Awad, K

Background In low-gradient severe aortic stenosis (AS), reduced left ventricular ejection fraction (LVEF <50%) is practically used to define low flow and prompt dobutamine stress echocardiography to discern pseudo-severe AS. In patients with preserved LVEF, stroke volume index (SVI) <35 mL/m² is typically used. However, both are volume-based surrogates. Transaortic flow rate (TAFR), calculated as stroke volume divided by left ventricular ejection time, may better reflect true flow. Nonetheless, comparative data between TAFR and established metrics remain limited. We aimed to evaluate the prognostic value of TAFR in symptomatic low-gradient severe AS. Methods We retrospectively identified patients with low-gradient severe AS (AVA ≤1 cm 2 and peak velocity (Vmax) <4 m/s or mean gradient (MG) <40 mm Hg) who underwent transcatheter aortic valve replacement at Mayo Clinic sites (2017–2023). The primary outcome was 1-year all-cause mortality. Survival was assessed using Kaplan-Meier and Cox proportional hazards models. Results Among 475 patients included (mean age 85±8 years; 49% women), 242 (51%) had TAFR <220 mL/s, 165 (35%) had EF <50%, and 221 (47%) had SVI <35 mL/m 2 . Low TAFR was significantly associated with higher 1-year mortality even after stratifying by EF or SVI. In multivariate analysis, TAFR was an independent predictor of mortality (HR 2.38; 95% CI 1.19 to 4.76, p=0.014) after adjusting for reduced LVEF, low SVI, gender, chronic kidney disease and mitral and tricuspid regurgitation. Conclusions In patients with symptomatic low-gradient severe AS, low TAFR, not SVI or LVEF, is independently associated with mortality and may offer more accurate measure of flow state for clinical staging.

Abstract Background Treatment with immune-checkpoint inhibitors (ICI) may be associated with adverse cardiac events. Troponin elevation is part of the diagnostic criteria for ICI related myocarditis (ICIrM) and myocardial infarction (MI), however there is limited data for causes of troponin elevation independent of MI and ICIrM and their clinical outcomes with ICI therapy. Purpose To assess the diagnostic and prognostic value of high-sensitivity troponin T (hs-TnT) in patients treated with ICI based on different etiologies and association with cardiac events. Methods All patients treated with ICI who had hs-TnT measured at a multi-center institution from 2011 to 2022 were included. Medical records were reviewed for baseline characteristics and long-term outcomes, including cardiac death and MACE (MI, stroke, heart failure [HF]), and cause of hs-TnT elevation. Risk of cardiac events and mortality were compared for the different etiologies of hs-TnT elevation. Results Of 5,423 patients treated with ICI, 1669 had post-ICI hs-TnT measurement. Mean age was 68.7±11.3 years, 58.3% were male, with follow-up through one year from ICI first administration. Elevated hs-TnT was seen in 1136 patients, with the different causes for elevation depicted in Figure 1, panel A. ICIrM patients exhibited the highest median hs-TnT value of 364 ng/L (IQR 1096), followed by a median of 98 ng/L for MI/Type 2 ischemia, 61 ng/L for infection/sepsis, 51 ng/L for pulmonary embolus, 50 ng/L for HF and 27 ng/L for indeterminate causes, Figure 1, panel B. Additionally, median time from first ICI dose to hs-TnT elevation according to each of the diagnoses are depicted in Figure 1, panel C, with ICIrM showing the shortest median time of 44 days (IQR 74). Hs-TnT elevation in patients with ICIrM had the highest risk for cardiac death (HR 52.7, 95% CI 11.7-238.0, p&lt;0.001), followed by hs-TnT elevation due to HF (HR 15.9, 95% CI 2.9-87.0, p=0.001), MI/type 2 ischemia (HR 11.6, 95% CI 2.4-56.1, p=0.002), and infection/sepsis (HR 5.7, 95% CI 1.0-31.0, p=0.045) compared to those with no hs-TnT elevation, Figure 2, panel A. Similarly, patients with ICIrM had highest risk for MACE (HR 8.2, 95% CI 4.4-15.3, p&lt;0.001), followed by increased hs-TnT due to MI/type 2 ischemia (HR 8.1, 95% CI 5.0-13.1, p&lt;0.001), HF (HR 7.6, 95% CI 4.2-13.7, p&lt;0.001), pulmonary embolism (HR 5.1, 95% CI 2.5-10.8, p&lt;0.001), infection/sepsis (HR 4.1, 95% CI 2.4-7.0, p&lt;0.001), and indeterminate cause (HR 2.4, 95% CI 1.5-3.8, p&lt;0.001), Figure 2, panel B. Conclusions Hs-TnT measurements have prognostic value for cardiac events in cancer patients receiving ICI therapy, including in those without ICIrM. Patients with ICIrM demonstrated the highest median hs-TnT levels and the poorest outcomes, with a graded response observed; the worst prognosis was seen in patients with hs-TnT elevation due to ICIrM, followed by other causes, and those without hs-TnT elevation had the best prognosis.Figure 1 Figure 2

Abstract Introduction Cardiovascular disease (CVD) is the leading cause of death among patients with kidney failure on dialysis. Social determinants of health may worsen this risk but are seldom incorporated into prognostic models. ICD-10 Z-codes provide standardized documentation of social determinants of health, yet their prognostic value in dialysis populations remains uncertain. This study examined whether Z-coded social determinants of health are associated with adverse cardiovascular outcomes and mortality among patients receiving dialysis for kidney failure. Methods A retrospective cohort study was conducted using the TriNetX Research Network (2010–2024), encompassing de-identified data from 103 institutions. Adults with kidney failure on chronic dialysis were stratified by the presence of ICD-10 Z-codes (Z55–Z65). Propensity score matching (1:1) balanced demographics, comorbidities, medications, and laboratory values. Primary outcomes were all-cause mortality and hospitalization; secondary outcomes included acute heart failure, myocardial infarction, stroke, cardiac arrest, bradyarrhythmias, and ventricular tachycardia. Results After matching, mean age was 62 years, and 42.4% were female in the Z-code cohort versus 41.2% in controls. Over one year, mortality occurred in 12.5% versus 10.9% (hazard ratio [HR], 1.22; 95% confidence interval [CI], 1.15–1.29) and all-cause hospitalizations in 57.3% versus 53.1% (HR, 1.22; 95% CI, 1.19–1.26). Cardiovascular complications were consistently higher in Z-coded patients, including heart failure (24.3% vs 20.5%; HR, 1.29), myocardial infarction (8.0% vs 7.1%; HR, 1.19), stroke (6.6% vs 6.2%; HR, 1.13), cardiac arrest (3.8% vs 3.1%; HR, 1.29), and bradyarrhythmias (6.9% vs 5.5%; HR, 1.33). Discussion Among patients with kidney failure, documented Z-coded social risk factors were associated with greater mortality and cardiovascular morbidity. Incorporating social determinants of health documentation into nephrology care may improve risk stratification and inform targeted interventions.