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Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Introduction: Apolipoprotein B (ApoB) and coronary artery calcium score (CAC) are well-established risk factors for coronary heart disease (CHD). However, the interaction between these risk factors on CHD risk has not been well-studied. We investigated the association between ApoB levels and CAC with CHD risk. Methods: We analyzed 4,649 participants from the Multiethnic Study of Atherosclerosis cohort (median follow-up 13.9 years) without baseline CHD or statin use. High ApoB was defined as ≥120 mg/dL. Participants were divided into 6 groups; group 1: CAC = 0 with normal ApoB, group 2: CAC = 0 with high ApoB, group 3: CAC 1-99 with normal ApoB, group 4: CAC 1-99 with high ApoB, group 5: CAC ≥100 with normal ApoB, group 6: CAC ≥100 with high ApoB. CHD was defined as myocardial infarction, resuscitated cardiac arrest, or CHD death. Survival analysis using Kaplan-Meier and multivariable Cox proportional hazard models were performed to assess the relationship between ApoB, CAC, and time to first CHD event. Results: In an adjusted model, high ApoB, CAC (1-99), and CAC (≥100) were independently associated with CHD (HR: 1.48; 95% CI: 1.04, 2.11; HR: 2.54; 95% CI: 1.78, 3.64; and HR: 4.41; 95% CI: 3.08, 6.31, respectively). Compared to group 1 (CAC 0 with normal ApoB), CAC 0 and high ApoB (group 2) was not associated with increased risk of CHD (HR: 1.15; 95% CI: 0.59, 2.23). However, a statistically significant greater risk of CHD was observed in those with CAC 1-99 and normal ApoB (group 3) (HR: 2.12; 95% CI: 1.37, 3.28), CAC 1-99 and high ApoB (group 4) (HR: 4.12; 95% CI: 2.42, 7.00), CAC ≥100 and normal ApoB (group 5) (HR: 4.20; 95% CI: 2.78, 6.34), CAC ≥100 and high ApoB (group 6) (HR: 5.72; 95% CI: 3.40, 9.63). Conclusions: In this analysis, ApoB and CAC are independently associated with CHD risk. Individuals with high ApoB and CAC ≥100 had the highest risk of CHD. In contrast, individuals with CAC = 0 and high ApoB had no significant increase in CHD risk compared to individuals with normal ApoB levels. These findings suggest that ApoB and CAC may be complementary tools for CHD risk stratification in the context of primary prevention.

Backround: Atrial fibrillation (AF) is a common complication following veno-venous extracorporeal membrane oxygenation (VV-ECMO), leading to further complications from anticoagulation or stroke. The Artificial Intelligence AF Prediction Dashboard developed at Mayo Clinic generates two predictive outputs: (1) a continuous probability score and (2) a binary threshold-based signal to predict the likelihood of AF at an individual level after 12-lead electrocardiogram (ECG) is obtained. Using both continuous risk (%) and binary (yes/no) likelihood, we present a novel method to understand AF risk after VV-ECMO cannulation based on pre-ECMO 12-lead ECG. Methods: We reviewed a total of 147 patients on ECMO between 2018 and 2024, from which 85 VV-ECMO patients with complete data were included. AI Dashboard outputs were quantified as binary (1/0) or percent likelihood for AF. R was utilized for statistical analysis. Results: 85 patients met our inclusion criteria from which AF after cannulation occurred in 31 (36%). 17 patients had a history of AF prior to VV-ECMO initiation. The mean age of our cohort was 49 years with a mean BMI of 29.3. Baseline AI Dashboard continuous assessment identified 39 patients (46%) compared to the binary assessment identifying 31 patients (36%). Logistic regression in the binary assessment demonstrated an odds ratio of 1.08 (95% CI 1.04 – 1.12) with a p value of <0.001. The binary AF Prediction yielded a 58% sensitivity, 76% specificity, 58% PPV, and 76% NPV, with an accuracy of 67%. The continuous AF Probability score achieved 72% balanced accuracy with sensitivity 74%, specificity 70%, PPV 59% and NPV 83%, indicating fair overall performance and suggesting good utility for ruling out AF in low-risk patients. Although both outputs provided moderate predictive accuracy, the continuous score reported before ECMO cannulation demonstrated stronger overall performance with fewer false negatives and higher rule-out value. Conclusions: We demonstrate the novel use of an AI predictive model in the VV-ECMO population for the prediction of AF risk with both continuous and binary risk cutoffs from baseline ECG. This data highlights the need for further development in ECMO-specific AI models to help mitigate risk after the onset of atrial arrhythmias. As AI-driven tools become increasingly integrated into care, their performance must be continuously validated and recalibrated for specific populations to ensure their safe and effective use.

Background: Lipoprotein(a) [Lp(a)] and metabolic syndrome (MetS) are well-established risk factors for cardiovascular disease. Recent evidence suggests that high Lp(a) levels may increase the risk of coronary heart disease (CHD) in patients with diabetes, raising the question of whether similar interactions exist between Lp(a) and metabolic syndrome. We aimed to evaluate the joint association of Lp(a) and MetS with incident CHD risk in a large, multi-ethnic, prospective cohort. Methods: We analyzed 6,664 participants from the MESA (Multiethnic Study of Atherosclerosis) cohort (median follow-up 14.0 years) without baseline CHD. MetS was defined as ≥3 of the following criteria: waist circumference ≥102 cm (men), or ≥88 cm (women), triglycerides ≥150 mg/dL or use of a fibrate medication, HDL-C <40 (men) or <50 (women) or use of a fibrate medication, SBP ≥130 mm Hg and/or DBP ≥85 mm Hg or use of antihypertensive medication, fasting glucose ≥100 mg/dL or use of antidiabetic medication (4). Elevated Lp(a) was defined as a level ≥50 mg/dL. CHD was defined as myocardial infarction, resuscitated cardiac arrest, or CHD death. Participants were divided into four groups: group 1: Normal Lp(a) without MetS, group 2: elevated Lp(a) without MetS, group 3: normal Lp(a) with MetS, group 4: elevated Lp(a) with MetS. Survival analysis using Kaplan-Meier and multivariable Cox proportional hazard models were performed to assess the relationship between Lp(a), MetS, and time to CHD. Results: In an adjusted model, log [Lp(a)] and MetS were both independently associated with CHD (HR: 1.14; 95% CI: 1.03, 1.25) and (HR: 1.75; 95% CI: 1.35, 2.27). Compared to the reference group (normal Lp(a) without MetS), those with elevated Lp(a) without MetS (group 2) did not have increased risk of CHD (HR: 1.30; 95% CI: 0.94, 1.80). However, those with normal Lp(a) with MetS (group 3) had greater risk of CHD (HR: 1.56; 95% CI: 1.18, 2.05). The highest risk for CHD were in those with elevated Lp(a) with MetS (group 4) (HR: 2.37; 95% CI: 1.66, 3.37). Conclusions: In this analysis. elevated Lp(a) and MetS independently increase CHD risk. MetS alone significantly increases risk, whereas elevated Lp(a) without MetS does not demonstrate a significant effect. However, their combination confers the highest risk, suggesting a synergistic interaction. These results emphasize the value of assessing Lp(a) in individuals with MetS to improve cardiovascular risk stratification and guide targeted prevention.

Background: Impella 5.5 is a temporary MCS device FDA-approved for use up to 14 days. Limited data suggest it may be safe beyond this. We aim assess outcomes based on the duration of Impella 5.5 support in heart failure cardiogenic shock (HFCS) patients at our institution. Methods: We retrospectively reviewed all HFCS patients supported with Impella 5.5 at our institution between 2020-2024. Patients supported for >14 days were compared with those supported for ≤14 days. Categorical variables were analyzed with chi-square tests, continuous variables with t-tests or Mann-Whitney U. Logistic regression identified factors linked to clinical outcomes. Results: 154 patients were included: 38 (25%) with support ≤14 days, 116 (75%) with >14 days. Median support duration was 10 (6–12) vs 31 (22–45) days, respectively. Median support duration was 10 (6-12) days for the ≤14 cohort and 31 days (22-45) days for the >14 cohort. Baseline characteristics, comorbidities, LVEF 18% (15-23) and hemodynamics show no statistical differences. Patients supported for >14 days were more likely to undergo heart transplant compared to those supported ≤14 days (91% vs 74%, p=0.009). In contrast, myocardial recovery was more likely in the ≤14 day cohort (8% vs 1%, p=0.018). One patient suffered stroke post-transplant in the ≤14 day group and two had brachial plexus injuries in the >14 days group. Mortality during the impella-supported period was slightly higher in the ≤14 day group (8% vs 5%, p=0.535) but comparable overall, 13% in both groups, p=0.971. Support >14 days was associated with transplant outcome (OR 3.41, 95% CI 1.32–8.84, p=0.012), and remained significant after adjusting for age, gender, GFR, and EF (OR 4.05, 95% CI 1.31–12.54, p=0.015). Support duration <14 days was associated with recovery or LVAD outcomes (OR 5.01, 95% CI 1.49–16.89, p=0.009), and remained significant after adjustment (OR 5.43, 95% CI 1.11–26.45, p=0.036). No association was observed between duration of support and LVAD/mortality outcomes or with EcPella use. Conclusion: Shorter Impella support duration was independently associated with early myocardial recovery or LVAD candidacy, likely reflecting rapid clinical decision-making. Prolonged Impella support was associated with increased likelihood of transitioning to heart transplantation, likely reflecting clinical stabilization over time. Our multidisciplinary, single-center data suggests Impella 5.5 can be used beyond FDA-approved 14 days in HFCS patients.

Background: The comparable long-term benefits of coronary artery bypass grafting (CABG) versus percutaneous coronary intervention (PCI) in patients with multivessel disease remains limited in underrepresented populations, particularly in patients with multivessel coronary artery disease and heart failure with severely reduced left ventricular ejection fraction (LVEF <35%). Research Question: Among patients with HF and LVEF < 35% which revascularization strategy (CABG or PCI) provides superior long-term clinical outcomes? Methods: We conducted a systematic review and meta-analysis of observational studies involving patients with ischemic heart disease (IHD), HF and LVEF < 35% undergoing PCI or CABG with a minimum follow-up duration of five years. PubMed, Embase, and Cochrane databases were searched for studies published up to April 15, 2025. We computed hazard ratios (HR) from propensity score matched results. We used Cochrane Review Manager version 9.2.1 for statistical analysis. The primary endpoints of interest included all-cause mortality at 5 to 10 years, repeat revascularization, and all-cause mortality at 10 or more years. Results: We included 8 studies with 12,697 patients (6,187 PCI vs 6,510 CABG). Median follow-up duration ranged from 3.8 to 5.2 years, with the longest reported follow-up up to 13 years. The cumulative, propensity adjusted, incidence of all-cause mortality was significantly lower in the CABG group compared to PCI in 5 to 10 years of follow-up (HR 0.61; 95% CI 0.54-0.69; p<0.001) and ≥ 10 years (HR 0.63; 95% CI 0.53-0.74; p<0.001). Additionally, CABG was associated with a reduced need for repeat revascularization in the 5 to 10 year time frame, with a HR of 0.42 (95% CI 0.22-0.81; p=0.01). Conclusion: In this systematic review and meta-analysis of patients with IHD and an ejection fraction ≤ 35% undergoing revascularization, CABG was associated with a reduction in all-cause mortality at ≥ 5 and ≥ 10 years of follow-up, as compared to PCI.

Background: Calcific aortic valve stenosis (CAVS) is characterized by the progressive accrual of aortic valvular calcium (AVC), resulting in impaired valvular compliance and mechanics and impaired cardiac function leading to heart failure (HF). In a phase 2 trial of 23 patients with moderate CAVS, ataciguat (ATA), a soluble guanylate cyclase activator, relative to placebo slowed the deposition of AVC, decreases in aortic valve area (AVA; by continuity equation), and increases in diastolic dysfunction and left ventricular (LV) mass. ATA may have other favorable effects on ventricular, valvular, and/or vascular pathophysiology relevant to patients with CAVS. Hypothesis: We hypothesized that slowing the rate of AVC deposition is associated with improvements in valvular compliance and in measures of cardiac structure and function. Methods: A phase 2 study randomized patients with moderate CAVS 1:1 to receive ATA 200 mg/day or placebo for up to 12 months (NCT02481258). The primary endpoint was change in AVC assessed by cardiac CT, and measures of aortic valve function and cardiac structure and function were also assessed. AVA was calculated by the Modified Gorlin (Hakki) equation to additionally assess valvular compliance. Correlations between AVC, AVA, and other measures of cardiac structure and function were assessed by exploratory linear mixed models. Results: Changes in AVC from baseline were negatively correlated with changes in AVA (slope = −0.0002 [95% CI −0.0004, 0.0001]; Figure 1), such that patients with the least AVC deposition had minimal changes in AVA. Reciprocally, changes from baseline in AVA were positively correlated with changes in cardiac output (CO; slope = 0.16 [95% CI 0.13, 0.18]; Figure 2). Treatment with ATA, compared with placebo, was associated with improvements in systolic function. Changes in AVC deposition correlated with changes in CO (slope = −0.0007 [95% CI −0.0021, 0.0008]; Figure 3), and measured improvements in CO were generally more observed in patients with less of an increase in AVC, which were more frequently observed in those treated with ATA compared with placebo. Conclusions: These data suggest that slowing the rate of AVC deposition with ATA may result in improvements in CO through improved myocardial function and valvular compliance. Larger controlled trials are needed to assess such favorable myocardial/valvular effects that may help to preserve functional capacity and slow progression to HF.

Background: Renal dysfunction is a known prognostic factor in advanced heart failure and among patients receiving temporary mechanical circulatory support (tMCS). However, the predictive value of post-Impella creatinine in determining healthcare resource utilization in patients bridged to transplant with Impella 5.5 remains unclear. This study aimed to evaluate the association between post-Impella creatinine and key hospitalization metrics in this population. Methods: We performed a retrospective cohort study of patients who received Impella 5.5 as a bridge-to-transplant between January 2020 and January 2025. Serum creatinine was collected 72 hours after Impella placement. The primary outcome was device-to-discharge time. Secondary outcomes included transplant-to-discharge time, post-transplant ICU length of stay (LOS), and total LOS (admission-discharge). Univariate and multivariable linear regressions were used to examine the association between post-Impella creatinine and each outcome, adjusting for age, gender, BMI, and LVEF. Results: 133 patients were supported with the Impella 5.5 as BTT and were included (median age 58 years (51–65), 82.7% were male, and 71.4% presented with non-ischemic cardiomyopathy. The median BMI was 27.7 (24.3–32.3), LVEF 17% (15–22), and post-Impella creatinine 1.32 mg/dL (0.96–1.71). The median device-to-discharge time was 45 days (29-64), transplant-to-discharge time was 14 days (12–19), ICU LOS post-transplant was 6 days (4–8), and total LOS was 58 days (42–76). Higher post-Impella creatinine was significantly associated with longer device-to-discharge time (β = 6.67, p = 0.004), longer transplant-to-discharge duration (β = 3.42 p = 0.003), longer ICU LOS (β = 2.19, p = 0.007), and longer total LOS (β = 7.24, p = 0.002) on univariate analysis. Post-impella creatinine remained significantly associated with device-to-discharge time in the multivariate model after adjusting for confounders (β = 6.33, p = 0.006). Importantly, this suggests that patients with lower post-Impella creatinine levels may experience shorter hospitalizations and faster recovery trajectories following transplant. Conclusions: Post-Impella creatinine is a significant predictor of prolonged hospitalization in patients supported with Impella 5.5 as a bridge to transplant. These findings emphasize the prognostic importance of early renal function assessment and may guide risk stratification and resource planning in advanced heart failure care.

Problem Statement: The prognostic value of troponin elevation in septic ICU patients without known history of cardiac disease remains unclear, particularly after accounting for overall illness severity. Background: Minor troponin rises are frequent during sepsis, yet clinicians still lack a clear cut-point that signals danger once cardiac disease is ruled out. We asked whether a modest increase in troponin-T predicts in-hospital death beyond global illness severity. Methods: We studied 1 221 adult first ICU stays labelled “sepsis” in the eICU Collaborative Research Database and removed any case with a cardiac admission diagnosis. Implausible or missing laboratory values were imputed by multiple imputation. Hospital mortality was modelled with logistic regression that included troponin (a continuous and a binary model with threshold > 0.04 ng/mL) together with age, sex, lactate, albumin, BUN, creatinine, intubation status, vasopressor use, dialysis requirement and APACHE-IV predicted mortality. A natural-spline model explored non-linear behavior. Findings were checked in a 1:1 propensity-matched cohort. Results: Overall mortality was 11.7%. Troponin exceeded 0.04 ng/mL in 38% of patients. After adjustment for APACHE-IV probability and other covariates, a troponin level > 0.04 ng/mL was associated with almost twice the odds of death (OR ≈ 1.9), whereas the continuous model suggested only a modest trend (OR ≈ 1.1 per ng/mL). The spline curve rose steeply between 0 and 0.10 ng/mL and flattened thereafter, pinpointing an inflection near 0.05 ng/mL. Matching on all measured confounders confirmed that high-troponin patients had about three-fold greater mortality (OR ≈ 2.8, 1.55-5.05; p<0.001), highlighting that even modest troponin elevation is an independent risk marker for death in septic ICU patients. A bedside heat-map combining troponin, albumin and need for intubation illustrated a simple gradient: risk climbs from 2 % in low-troponin, well-albuminised, non-intubated patients to nearly 7 % when troponin exceeds 0.10 ng/mL in intubated, hypo-albuminemic patients. Conclusions: Even modest troponin elevations (> 0.04 ng/mL) independently predict mortality in sepsis after rigorous adjustment and matching on APACHE-IV physiology, lactate, and organ-support variables. This biologic threshold supports incorporating troponin into bedside triage and future septic cardiomyopathy trials.

British anatomical physiology in the early 19th century evolved from the work of William Harvey, Thomas Willis, and William Hunter, who emphasized cerebral functional localization, integrating physiology and anatomy. This novel perspective was championed by Herbert Mayo (1796–1852). A student of Charles Bell at the Middlesex Hospital in London, Mayo subsequently became a surgeon there in 1818 and later a professor of anatomy and surgery. His experiments on the motor functions of the seventh cranial nerve and sensorimotor functions of the fifth cranial nerve brought him renown. Mayo, inspired by Johann Christian Reil, also conducted the first accurate brainstem dissections, developed innovative tissue preservation methods, and provided detailed descriptions of key fiber tracts. Mayo’s 1822–1823 Anatomical and Physiological Commentaries and 1827 A Series of Engravings Intended to Illustrate the Structure of the Brain and Spinal Chord in Man accurately depicted the corona radiata, cerebellar peduncles, and uncinate fascicle. In his 1842 book, The Nervous System and Its Functions , Mayo discussed the localization of higher brain functions. His dissections remained unmatched until Josef Klingler’s work in 1934. Despite the quality of his work, Mayo has been largely neglected, possibly because of his tumultuous relationship with Bell and later professional difficulties. Nevertheless, Mayo significantly contributed to white matter anatomy and led the search for cerebral localization, subsequently impacting neurosurgery. This article examines his life and work.