’s health-related applications and devices currently available on the US market, identifying existing gaps and areas for potential improvement.

This work discusses nonhormonal treatment of menopausal vasomotor symptoms.

Abstract Introduction Female sexual dysfunctions (FSDs) are prevalent yet underrecognized concerns among menopausal women, particularly those aged 65 and older. Age- and menopause-related sexual health issues often go unaddressed due to societal stigma and misconceptions, leading many women to attribute their symptoms to a normal part of aging. This perception limits diagnosis and treatment of conditions like hypoactive sexual desire disorder and genitourinary syndrome of menopause. Objective This study aims to compare sexual function and distress between women aged 50-64 and those aged 65 and older, with a focus on addressing critical knowledge gaps in sexual function among older women. Methods This cross-sectional study included women aged 50 and above who visited Mayo Clinic Women’s Health Clinics in Rochester, MN; Scottsdale, AZ; and Jacksonville, FL between, May 1, 2015, and August 31, 2022. Participants completed the Female Sexual Function Index (FSFI) and Female Sexual Distress Scale (FSDS-R), along with assessments of chief sexual health complaints, mood (PHQ-9), and anxiety (GAD-7) included in the Data Registry on Experiences of Aging, Menopause, and Sexuality (DREAMS). Results Among 4900 women included in the analysis, the median number of sexual health complaints was 2.0 in midlife (50-64 yrs) and 1.0 in older (65+ yrs) age groups (p = 0.004). Chief complaints of loss of sexual desire (47.6% vs. 33.4%; p < 0.001) and reduced genital sensation (16.9% vs. 13.0%; p = 0.024) were more common in the midlife age group. No significant differences were found in rates of complaints of vaginal dryness (51.2% vs. 52.5%; p = 0.57), painful intercourse (32.6% vs 30.7%; p = 0.38), or of difficulties with arousal or orgasm (24.0% vs 20.8%; p = 0.09). Midlife age women were also more likely to report pelvic pain (6.7% vs. 4.5%; p = 0.050), while older women reported more genital pain (8.1% vs. 5.8%; p = 0.038). FSFI scores indicated age-related differences in desire (2.4 vs. 3.0; p < 0.001), lubrication (3.9 vs. 3.6; p < 0.001), and pain (4.8 vs. 4.0; p < 0.001), aligning with the chief complaints, while arousal (3.6, p = 0.890), orgasm (4.0, p = 0.926), and satisfaction (4.4, p = 0.346) scores were similar between groups. Total FSFI scores showed no significant difference between the age groups (total = 22.2 vs 21.2, p = 0.109). Median FSDS-R scores indicated higher distress in the midlife group (15.0 vs. 13.0; p = 0.015), while overall FSD prevalence (FSFI ≤26.55 and FSDS ≥11) was similar between groups (56.2% vs 51.8%; p = 0.056). Conclusions Midlife and older women were equally likely to experience FSD in women presenting to women’s health clinics, but older women reported less distress. These results are strikingly similar to previous research indicating that while older women have FSD, there is less distress associated with it. Raising awareness and promoting open dialogue can help older women recognize that their sexual health concerns are both valid and treatable, ultimately improving quality of life. Disclosure No.

Importance and Objective: Menopause is the natural cessation of ovarian function, typically occurring at a mean age of 52 years in the United States. Vasomotor symptoms (VMS; hot flashes and night sweats) affect over 75% of midlife women and typically last 7 to 9 years, with only 54% seeking medical attention. Although hormone therapy is the most effective treatment for VMS, <4% of women currently use it, primarily due to safety concerns. There is evidence that cognitive behavioral therapy (CBT) is an effective management strategy for VMS. Virtual reality (VR) has shown promise in delivering an immersive form of CBT for various medical conditions, including acute and chronic pain, sleep, and mood disorders, potentially overcoming barriers such as access and cost while improving quality of life. This narrative review aims to summarize the existing literature on VR for managing menopause symptoms. Methods: A comprehensive literature review was conducted through PubMed and Medline databases. The search focused on keyword combinations related to VR, artificial intelligence, and menopause symptoms. Discussion and Conclusion: The search yielded one study specifically targeting symptoms related to menopause. A pilot study (n = 42) evaluating an immersive VR and artificial intelligence intervention based on CBT and mindfulness techniques for managing hot flashes in women with breast or ovarian cancer demonstrated a significant reduction in frequency of hot flashes ( P < 0.01) and improvements in sleep quality, mood, anxiety, stress, and overall quality of life. However, these women experienced hot flashes that might have been associated with their cancer diagnosis or treatment rather than relating specifically to menopause, potentially limiting the generalizability of the findings to women with menopause symptoms. Although VR has shown effectiveness in delivering CBT for other conditions, there remains a significant gap in research on its specific use for menopause-related symptoms.

Abstract Objectives The aims of the study were to identify conditions diagnosed in at least 10% of midlife women living in the US upper midwest and to assess prevalence by age, race, ethnicity, and sociodemographic status. Methods The Rochester Epidemiology Project was used to conduct a cross-sectional prevalence study of 86,946 women between 40 and 59 years residing in a 27-county region of the United States on January 1, 2020. Diagnostic billing codes were extracted and grouped into broader condition categories using the Clinical Classification System Refined. The prevalence of 424 conditions was calculated by age, race, ethnicity, and area deprivation index quartiles. Logistic regression was used to examine associations between participant characteristics and conditions that affected 10% or more of the study population. Results Twenty-eight conditions affected ≥10% of women, and eight conditions increased by ≥45% between the ages of 40 and 59 (disorders of lipid metabolism, hypertension, sleep/wake disorders, thyroid disorders, esophageal disorders, osteoarthritis, tendon and synovial disorders, and menopausal disorders; all test for trend P < 0.01). Black women had a significantly higher prevalence of hypertension and esophageal disorders at all ages (adjusted P values <0.05). Women living in more deprived areas had a significantly higher prevalence of hyperlipidemia, hypertension, sleep/wake disorders, and esophageal disorders (adjusted P values <0.05). Women living in less deprived areas had a significantly higher prevalence of thyroid disorders at age 40 to 44 and menopausal disorders at ages 50 to 59 (adjusted P values <0.05). Conclusions These data suggest that additional attention should focus on Black women and women with a lower socioeconomic status to ensure that common midlife conditions are diagnosed and treated.