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BACKGROUND: Although chronic obstructive pulmonary disease (COPD) and heart failure with preserved ejection fraction often coexist with overlapping clinical features, they are usually studied separately. The SPIROMICS HF (Subpopulations and Intermediate Outcome Measures in COPD and Heart Failure Study) is testing hypotheses that new computed tomography emphysema subtypes are associated with specific cardiovascular phenotypes (eg, cor pulmonale , cor pulmonale parvus ), common airway branch variants are associated with right heart dysfunction, and symptomatic tobacco-exposed persons with preserved spirometry have signs of increased left ventricular afterload. METHODS: SPIROMICS is a multicenter observational study of COPD with extensive pulmonary phenotyping of participants with ≥20 pack-years smoking and nonsmoking controls. COPD and COPD severity were defined by standard spirometric criteria and symptomatic tobacco-exposed persons with preserved spirometry by ≥20 pack-years, normal spirometry, and COPD Assessment Test score >10. SPIROMICS HF selected all participants in SPIROMICS visit 5 at major sites. Its comprehensive speckle-tracking echocardiography, which included physiological perturbations of leg raise and low-intensity exercise, was harmonized prospectively with the Multi-Ethnic Study of Atherosclerosis Early Heart Failure and HeartSHARE (Combining Omics, Deep Phenotyping, and Electronic Health Records for Heart Failure Subtypes and Treatment Targets) studies. The cardiopulmonary magnetic resonance imaging protocol with gadolinium administration included myocardial fibrosis sequences, pulmonary angiography, time-resolved 3-dimensional cine magnetic resonance imaging (4-dimensional flow) of venous return, and metronome-paced tachypnea to induce dynamic hyperinflation. Coronary artery calcium was assessed on computed tomography scans. The Kansas City Cardiomyopathy Questionnaire was administered. RESULTS: Of the final sample of 753 participants, 57% had COPD (15% mild, 27% moderate, and 15% severe), 18% had symptomatic tobacco-exposed persons with preserved spirometry, 16% were smoking controls, and 8% were nonsmoking controls. Reproducibility of the main measures from speckle-tracking echocardiography (intraclass correlation coefficient, 0.83–0.99), exercise echocardiography (intraclass correlation coefficient, 0.71–0.99) and magnetic resonance imaging (intraclass correlation coefficient, 0.57–0.99) were good-to-excellent, including in severe COPD. CONCLUSIONS: SPIROMICS HF aims to characterize and understand cardiopulmonary interactions in COPD and COPD-related phenotypes to inform targeted treatments for combined cardiopulmonary failure.

Background Elevated lipoprotein(a) [Lp(a)] and low high-density lipoprotein-cholesterol (HDL-C) are established cardiovascular (CV) risk factors, but their combined impact on mortality and sex differences remains unclear. Methods This retrospective study analyzed 97 396 patients with measured Lp(a) and HDL-C. Groups were stratified by Lp(a) (≥50 vs. <50 mg/dl) and HDL-C [low (<40), optimal (40–60), high (>60 mg/dl)]. Mortality was assessed using the Kaplan–Meier curve and Cox models. Results Over a median of 5.9 years, 7794 deaths occurred. Compared to optimal HDL-C/low Lp(a) (reference), high HDL-C/low Lp(a) had the lowest mortality [adjusted hazard ratio (aHR): 0.85; 95% confidence interval (CI): 0.80–0.91], while low HDL-C/high Lp(a) had the highest risk (aHR: 1.55; 1.41–1.71). High HDL-C protective effect was insignificant with elevated Lp(a) (aHR: 0.98; 0.89–1.08). Sex-stratified analyses revealed divergent effects: women with high HDL-C/high Lp(a) retained the HDL-C protective effect (aHR: 0.82; 0.72–0.93), whereas men faced increased risk (aHR: 1.22; 1.05–1.42). Conclusion Elevated Lp(a) enhances mortality risk despite elevated HDL-C levels, with sex-specific differences: women retain mortality benefits from high HDL-C despite elevated Lp(a), whereas men with concurrent elevations in HDL-C and Lp(a) experienced mortality risks comparable to those with low HDL-C. Findings underscore sex-specific CV risk stratification incorporating HDL-C and Lp(a), challenging the HDL-C universal protective role.

Background. Assessment tools in surgical education help identify improvement areas for trainees. We developed and present validity evidence for a novel Transplant Operative Assessment Tool to optimize technical feedback for surgical trainees in transplantation. Methods. The Transplant Operative Assessment Tool assesses learners on anatomy, technical skills, judgment, and communication. Performance is rated across 5 competency levels. Content validity evidence included a construct map using existing literature and expert cognitive interviews. Ratings were used to develop an item response theory calibration, which was then used to evaluate the tool and provide validity evidence. Results. Eighty-two assessments for 28 trainees (16 residents, 12 fellows) were completed by 25 faculty surgeons across 4 programs. Fifty-six kidney transplants, 13 liver transplants, and 13 donor nephrectomies were assessed. The mean assessment completion time was 4.1 ± 4.3 min. Internal structure validity was evaluated by calculating item infit (range, 0.86–1.15), indicating a strong model fit and confirming a high quality of items. Internal consistency was also high (Cronbach’s alpha = 0.94). There was a positive correlation between ratings and training level ( P < 0.01), indicating strong discriminatory power. Warm ischemia time for transplant operations did not correlate with performance ( P = 0.16). Conclusions. These data provide validity evidence for a novel operative assessment tool. This instrument can measure performance, monitor progress, document competency, and has the potential to provide valuable feedback.

Acute exposure to hypoxia will induce right ventricular (RV) hemodynamic changes and may increase the degree of right-to-left shunting, which can contribute to dyspnea at altitude. In this retrospective study, 125 patients (median age 66 years; 50.4% women) with unexplained dyspnea at altitude underwent hypoxic simulation testing (HST) with transthoracic echocardiography (TTE). During simulated hypoxia (mode (Min-Max) altitude: 8000 (6000–18,000) ft, were observed a significant decrease in oxygen saturation (97% (95–98) vs. 88% (82–92), p < 0.001) and RV free wall longitudinal strain (−19.6 ± 3.99% vs. −17.3 ± 4.17%, p < 0.01), an increase in RV systolic pressure (RVSP: 26 (23–30.5) vs. 29 (25–36.5) mmHg, p < 0.001). No significant changes were observed in TAPSE (20 (18–23) vs. 20 (19–24) mm) or S wave (0.12 (0.11–0.14) vs. 0.13 (0.12–0.14) m/s). Right-to-left shunting was present in 47.2% of patients and 11.9% exhibited inducible shunting only under hypoxia. However, under hypoxia, there were no significant differences in RV hemodynamic parameters or saturation between those with and without shunting. TTE with HST is useful to characterize both cardiopulmonary response and the dynamic changes in right-to-left shunt behavior under hypoxic stress.

Background: The progression of CHF after MI has been traditionally evaluated by serial changes in EF. However, mechanical parameters can provide a greater insight into cardiac function. Wall strain measures myocardial deformation, and reflects contractile function as a percentage change in length. Wall stress represents the force per unit area on the myocardium, as an evaluation of LV afterload. The relationship between wall stress and wall strain is termed Young’s modulus, and it represents cardiac elasticity. This study leverages in-vivo Young’s modulus analysis derived from cardiac MRI, which has the potential to quantify the extent of myocardial remodeling, and aid in early detection of heart failure progression. Hypothesis: We hypothesize that Young’s modulus offers a more detailed assessment of regional wall motion abnormality than conventional imaging measures alone. Methods: Male Yucatan mini-swine underwent 90-minute balloon occlusion-reperfusion of the left anterior descending coronary artery to induce MI (N=13). Cardiac MRIs were obtained at baseline and 1-month post-MI. Cardiac wall stress and wall strain were calculated separately in the anteroseptal (infarcted) and inferolateral (non-infarcted) regions, and in the longitudinal and circumferential fiber orientations. These measurements were correlated to determine the Young’s modulus of the LV. Results: Anteroseptal and inferolateral longitudinal Young’s modulus increased from 28.01±8.14 to 67.14±15.08 kPa (p < 0.05) from 13.88±1.92 to 38.80±7.29 kPa (p < 0.001), respectively. Anteroseptal and inferolateral circumferential Young’s modulus increased from 34.61±10.33 to 119.17±30.94 kPa (p < 0.05) and from 16.77±1.32 to 58.76±18.98 kPa (p < 0.001), respectively. The regional changes were accompanied by a decrease in EF from 60.6±1.5 to 50.9±3.3% (p < 0.01). Discussion: Our findings show that Young’s modulus is a valuable parameter in quantifying regional changes that occur with LV systolic dysfunction after ischemic insult; specifically that regional abnormalities occur in the non-infarcted area as well as the infarcted area––a change that would not be picked up by global LV EF. Thus, quantifying regional and directional cardiac elasticity non-invasively is a novel parameter that warrants further study. Prior research has explored the in-vitro characteristics of cardiac elasticity, but there is limited research that details the in-vivo changes within any disease affecting myocardial fiber contractility.

Background/Objectives: Chordoma, a rare slow-growing malignant bone tumor, remains therapeutically challenging due to its invasive nature. We examined institutional outcomes comparing imatinib and brachyury-directed vaccines. Methods: We used data from three sites of our quaternary care academic institution to analyze demographics, time to progression, overall survival, and adverse events in chordoma patients treated with imatinib or enrolled in a brachyury vaccine trial. Results: We included a total of 52 patients (8 in the brachyury vaccine cohort and 44 in the imatinib cohort) in the analysis. As expected, sacrococcygeal location was the most predominant in both cohorts: 62.5% in the brachyury cohort and 45.5% in the imatinib cohort. No demographic differences were present between the cohorts. ECOG was similar in both groups (p = 0.796). The primary outcome, time to progression (TTP), was shorter in the brachyury compared to the imatinib cohort (5.6 vs. 13 months, p = 0.0589), almost reaching statistical significance. Overall survival (OS) was comparable, 211 vs. 212 months for the brachyury and imatinib cohorts, respectively (p = 0.277). Although the brachyury vaccine cohort presented a higher incidence of adverse events than the imatinib cohort (75% vs. 31.8%, p = 0.021), the severity was milder. Conclusions: Imatinib showed longer disease control than the brachyury vaccine, though overall survival was similar. Future studies and deeper molecular insights are essential to develop better therapies and improve patient quality of life.

Abstract INTRODUCTION M0 images were missing in Siemens ASL data in Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, prohibiting cerebral blood flow (CBF) quantification. METHODS A conditional latent diffusion model was trained and evaluated on in‐house datasets, then applied to the Siemens data in ADNI‐3. Regional CBF differences by Alzheimer's disease (AD) stages, their accuracy for AD classification, and CBF trajectory slopes were compared between generated data (Siemens) and acquired data (General Electric). RESULTS The diffusion model generated M0 images with high fidelity (SSIM = 0.918 ± 0.023, PSNR = 31.361 ± 2.537) and minimal CBF bias (mean difference is 0.21 ± 1.58 mL/100 g/min). Both generated and acquired CBF showed similar spatial patterns and decreasing trends with AD progression in specific AD‐related regions. Generated CBF also improved accuracy in classifying AD stages compared to qualitative perfusion images. CONCLUSION This study shows the potential of diffusion models for imputing missing modalities in large‐scale studies exploring the use of ASL as a biomarker of AD. Highlights Using latent diffusion model, we can generate M0 image from control image in arterial spin labeling (ASL) with high fidelity. The generated M0 can be used for cerebral blood flow (CBF) quantification in Alzheimer's Disease Neuroimaging Initiative dataset. The performance of classification between Alzheimer's disease (AD) patients and cognitive normal people is better when using generated CBF maps than using non‐quantitative perfusion images. ASL CBF decreases with AD progression in key AD‐related brain regions.

Abstract Purpose: Mouse models demonstrate a role for RANK and its ligand, RANKL, in osteosarcoma. The primary objective of this single-arm, open-label phase 2 trial was to determine whether denosumab, a RANKL mAb, improved disease control in recurrent osteosarcoma relative to benchmarks derived from historic Children’s Oncology Group clinical trial data. Patients and Methods: Skeletally mature patients ages 11 to 49 years old with measurable disease were eligible for cohort 1, and those with complete surgical resection of all sites of disease were eligible for cohort 2. Patients received denosumab 120 mg subcutaneously every 4 weeks with calcium and vitamin D supplementation. The primary endpoints were RECIST response and remaining event-free for 4 months for cohort 1 and remaining event-free for 12 months for cohort 2. Toxicity, pharmacokinetics, and pharmacodynamic effects were additional endpoints. Results: Fifteen patients in cohort 1 and 38 in cohort 2 were eligible and evaluable for the primary endpoint. One of 15 cohort 1 patients remained event-free at 4 months. There were no objective responses. Ten of 38 cohort 2 patients were event-free at 12 months. The predefined efficacy criteria were not met in either cohort. The most common ≥ grade 3 adverse events were hypocalcemia and hypophosphatemia (8% and 11%, respectively). At steady state, mean serum denosumab trough concentrations were 23.7 to 31 μg/mL in cycles 2 to 7. Serum c-telopeptide and urine n-telopeptide decreased on treatment. Conclusions: Denosumab was well-tolerated with anticipated side effects and pharmacokinetic and pharmacodynamic parameters but had insufficient activity for further development in osteosarcoma.

Abstract Importance Voice-based health technologies are growing rapidly, but they lack standardized terminology, which hinders interdisciplinary collaboration, research quality, and clinical translation. Objective The objective of this work is to develop universally accepted definitions in the rapidly evolving field of vocal biomarkers, as part of the VOCAL ( V ocal Biomarker Guidelines for O ntology, C lassification, A pplication, and L ogistics) initiative, a structured, international consensus-based framework that aims to provide standards, and guidelines. Design VOCAL is a rigorous, international, multi-stage consensus-building study conducted in 2024-2025. Setting Multi-institutional collaboration between representatives from the Bridge2AI-Voice Consortium (North America) and the eVoiceNet Network (European Union), culminating in an in-person workshop at the 2025 Bridge2AI Voice Symposium. Participants A group of 24 international experts in medicine, clinical research, speech and language, audio signal processing, statistics, methodology, regulation, ethics. Methods VOCAL’s iterative process involved five rounds of review, feedback, and an in-person workshop at the international 2025 Bridge2AI Voice Symposium, ensuring the incorporation of diverse perspectives and achieving a robust agreement on the proposed definitions. Main outcomes and measures Consensus-based definitions for vocal biomarkers, spanning from broad concepts (biomarker, digital biomarker, vocal biomarker) to domain-specific measures (cardio-respiratory acoustic, voice, speech/articulatory, cognitive/language). Results A hierarchical continuum model of vocal biomarkers was established. We first distinguished between the concepts of vocal measures and vocal biomarkers. We then defined terms from broad, overarching concepts (Level 0: Biomarker, Digital Biomarker, Vocal Biomarker) to more specific physiological and cognitive domains (Level 1: Cardio-Respiratory Acoustic; Level 2: Voice; Level 3: Speech/Articulatory; Level 4: Cognitive/Language, including linguistic and paralinguistic subtypes). Conclusions and Relevance This work provides a shared vocabulary that is essential for fostering communication through interdisciplinary collaboration, improving the quality and efficiency of research and development, and ensuring the ethical, reliable, and scalable deployment of future voice-based health technologies. It lays foundational groundwork for upcoming guidelines and standards, which are crucial for advancing the field of vocal biomarkers into widespread clinical utility. Key points Question Can we establish an international consensus on the definitions related to vocal biomarkers? Findings Through a multi-stage international consensus process involving expert representatives from the Bridge2AI-Voice Consortium and eVoiceNet Network, a hierarchical model of vocal biomarkers was developed, defining terms from broad concepts (biomarker, digital biomarker, vocal biomarker) to specific physiological and cognitive domains (cardio-respiratory acoustic, voice, speech/articulatory, cognitive/language). Meaning Standardized definitions for vocal biomarkers provide an essential shared vocabulary for interdisciplinary collaboration and lay the foundational groundwork for future guidelines needed to advance the implementation of voice-based health technologies into clinical practice and clinical research.