Citations

Introduction: Financial literacy is an often-overlooked aspect of medical education. Prior research indicates that trainees frequently lack knowledge in areas such as loan repayment, retirement planning, and investing, despite reporting strong interest in financial education. Insufficient financial literacy may contribute to financial stress, burnout, and suboptimal long-term planning, highlighting the need for targeted curricula. Methods: We sent a cross-sectional survey to 446 medical students across all Mayo Clinic Alix School of Medicine campuses. One hundred thirteen recipients responded (25% response rate). Participants completed the abbreviated five-item Consumer Financial Protection Bureau (CFPB) financial well-being scale, five previously published “Big 5” objective financial literacy questions, five investigator-developed medical training-specific knowledge questions, and seven investigator-developed self-assessed financial literacy items. We used descriptive statistics to summarize responses. We used analysis of variance, t tests, and regression analyses to assess differences across demographic groups. Results: Despite moderate literacy in all three measured domains, we identified gaps of knowledge regarding loan repayment and retirement planning. Students scored higher on “Big 5” items (3.91/5) than medical training-specific items (3.48/5; P = 0.001). No significant differences emerged across age, campus, or training year for financial well-being or objective literacy. Perceived and objective literacy were moderately correlated (r = 0.52, P<0.001). Interest in additional financial education was high (81%). Conclusion: Despite moderate financial literacy on basic concepts, medical students exhibit notable gaps in knowledge regarding loan repayment and retirement planning. These findings persist across all years of training, highlighting the need for structured, early financial education to better prepare students for long-term financial security.

Abstract Background Inflammatory bowel disease (IBD) can lead to a hypercoagulable state, particularly at initial diagnosis. Consequently, venous thromboembolism (VTE) represents a serious complication associated with IBD. For children, the risk of VTE near the time of IBD diagnosis has not yet been quantified, and guidance for VTE prophylaxis remains unclear. Methods This multisite matched case-control study examined pediatric patients with a new diagnosis of IBD from 2019-2024. Cases were those who developed VTE ≤30 days prior or ≤90 days post IBD diagnosis. Controls were newly diagnosed IBD patients without VTE. Each case was matched to 2-6 controls based on IBD subtype and age at IBD diagnosis. Demographics, laboratory values, prothrombotic risk factors and treatments were compared between matched cases and controls using conditional logistic regression stratified, by case sets. Results Study subjects included 15 cases and 52 controls, resulting in 70 matched pairs. Factors associated with early VTE included lower hemoglobin (P = .003), lower albumin (P = .002), corticosteroids use (P = .01), central line (P = .002), and any surgery ≤90 days post IBD diagnosis (P = .001). No association with VTE was detected for platelets, C-reactive protein, fecal calprotectin, family history of IBD or body mass index. Conclusions Albumin, hemoglobin, steroid use, central line, and any surgery ≤90 days post IBD diagnosis were associated with early VTE. These risk factors may be used in a future prediction model to stratify newly diagnosed pediatric IBD patients by their risk for early VTE development.

Background Patients with substance use disorder (SUD) have high rates of hospitalization, readmission, and prolonged lengths of stay. Objectives To conduct a systematic review and meta-analysis of the impact of addiction consult services in the inpatient setting for patients with SUD. Methods Five databases were systematically searched from their earliest available records through January 2025. Two authors independently screened articles, extracted data, and assessed the quality of each study with the Newcastle-Ottawa Scale for observational studies and the Cochrane risk-of-bias tool for randomized clinical trials. Pooled odds ratios (ORs) with 95% CIs were calculated for dichotomous outcomes, and mean differences were calculated for continuous outcomes. Results The search retrieved 20 studies that met inclusion criteria. The intervention for all studies was an addiction medicine consult, but the definition of this consult varied. The meta-analysis did not detect statistically significant differences in hospital length of stay, hospital readmission, or emergency department visits at 1 year among patients who received the consult compared with those who did not; however, many of these outcomes were likely underpowered. However, addiction medicine consults significantly improved the odds of inpatient initiation of medication for SUD (OR, 7.30; 95% CI, 3.30-16.13; P <.001) and postdischarge SUD treatment linkage and adherence (OR, 3.31; 95% CI, 2.06-5.32; P <.001). Conclusion Inpatient addiction consult services are associated with increased inpatient initiation of medication for SUD treatment and postdischarge treatment linkage and adherence. No clear association was identified between the consult and readmissions, emergency department utilization, or length of stay.

Introduction: Zoledronic acid is a bisphosphonate widely used for osteoporosis and other bone disorders. In rare cases, it can cause ocular inflammation mimicking orbital cellulitis. Case description: A 52-year-old woman developed right eye pain and swelling within 24 hours of her first zoledronic acid infusion. Examination revealed conjunctival redness and mild eyelid swelling without proptosis, ophthalmoplegia, or vision loss. Laboratory markers were largely normal. Computed tomography scan and magnetic resonance imaging showed preseptal and postseptal inflammation without abscess formation. Treatment with corticosteroids and antibiotics resulted in complete symptom resolution within one week. Conclusion: Zoledronic acid can induce rapid-onset orbital inflammation. Awareness of this rare adverse effect is essential to avoid misdiagnosis and ensure timely treatment.

Sudden cardiac arrest (CA) is a leading cause of death in the United States, with coexisting chronic obstructive pulmonary disease (COPD) recognized as an independent risk factor. National trends in mortality among individuals with both conditions remain unclear. Using Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (multiple cause-of-death data, we conducted a retrospective cross-sectional analysis of deaths with International Classification of Diseases, Tenth Revision codes for COPD (J41–J44) and CA (I46). Age-adjusted mortality rates (AAMRs) were calculated and stratified by race, sex, age group, census region, urbanization level, and place of death. Temporal trends were assessed using Joinpoint regression, reporting annual percent change (APC), and average annual percent change. From 1999 to 2023, a total of 853,773 deaths were recorded, with AAMRs declining from 35.48 to 22.77. The decline was steepest from 1999 to 2006 (APC: –2.77), followed by a more gradual reduction through 2021 (APC: –0.84), and a marked acceleration between 2021 and 2023 (APC: –5.52). Males consistently had higher AAMRs than females (35.41 vs 23.32). Racial disparities persisted, with non-Hispanic (NH) White (29.5) and NH Black individuals (28.16) experiencing the highest rates, followed by NH American Indians (26.17), Hispanics (22.2), and NH Asian/Pacific Islanders (17.82). Mortality was also highest in nonmetropolitan areas (31.37) and the Western region (39.68). Notably, home deaths increased following the coronavirus disease 2019 pandemic. Overall, CA-related mortality in individuals with COPD has declined over the past 25 years, with sharper reductions observed in the post-coronavirus disease period. Despite these improvements, persistent and widening disparities underscore the need for targeted interventions in high-risk populations.

The increasing adoption of plant-based diets (PBDs) has raised questions regarding their adequacy in supporting muscular strength and performance, particularly given concerns around the amino acid profile and bioavailability of plant proteins. This review synthesises current meta-analytical and clinical trial evidence to address the "plant protein paradox," which posits that plant proteins are inferior for maintaining muscle mass and strength. Recent high-quality data reveal no significant differences in muscular strength or athletic performance outcomes between plant-based and omnivorous diets when total protein intake and quality are optimised. Mechanistic studies demonstrate comparable muscle protein synthesis rates across protein sources, with soy and certain mixed plant proteins showing anabolic potential equivalent to animal proteins. Clinical recommendations emphasise attention to protein quantity, quality, leucine content, and micronutrient sufficiency to maximise muscle health on PBDs. Specific populations—including older adults and athletes—can safely adopt plant-based nutrition without compromising strength or functional performance. This evidence supports a shift beyond traditional, protein hierarchy models, positioning plant-based diets as a viable strategy for musculoskeletal health alongside their cardiovascular and environmental benefits.

This cohort study examines trends in patient access of radiology imaging results after implementation of the 21st Century Cures Act in different clinical settings.

Abstract Background We compared long-term mortality and readmission rates after COVID-19 hospitalization based on rural-urban status and assessed the impact of COVID-19 vaccination introduction on clinical outcomes by rurality. Methods The study comprised adults hospitalized for COVID-19 at 17 hospitals in 4 US states between March 2020 and July 2022, followed until May 2023. The main analysis included all patients, whereas a sensitivity analysis focused on residents from 4 states containing 17 hospitals. Additional analyses compared the pre- and postvaccination periods. Results The main analysis involved 9325 COVID-19 hospitalized patients: 31% were from 187 rural counties in 31 states; 69% from 234 urban counties in 44 states; the mean age was 65 years (rural, 66 years; urban, 64 years); 3894 women (rural, 41%; urban, 42%); 8007 Whites (rural, 87%; urban, 83%); 1738 deaths (rural, 21%; urban, 17%); and 2729 readmissions (rural, 30%; urban, 29%). During a median follow-up of 602 days, rural residence was associated with a 22% higher all-cause mortality (log-rank, P &lt; .001; hazard ratio, 1.22; 95% confidence interval, 1.10-1.34, P &lt; .001), and a trend toward a higher readmission rate (log-rank, P = .038; hazard ratio, 1.06; 95% confidence interval, .98-1.15; P = .130). The results remained consistent in the sensitivity analysis and in both pre- and postvaccination time periods. Conclusions and Relevance Patients from rural counties experienced higher mortality and tended to be readmitted more frequently following COVID-19 hospitalization over the long term compared with those from urban counties, a difference that remained even after the introduction of COVID-19 vaccines.

Abstract Aims We developed new machine learning (ML) models and externally validated existing statistical models [ischaemic stroke predictive risk score (iScore) and totalled health risks in vascular events (THRIVE) scores] for predicting the composite of recurrent stroke or all-cause mortality at 90 days and at 3 years after hospitalization for first acute ischaemic stroke (AIS). Methods and results In adults hospitalized with AIS from January 2005 to November 2016, with follow-up until November 2019, we developed three ML models [random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBOOST)] and externally validated the iScore and THRIVE scores for predicting the composite outcomes after AIS hospitalization, using data from 721 patients and 90 potential predictor variables. At 90 days and 3 years, 11 and 34% of patients, respectively, reached the composite outcome. For the 90-day prediction, the area under the receiver operating characteristic curve (AUC) was 0.779 for RF, 0.771 for SVM, 0.772 for XGBOOST, 0.720 for iScore, and 0.664 for THRIVE. For 3-year prediction, the AUC was 0.743 for RF, 0.777 for SVM, 0.773 for XGBOOST, 0.710 for iScore, and 0.675 for THRIVE. Conclusion The study provided three ML-based predictive models that achieved good discrimination and clinical usefulness in outcome prediction after AIS and broadened the application of the iScore and THRIVE scoring system for long-term outcome prediction. Our findings warrant comparative analyses of ML and existing statistical method–based risk prediction tools for outcome prediction after AIS in new data sets.