Citations

Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease type (invasive breast cancer, DCIS), and risk threshold. Methods: In a retrospective case–control study, we evaluated risk prediction performance in 180,398 women (161,849 of European ancestry; 18,549 of Asian ancestry). Odds ratios (ORs) from logistic regression models and the area under the receiver operating characteristic curve (AUC) were estimated. Results: PRS for invasive disease showed a stronger association in younger (<50 years) women (OR = 2.51, AUC = 0.622) than in women ≥ 50 years (OR = 2.06, AUC = 0.653) of European ancestry. PRS performance in Asians was lower (OR range = 1.62–1.64, AUC = 0.551–0.600). Gail performance was modest across groups and poor in younger Asian women (OR = 0.94–0.99, AUC = 0.523–0.533). Age interactions were observed for both PRS (p < 0.001) and Gail (p < 0.001) in Europeans, whereas in Asians, age interaction was observed only for Gail (invasive: p < 0.001; DCIS: p = 0.002). PRS identified more high-risk individuals than Gail in Asian populations, especially ≥50 years, while Gail identified more in Europeans. Overlap between PRS, Gail, and family history was limited at higher thresholds. Calibration analysis, comparing empirical and model-based ROC curves, showed divergence for both PRS and Gail (p < 0.001), which indicates miscalibration. In Europeans, family history and prior biopsies drove Gail discrimination. In younger Asians, age at first live birth was influential. Conclusions: PRS adds value to risk stratification beyond traditional tools, especially in younger women and Asian ancestry populations.

Introduction: The Impella 5.5 is frequently employed to provide temporary mechanical circulatory support as bridge to recovery or durable therapy. Optimization of device management relies on understanding ventricular pressure-volume (PV) relationships. Aim: The aim of this study was to evaluate the biventricular (BiV) relationship with PV loop assessment during Impella 5.5 support in non-myopathic ventricles. Methods: Six domestic Yorkshire Pigs were used for this study. The Impella 5.5 (J&J MedTech, NJ) was inserted percutaneously under ultrasound and fluoroscopic guidance through either the carotid artery or aortic arch, using a 26Fr DrySeal Sheath (Gore, AZ). BiV PV loop conductance catheters (Sigma-M, CD Leycom, Hengelo, The Netherlands) were inserted via femoral venous access. The LV PV loop catheter is positioned via transeptal puncture and with intracardiac echocardiogram guidance. BiV PV loops are generated for each level of Impella 5.5 support. Results: With increasing levels of Impella 5.5 support, left ventricular (LV) PV loops shifted increasingly to the left and right ventricular (RV) loops to the right. Accordingly, LV end-diastolic volume (EDV) decreased (110±4 ml to 90±8 ml; p<0.001) and RV EDV increased (121±7 ml to 147±13 ml; p<0.001), from baseline to P9. Native LV systolic function decreased with increasing Impella 5.5 support, as demonstrated by a reduction in stroke volume (SV) (56±5 ml to 49±5 ml; p<0.001), cardiac output (CO) (3.4±0.8 ml/min to 2.0±0.3 ml/min; p<0.001), ejection fraction (EF) (51±4% to 44±6%; p<0.001), stroke work (SW) (4483±1023 ml*mmHg to 2383±719 ml*mmHg; p<0.001), and LV peak positive dP/dt (825 ± 184 mmHg/s to 523 ± 99 mmHg/s; p<0.001). Conversely, the native RV experienced preload-mediated increase in SV (65±7 ml to 86±20 ml; p<0.001), CO (3.7±0.8 ml/min to 4.3±0.9 ml/min; p<0.001), EF (53±4% to 58±11%; p<0.001), SW (918±143 ml*mmHg to 1529±365 ml*mmHg; p<0.001), and RV dP/dt (164±16 mmHg/s to 228±29 mmHg/s, p<0.001). Load independent contractility was assessed in the LV (1.64±0.33 mmHg/ml to 1.71±0.41 mmHg/ml; p=0.2) and RV (0.25±0.04 mmHg/ml to 0.29±0.05 mmHg/ml; p<0.001). Conclusions: This study highlights ventricular interdependence with Impella 5.5 support with opposing BiV trends. In a healthy heart, the RV can adequately compensate for increased preload offered by the device.

Introduction: Microaxial flow pumps reduce mortality in myocardial infarction (MI) related cardiogenic shock (CS). The Impella 5.5 generates increased flow to provide circulatory support, and optimization relies on mechanistic understanding of pressure-volume (PV) relationships. Aim: Using a porcine model of acute MI in tandem with biventricular (BiV) PV loop conductance catheters, this study aimed to understand the impact of Impella 5.5 on BiV hemodynamics in MI CS. Methods: In 6 Domestic Yorkshire Pigs, an Impella 5.5 (J&J MedTech, NJ) was inserted percutaneously under fluoroscopic guidance via carotid or aortic access. An angioplasty balloon catheter was advanced past the first diagonal and inflated to above nominal pressure with blood flow obstruction for 90 minutes. BiV PV loop conductance catheters (Sigma-M, CD Leycom, Hengelo, The Netherlands) were inserted via femoral venous access. The left ventricle (LV) PV loop catheter is positioned via transeptal puncture using intracardiac echocardiography. BiV PV loops are generated for each level of Impella support from P1 to P7. Results: With increasing Impella 5.5 support, LV PV loops shifted to the left and right ventricular (RV) loops to the right. Without statistical significance, LV end diastolic volume (EDV) decreased by a mean of 12.3 ± 10.7% from baseline and RV EDV increased by 32 ± 40%. Native LV function decreased with increasing Impella 5.5 support, demonstrated by a reduction in stroke volume (SV) (35±13 ml to 27±14 ml; p<0.001), cardiac output (CO) derived from SV&heart rate (2.0±0.5 ml/min to 1.7±0.7 ml/min; p<0.001), and ejection fraction (EF) (37±7% to 29±12%; p<0.001). Less consistent trends were noted in peak positive dP/dt and end-systolic pressure volume relationship. Native RV function increased with higher levels of Impella 5.5 support, noted by increasing SV (27±24 ml to 41±28 ml; p=0.004), CO (1.6±1.2 ml/min to 2.3±1.4 ml/min; p=0.001), and EF (42±16% to 45±9%; p=0.04). Arterial elastance and ventriculo-arterial coupling increased in the LV from baseline to P7 (2.2±1.4 mmHg/ml to 2.8±1.0 mmHg/ml and 1.8±0.5 to 3.2±1.9, respectively; p<0.001) and decreased in the RV (1.3±0.7 mmHg/ml to 0.9±0.7 mmHg/ml (p<0.001) and 2.1±2.2 to 1.3±0.6 (p=0.004)). Conclusions: Impella 5.5 speed modulation highlights significant ventricular interdependence in the setting of acute MI. PV loop derived parameters here visualized parameters that may be utilized to improve optimization of hemodynamic support in CS.

Background. Metabolic dysfunction–associated steatotic liver disease (MASLD) is increasingly recognized as a significant indication for liver transplantation (LT) in North America. Yet data on its impact in other countries, such as Spain, remain limited. This study aimed to evaluate the prevalence and trajectory of MASLD-related LT in Spain and compare these findings with broader national data and international data sets. Methods. Multicenter retrospective cohort study including adults (18 y and older) undergoing LT for MASLD between 2010 and 2023 in 5 large Spanish centers. Additional data were obtained from the Spanish Transplant Registry (Organización Nacional de Trasplantes) and high-prevalence LT centers in the United States (n = 7) and Canada (n = 1). Results. Among 3448 LTs performed in the 5 Spanish centers, 3.4% (n = 117) were MASLD-related. An increasing trajectory of MASLD-related LT was observed, with predictions suggesting a rise to 5.4%–10.8% of LTs for MASLD by 2028. These trends were consistent with Organización Nacional de Trasplantes data. Compared with North American data, the growth trajectory in Spain showed a less steep increase. Hepatocellular carcinoma rates were higher in the Spanish MASLD-LT recipients, yet metabolic comorbidities were frequent in all populations. Conclusions. The burden of MASLD-related LT in Spain is growing, yet at a less pronounced rate than in the United States/Canada. Whether this slower increase will persist or decline in the future as newer antiobesity and MASLD-related drugs are increasingly used is still unknown. In the meantime, our results highlight the need for tailored approaches to management and prevention in the Spanish population and underscore the importance of continued monitoring and research into the evolving impact of MASLD on LT in Spain and beyond.

Abstract Clinical flow cytometry laboratories are facing rising test volumes, greater assay complexity, and increasing requirements for quality control and assay validation. In response, the International Clinical Cytometry Society (ICCS) conducted a workload survey in early 2023 to gather updated information on assay volumes, complexity, staffing, and technology. Data analysis focused on identifying correlations between length of time to introduce new assays and other factors as a means to gain insight about laboratories that seem to be either adapting or struggling. Flow cytometry assays were categorized into 3 levels of technical/interpretative complexity: high (e.g., measurable/minimal residual disease (MRD assays)), moderate (e.g., leukemia/lymphoma assays (Assays L&L ), excluding MRD assays), and low (e.g., CD4 count). Annual assays per staff member were calculated according to staff involved in case sign‐out (Staff Signout ) or other laboratory operations (Staff LabOps ). Respondents were from 101 laboratories in the United States (69.3%), Canada (4.0%), and other countries (26.7%). Low, moderate, and high technical/interpretative complexity assays were performed in 85.1%, 97.0%, and 47.5% of all laboratories, respectively. Median annual total assays (Assays Total ) per laboratory were 3515 and, based on complexity, were 1518.5 (low), 1808.8 (moderate), and 350 (high). Among all laboratories, the median time (interquartile range) to introduce new Assays L&L was 6 mos. (4–12 mos.), to introduce MRD assays was 11 mos. (5–12 mos.), and to validate/go‐live with new cytometers was 8 mos. (4–12 mos.); these times positively correlated with each other. This study confirmed significantly increased workload since the prior ICCS 2013 workload survey with a concurrent decrease in Staff LabOps . Faster introduction of new assays correlated with other successes, including quicker validation of and going live with new cytometers. Among all laboratories, those that performed myeloid MRD assays versus those that did not were also found to be faster to introduce new assays. The need for sufficient staffing has been emphasized because laboratories with both higher annual volumes of myeloma MRD assays and higher ratios of Assays Total per Staff LabOps were slower to introduce new assays. “Lack of staff and/or time dedicated or protected for assay development” and, more generally, “staff number” were the most commonly identified major barriers for new assay development, with the former specifically linked to slower introduction of new assays among all laboratories.

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.

OBJECTIVES The Pediatric Emergency Care Applied Research Network (PECARN) cervical spine injury (CSI) clinical prediction rule (CPR) was developed to reduce unnecessary imaging in pediatric trauma patients and ensure accurate diagnosis. This study aimed to identify barriers and facilitators to future implementation of this rule in diverse emergency department (ED) settings. METHODS We conducted 40 interviews with 48 clinicians, including ED physicians, surgeons, nurses, and advanced practice providers at 21 health care facilities across the United States. Semistructured interviews explored determinants impacting implementation, guided by the Tailored Implementation for Chronic Diseases (TICD) framework. We conducted a deductive thematic analysis using the TICD domains as a priori codes. Three researchers independently coded the transcripts and identified key themes aligned with the TICD framework. RESULTS Barriers included limited guideline accessibility, workflow disruptions, and inconsistent integration with electronic health records. Clinicians’ concerns regarding the applicability and adherence to guidelines were also significant. Facilitators identified included institutional support, stakeholder engagement, and targeted education that addressed knowledge gaps. Implementation strategies varied by context, with suggestions for electronic health record-based decision tools in resource-equipped facilities and external aids, such as pocket cards, in lower-resource settings. Addressing legal concerns, clinician resistance, and workflow alignment emerged as critical priorities. CONCLUSION Implementing the PECARN CSI CPRs requires addressing contextual barriers such as workflow challenges, clinician adherence, and technology integration. Context-sensitive strategies are essential for successful adoption and improved decision-making in pediatric trauma care. Future research should evaluate the impact of these strategies on clinician behavior and patient outcomes.