Shufelt, Chrisandra

Background Menopause-related symptoms are common but undertreated. Digital tools that support symptom assessment and patient education may improve engagement. Objective To assess whether a previsit digital menopause symptom assessment and education tool increased treatment initiation and patient engagement compared to an educational pamphlet. Design Women aged 45–55 years with upcoming primary care appointments were invited to participate. Those with a total Menopause Rating Scale (MRS) score ≥5 indicating bothersome menopause symptoms were included. Participants were randomized to a digital menopause symptom assessment tool or a digital educational pamphlet and completed a post-visit survey (NCT06919887). Participants Of the 14,726 women invited to participate between May 12, 2025, and December 5, 2025, there were 653 (4.4%) enrolled that met eligibility criteria. Interventions Randomized to an mHealth app called emmii or a standard digital menopause educational pamphlet. Main measures Menopause treatment initiation within 30 days of the clinical visit was assessed by electronic health data. Baseline and post-visit surveys were collected assessing patient experience, engagement, and perceived usefulness. Rates of menopause hormone therapy (HT) prescribing were compared with a reference population of nonparticipants aged 45–55 who had a primary care appointment at Mayo Clinic during the same period and received no study education materials. Key results Of 653 participants enrolled and randomized, 383 completed both the baseline and post-surveys (171 intervention and 212 control). HT initiation among study participants was significantly higher than in the reference population of women (9.3% vs. 4.4%, p < 0.001). There was no difference in HT initiation between the intervention (9.1%) and control groups (9.6%) ( p = 0.83). Initiation rates were 3.8% and 4.5%, respectively ( p = 0.64) for nonhormone therapies. Conclusions Among women with bothersome menopause symptoms, those who underwent previsit symptom screening and received educational materials had higher rates of HT initiation than women who did not participate in the study. These findings suggest that structured menopause education may improve recognition and management of menopause symptoms in routine clinical practice.

Background Premature and early menopause involve ovarian hormone deprivation, which may contribute to later-life vulnerability to cognitive decline and neurodegenerative diseases. Multimodal neuroimaging biomarkers provide a means of detecting structural, microstructural, functional, and molecular brain changes before clinical symptoms emerge. Methods Following PRISMA guidelines, we conducted a systematic search of PubMed. Study quality was assessed using the Newcastle–Ottawa Scale. Results Neuroimaging modalities included in vivo structural magnetic resonance imaging (MRI) ( n = 16), functional MRI ( n = 2), diffusion tensor imaging ( n = 4), and positron emission tomography ( n = 3). Women with premature or early menopause showed regionally specific structural and microstructural brain abnormalities, including lower gray-matter volume or cortical thickness in medial temporal, frontal, and basal forebrain regions; white-matter microstructural abnormalities in the anterior corona radiata, corpus callosum, and fronto-occipital tracts; and reduced posterior hippocampal activation during memory encoding. In one study, earlier age at menopause was associated with higher amyloid- β (Aβ) burden in women who underwent premenopausal bilateral oophorectomy (PBO), and elevated tau deposition was reported predominantly among women with higher Aβ levels. Conclusion Converging multimodal neuroimaging evidence suggests that premature and early menopause may be associated with Alzheimer’s disease-relevant brain changes. However, findings remain heterogeneous, and longitudinal studies are needed to clarify the temporal relationships between ovarian hormone deprivation and neurodegeneration, and to determine the clinical implication of these findings.

Introduction Functional hypothalamic amenorrhea (FHA) accounts for 30% of secondary amenorrhea and is characterized by hypothalamic hypercortisolemia, hypothalamic hypothyroidism, and anovulation with hypoestrogenemia due to disrupted GnRH drive. While FHA is associated with decreased bone mineralization; it remains unclear how bone health compares to menopausal women, who also experience bone loss. This study compared dual-energy x-ray absorptiometry (DXA) bone health parameters among women with FHA, eumenorrheic controls, and recently menopausal women. It also examined the impact of prior combined oral contraceptive (COC) use on bone mineral density (BMD) in women with FHA. Methods This cross-sectional study included 20 women with FHA, 9 eumenorrheic controls, and 12 recently menopausal women who underwent hip and spine DXA. None of the participants were taking hormone therapy. FHA was defined as ≥3 months of amenorrhea, estradiol <50 pg/ml, FSH and LH <10 mIU/L, excluding other etiologies. DXA bone parameters were measured using Lunar iDXA (GE) including BMD from lumbar spine (L1-L4) and hip. Results By design, age differed significantly across groups (p < 0.0001), with median ages of 27.8 years [23.4, 34.1] in women with FHA, 29.6 years [28.3, 32.4] in eumenorrheic controls, and 55.3 years [53.5, 56.6] in recently menopausal women. There were no significant differences in weight or BMI across groups. Significant differences were observed at all measured skeletal sites, including all lumbar spine levels, femur neck, total femur, and total BMD (all p < 0.05). Pairwise comparisons revealed that lumbar spine BMD was significantly lower in FHA compared to eumenorrheic controls (p = 0.04), while FHA and menopausal women did not significantly differ from each other (p = 0.07). Among FHA women with prior COC use, L1–4 BMD was not significantly different from controls (p = 0.19). Conclusions Lumbar spine BMD in young women with FHA was comparable to that of recently menopausal women, highlighting the profound skeletal impact of chronic estrogen deficiency. Prior COC use may partially attenuate FHA-associated bone loss, though larger studies are needed to confirm this observation. Future studies should explore whether skeletal outcomes vary by FHA etiology and the potential role of COC duration in preserving BMD.

Objectives: Psychological health changes are known to occur during perimenopause, but the extent to which these differ from premenopause remains unclear. This study aimed to assess psychological symptoms during perimenopause compared with premenopause and evaluate differences by country. Methods: Flo app users aged 35 years or above not taking hormonal contraception or hormone therapy were included. The psychological domain of the Menopause Rating Scale (range 0-16) and symptoms within this domain of depressive mood, irritability, anxiety, and exhaustion (range 0-4 each) were evaluated. Participants in perimenopause were compared with those in premenopause (self-reported not in perimenopause or postmenopause). Results: A total of 7,975 women were included, with 2,353 in perimenopause (mean age 45 years [SD±4.5]) and 5,622 in premenopause (39 y [SD±4.0]). Psychological Menopause Rating Scale scores in the perimenopause group were significantly higher (7.3 [SD±3.56]) than in the premenopause group (4.8 [SD±3.56]; P <0.001). The individual symptoms of depressive mood, irritability, anxiety, and exhaustion were also higher in the perimenopause group ( P <0.001, for all respectively), with the largest difference being exhaustion. These findings remained after adjusting for known confounders, including an existing diagnosis of anxiety or depression. Geographic analysis included 20 countries across 6 continents, with significant differences identified between countries for the overall psychological symptom domain score and all individual symptoms. Conclusion: Significantly greater psychological symptom burden was identified in the perimenopause group compared with the premenopause group, with the greatest difference noted for the individual symptom of exhaustion. Differences in symptom burden were also identified by country.

Importance and Objective: Sexual health is a multidimensional aspect of women’s well-being. It is particularly vulnerable during midlife, when the physiological and psychosocial changes of the menopause transition intersect with the growing burden of obesity. Glucagon-like peptide-1 (GLP-1) receptor agonists have emerged as highly effective pharmacologic treatments for obesity, yet their effects on female sexual function remain largely uncharacterized. This review aims to discuss the interplay among obesity, midlife, obesity treatments, and female sexual health, with a focused synthesis of available evidence on GLP-1–based therapies and sexual outcomes in women. Methods: This narrative review synthesizes preclinical studies, case reports, observational data, and clinical trials identified through PubMed searches from inception through March 2026, examining female sexual function in the context of obesity, the menopause transition, obesity treatments, and GLP-1 receptor agonist therapy. Discussion and Conclusion: Obesity impairs female sexual function through hormonal, vascular, and psychosocial mechanisms. Accordingly, lifestyle interventions and bariatric surgery have demonstrated meaningful improvements in sexual function. In contrast, GLP-1 receptor agonists, despite conferring substantial weight loss and favorable metabolic effects, may paradoxically suppress sexual desire and arousal through central neuroendocrine mechanisms, including the modulation of dopaminergic reward and serotonergic signaling. While emerging case reports and preclinical data support this concern, systematic clinical evidence remains limited, highlighting the need for prospective studies with longitudinal sexual function endpoints. In this context, clinicians should proactively assess sexual function before and during GLP-1 therapy using validated instruments and integrate sexual health into comprehensive obesity care for midlife women.

Objective: Perimenopause is an under-recognized life stage that is often accompanied by complex and fluctuating symptoms. We aimed to quantify the prevalence of perimenopause uncertainty and explore the underlying drivers. Methods: We conducted a mixed-methods study using a cross-sectional survey of US women aged 35 years and above (N=7,640). We estimated the prevalence of perimenopause uncertainty and examined subgroup differences by age and symptom severity. Content analysis of free-text responses (n=409) identified key uncertainty drivers. Results: Overall, 34% (95% CI: 33%-35%) of participants reported being unsure of their reproductive stage. Uncertainty varied by age and symptom severity ( P < 0.001), peaking at 42% (95% CI: 41%-43%) among those aged 40-44 and 37% (95% CI: 36%-38%) among those with severe symptom burden. Content analysis revealed three main uncertainty drivers. Symptom confusion and attribution were the most common (56%), reflecting difficulties interpreting bodily changes and distinguishing perimenopause from other causes. Knowledge gaps and information seeking accounted for 28% of responses, highlighting limited health literacy, age-based assumptions, and active searches for evidence. Barriers to confirmation and care (16%) described dismissive health care encounters and reluctance to acknowledge perimenopause. Younger women (35-39 y) were more likely to cite knowledge gaps, while health care barriers peaked in the 40-44 age group ( P = 0.05). Conclusion: Perimenopause uncertainty is a prevalent and clinically meaningful phenomenon. Conceptually distinct from illness-focused uncertainty, this universal transition frequently involves ambiguity and limited validation. Clarifying symptom patterns, addressing knowledge gaps, and reducing barriers to confirmation may support women during perimenopause.

ABSTRACT Objective This study assessed the impact of sex and age on weight loss outcomes in patients receiving tirzepatide in real‐world clinical practice. Methods We conducted a retrospective cohort study of adults with overweight or obesity who initiated tirzepatide at Mayo Clinic between June 2022 and May 2024 and completed ≥ 12 months of continuous therapy. Primary outcome was total body weight loss percentage (TBWL%) at 15 months, stratified by sex and age groups (≤ 45, 46–59, ≥ 60 years). Results Among 1039 patients (57% women; mean age 56 ± 11 years), women achieved significantly greater TBWL% than men after 15 months of treatment (15.1% vs. 10.7%, p < 0.001). Patients aged ≤ 45 years had greater weight loss than those ≥ 60 years (15.1% vs. 12.3%, p = 0.024). In multivariable analyses, greater weight loss was independently associated with female sex, absence of type 2 diabetes, no prior obesity medication use, no concomitant weight gain‐promoting medications, and higher tirzepatide dosage. Age was not an independent predictor. Conclusions Sex, but not age, predicted weight loss with tirzepatide among individuals using the medication continuously for ≥ 12 months. These findings underscore the importance of incorporating sex‐specific considerations into personalized obesity treatment strategies.

Introduction To assess and compare the accuracy, readability, and overall performance of large language models (LLMs) in answering questions about functional hypothalamic amenorrhea (FHA) for patients and healthcare professionals. Methods A total of 11 patient-level and 15 clinician-level FHA-related questions were entered separately into four LLMs: ChatGPT 3.5 (free version), ChatGPT 4.0 (updated, paid subscription), Gemini, and OpenEvidence. OpenEvidence was used only for clinician-based questions. Responses were evaluated by three expert reviewers blinded to the LLM used who rated them as accurate and complete, accurate but incomplete, or inaccurate. A fourth reviewer resolved discordant scores. Readability for patient-level questions was assessed using the Flesch Reading Ease Score (FRES) and word count. Lower FRES scores indicate more difficult reading. Accuracy and completeness were compared using odds ratios (95% CI) with ChatGPT 3.5 as the reference model, and differences in readability were analyzed using Friedman’s test. Results LLM performance varied across question types. For patient-level questions, ChatGPT 4.0 achieved the highest accuracy (9 of 11; 82%), followed by ChatGPT 3.5 and Gemini (each 8 of 11; 73%), with no statistically significant differences. Among clinician-level questions, OpenEvidence demonstrated perfect accuracy (15 of 15; 100%), compared with 93% for and 80% for ChatGPT 4.0 and Gemini. Completeness followed similar patterns, with OpenEvidence providing the most complete clinician responses (93%) and ChatGPT 4.0 the most complete patient-level responses (89%). Readability differed significantly among models ( p = 0.012), with Gemini producing the most readable patient-level content (median FRES 43.5 [IQR 36.8–53.4]) compared with ChatGPT 3.5 (30.6 [16.8–48.4]) and ChatGPT 4.0 (28.8 [22.1–37.6]). Word counts did not differ significantly ( p = 0.39). Discussion LLMs demonstrated good overall performance in answering FHA-related questions but often provided incorrect or incomplete information. Fine tuning field-specific data, engineered prompts, and obtaining human-in-the-loop feedback may help improve the accuracy of these models.

Abstract Background Wide-spread mast cell (MC)-associated symptoms and MC activation syndrome (MCAS) are often reported in patients with hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD). The goal of this study was to develop a novel MC score based on 11 self-reported MC-related conditions with clinical and research utility to better understand MC symptoms in hEDS and HSD patients. Methods From November 1, 2019, to June 13, 2025, patients ( n =2,141) filled out an Intake Questionnaire at the Mayo Clinic Florida EDS Clinic that included 11 self-reported questions related to categories of MC-related conditions for a MC score ranging from 0/11 to 11/11. Based on the MC score distribution in hEDS and HSD patients, a MC score of 0-1 was considered a low MC score and ≥5 was considered a high MC score. Symptoms/comorbidities were compared between patients with high vs. low MC scores. Results From the 2,141 hEDS/HSD patients, 535 (25.0%) had a MC score ≥5 (Hi MC). MCAS-specific symptoms such as nausea and vomiting were reported more often in hEDS/HSD patients with a high vs. low MC score ( p <0.0001). Random clinical blood tryptase and urinary MC markers were not elevated in patients with high MC scores ( n =50/group), although high MC scores were found to significantly reduce urinary creatinine levels indicating that the protein used to normalize data was affected by MC activity. In contrast, random blood IgE, tryptase and major basic protein (MBP) by ELISA were increased in patients with high MC scores (e.g., IgE hEDS p =0.0004, HSD p =0.003). Of note, the percentage of patients reporting abuse or post-traumatic stress disorder was nearly doubled in patients with high vs. low MC scores (Abuse and PTSD: hEDS p < 0.0001; HSD p < 0.0001). Overall, 109/135 (80.7%) in hEDS and 129/135 (95.6%) in HSD reported more symptoms/comorbidities if they had a high MC score. Conclusions We found that hEDS/HSD patients with high MC scores self-reported more widespread symptoms/comorbidities and higher MC-related blood markers than patients with low MC scores indicating the utility of this tool to evaluate the level of widespread MC activity in hEDS, HSD and other patients.