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ABSTRACT Background Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet comprehensive echocardiographic assessment of diastolic function (DF) and filling pressure (FP) is often infeasible. We evaluated whether artificial intelligence–enabled electrocardiography (AI-ECG) could provide scalable DF grading and FP estimation in hospitalized AHF patients. Methods We retrospectively studied adults hospitalized for AHF across Mayo Clinic sites (2013–2023) who received ≥1 dose of intravenous loop diuretic and had paired 12-lead ECG and TTE. The previously validated AI-ECG DF model was applied without retraining to generate four DF grades and a continuous FP probability. Clinical outcomes were all-cause mortality and heart failure rehospitalization. Associations with clinical severity markers and echocardiographic indices were examined. Kaplan–Meier survival analysis and adjusted multivariable Cox proportional hazards models were performed. Exploratory analyses examine the kinetics of change in FP probability and impact on mortality. Results Among 11,513 patients (median age 75 years, 39% female), AI-ECG DF grading was feasible in 100%, whereas echocardiographic DF was indeterminate in 44% of clinically eligible patients. In 2,582 patients with determinate echocardiographic DF, AI-ECG FP probability discriminated TTE Grade 2–3 dysfunction with AUC 0.85 (95% CI 0.83 – 0.86). Higher AI-ECG DF grades were associated with higher comorbidity burden, worse NYHA class, elevated NT-proBNP, higher MAGGIC scores, elevated PCWP, and more advanced structural remodeling. After multivariable adjustment, AI-ECG DF remained independently associated with mortality (hazard ratio [HR] 1.25, 95% CI 1.16–1.35 for Grade 2; HR 1.44, 95% CI 1.33–1.56 for Grade 3 versus Normal/Grade 1). Combining AI-ECG DF with MAGGIC scores yielded ordered risk gradients, with highest mortality in patients with both high MAGGIC and Grade 2–3 DF. Among patients with serial ECGs, improvement in FP probability was independently associated with lower mortality (HR 0.85, 95% CI 0.79–0.91), whereas worsening did not show a consistent adverse gradient beyond baseline DF. Conclusions In a large, geographically diverse AHF cohort, AI-ECG DF grading was universally feasible, correlated with established hemodynamic severity markers, and provided independent prognostic information beyond established risk factors, supporting its role as a pragmatic, scalable diastolic biomarker in AHF. CLINICAL PERSPECTIVE What Is New? In 11,513 hospitalized acute heart failure (HF) patients, artificial intelligence-enabled electrocardiography provided diastolic function grading in 100% of patients from a single 12-lead ECG without requiring additional clinical variables, compared with 56% feasibility for guideline-based echocardiography grading. AI-ECG diastolic function grades correlated with established marker of severity (NYHA functional class, NT-proBNP, MAGGIC risk scores, and pulmonary capillary wedge pressure) and remained independently associated with both mortality and HF rehospitalization after multivariable adjustment. Serial AI-ECG measurements identified post-discharge filling pressure trajectories, with improvement independently associated with 15% lower mortality, a first demonstration that longitudinal ECG assessment can track post-discharge hemodynamic recovery. What Are the Clinical Implications? AI-ECG transforms the universally obtained 12-lead ECG into an actionable hemodynamic biomarker that addresses the critical gap when echocardiographic diastolic function assessment is indeterminate or unavailable in acute HF patients. Despite markedly different hemodynamic severity and long-term outcomes across AI-ECG diastolic function grades, hospitalization length of stay did not differ, suggesting advanced diastolic dysfunction represents occult risk not easily recognized during routine acute care and highlighting the need for improved post-discharge risk stratification. The continuous filling pressure probability metric enables longitudinal monitoring of post-discharge hemodynamic status using serial routine ECGs, potentially identifying patients requiring intensified follow-up or specialist referral.

Background A multidisciplinary approach improves guideline‐directed medical therapy in systolic heart failure (HF), but its efficacy in patients with HF due to cardiac sarcoidosis is unreported. Methods and Results In a retrospective cohort study, we reviewed 848 patients from our institutional cardiac sarcoidosis clinics, identifying those with a cardiac sarcoidosis diagnosis, HF (left ventricular ejection fraction <50%) at index evaluation, and echocardiograms within 90 days and 11 to 36 months. Patients were stratified by participation in a pharmacist‐led medication therapy management (MTM) program for guideline‐directed medical therapy optimization (MTM versus non‐MTM [NMTM]) without randomization. Demographics, left ventricular ejection fraction, guideline‐directed medical therapy (quantified by Kansas City Medical Optimization score), and immunosuppressive therapy were assessed. Primary outcomes included changes in Kansas City Medical Optimization score, left ventricular ejection fraction, and cardiovascular event–free survival (unplanned HF hospitalization, left ventricular assist device /heart transplant, or death). The final cohort included 111 patients (median age, 57 years; 34% women; 64% New York Heart Association class I–II); 43 (39%) were MTM and 68 (61%) were NMTM. Mean Kansas City Medical Optimization score was similar at index evaluation (MTM, 23.2; NMTM, 29.6; P =0.83). At follow‐up (median, 16 months), the Kansas City Medical Optimization score increased significantly in both groups (MTM, 23.2 to 74.8; P <0.001; NMTM, 29.6 to 58.7; P <0.001) but was higher in MTM ( P =0.001). Mean left ventricular ejection fraction trended toward higher values in MTM (44.4% versus 40.0%, P =0.05). The primary clinical outcome occurred in 1 MTM (2.3%) and 16 NMTM (23.5%) patients, with higher risk in NMTM (hazard ratio, 11.97 [95% CI, 1.58–90.54]; P =0.002). Conclusions In this retrospective cohort study, a pharmacist‐led MTM program was associated with favorable guideline‐directed medical therapy optimization and lower risk of adverse cardiovascular outcomes in patients with cardiac sarcoidosis with HF.

AbstractIntroductionLittle is known regarding the prevalence and prognostic implications of non‐sustained ventricular tachycardia (NSVT) in patients with wild‐type transthyretin cardiac amyloidosis (ATTRwt‐CA). We aimed to investigate the prevalence of NSVT in patients with ATTRwr‐CA, and the association of NSVT with sustained ventricular arrhythmias (VA) and all‐cause mortality.MethodsIn a cohort of ATTRwt‐CA patients from 2011 to 2022 without prior sustained VA, we ascertained the presence and characteristics of NSVT during clinically indicated ambulatory Holter monitoring. Patients were stratified based on the presence of NSVT at baseline. The primary and secondary endpoints of sustained VA and all‐cause mortality, respectively, were assessed during follow‐up.ResultsThe cohort included 217 patients with ATTRwt‐CA (95% males, median age 75 years; median NYHA class 2). Baseline Holter monitoring demonstrated NSVT in 116 (53%) patients. During a median follow‐up of 27 months (IQR 16–45) after the index Holter monitor, 11 (5.1%) patients reached the primary endpoint of sustained VA (incidence 1.8 per 100 person‐years, all monomorphic VT), and 46 (21%) patients died. In univariable Cox proportional hazard model, NYHA class 3 or 4 heart failure (p = .048), the presence of NSVT (p = .04), the duration of longest NSVT run (p = .029), and the percentage of ventricular ectopy (p < .001) were associated with the primary outcome. When adjusting for age and NYHA class 3 or 4 heart failure, the presence of NSVT remained associated with the primary outcome (p = .03). All‐cause mortality was not significantly different between patients with and without NSVT. A cutoff for ventricular ectopy burden of 0.5%, the median for all patients in this study, was associated with increased risk in sustained VA (log‐rank p = .004) and mortality (log‐rank p = .02).ConclusionNSVT is highly prevalent among ATTRwt‐CA patients undergoing clinically indicated Holter monitoring and may confer an increased risk of incident sustained VA.

Background: Pulmonary hypertension is common in HFpEF and is associated with increased mortality. Pulmonary hypertension can lead to right ventricular systolic dysfunction. However, the magnitude and prognostic significance of RV dysfunction in the HFpEF population are unclear. Hypothesis: RV systolic dysfunction is common in HFpEF and is associated with increased mortality. Methods: RV size and systolic function were assessed qualitatively (as normal or abnormal) and pulmonary artery systolic pressure (PASP) was estimated using echocardiography in 548 consecutive HFpEF subjects (Framingham criteria and EF ≥50%) from a prospective population based study (Olmsted County, Minnesota). Control group was a retrospectively identified random sample of age and sex matched hypertensive (N=360) and normotensive subjects (N=168) from Olmsted County. HFpEF group was followed for up to 5 years (median follow up 4.4 years). Results: See table and figure. RV enlargement and systolic dysfunction were more prevalent in HFpEF compared with age and sex matched hypertensive and normotensive controls. In HFpEF subjects with PASP above the median, RV systolic dysfunction was associated with poor survival compared with normal RV function. RV systolic dysfunction was a significant predictor of mortality even after adjustment for age and PASP in a Cox regression model (Hazard Ratio=1.4, p=0.02). Conclusions: In the community, RV systolic dysfunction is common in HFpEF and is associated with higher mortality. Although quantitative assessment of RV function is difficult owing to its complex geometry, qualitative assessment is feasible on the majority of subjects and provides significant prognostic information.

Abstract Background Cardiac sarcoidosis (CS) is a difficult to diagnose inflammatory heart disease. Certain types of genetic cardiomyopathy have been reported to masquerade as inflammatory cardiomyopathy. The utility of genetic testing in the evaluation of inflammatory cardiomyopathy is not completely explored and data regarding the prevalence of genetic cardiomyopathies in patients with presumed CS is limited. Methods We retrospectively analyzed patients evaluated from May 2020 to October 2022 in our Cardiac Sarcoid Clinic diagnosed with presumed CS as inferred by either fluorodeoxyglucose positron emission tomography (FDG-PET) - computed tomography (CT) or cardiac magnetic resonance (CMR) or both. Pertinent demographic, genetic, electrocardiographic, and imaging data for these patients was extracted from the electronic medical record. Results Genetic testing was obtained in 47 (22%) of the 213 presumed CS patients, among whom 43 (91%) presented with suspected isolated CS, and 4 (9%) with possible cardiac involvement in the setting of systemic sarcoidosis. Among the patients who underwent genetic testing, 10 (21 %) had a pathogenic or likely pathogenic (P/LP) variant(s) in a genetic cardiomyopathy-susceptibility gene, including DSP (n=2), LMNA, FHL1, TPM1, MYBPC3, NRAS, MYH7 (n=2) and TTN (n= 2) genes. All P/LP patients had FDG uptake, and in those with CMR data, 100% had late gadolinium enhancement. The seven patients with P/LP who underwent endomyocardial biopsy had no evidence of granulomatous inflammation. Immunosuppression was initiated in 60% of the P/LP patients before knowledge of genetic results. Conclusion Patients suspected to have CS may have concomitant or primarily genetic cardiomyopathy that may masquerade as an inflammatory phenotype Genetic testing should be considered in these patients, not only to clarify the diagnosis and its prognostic and therapeutic implications, but also to offer cascade screening for the family of patients with P/LP variants who otherwise would not have been considered to have a heritable disease.