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OBJECTIVE: To evaluate the effect of joint preparation and patient factors on outcomes and complications in patients treated acutely with hindfoot fusion nails for ankle and pilon fractures. METHODS: Design: Retrospective chart review. Setting: Thirteen US trauma centers and 2 UK trauma centers. Patient Selection Criteria: Ankle and pilon fractures (AO-OTA types A-C) from 2010 to 2020 acutely treated definitively with hindfoot fusion nail were reviewed. Patients at least 18 years old and with minimum 6 months follow-up or earlier diagnosis of complication were included. Exclusion criteria included nonambulatory at baseline, prior internal fixation that failed and underwent revision, and prior tibiotalar or subtalar arthrodesis. Outcome Measurements and Comparisons: The primary outcome was final postoperative ambulatory status. Secondary outcomes were infectious and fracture-related complications. RESULTS: One hundred forty-nine patients (75 men; 74 women; age 20–99; median 63 years) were treated for ankle (104) or pilon (45; 8A, 13B, 24C) fractures. Eighty-five patients (44%) had open fractures and 55 (37%) had diabetes. Thirty-six patients (24%) had joint preparation at the time of surgery. Forty-five (30%) were made weight bearing as tolerated postoperatively; the median time to mobilize was 1.5 days (0–210) and to full weight bearing was 35 days (0–1462). Fifty-seven patients (85%) returned to their preinjury ambulatory status, which was not affected by joint preparation (50% vs. 59%, P = 0.327). Joint preparation led to higher articular fusion rates (94% vs. 24%; P = 0.001) and fewer hardware removals (19% vs. 42%, P = 0.013), but trended toward a higher fracture nonunion rate (19% vs. 8%, P = 0.053). Forty-five patients (30%) had infectious complications, 60 (40%) had a fracture-related complication, and 67 (45%) had additional procedures. Open fractures did not lead to any differences in superficial or deep infection. Insulin-dependent diabetes was associated with higher rates of infectious complications (31% vs. 15%, P = 0.028) and amputation (17% vs. 4%, P = 0.029). CONCLUSIONS: Hindfoot fusion nails for acute ankle and pilon injuries had high complication rates. More complications occurred in patients with insulin-dependent diabetes. While 95% regained ambulation, only 57% returned to preoperative status. Joint preparation led to higher rates of articular fusion (94% vs. 24%, P < 0.001) but not fracture union (81% vs. 66%, P = 0.106). LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Abstract Introduction: Recruitment for rare disease studies is challenging due to small eligible populations. Traditional clinical research management systems often lack tools to track recruitment contacts prior to enrollment. The NET-PRO study, focused on neuroendocrine tumors (NETs), implemented a participation monitoring system to enhance recruitment efficiency and representativeness. Methods: NET-PRO is a multicenter cohort study of 2538 adults diagnosed with gastroenteropancreatic (GEP) or lung NETs between January 2018 and September 2024. Recruitment occurred from January 2022 to February 2025 across 14 U.S. medical centers. Sites used flexible recruitment methods (email, mail, phone, in-clinic) and tracked contacts using REDCap-based tools. Participant characteristics were analyzed by enrollment mode (online or mail) and recruitment difficulty (number of contacts required prior to enrollment) using standardized mean differences, chi-square tests, and ANOVA. Results: Of 9279 contacted patients, 2675 consented (28.8%) and 2538 enrolled (27.4%). Most enrolled online (83.2%), while 16.8% enrolled by mail. Mail respondents were older, had lower education and income, and more comorbidities. Among those enrolled, recruitment difficulty was associated with older age, lower education and income, but not comorbidity. Over half of the most difficult-to-recruit participants enrolled online. Contact methods varied by attempt, with email dominating early contacts and phone/mail used more in later attempts. Conclusions: A participation monitoring tool supported flexible, multimodal recruitment and improved sample representativeness in a rare cancer study. Tracking recruitment contacts enabled adaptive strategies and may reduce bias in observational research by enabling better outreach to harder-to-reach populations.

ABSTRACT Background One in five emergency department (ED) visits is by older adults aged 65+ years. Clinical practice guidelines are needed to optimize patient care by translating the best available evidence into actionable recommendations to guide person‐centered management for this medically complex and growing patient population. Our objective was to understand contributors' experiences and share best practices to inform other guideline working groups. Methods We conducted a qualitative study based on thematic analysis with an interpretivist paradigm in June–July 2025, using semi‐structured interviews of Geriatric Emergency Department (GED) Guidelines 2.0 contributors to understand their experiences. Interviews were transcribed, independently reviewed by team members, and reflexively coded to identify themes. Results We interviewed 18 participants. Four main themes emerged: (1) motivations for participation, (2) varying opportunities to be involved, (3) personal benefits, and (4) challenges for improvement. Participants contrasted the strengths of shared learning and development with the burdens of organization and coordination. Conclusion Contributors to the GED Guidelines 2.0 reported a positive experience. They joined because they wanted to contribute to better care of older patients and to achieve personal and professional goals. Many cited that their roles aligned with their strengths and expertise. They also gained skills and knowledge on systematic reviews and benefited from networking. Future groups planning a similar process should consider having multiple levels of leadership, experts in systematic reviews, regular reminders, and creative incentives to improve the process and foster improved networking opportunities within their disciplines.

Abstract Patients at risk for progression from myeloid precursor states (idiopathic cytopenia of undetermined significance [ICUS] and clonal cytopenia of undetermined significance [CCUS]) to myelodysplastic syndrome (MDS) are not well defined. Epidemiologic risk factors, clonal changes for MDS development, and evolution from one MDS state to another were available in the MDS Natural History Study (NHS), a prospective cohort enrolled at diverse US sites. Extensive clinical data and biospecimens were collected at baseline and follow-up. A total of 1177 (56%) individuals with MDS or MDS-related precursor conditions (ICUS/idiopathic dysplasia of undetermined significance [IDUS], CCUS, and MDS/myeloproliferative neoplasm overlap) were enrolled and diagnosed in the MDS NHS. The median age was 74 years, with 89% aged ≥60 years, and most were male patients. Median follow-up time was 1.6 years and was similar among ICUS/IDUS, CCUS, and MDS. During follow-up period, 68% of participants terminated the study, 35% died, and 38% had disease progression. Using a refined clinical definition of progression, the greatest proportion of progression was observed among higher-risk-MDS (116 [73%]), followed by lower-risk-MDS (170 [52%]); fewer progression events were observed among participants with CCUS (65 [22%]) and ICUS/IDUS (46 [17%]). Predictors of progression are delineated, including female sex, higher quantity of mutations, the presence of TP53 mutation, and poor/very poor cytogenetic score. Based on these prospective data, guidelines for clinical management including monitoring and surveillance are outlined. The MDS NHS provides real-world data to illustrate how clinical and genotypic differences inform the classification, disease course, and approach to therapy, with informed monitoring guidelines for patients. This trial was registered at www.ClinicalTrials.gov as NCT02775383.

BACKGROUND: Despite the widespread adoption of minimally invasive surgery in the US, disparities in its use persist. One unexplored contributor is geographic access to robotic surgical systems. This study evaluates the geospatial association between: (1) Social Vulnerability Index (SVI) and open surgery rates, (2) availability of robotic systems and open surgery, and (3) open surgery rates in demographically similar areas with differing robotic access. STUDY DESIGN: Data from 6 sources were linked at the ZIP Code Tabulation Area (ZCTA) level to identify hospitals and to extract procedure modality, presence of robotic systems, and area characteristics. Regression analysis assessed the association between SVI and open surgery rates. Open rates were then compared between hospitals with and without robotic systems. Propensity score matching was used to compare open rates across matched ZCTAs by robotic access and SVI levels. RESULTS: Higher social vulnerability was associated with increased open surgery rates (estimate = 0.20; p < 0.01), with rates ranging from 18.3% in low-vulnerability areas to 32.7% in high-vulnerability areas. Among 3,446 eligible ZCTAs, 57% had at least 1 robotic system. ZCTAs without robotic systems had higher open surgery rates (42.9 vs 19.4 per 100 procedures; relative rate = 2.21; p < 0.01). This association remained significant after matching (relative rate = 1.66; p < 0.01), for the low-mid- and high-SVI strata, and 3 of the 5 procedures examined. CONCLUSIONS: When correcting for geographic variation, the availability of robotic surgery was associated with a decrease in open surgery rates.

Three-dimensional (3D) anatomic modeling derived from high-resolution medical imaging, such as computed tomography (CT) and magnetic resonance imaging (MRI), has been increasingly adopted in preclinical testing and device development. This white paper describes a cardiac-specific workflow that integrates 3D printing and silicone molding for support device development and procedural simulation. Patient-derived computed tomography angiography data were segmented using FDA-cleared medical modeling software to isolate the left ventricular anatomy and were further processed in computer-aided design (CAD) to ensure accurate physiological wall thickness and structural fidelity. Material jetting 3D printing was performed on a Stratasys J750 using material distributions designed to mimic the mechanical properties of myocardium, thereby approximating myocardial compliance. In parallel, stereolithography apparatus molds were designed from the left ventricle CAD model to cast transparent, pliable left ventricular models in Sorta-Clear™ 18 silicone. The 3D-printed models preserved intricate morphological detail and were suitable for mechanical manipulation and device deployment studies, whereas silicone models offered tunable mechanical properties, transparency for visualization, and durability for repeated use. Together, these complementary modalities provided rapid manufacturing capability and application-relevant physical representation. Case-specific parameters, strengths, and limitations of both models in enhancing patient care and device testing are highlighted, with relevance to heart failure applications. Current knowledge gaps, workflow and integration challenges, and future opportunities are identified, positioning this work as a reference framework for continued innovation in anatomic modeling. Within the collaborative framework of Mayo Clinic’s Anatomic Modeling Unit and Simulation Center, this integrated modeling workflow demonstrates the value of multidisciplinary collaboration between engineers and clinicians. Clinically, these patient-specific left ventricular models may enable pre-procedural device sizing and positioning and may support simulation of mechanical circulatory support (MCS) deployment while identifying possible anatomic constraints prior to intervention. This workflow has direct applicability in advanced heart failure patients undergoing MCS support, such as the Impella axillary MCS device or the durable LVAD, with potential to reduce procedural uncertainty while reducing complications and improving peri-procedural outcomes. Additionally, these models also serve as high-accuracy educational tools, enabling trainees and multidisciplinary care teams to visualize and possibly rehearse procedural steps while gaining hands-on experience in a risk-free environment.

Chest CTs done for unrelated reasons have the potential to reveal unsuspected abnormalities and provide complementary information to help direct appropriate management. By thoroughly understanding the diagnostic role and limitations of CT in assessing ventricular size and morphology as well as myocardial attenuation, enhancement, and thickness, radiologists will be better equipped to differentiate between normal and abnormal findings and provide precise, clinically appropriate recommendations.

Abstract Background Cardiovascular disease (CVD) is the leading cause of death globally for both men and women, yet women remain historically underrepresented in cardiovascular clinical trials (CV trials), despite facing a disproportionately high burden of morbidity and mortality in many forms of CVD. Purpose We aim to determine the representation of women across a broad range of CV trials. Methods The participation of women in CV trials registered on ClinicalTrials.gov from 2017 to 2023 was systematically determined through the extraction of publicly available information. Data was extracted to identify the country of study, disease type, trial size, clinical intervention and age of the participants. We calculated the proportion of women and the ratio of number of females to male participants (F:M ratio) for each trial. The female participation to prevalence ratio (PPR) was estimated for each trial based on the relative prevalence of the disease by sex in the specified region. Results We identified 1,079 registered CV trials, which included 1,396,104 participants, of whom 571,641 (41.0%) were women. The median F:M ratio was significantly lower for studies on arrhythmia (0.5), coronary heart disease (CHD) (0.39), acute coronary syndrome (ACS) (0.32) and heart failure (HF) (0.51), but was higher for obesity (1.44) and pulmonary hypertension (PH) (2.86) CV trials. F:M ratio was higher for trials on lifestyle intervention (1.51) than for drug trials. PPRs were low for clinical trials on CHD (0.66), ACS (0.79), and stroke (0.74). There was a trend to increasing PPR from 2017 to 2023, p=0.056. Conclusion Representation of women in CV trials varies by disease state, region, intervention, and sponsor type. Better understanding of reasons for these differences may enable more tailored interventions to improve representation of women globally and across therapeutic areas.Figure 1 Figure 2

Abstract Background Alcohol consumption and its relationship with cardiovascular disease (CVD) remains controversial. Observational studies have reported J-shaped associations suggesting cardioprotective effects of moderate drinking, while other observational and Mendelian Randomization studies have found dose-response harm. Biases such as abstainer misclassification, sick quitter effects, and residual confounding may obscure true associations. This study aimed to reassess alcohol’s impact on CVD using novel methods to minimize bias. Purpose We evaluated the relationship between alcohol and subclinical (coronary artery calcium [CAC]) and clinical (myocardial infarction [MI], stroke, cardiovascular death, major adverse cardiovascular events [MACE], and heart failure) outcomes in the Multi-Ethnic Study of Atherosclerosis (MESA). We compared conventional models with those using (1) occasional drinkers as the reference group instead of lifetime abstainers and (2) intention-to-treat (ITT) reallocation of former drinkers based on past drinking patterns. Methods MESA is a prospective cohort study of 6,814 participants aged 45-84 years without baseline CVD. Alcohol use was classified as lifetime abstainer, former drinker, or current drinker (occasional [≤1 drink/week], light [2-7 drinks/week], moderate [8-14 drinks/week], heavy [&gt;14 drinks/week]). We used multinomial logistic regression for CAC and Cox proportional hazards models for clinical outcomes across four models: (1) non-drinker reference, (2) lifetime abstainer reference, (3) occasional drinker reference, and (4) occasional drinker reference with ITT reallocation of former drinkers to their previous drinking levels. Results Increasing alcohol consumption correlated with a dose-response increase in CAC. Heavy drinking was consistently associated with severe CAC (&gt;300). In fully adjusted models, light (OR: 1.23, 95% CI: 1.02-1.48), moderate (OR: 1.27, 95% CI: 1.04-1.55), and heavy drinking (OR: 1.42, 95% CI: 1.12-1.78) were associated with higher CAC scores compared to occasional drinkers. Traditional models replicated protective effects of moderate drinking for MI and cardiovascular mortality. However, these associations attenuated in adjusted models. Moderate drinking showed an attenuated, non-significant benefit for MI (HR: 0.64, 95% CI: 0.38-1.06) and cardiovascular mortality (HR: 0.81, 95% CI: 0.53-1.25) in fully adjusted models. Light drinking shifted from null to increased risk for MI (HR: 1.46, 95% CI: 1.11-1.92), stroke (HR: 1.54, 95% CI: 1.17-2.03), MACE (HR: 1.33, 95% CI: 1.12-1.57), and heart failure (HR: 1.42, 95% CI: 1.10-1.84). Conclusion Adjusting for abstainer and sick quitter biases altered the observed relationship between alcohol and CVD, showing increased harm with light drinking, attenuated protective effects of moderate drinking, and a dose-response relationship for CAC in bias-adjusted models. These findings illustrate the importance of methodology in alcohol-CVD relationships.