Citations

Abstract Objectives The true clinical relevance of a sellar spine remains unclear because of limited available data. We aimed to describe the presentation and associated pituitary dysfunction among children and young adults with a sellar spine. Methods We retrospectively reviewed patients with a sellar spine found on brain imaging obtained in individuals less than 25 years of age. Extracted variables included age at initial brain imaging, indication for imaging, and pituitary dysfunction status and type. Results Eleven patients were included. Age at initial identification of a sellar spine ranged from 6 to 24 years. Indications for neuroimaging included headaches (n=3), seizures (n=2), precocious puberty (n=1), severe obesity with advanced bone age (n=1), suspected stroke/ataxia (n=1), nasal polyp evaluation (n=1), hypogonadotropic hypogonadism and secondary hypothyroidism (n=1), and as part of screening testing for Von Hipple Lindau (n=1). Pituitary stalk deviation was found in 7 patients (63.6 %). Pituitary gland distorted morphology leading to a misdiagnosis of pituitary adenoma found in 2 patients (18.2 %). Among younger children (n=5; age ≤9 years), precocious puberty occurred in one patient who demonstrated pituitary stalk deviation with an AP size-to-sella ratio of 0.5. Another child with stalk deviation did not develop precocious puberty. Pituitary hormone deficiency was identified in one patient (hypogonadotropic hypogonadism and hypothyroidism) with stalk deviation and AP size-to-sella ratio of 0.63. Conclusions The presence of a sellar spine can distort pituitary anatomy and result in diagnostic misclassification. Endocrinopathies may develop in some affected patients. Further, larger studies are warranted to better define the characteristics of sellar spine leading to endocrinopathies.

Young adult oncology guidelines recommend referring patients to specialists who are skilled in addressing their medical and psychosocial needs, but guideline implementation remains challenging. The single‐institution study by Lommer and colleagues enrolled breast oncology providers, young adult patients with breast cancer, and caregivers to identify priority areas for referrals and their timing. This editorial highlights that sending young adults for too many supportive care consults soon after their cancer diagnosis may add undesirable financial, emotional, and cognitive burden and that clinicians should consider which referrals are needed immediately and which can safely wait.

ABSTRACT Objective Pituitary carcinoma (PC) is defined by the presence of metastasis from a pituitary tumour. PC is rare, therefore information regarding survival and factors influencing survival are limited. We sought to assess overall survival following the diagnosis of PC and to determine factors associated with outcome. Design Retrospective case series. Patients Patients with PC who attended the Mayo clinic between 1997 and 2025. Measurements Information regarding patient demographics, tumour characteristics, management and outcomes were extracted. Results In total 25 patients (11 women, 44%) were diagnosed with PC (median age 56 years, range, 44–78). The most common cell type was a corticotroph tumour ( n = 15, 60%). All but one patient had pituitary directed surgery and all received pituitary adenoma (PA) directed radiation therapy. Metastases were identified a median 6 years (range, 1–32) after initial PA diagnosis. At last follow‐up, 10 (40%) patients were alive, 12 (48%) died of PC, and 3 (12%) died from other causes. The median survival time of patients from PC diagnosis was 3 years. The 1‐, 5‐ and 10‐year survival rates were 59%, 37% and 15%, respectively. Increased survival probability was associated with temozolomide treatment ( n = 9) at some point in treatment plan ( p = 0.026), the use of systemic therapy vs locoregional treatment ( p = 0.045), female sex ( p = 0.011), and in nonfunctional tumours ( p = 0.023). Conclusion PC carries a poor prognosis, with a median survival of only 3 years. Improved survival was associated with temozolomide exposure, female sex, and nonfunctional tumour subtype and underscores the prognostic relevance of tumour biology and treatment approach.

AI skill development is essential in health professions education (HPE), yet this type of faculty development is complex to design and implement. While competency frameworks and AI education programs are emerging, many faculty developers are themselves still building AI literacy and confidence, and practical guidance for how to design a faculty development program on AI that is accessible, skill-oriented, and responsive to rapid technological change remains limited. Although webinars and workshops can only do so much, a well-planned faculty development program can provide a great introduction to AI, alleviate fears, and inspire participants to keep growing and learning. Drawing on our experience designing and hosting the AAMC GEA AI Skill-Building Webinar Series and the current literature in AI, this article offers twelve practical tips for faculty developers who are creating AI-focused learning opportunities for everyone involved in HPE. These tips will help readers create robust AI skill-building sessions that move participants beyond awareness of AI and shift their perspectives toward applied, reflective, and responsible use of AI in HPE.

Abstract Background Women remain underrepresented in alcohol use disorder (AUD) research despite sex- and gender-specific health disparities and barriers to treatment. Community-engaged approaches can identify opportunities for patient-centered comparative effectiveness research (CER) that reflect women’s lived experiences. The WomenWise project used community engaged, bi-directional, partnered learning sessions (PLS) to qualitatively explore women’s perspectives on alcohol misuse, treatment barriers, and priorities for future CER. Methods In 2025, we conducted five 90-minute PLSs via Zoom with attendees who were aged ≥ 18 years, self-identified as a woman, reported lived experience of alcohol misuse, were a family member/caregiver of a woman with AUD, and were affiliated with a WomenWise partner organization or a healthcare provider treating AUD. Moderated PLSs focused on bi-directional knowledge exchange and sharing of experiences. Audio transcripts, Zoom chat content, and one asynchronous online discussion thread were analyzed using reflexive thematic analysis. Suggested future CER topics generated during sessions were presented to the WomenWise community advisory board (CAB), which ranked priority topics by vote. Results In total, 51 attendees shared their experiences. The major themes centered on a sense of shame and stigma unique to women, with many attendees mentioning gendered norms, “mom culture,” “quiet drinking,” and caregiver role strain. Barriers to treatment included structural challenges, poor healthcare provider communication, the need for trauma-informed care, and concerns about privacy particularly in rural areas. Six future CER topics emerged, of which the CAB selected three priorities: (1) harm reduction/moderation versus abstinence-only approaches, (2) trauma-focused care versus standard AUD treatment, and (3) care access and engagement strategies. Conclusions These bidirectional, co-learning sessions identified patient-centered, community-informed priorities for future AUD research in women. The findings highlight the importance of addressing stigma, trauma, structural barriers, and provider communication when designing future women-centered treatment studies and care models.

Background Competition for urgent and emergent operating-room access is a significant challenge in many hospitals. Evidence-based benchmarks for early intervention are well established for emergencies like acute appendicitis or hip fracture. In contrast, laparoscopic cholecystectomy for acute cholecystitis or symptomatic cholelithiasis is often delayed. The purpose of this study was to evaluate the clinical and economic impact of delays in laparoscopic cholecystectomy across the US. Methods The Nationwide Readmissions Database was queried for patients aged ≥18 years admitted between 2021 and 2022 undergoing urgent or emergent laparoscopic cholecystectomy. Patients were stratified based on operative timing (<3 vs ≥ 3 days). The primary outcome was 30-day readmission. Secondary outcomes included VTE, SSI, and total cost. Propensity score matching (1:1) was performed using 46 covariates. Linear regression assessed the cost associated with each additional hospital day prior to surgery, with a subgroup analysis of safety-net hospitals. Results Among 136,893 patients, 24,496 (17.9%) experienced delayed laparoscopic cholecystectomy. After matching (n = 48,992), delays were associated with increased odds of readmission (9.5%; OR 1.22 [1.15-1.29], P < 0.001) and VTE (1.5%; OR 1.51 [1.30-1.77], P < 0.001). SSI (0.2%) was not significantly different. The mean total cost was $25,957 ± $21,609 for delayed patients vs $20,784 ± $20,027 for early surgery. Linear regression revealed an incremental cost of $1,695 per additional hospital day prior to surgery, rising to $2071 per day in safety-net hospitals ( P < 0.001). Discussion Delays in laparoscopic cholecystectomy have significant clinical and economic impacts, underscoring the urgent need for national benchmarks to standardize operative timing and reduce disparities for patients in safety-net hospitals.

ABSTRACT Purpose This study assesses the association between colorectal cancer (CRC) screening and a validated, housing-based measure of individual-level socioeconomic status (SES, called HOUSES hereafter) within rural communities and determines whether HOUSES-integrated geospatial analysis can be used to tailor interventions. Methods We used CRC screening data from a subset of Mayo Clinic Midwest patients living in cities without ready access to routine care in the Mayo Clinic Health System in 2019 to represent rural communities. At the individual level, we assessed the association between CRC screening rates and the HOUSES index, adjusting for age, sex, race/ethnicity, comorbidity, distance from home address to clinic, and area deprivation index, using a multilevel mixed-effects logistic regression model. Additionally, we conducted geospatial analysis to examine the correlation between hotspots of 1) lower CRC screening rates and 2) lower SES of the subject population (HOUSES quartile 1). Findings Among 34,489 individuals (median age 64.0 years, 52.4% female), those with the lowest SES (HOUSES Q1) had 37% lower odds of being CRC screening adherent than those with the highest SES (HOUSES Q4) (adj. OR [95% CI]: 0.63 [0.58-0.69]). In the 14 identified HOUSES Q1 hotspots, there was a significant correlation in counts of HOUSES Q1 and low CRC screening (correlation coefficient=0.81). Conclusion Lower SES was significantly associated with lower CRC screening among rural populations. HOUSES-enabled geospatial analysis identified geographic hotspots with lower CRC screening rates for targeted interventions to address disparities in CRC screening in rural communities. HOUSES may be a useful digital tool for cancer preventive care and research.

Background Alzheimer's disease (AD) and related dementias are leading causes of death worldwide. While socioeconomic status (SES) is a critical determinant, its impact on mortality after diagnosis remains understudied. Objective To investigate the roles of neighborhood-level and individual-level SES in predicting mortality risk among older adults with incident dementia. Methods We analyzed data from 924 participants with incident dementia from the Mayo Clinic Study of Aging (N = 6909), a cohort with clinical follow-up visits every 15 months. We assessed mortality risk using Cox's time-varying survival regression, adjusting for time-fixed and time-varying covariates. Primary predictors were neighborhood-level SES (Area Deprivation Index [ADI]) and individual-level SES (housing-based SES index [HOUSES], education, and occupation). We also applied a random survival forest model to assess the predictive contribution of SES indicators and identify influential predictors. Results 857 participants (92.7%) died, with a median time from dementia diagnosis to death of 29 months (IQR: 12–54). Lower SES measured by HOUSES was associated with increased mortality risk (HR 1.28, 95% CI 1.07–1.52). Conversely, ADI, education, and occupation were not associated with mortality. Male sex, older age, congestive heart failure and diabetes were associated with higher mortality risk. In predictive analysis, HOUSES ranked among the top 10 contributors to mortality risk. Conclusions Among older adults with dementia, lower HOUSES was associated with higher mortality risk beyond neighborhood-level deprivation, education, and occupation. Integrating this housing-based individual-level SES measure into dementia care planning may help identify patients with greater socioeconomic vulnerability and inform mortality risk stratification.