Citations

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare, with applications ranging from predictive analytics to clinical decision support. In clinical nutrition, AI tools offer opportunities to improve workflow efficiency, enhance dietary assessment, and personalize nutrition care. Despite growing interest, little is known about registered dietitian nutritionists’ (RDNs) perceptions of AI in clinical practice. The aim of the present study was to assess RDNs’ attitudes toward AI use within a large healthcare system, along with their perceived barriers in this regard. Methods: A cross-sectional survey was developed through expert review and distributed electronically via REDCap to RDNs across Mayo Clinic’s academic campuses and affiliated health system sites. The 23-item survey included Likert-scale items addressing AI’s potential utilization within clinical care, perceived benefits and risks, and readiness for adoption. Responses were summarized using descriptive statistics. Factor analysis identified underlying constructs related to AI attitudes. Differences stratified by age and years of experience were evaluated using ANOVA. Results: Of the 185 RDNs invited, 64 (35%) responded. Two factors emerged: optimism regarding AI usage (Cronbach’s α = 0.94) and skepticism about implementation (α = 0.76). The overall mean ± SD score for optimism was 0.1 ± 0.6 (neutral), while skepticism averaged 1.0 ± 0.6 (moderate). Skepticism differed by years of experience (p = 0.012), with the lowest levels observed among RDNs with ≥21 years of practice. No significant differences were observed across age groups. Discussion: RDNs demonstrated neutral attitudes toward AI use but expressed concerns about accuracy, training, and implementation challenges. Addressing these concerns through education and structured implementation strategies may facilitate successful adoption of AI in dietetic practice.

OBJECTIVE To test the effect of physical activity on the gut microbiome and circulating short-chain fatty acids (SCFAs) among sedentary adults with prediabetes and overweight or obesity. RESEARCH DESIGN AND METHODS In a pilot and feasibility trial, we randomized 77 adults with prediabetes and a sedentary lifestyle into one of two groups: 1) intervention: invited to engage in home-based moderate-intensity walking 3×/week for 30 min/session in weeks 1–4 and for 45 min/session during weeks 5–8 of the 8-week intervention; or 2) control: maintained habitual physical activity levels. We performed metagenomic sequencing from stool collected at baseline, week 4, and week 8, with SCFAs measured from serum collected at baseline and week 8. Taxonomic and functional profiling was performed on the metagenomic reads; α-diversity metrics were subsequently derived. Linear regression assessed the difference in change between the intervention and control groups for α-diversity and SCFA levels. RESULTS We screened 1,533 participants for eligibility and consented 132. Of these, 87 entered the run-in phase, and 77 were randomized. Participants were mean (SD) 51.4 (8.9) years old, 87.7% female, and 74% non-Hispanic White. Mean fasting glucose was 103.3 (13.2) mg/dL, while mean BMI was 34.4 (5.7) kg/m2. Compared with the control group, the intervention group experienced decreased α-diversity as characterized by Shannon, Richness, and Faith diversity indices by intervention week 8 (P < 0.05). Changes in SCFA levels were not statistically significant different in intervention versus control. CONCLUSIONS Randomization to a walking intervention resulted in modest gut microbiome changes among adults with overweight or obesity and prediabetes.

Community organisations, alternative schools and business institutions worldwide prepare youth for the workforce. Since the COVID-19 pandemic, changes in work—life decisions and business needs have led to a shortage of talent. To equip students with the skills and mindset needed to be future ready, the power of diversity, equity and inclusion (DEI) must be harnessed through a network of meaningful connections and partnerships. A small group at Mayo Clinic, sharing a common interest in DEI and the local community, explored ways to encourage diverse, young talent to embark on careers in science, technology, education and mathematics. Input from community organisations and professionals indicated that collaborating with educational institutions is vital, which led to the initiation of a pilot programme involving one high school. The group collaborated with the school’s Work Experience Coordinator and students to develop and implement a pilot Career Preparation Programme (CPP) as part of a Work Experience Seminar (WES) course to deepen students’ knowledge of healthcare careers and provide one-on-one and group mentorship. Through discussions about career possibilities, levers of success and a higher purpose, the team sought to help students appreciate available and attainable career opportunities. Student evaluations were conducted after each of the two semesters. A total of 93 students participated in the pilot programme, of whom 85 (91 per cent) reported that the combined offering was engaging and worthwhile. The primary takeaways were ‘the importance of soft skills’, ‘following dreams and passions’ and ‘being a lifelong learner’. Inspired by this experience, the students established a club focused on career mentoring and tutoring. Throughout the process, trust, credibility and role modelling were emphasised. In addition, flexibility, patience and openness to bidirectional learning and creative ideas were identified as the main elements of programme’s success. The team plans to expand the pilot programme to include a non-healthcare focus and implement the programme at additional high schools. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/ business/.

Background Individuals with intellectual and developmental disabilities experience substantial disparities across the cancer care continuum, including delayed diagnosis, limited access to supportive resources, and heightened psychosocial distress. These challenges are intensified in high-acuity settings where care models are not adapted to their developmental and cognitive needs. Methods We describe an interdisciplinary, patient-centered approach to the care of a 34-year-old patient with developmental delay and metastatic adenocarcinoma. Key strategies emphasized education, preparation, and communication tailored to her cognitive abilities. Collaboration with her family informed effective strategies to reduce distress and improve compliance. Results Tailored interventions – including simplified communication, visual supports, and continuity of providers – improved the patient’s coping, reduced distress, and enabled completion of comprehensive oncologic evaluation and treatment. Conclusions This case demonstrates that structured, interdisciplinary, patient-centered approaches to care can mitigate disparities and support equitable, compassionate care for individuals with intellectual and developmental disabilities facing serious illness.

Introduction: The Revised Cardiac Risk Index (RCRI) and the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) are well-recognized tools to predict 30-day postoperative cardiac events in noncardiac surgeries. However, their predictive accuracy is yet to be assessed in minimally invasive transurethral prostate surgery. We compared the RCRI- and NSQIP-predicted postoperative cardiac outcomes with the actual incidence of cardiac events after transurethral prostate surgery. Methods: We conducted a retrospective review of patients who underwent transurethral prostate surgery between July and December of 2022. We assessed for postoperative cardiac events within 30 days, as defined by the seminal cardiac VISION study. The RCRI and NSQIP cardiac event predictions were calculated. Fisher’s exact test was used for analysis. Results: We included 185 patients with an average age of 73 ± 8.4 (standard deviation) years, 86 of whom (46%) had transurethral resection of the prostate, and 99 underwent Holmium Laser Enucleation of the Prostate (54%). Myocardial injury after noncardiac surgery surveillance was needed for 34 patients (18.4%) as per standard practice. No patient had any intraoperative cardiac events. One patient experienced a nonfatal postoperative cardiac event (asystole) within hours of surgery. The 30-day cardiac event prediction by the RCRI was 4.8% of the patient cohort ( n ≈ 9), significantly higher than the observed incidence of 0.5% ( p = 0.0198). NSQIP predicted that 0.54% of the patient cohort ( n = 1) will have a cardiac complication within 30 days, which is not significantly different from the observed cardiac event incidence ( p = 1). Conclusion: The RCRI significantly overestimated the 30-day cardiac risk after transurethral prostate surgery, whereas NSQIP predictions and the observed rate of cardiac events were similar. Utilizing more representative predictive tools helps improve risk stratification and will allow patients and surgeons to make better-informed decisions.

Introduction: Manual measurement of leg length (LL) and offset can be tedious. This study developed an automated algorithm for measuring LL and offset from pre- and postoperative AP pelvis radiographs in a large cohort of THA patients. Methods: Using a deep learning model trained on 1100 total AP pelvis radiographs, an algorithm was developed to calculate LL and offset. Algorithm measurements were compared with manual measurements by 4 raters on a sample of 100 pre- and postoperative image pairs. Inter- and intra-rater consistency was calculated using the intraclass correlation coefficient (ICC). The algorithm was applied to calculate the pre- and postoperative LL and offset discrepancies and the change in LL and offset bilaterally in a cohort of 15,951 image pairs. Results: ICC values between the algorithm and human raters ranged from 0.83 to 0.88 for offset measurements and 0.92 to 0.97 for LL measurements. Human raters demonstrated good-to-excellent inter-rater ICC and uniformly excellent intra-rater ICC. Entire database measurements demonstrated shorter LLs for arthritic joints versus the contralateral leg preoperatively and reduced LL discrepancy post-arthroplasty. Conclusions: We present a deep learning algorithm for calculating LL and offset using AP pelvis radiographs. This tool can support population-level studies and may assist operative management.

ABSTRACT Cohort studies are vulnerable to confounding and time‐related biases. Recent advances emphasize the importance of emulating a hypothetical target trial to minimize several of these biases. The target trial framework is a critical tool for designing cohort studies. It requires explicit specification of protocol components: eligibility criteria, treatment strategies, outcomes, timing of follow‐up (time zero), and the causal contrast to be estimated. Critical to this framework is defining “time zero” when treatment assignment takes place and follow‐up begins, which prevents prevalent user and immortal time bias and ensures proper temporal sequencing of confounders, exposure, and outcome. By guiding design, data collection, and analysis, the target trial framework helps align observational studies with the principles of randomized trials, improving the validity and interpretability of their findings. While it cannot eliminate unmeasured confounding, this approach promotes transparent, bias‐conscious cohort design, minimizes time‐related bias, and supports more robust causal inference with observational data.

ABSTRACT Background In pediatric kidney transplant recipients, native nephrectomy is sometimes performed to manage conditions such as polyuria, nephrotic syndrome, and recurrent infections. To minimize surgical morbidity, our center adopted a technique from the adult transplant program involving ligation of native ureters at the time of transplantation as an alternative to native nephrectomy in selected patients. Methods This retrospective study describes our center's experience with pediatric patients who underwent ureteral ligation at transplantation between December 2008 and December 2022. Patient selection was based on clinical judgment rather than predefined criteria. Results Sixteen patients underwent ureteral ligation, with polyuria (12/16) and proteinuria associated with focal segmental glomerulosclerosis (4/16) as the primary indications. Ligation was unilateral in 5 patients and bilateral in 11. The average follow‐up was 5.7 years. No operative complications directly attributable to ureteral ligation were observed, including native kidney pyelonephritis or need for reoperation. Although post‐transplant imaging often revealed hydronephrosis of the native kidneys, it had no clinical consequences. Late postoperative hypertension occurred in 31% of the ligation group compared to 47% of controls without ligation, while new‐onset hypertension was more common in the ligation group (18.8% vs. 5.1%). Pain scores postoperatively were comparable between groups. Conclusions This technical report suggests that native ureteral ligation at pediatric kidney transplantation is feasible in selected patients but represents an empirical, non‐standard‐of‐care approach. Prospective comparative studies are needed to refine patient selection and assess long‐term outcomes.