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Background: Resistant hypertension (RH), defined as uncontrolled blood pressure (BP) despite ≥3 antihypertensive agents at maximally tolerated doses, remains a significant therapeutic challenge. Device-based renal denervation (RDN), using either radiofrequency (RF) or ultrasound (US) ablation, has shown promise in reducing BP. While both methods have demonstrated efficacy versus sham controls in randomized controlled trials (RCTs), direct comparisons remain limited. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of RF- and US-based RDN in patients with resistant hypertension. Methods: Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science through April 2025 for RCTs comparing RDN versus sham in RH. Eligible trials reported systolic or diastolic BP outcomes via ambulatory, office, or home measurements. Pooled mean differences (MD) and risk ratios (RR) were calculated using a random-effects model. Subgroup analyses were conducted by RDN modality and follow-up duration. Results: Seventeen RCTs met inclusion criteria. RDN significantly reduced ambulatory systolic BP (MD: −3.14 mmHg; 95% CI: −5.30 to −0.98; p=0.004) and diastolic BP (MD: −1.40 mmHg; 95% CI: −2.45 to −0.35; p=0.009) compared to sham. RF-based RDN showed consistent statistically significant reductions in both SBP and DBP across ambulatory and in-office measurements. In contrast, US-based RDN demonstrated variable efficacy, with only daytime DBP showing a marginal benefit (MD: −1.32 mmHg; p=0.04). Safety outcomes, including mortality, acute kidney injury, hypertensive crisis, and hypotension, were similar between groups. Conclusion: RDN offers a significant BP-lowering effect in resistant hypertension, with RF-based RDN yielding more consistent benefits across diverse measurement settings. US-based RDN showed limited but promising effects. Both techniques demonstrated acceptable safety profiles. Further head-to-head trials are needed to confirm long-term comparative effectiveness.

Background: Acute myocardial infarction (AMI) represents a significant component of cardiovascular disease (CVD) mortality among the young and middle-aged populations of the United States (US). Research Question: To analyze the long-term trends and the impact of the COVID-19 pandemic on AMI-related mortality among the young and middle-aged populations of the US. Methods: Data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) multiple causes of death database were used to analyze death certificates from 1999 to 2023 for AMI-related deaths among the young and middle-aged population (aged 25-64) of the US. Age-adjusted mortality rates (AAMRs) per 100,000 people and associated annual percent changes (APCs) and average APC (AAPCs) were analyzed using Joinpoint regression analysis. Mortality trends were stratified by sex, race/ethnicity, and census region. Results: From 1999 to 2023, there were 970,454 AMI-related deaths among U.S. adults aged 25-64 years. The annual number of AMI-related deaths decreased from 44,040 in 1999 to 31,522 in 2023. The overall AAMR per 100,000 decreased from 31.02 deaths (95% CI, 30.73 to 31.31) in 1999 to 15.29 (95% CI, 15.11 to 15.46) in 2023 (AAPC -2.92%, 95% CI -3.22 to -2.75). The AAMR per 100,000 declined at a faster rate from 31.02 in 1999 to 19.57 in 2010 (1999-2010, APC -4.26), followed by a slower rate from 19.57 in 2010 to 16.67 in 2019 (2010-2019, APC -1.41), The declining trend was disrupted by a transient increase during the COVID-19 pandemic, with a peak AAMR of 19.73 (95% CI, 19.53 to 19.93) in 2021 (2019-2021, APC 8.52). The declining trend resumed from 2021 to 2023, with AAMR decreasing to the lowest levels of 15.29 in 2023 (2021-2023, APC -12.58). Heterogeneity across demographic and regional groups has narrowed during these 25 years. However, they are still prevalent, with men ( figure 1 ), non-Hispanic (NH) Black or African American, NH American Indian or Alaska Native ( figure 2 ), and the residents of the Southern United States ( figure 3 ) having higher mortality rates. Conclusion: Over the past 25 years, AMI-related mortality has declined in the young and middle-aged population of the US, although rates spiked during the COVID-19 pandemic before resuming their decline in 2022. While disparities among demographic and regional groups have narrowed, they still exist, necessitating comprehensive efforts to improve cardiovascular health outcomes.

Background: Spontaneous coronary artery dissection (SCAD) is increasingly recognized as a cause of acute coronary syndrome, particularly in young to middle-aged women. While most presentations are associated with preserved left ventricular ejection fraction (LVEF), a subset of patients present with acute systolic dysfunction. The characteristics of patients who recover their LVEF are not clearly defined. Methods: We retrospectively analyzed 495 patients with angiographically confirmed SCAD treated at three Mayo Clinic sites (Arizona, Rochester, and Florida) from 1994 to 2023. Patients with a prior history of myocardial infarction, coronary artery disease, and congenital heart disease were excluded. Baseline LVEF at SCAD presentation was categorized into <35%, 35–39%, 40–49%, and ≥50%. Follow-up LVEF was assessed by echocardiography performed between 30 days and 1 year post-SCAD. The primary outcome was improvement in LVEF to ≥50% at follow-up. Results: A total of 495 SCAD patients were included. At presentation, 26% had reduced LVEF: 6% had LVEF <35%, 5% had LVEF between 35–39%, and 15% had LVEF between 40–49%. Patients who did not normalize their EF at follow-up were slightly younger (45 vs. 48 years, p=0.04), were more likely to have had an in-hospital cardiac arrest (13% vs. 4%, p=0.01), required mechanical circulatory support during their care, and had SCAD involving the left main artery (11% vs. 2%, p=0.01). Predictors of EF normalization included SCAD which involved the obtuse marginals (15% vs. 4%, p<0.05). The group with the lowest EF at presentation had the highest probability of persistent EF <50% at follow-up (32% for those with LVEF <35%) while patients who had normal EF at presentation had a 6% chance of having EF <50% at follow-up (Figure 1). Conclusions: Our study shows that the majority of SCAD patients have normal EF at presentation. 80% of those with reduced EF at presentation will normalize at follow-up. Predictors of low EF at follow-up included dissection involving the left main artery, lower EF at SCAD presentation, in-hospital arrest and use of mechanical circulatory support.

Introduction: Chronic total occlusion (CTO) is commonly encountered in patients with coronary artery disease and is associated with adverse outcomes, including increased short- and long-term mortality. While percutaneous coronary intervention (PCI) has shown potential clinical benefits in CTO patients, its comparative effectiveness against optimal medical therapy (OMT) remains debated. This meta-analysis aims to evaluate the impact of CTO-PCI versus OMT on key cardiovascular outcomes. Methods: We conducted a comprehensive search of Pubmed, Scopus, Web of science and Cochrane. We assessed outcomes including all-cause mortality, cardiac death, myocardial reinfarction, major adverse cardiac events (MACE), stroke, and repeat revascularization. Pooled risk ratios (RRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. Statistical significance was defined as p<0.05. Results: 25 studies with a total of 22102 patients were included. Compared to OMT alone, CTO-PCI was associated with a significant reduction in the overall all-cause mortality (RR: 0.66; 95% CI: 0.53–0.82; p=0.0002), cardiovascular mortality (RR: 0.65; 95% CI: 0.52–0.82; p=0.0003) and MACE (RR: 0.84; 95% CI: 0.71–0.98; p=0.03). No statistically significant differences were observed between CTO-PCI and OMT in rates of Stroke (RR: 1.01; 95% CI: 0.68–1.50; p=0.96), Subsequent PCI/CABG (revascularization) (RR: 1.01; 95% CI: 0.78–1.29; p=0.97) or Heart Failure Hospitalization (RR: 0.77; 95% CI: 0.37–1.59; p=0.48) Conclusion: This is the largest and most updated systematic review meta analysis for CTO-PCI vs OMT. Our findings show that CTO-PCI is associated with significantly lower all-cause and cardiovascular mortality compared to OMT. However, no significant differences were observed between the two strategies in the incidence of stroke, need for subsequent revascularization (PCI/CABG), or heart failure hospitalization.

Background For large vessel occlusion (LVO) ischemic strokes, three major techniques of mechanical thrombectomy (MT) have demonstrated efficacy. Here we compare the safety and efficacy of stent retrievers (SR), contact aspiration (Asp), and a combined mechanical thrombectomy (cMT) for LVO ischemic stroke. Methods Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we queried the PubMed, EMBASE, Scopus, and Web of Science databases for studies published prior to December 2024 describing patients with ischemic stroke who underwent MT using SR, Asp, or cMT. Results Twnety-four studies comprising a total of 12 845 patients were included in the analysis. Compared with cMT, Asp was associated with a lower rate of first pass effect (FPE) (risk ratio (RR) 0.67; 95% CI 0.46 to 0.96), shorter procedure duration (mean difference (MD) −13.35 min; 95% CI −20.83 to –5.87), and lower risk of arterial dissection (RR 0.50; 95% CI 0.29 to 0.87). Additionally, SR use was linked to a higher procedure duration compared with Asp (MD 13.39 min; 95% CI 5.55 to 21.22) and a lower symptomatic intracranial hemorrhage rate (RR 0.75; 95% CI 0.59 to 0.96). No significant differences were observed between groups in terms of number of passes, successful recanalization, 90-day functional outcomes, mortality, arterial perforation, or embolization to new territory. Conclusions All three techniques demonstrated similar recanalization rates and functional outcomes. However, Asp was associated with shorter procedure times and fewer arterial dissection complications, while cMT showed a higher FPE. Given the comparable overall efficacy, the choice of technique should be guided by the physician’s preference, expertise, and confidence, tailored to the individual patient’s profile.

ABSTRACT The American Society for Apheresis (ASFA) Attending Physician Subcommittee of the Physicians' Committee performed an annual review of articles published in 2024 related to apheresis medicine. The 10 seminal apheresis articles selected by the subcommittee members are summarized in this review. PubMed was used to identify manuscripts published in 2024 in four areas of interest: donor apheresis, therapeutic apheresis, apheresis education, and apheresis for cellular therapy. Only full length, peer‐reviewed manuscripts in English with data from human subjects were included. Case reports, review articles, and meta‐analyses were excluded. Articles were considered seminal if they met at least one of the following previously established criteria: novel finding(s), practice‐altering outcomes, international in scope, randomized‐controlled trial, relevant to current clinical practice, and/or provide evidence for category III or IV indications based on the ASFA 9th special issue of the Guidelines on the Use of Therapeutic Apheresis in Clinical Practice‐Evidence‐Based Approach.

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.

BACKGROUND: Intracranial atherosclerosis (ICAS) is associated with an increased risk of early recurrent ischemic stroke. We evaluated whether biomarkers of impaired distal perfusion—specifically, anterior circulation borderzone infarct, and hypoperfusion mismatch volume—were associated with recurrent ischemic stroke within 90 days. METHODS: The BIORISK ICAS (Biomarkers and Recurrence Risk in Symptomatic Intracranial Atherosclerosis) is a multicenter retrospective international study (35 sites) that included hospitalized patients with symptomatic ICAS (50%–99% luminal stenosis of the intracranial vertebral, basilar, distal internal carotid, or proximal middle cerebral artery) from January 2019 to June 2024. The primary outcome was recurrent ischemic stroke in the territory of the symptomatic artery within 90 days. In the primary analysis, the exposure was an acute anterior circulation borderzone infarct. In secondary analysis of the subset with presentation within 72 hours of last known normal and perfusion imaging completed, the exposure of interest was prespecified as hypoperfusion mismatch volume at T max (time to maximum) threshold of 6 seconds, dichotomized at the Youden index. We performed multivariable Cox regression to test associations between exposure variables and the outcome, adjusting for clinically relevant variables and those associated with the outcome ( P <0.1). RESULTS: Of 2050 patients with symptomatic ICAS, 1737 (84.7%) presented within 72 hours of symptom onset, among whom 509 (29.3%) underwent perfusion imaging. The primary analysis included 1891 patients; 174 (9.2%) patients had recurrent ischemic stroke in the symptomatic arterial territory. In adjusted Cox regression models, there was an association between anterior circulation borderzone infarct and recurrent ischemic stroke at 90 days (adjusted hazard ratio, 1.40 [95% CI, 1.02–1.93]). In the perfusion imaging analysis, hypoperfusion mismatch of ≥10 mL was associated with recurrent ischemic stroke (adjusted hazard ratio, 1.83 [95% CI, 1.03–3.28]). CONCLUSIONS: Biomarkers of impaired distal perfusion, anterior circulation borderzone infarct, and hypoperfusion mismatch were associated with increased risk of recurrent ischemic stroke. These findings support the use of perfusion imaging in ICAS as well as future trials investigating early reperfusion in high-risk patients with ICAS.

ABSTRACT Patient outcomes in advanced renal cell carcinoma (RCC) remain poor, with five‐year survival rates ranging from ~10% to 30%. Early projections of therapeutic outcomes could optimize precision medicine and accelerate drug development. While machine learning (ML) models integrating tumor growth inhibition (TGI) metrics have improved survival predictions over traditional models, their application in RCC remains unexplored. Herein, we used TGI metrics and baseline data to evaluate parametric (PM) and semi‐parametric (SPM) survival models alongside ML approaches for predicting progression‐free (PFS) and overall survival (OS) in 1839 RCC patients from four trials (evaluating sunitinib, axitinib, sorafenib, interferon‐alpha, and avelumab + axitinib). Data were split into training (70%) and testing (30%), and feature selection was used to determine parsimonious and robust models. Bootstrap resampling ( n = 100) was employed for models' validation, and performance was assessed using C‐index and Integrated Brier Score. In brief, training data results demonstrated that tree‐based ML models (random survival forest (RSF) and XGBoost) outperformed PM and SPM models in predicting PFS (C‐index: 0.783–0.785 vs. 0.725–0.738 for PM and SPM; p < 0.05) and OS (C‐index: 0.77–0.867 vs. 0.750–0.758 for PM and SPM; p < 0.05), with RSF achieving better prediction of PFS and OS using only 3–5 covariates, compared to 9–35 with other tested methods. Tree‐based methods were also superior in the testing data. SHapley Additive exPlanations revealed nonlinear relationships among top predictors, including TGI metrics, underscoring the ability of tree‐based methods to capture complex prognostic interactions. Further validation is required to confirm models' generalizability to additional therapies and patients with differing tumor severity.