Citations

Purpose: The purpose of the current study was to cross-validate previously developed RMR prediction equations using laboratory measurements of RMR as a criterion. Methods: National Collegiate Athletic Association (NCAA) Division I (n = 60) and III (n = 113) male wrestlers participated in the current study (n = 173; Age: 19.6 ± 1.5 yrs.; Height: 176.3 ± 6.3 cm; Weight: 76.6 ± 10.9 kg; Body Fat: 11.4 ± 3.0%). Indirect calorimetry was used to measure RMR and Skinfold thickness was used to estimate body fat percentage (BF%) during the preseason period under standardized dress (underwear only), fasting, and resting conditions. Results: Mean measured RMR was 2102±341 kcal·d −1 . All body mass-based RMR prediction equations significantly underestimated the measured RMR, with the exception of the Jagim and Schofield equations. The Tinsley fat-free mass (FFM) equation and the Cunningham equation had the lowest constant error (CE) values when compared to measured RMR (mean bias ± standard error: 80 ± 20 kcal and 126 ± 20 kcal·d −1 , respectively). Linear regression indicated the Tinsley FFM (R 2 = 0.422, RMSE = 279 kcals, %RMSE = 13.3%), and Cunningham FFM equations had the closest agreement to measured RMR (R 2 = 0.422, RMSE = 301 kcals, %RMSE = 14.3%), along with the Jagim equation for a body mass-based prediction equation (R 2 = 0.377, RMSE = 338 kcals, %RMSE = 16.1%). The standard error of the estimate (SEE) ranged from 260 to 272 kcal·day −1 across equations. Coefficients of determination (R 2 ) ranged from 37% to 42%. The new body mass and FFM-based equations exhibited good agreement based on the CE (26 and -13 kcal·day −1 ), RMSE (274 and 252 kcal·day −1 ), respectively. Conclusions: The newly developed equations demonstrated mean bias <2% of measured RMR.

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&lt;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.

PURPOSE To evaluate open-source large language models (LLMs) for extracting cancer-specific phenotypic data, benchmark their performance against GPT4 models, and assess the impact of fine-tuning with training data sizes. METHODS Open-source LLMs (Mistral, LLaMa, MAMBA, BioMistral) were evaluated in zero-/one-shot and fine-tuned setups against GPT4-turbo/GPT4o to extract the cancer presence, progression, response, and metastatic sites from radiology impressions of patients with solid tumors treated at Dana-Farber Cancer Institute. Performance metrics (accuracy, precision, recall, F1-score) were computed. McNemar's odds ratio (OR), measuring which model is more likely to be correct when they disagree, was computed with 95% CI. Statistical significance was assessed using the alpha of .000139. RESULTS This study included 2,623 patients (25,273 radiology impressions). In zero-/one-shot settings, GPT4-turbo/GPT4o outperformed open-source LLMs. However, fine-tuned open-source LLMs achieved higher F1-scores than GPT4 models. Compared with the best-performing GPT4 model, fine-tuned Mistral0.2-7.3B (OR, 0.27 [95% CI, 0.20 to 0.36]; P < .00001), Mistral0.3-7.3B (OR, 0.26 [95% CI, 0.19 to 0.36]; P < .00001), LLaMa2-6.7B (OR, 0.30 [95% CI, 0.22 to 0.40]; P < .00001), LLaMa3.1-8B (OR, 0.37 [95% CI, 0.28 to 0.48]; P < .00001), and MAMBA-2.8B (OR, 0.32 [95% CI, 0.24 to 0.42]; P < .00001) showed significantly better performance in ascertaining disease progression. Performance was consistently better for inferring overall response, any evidence of cancer, and sites of metastases, with no significant differences among fine-tuned open-source LLMs. Fine-tuning gains plateaued at 25% of training data (5,718 impressions) and remained comparable at 5% (1,144 impressions). CONCLUSION Open-source LLMs, when fine-tuned using labeled data, can effectively automate the ascertainment of key radiophenotypic variables using only the impression section of radiology reports, without the full report text. Their consistent performance in small training sets suggests that these models may provide a scalable approach for phenotypic characterization of patients with cancer in real-world clinical settings.

Introduction: Inclusive hair and skin care are essential for culturally congruent health care; however, hospitalized patients with textured hair and skin of color experience limited access to appropriate products. Nursing staff also report gaps in knowledge related to culturally responsive care of hair and skin. This initiative aimed to improve care through product access and education. Methods: A quality improvement project was conducted at a Midwestern academic medical center. Surveys of nurses, patient care assistants, and employee resource groups informed product selection and education design. Interventions included stocking products and providing education supported by a webpage and video library. Results: Post-education evaluations showed increased knowledge of hair and skin care, along with improved confidence and ability to provide culturally sensitive care. Discussion: Addressing hair and skin care through access to products and education enhances patient care. This model offers a replicable framework to improve inclusive hair and skin care practices.

Acute cholecystitis affects ∼200,000 individuals annually in the United States, with laparoscopic cholecystectomy as the gold standard treatment. However, in high-risk surgical candidates, alternative drainage methods are necessary. Percutaneous transhepatic gallbladder drainage (PT-GBD) has traditionally served as the primary alternative intervention, offering rapid decompression, but is limited by a negative impact on the patient’s quality of life, the risk of long-term or even permanent tube placement, adverse events, and high recurrence rates. Endoscopic approaches, such as endoscopic transpapillary gallbladder drainage (ET-GBD) and, more recently, endoscopic ultrasound-guided gallbladder drainage (EUS-GBD), have emerged as viable alternatives to PT-GBD. EUS-GBD, first introduced in 2007, offers technical and clinical outcomes comparable to PT-GBD with fewer adverse events, shorter hospital stays, and lower rates of recurrence. The introduction of lumen-apposing metal stents (LAMS) has revolutionized EUS-GBD, simplifying deployment and enabling subsequent internal gallbladder access, which allows additional interventions such as cholecystoscopy and stone removal. EUS-GBD is now supported by international guidelines, and 1 device has achieved FDA approval for the management of acute cholecystitis in nonsurgical candidates. Proper patient selection is essential, guided by multidisciplinary evaluation, with EUS-GBD contraindicated in specific scenarios such as gallbladder perforation, coagulopathy, and large-volume ascites. Technical considerations include choice of access site (transgastric versus transduodenal), stent type, and procedural route [direct (freehand) or wire-guided]. Postprocedural care and stent management remain variable and nonstandardized. Emerging data suggest that interval cholecystectomy can still be performed safely after EUS-GBD. As adoption of EUS-GBD with LAMS expands, structured training and standardization of practice are crucial to optimizing outcomes.

An accurate differential diagnosis for diffuse lung disease can be confidently established by using a systematic approach to identify the predominant radiographic pattern, determine the distribution of disease, and assess for architectural or volume change.

Hydrocephalus has treatment options including either temporary or permanent cerebrospinal fluid (CSF) diversion, and radiologists should be familiar with shunt components and understand the characteristic imaging features and appearances of different types of shunt malfunctions and shunt-related complications.

The study establishes the presence of a robust mitophagic response to acute mitochondrial depolarization in hASM cells mediated through the canonical PINK1-Parkin pathway. By integrating quantitative mitochondrial labeling and biochemical analyses, we demonstrate increased mitochondrial damage and remodeling, accompanied by mitochondrial PINK1 accumulation and Parkin activation, resulting in ubiquitin-dependent signaling and lysosomal engulfment. These findings identify mitophagy as a critical adaptive mechanism for maintaining mitochondrial quality control in airway smooth muscle cells during metabolic stress.

Importance Limited granular data exist on breast cancer in transgender, nonbinary, and/or gender-diverse (TGD) individuals. Objective To describe patient demographic and tumor clinicopathological variables, clinically relevant risk factors, method of breast cancer detection, treatment characteristics, and locoregional outcomes and to estimate a 5-year breast cancer–specific survival (BCSS). Design, Setting, and Participants This cohort study obtained data on patients treated from 1990 to 2023 from 22 US academic medical centers using institutional databases, electronic medical records, and tumor registries. Included participants were TGD individuals 18 years or older with stage 0 to IV breast cancer. A comparative breast cancer cohort was selected from the 2016 to 2021 Surveillance, Epidemiology, and End Results Program (SEER) breast cancer dataset. Data were analyzed from January to October 2025. Exposure Breast cancer. Main Outcomes and Measures Estimated 5-year BCSS and locoregional recurrence rates. Wilcoxon rank sum and χ 2 tests were used to compare continuous and categorical variables. Kaplan-Meier analysis was used to estimate 5-year BCSS. Results A total of 112 TGD persons (median [IQR] age at diagnosis, 42.5 [36.5-51.0] years; 104 individuals [92.9%] were assigned female at birth) with breast cancer and 1 with bilateral disease were included in the analysis. Forty-three patients (38.4%) used gender-affirming hormone therapy before diagnosis. Among the entire cohort, 58 patients (51.8%) detected their own breast cancer, 68 (60.7%) had a familial breast cancer history, and 16 (14.3%) had a pathogenic germline variant. Tumors were predominantly hormone receptor positive (96 [85.7%]) and early stage (29 [25.7%] ductal carcinoma in situ [DCIS]; 51 [45.1%] stage I). The TGD cohort, compared with patients with breast cancer in the SEER dataset (N = 480 915), was younger (median [IQR] age, 42.5 [36.5-51.0] years vs 62.0 [52.0-72.0] years), had a higher proportion of persons assigned male at birth (8 [7.1%] vs 3522 [0.7%]), more often had progesterone receptor–positive disease (89 [79.5%] vs 335 491 [69.8%]), and presented with earlier-stage disease (eg, DCIS: 29 [25.9%] vs 79 604 [16.6%]). With a median (IQR) follow-up time for the TGD cohort of 38 (24-74) months, 5-year BCSS was favorable at 96.2% (95% CI, 85.3%-99.0%). Conclusions and Relevance This cohort study of TGD patients with breast cancer found that this population was young and often detected their own tumors via self-examination, suggesting opportunities to improve early detection through screening for individuals at elevated risk. Although short-term BCSS appeared favorable, prospective research is essential to define evidence-based guidelines and elucidate long-term outcomes.