Citations

Background and Objectives: Normothermic regional perfusion (NRP) is an effective technique to improve recipient outcomes. However, no valid methods for determining liver viability exist. Identifying relevant biological markers with clinical correlation to liver viability and recipient clinical outcomes is imperative to improve decision-making. Materials and Methods: Fifty-four donors undergoing NRP and their recipients were included. FMN was measured at the start, 1 h, and end of NRP. Lactate was measured at the start, 30, 60, and 90 min of NRP. Primary outcomes were early allograft function using the early allograft dysfunction (EAD) criteria and the model for early allograft function (MEAF). Secondary outcomes included the association with donor warm ischemia time (DWIT), stratified by 30 min. Spearman’s rho assessed correlations. Results: Forty (74%) livers were transplanted, with 5 (12.5%) recipients developing EAD and the mean MEAF score was 3.13 (1.49). FMN at all time points was significantly greater in the EAD group compared to the non-EAD group and was significantly correlated with the MEAF score (Peak FMN: rho = 0.507, p = 0.001). FMN during perfusion did not differ between DWIT < and ≥30 min. Lactate levels were similar across all groups and did not discriminate for adverse allograft outcomes. However, lactate levels during perfusion were higher in the DWIT ≥ 30 min group. Conclusions: These findings suggest that during NRP, elevated FMN, but not lactate, is associated with early allograft function.

Background: Several breast cancer (BC) risk prediction models have been developed to provide personal risk assessments. Though individually validated, their performance has not been systematically evaluated across a wide range of populations or ages. Methods: We harmonized individual-level baseline questionnaire data and incident BC diagnoses from 21 cohorts from North America, Europe, and Australia participating in the Breast Cancer Risk Prediction Project. Five-year absolute risk of invasive BC was estimated for five established risk prediction models using classical risk factors only. Discrimination was evaluated by area under the curve (AUC). Calibration was assessed using average and risk-decile specific expected to observed (E/O) ratios. Performance metrics were meta-analyzed across cohorts and models. Metaregression tested associations between cohort characteristics and performance metrics. Results: This analysis included 1,595,977 women aged 20-75 years, enrolled in studies between 1976-2015, with 19,062 (1.2%) invasive BC cases ascertained within 5 years from exposure assessment. Age-adjusted AUCs were similar across models and cohorts (pooled AUCs by model: 0.57-0.58), while E/O ratios varied substantially (pooled E/O ratios by model: 0.83-1.25). Overestimation was common among predicted high-risk individuals (>3%). No appreciable differences in model performance by cohort age, birth year, race, and variable missingness emerged. Calibration improved after assigning race-specific incidence rates. Conclusion: Existing BC risk prediction models provided similar risk discrimination across multiple cohorts, although there was overestimation of risk for high-risk individuals. Performance variation across cohorts was not driven by specific characteristics, which supports development of a unified risk model for diverse populations that leverages appropriate incidence rates.

Abstract Health and biomedical science-related academic societies have played significant roles in the development and evolution of science and medicine, as well as the evolution of disciplines, including the diversification of medicine into specialties and subspecialties. They have also had formative roles in the development of clinical practice, professionalism, and training standards. The communities they establish promote knowledge creation and dissemination, provide career and professional development opportunities, articulate professional matters, offer networking opportunities, provide recognition, support members, and perform public engagement and advocacy work. They also play increasingly important roles in educating the public and disseminating objective, evidence-based medical and scientific information. Academic societies face challenges related to membership (recruiting new members and engaging and retaining current members), technology, hosting meetings and conferences, generational shifts (e.g., in demographics and attitudes toward working conditions, career paths, work-life integration), costs and logistics related to operations, and morale within institutions and professions. The Council of Faculty and Academic Societies of the Association of American Medical Colleges plays a unique role in supporting academic medical and related societies by providing an interprofessional forum for their interaction and dialogue, and is a vehicle for asserting their collective voice. To the extent that past is prologue, future advances in health care and science will depend, in part, on the resilience of academic societies and on the health professional workforces that they nourish.

Cardiac allograft vasculopathy (CAV) remains a leading cause of graft failure after heart transplantation, yet an early, non-invasive risk stratification tool is not available. Artificial intelligence electrocardiography (AI-ECG) can estimate biological heart age, and it has been associated with cardiovascular risk. Its deviation with chronological age, called delta age, and its utility in the prediction of CAV has never been explored. We conducted a retrospective single-center study for heart transplant recipients bridged with Impella 5.5 (Abiomed, Danvers, MA, USA) at Mayo Clinic Florida (2020–2023). ΔAge was calculated at discharge and 1-year post-transplant. The primary outcome was confirmed CAV at 1 year. Univariate and multivariable logistic regression models were used to assess the independent association between the ΔAge and the development of CAV, with discrimination evaluated by AUC and internally validated via bootstrap resampling (2000 iterations). Fifty patients were reviewed. CAV developed in 13 (26%) patients in 3 years. CAV+ patients had a significantly higher ΔAge at discharge compared to CAV- patients (median −1.0 vs. −11.0 years, p = 0.0023) and at 1 year (median +7.0 vs. −4.0 years, p = 0.0080). On univariate analysis, ΔAge at discharge was a significant predictor of the development of CAV (OR 1.084 per year, AUC 0.788). On multivariable adjustment, ΔAge at discharge remained an independent predictor (adjusted OR 1.138, 95% CI 1.023–1.265, p = 0.018, and model AUC 0.859). ΔAge at discharge is a novel and potential predictor of the development of CAV within 3 years. These findings support the integration of AI-ECG into post-transplant surveillance as a scalable, low-cost tool.

ABSTRACT Introduction Sustaining interventions implemented as part of pragmatic clinical trials requires proactive planning, but how to approach this process remains understudied. The Non‐pharmacological Options in Hospital‐based and Rehabilitation pain Management stepped‐wedge cluster‐randomized pragmatic trial tested an electronic health record‐based educational bundle (known as the Healing After Surgery [HAS] initiative) that encouraged the incorporation of non‐pharmacological pain care in perioperative pain management. The HAS initiative was implemented in multiple surgical practices and hospital sites. One year prior to trial completion, a sustainment committee was established to support the transition of intervention components to clinical ownership and to support posttrial sustainment of the HAS initiative. Methods We reviewed meeting minutes from biweekly sustainment committee meetings and conducted debriefing sessions with committee members (informed by the Clinical Sustainability Assessment Tool) to identify sustainment strategies and challenges, which were then organized into meaningful themes. Results The following six themes emerged from meeting minutes and debriefings: (1) automation of low‐touch components, (2) reliance on internal champions, (3) intentional handoff communication, (4) institutional attention, (5) relaxed fidelity, and (6) continuous evaluation. Together, they highlight the importance of early, structured planning and adaptable implementation strategies. Conclusions Sustainment of the HAS initiative required extensive communication, adaptation, and stakeholder engagement across diverse institutional contexts. Proactive sustainment planning during trial design may help ensure interventions are successfully integrated into routine clinical practice posttrial.

The NCCN Guidelines for Survivorship offer guidance for health care providers who care for survivors of adult-onset cancer. These guidelines include screening, evaluation, and treatment recommendations for common physical and psychosocial problems resulting from cancer and its treatment and provide a framework for care coordination. They also present guidance for helping cancer survivors to enhance their wellness and maintain a healthy lifestyle. This article summarizes the panel’s current recommendations and recent updates regarding anxiety, depression, distress, and trauma in cancer survivors.

Mesothelioma is a rare cancer that originates from the mesothelial surfaces of certain sites within the body. Pleural mesothelioma is the most common type and represents approximately 85% of mesotheliomas. The NCCN Guidelines for Mesothelioma: Pleural provide recommendations for evaluation and treatment in patients with pleural mesothelioma. The NCCN Guidelines will continue to be updated annually based on available clinical evidence and panel consensus.

Background: Traditional educational methods often require protected time away from clinical duties, can be difficult to attend because of staffing or scheduling constraints, and may not consistently engage learners or meet individual learning needs. This article describes a gamified in situ microlearning approach to nursing professional development within the clinical practice setting that was designed to improve confidence and knowledge retention while maintaining staff satisfaction. Method: The educational intervention was provided in the clinical setting to avoid scheduling conflicts and interruptions in care. Results: Education on 18 topics was provided over 12 months. The gamified microlearning was associated with increased self-reported confidence without negatively impacting satisfaction. Conclusion: Gamified in situ microlearning can serve as a valuable adjunct to nursing professional development.

ABSTRACT Bardet‐Biedl syndrome (BBS) is a rare autosomal recessive disorder characterized by clinical and genetic heterogeneity. Data on the prevalence of clinical manifestations and comorbidities in BBS, particularly in pediatric patients, are limited. This study aimed to assess the prevalence and various manifestations of endocrine and other clinical comorbidities among pediatric and adult patients with BBS. This retrospective chart review included pediatric and adult patients with BBS evaluated at an academic tertiary care center in the United States between 2000 and 2024. The study included 31 patients (7 children and 24 adults) with seven identified pathogenic variants associated with BBS. The most common genetic etiology was biallelic variants in BBS1 (36%). Obesity was diagnosed in 86% of children and 100% of adults. No children had diabetes or prediabetes, whereas 46% of adults were affected. Dyslipidemia was identified in 29% of children and 46% of adults. No thyroid abnormalities were identified in children, whereas 25% of adults were affected. Retinal dystrophy was present in 71% of children and 96% of adults. Polydactyly was observed in 100% of children and 75% of adults. Chronic kidney disease was present in 29% of children and 63% of adults. This study highlights the clinical heterogeneity and substantial multisystem burden of BBS across pediatric and adult patients. The greater prevalence of diabetes/prediabetes, dyslipidemia, thyroid abnormalities, chronic kidney disease, and visual impairment among adults suggests that these complications may emerge or progress over time. Early recognition, proactive longitudinal surveillance, and comprehensive multidisciplinary care are essential to optimize management across the lifespan.