Balloon-Expandable Valve Geometry After Transcatheter Aortic Valve Replacement in Low-Risk Patients With Bicuspid Versus Tricuspid Aortic Stenosis

BackgroundProspective bicuspid low-risk transcatheter aortic valve replacement (TAVR) registries' data demonstrated encouraging short-term results. Detailed data on transcatheter heart valve (THV) geometry after deployment using contemporary devices are lacking. This study sought to examine valve geometry after TAVR in patients with bicuspid aortic stenosis (AS).MethodsThe study population was patients from the LRT (Low Risk TAVR) trial who underwent TAVR using the SAPIEN 3 THV for bicuspid and tricuspid AS. THV geometry measured on 30-day computed tomography (CT) included valve height, angle, depth, and eccentricity. Additionally, THV hemodynamics and outcomes post-TAVR were compared among patients with bicuspid and tricuspid AS.ResultsA total of 107 patients from the LRT trial using the SAPIEN 3 THV were included in our analysis. On 30-day CT, the valve height ratio (1.07 vs. 1.07; p = 0.348), depths (right [5.6 mm vs. 6.2 mm; p = 0.223], left [5.3 mm vs. 4.4 mm; p = 0.082] and non [4.8 mm vs. 4.5 mm; p = 0.589] coronary cusps), eccentricities (1.08 vs. 1.07; p = 0.9550), and angles (except the right [3.9 degrees vs. 6.3 degrees; p = 0.003] and left [3.6 degrees vs. 6.0 degrees; p = 0.007]) were similar between bicuspid and tricuspid patients. Hemodynamics, stroke, and mortality were similar at 1 year.ConclusionDespite challenging bicuspid anatomy of the aortic valve, our comprehensive CT analysis supports similar THV geometry between patients with bicuspid and tricuspid AS undergoing TAVR using the SAPIEN 3 THV in low-risk patients. This translated to excellent short-term clinical outcomes and THV hemodynamics in both aortic valve morphologies.Trial registryNCT02628899, https://clinicaltrials.gov/ct2/show/NCT02628899.     

Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography

BackgroundCompared with invasive fractional flow reserve (FFR), coronary CT angiography (cCTA) is limited in detecting hemodynamically relevant lesions. cCTA-based FFR (CT-FFR) is an approach to overcome this insufficiency by use of computational fluid dynamics. Applying recent innovations in computer science, a machine learning (ML) method for CT-FFR derivation was introduced and showed improved diagnostic performance compared to cCTA alone. We sought to investigate the influence of stenosis location in the coronary artery system on the performance of ML-CT-FFR in a large, multicenter cohort.MethodsThree hundred and thirty patients (75.2% male, median age 63 years) with 502 coronary artery stenoses were included in this substudy of the MACHINE (Machine Learning Based CT Angiography Derived FFR: A Multi-Center Registry) registry. Correlation of ML-CT-FFR with the invasive reference standard FFR was assessed and pooled diagnostic performance of ML-CT-FFR and cCTA was determined separately for the following stenosis locations: RCA, LAD, LCX, proximal, middle, and distal vessel segments.ResultsML-CT-FFR correlated well with invasive FFR across the different stenosis locations. Per-lesion analysis revealed improved diagnostic accuracy of ML-CT-FFR compared with conventional cCTA for stenoses in the RCA (71.8% [95% confidence interval, 63.0%–79.5%] vs. 54.8% [45.7%–63.8%]), LAD (79.3 [73.9–84.0] vs. 59.6 [53.5–65.6]), LCX (84.1 [76.0–90.3] vs. 63.7 [54.1–72.6]), proximal (81.5 [74.6–87.1] vs. 63.8 [55.9–71.2]), middle (81.2 [75.7–85.9] vs. 59.4 [53.0–65.6]) and distal stenosis location (67.4 [57.0–76.6] vs. 51.6 [41.1–62.0]).ConclusionIn a multicenter cohort with high disease prevalence, ML-CT-FFR offered improved diagnostic performance over cCTA for detecting hemodynamically relevant stenoses regardless of their location.     

Projected Clinical Benefits of Implementation of SGLT-2 Inhibitors Among Medicare Beneficiaries Hospitalized for Heart Failure

BackgroundThe sodium-glucose cotransporter-2 (SGLT-2) inhibitors form the latest pillar in the management of heart failure with reduced ejection fraction (HFrEF) and appear to be effective across a range of patient profiles. There is increasing interest in initiating SGLT-2 inhibitors during hospitalization, yet little is known about the putative benefits of this implementation strategy.MethodsWe evaluated Medicare beneficiaries with HFrEF (≤ 40%) hospitalized at 228 sites in the Get With The Guidelines-Heart Failure (GWTG-HF) registry in 2016 who had linked claims data for ≥ 1 year postdischarge. We identified those eligible for dapagliflozin under the latest U.S. Food and Drug Administration label (excluding estimated glomerular filtration rates < 25 mL/min per 1.73 m², dialysis and type 1 diabetes). We evaluated 1-year outcomes overall and among key subgroups (age ≥ 75 years, gender, race, hospital region, kidney function, diabetes status, triple therapy). We then projected the potential benefits of implementation of dapagliflozin based on the risk reductions observed in the Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure (DAPA-HF) trial.ResultsAmong 7523 patients hospitalized for HFrEF, 6576 (87%) would be candidates for dapagliflozin (mean age 79 ± 8 years, 39% women, 11% Black). Among eligible candidates, discharge use of β-blockers, ACEi/ARB, MRA, ARNI, and triple therapy (ACEi/ARB/ARNI+β-blocker+MRA) was recorded in 88%, 64%, 29%, 3%, and 20%, respectively. Among treatment-eligible patients, the 1-year incidence (95% CI) of mortality was 37% (36-38%) and of HF readmission was 33% (32-34%), and each exceeded 25% across all key subgroups. Among 1333 beneficiaries eligible for dapagliflozin who were already on triple therapy, the 1-year incidence of mortality was 26% (24%–29%) and the 1-year readmission due to HF was 30% (27%–32%). Applying the relative risk reductions observed in DAPA-HF, absolute risk reductions with complete implementation of dapagliflozin among treatment-eligible Medicare beneficiaries are projected to be 5% (1%–9%) for mortality and 9% (5%–12%) for HF readmission by 1 year. The projected number of Medicare beneficiaries who would need to be treated for 1 year to prevent 1 death is 19 (11–114), and 12 (8–21) would need to be treated to prevent 1 readmission due to HF.ConclusionsMedicare beneficiaries with HFrEF who are eligible for dapagliflozin after hospitalization due to HF, including those well-treated with other disease-modifying therapies, face high risks of mortality and HF readmission by 1 year. If the benefits of reductions in death and hospitalizations due to HF observed in clinical trials can be fully realized, the absolute benefits of implementation of SGLT-2 inhibitors among treatment-eligible candidates are anticipated to be substantial in this high-risk postdischarge setting.