Energy-loss index does not improve risk prediction in aortic stenosis compared to conventional aortic valve area assessment
Lindow, T.; Playford, D. A.; Strange, G.; Kozor, R.; Ugander, M.
Show abstract
BackgroundEvidence of improved risk assessment in aortic stenosis (AS) by using energy-loss index (ELI) instead of aortic valve area indexed to body surface area (AVAi) is scarce, and positive results have been driven by aortic valve replacement. We aimed to evaluate the prognostic performance of ELI and AVAi in a head-to-head comparison using large-scale, real-world data. MethodsIn the multi-center, mortality-data linked National Echocardiography Database of Australia (NEDA), patients with AS and requisite ascending aortic area measurements were identified. The prognostic value of AVAi and ELI, respectively, was analyzed using Cox regression and the C statistic. ResultsIn patients with mild AS (n=3,179), moderate AS (n=4,194), and severe AS (n=3,120), there were 4,229 deaths of which 2,359 were reported as cardiovascular deaths (median [interquartile range] follow-up 2.5 [1.1-4.5] years]. Decreasing AVAi was associated with increased cardiovascular mortality (hazard ratio [95% confidence interval] 1.18 [1.16- 1.20] per 0.1 cm2/m2 downward increment]. Prognostic performance for 5-year mortality did not improve by using ELI instead of AVAi (identical C statistics 0.626 [0.612-0.640]), and the relative performance did not change when analyzing 1-year cardiovascular mortality, or all-cause mortality. ConclusionELI was not associated with improved prognostic performance compared to AVAi in echocardiographic assessment of AS using large-scale, real-world clinical data. AVAi remains a relevant measure for risk prediction in AS, providing information on incremental risk with decreasing area.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prognostic Value of Patient-Reported Outcomes in Predicting Long-term Mortality after Transcatheter Aortic Valve Replacement (TAVR) 96%
- Right Heart Remodeling After Pulmonary Valve Replacement in Patients with Pulmonary Atresia or Critical Stenosis with Intact Ventricular Septum 95%
- Influence of Sex and Race/ Ethnicity on Major Adverse Cardiovascular Outcomes Following Coronary Artery Bypass Surgery in a Large Integrated Healthcare System 93%
Similar papers in this journal
- Transcatheter or Surgical Aortic Valve Replacement in Patients with Severe Aortic Stenosis and Small Aortic Annulus: A Randomized Clinical Trial 97%
- Comparison of Long-term Outcomes of Early Surgery Versus Conventional Treatment for Asymptomatic Severe Mitral Regurgitation: A Propensity Analysis 95%
- Arrhythmia and Survival Outcomes among Black and White Patients with a Primary Prevention Defibrillator 93%
Similar papers in this journal
- Sex-Related Outcomes of Transcatheter Aortic Valve Implantation with Self-Expanding or Balloon-Expandable Valves: Insights from the OPERA-TAVI Registry 96%
- Prognostic value of compact myocardial thinning in patients with left ventricular non-compaction 95%
- Investigating Electrocardiographic Abnormalities in Patients with Coronary Microvascular Dysfunction 94%
Similar papers in this journal
- Clinical presentation, disease course and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease – a cohort study across sixteen countries 93%
- AORTA Gene: Polygenic prediction improves detection of thoracic aortic aneurysm 92%
- Right Ventricular Dysfunction: An Overlooked Predictor of Sudden Cardiac Death and Arrhythmic Events -- A Meta-Analysis 92%
Similar papers in this journal
- Improved Hemodynamic Performance and Reduced Paravalvular Regurgitation with the SAPIEN 3 Ultra RESILIA Valve: A Propensity-Matched Single-Center TAVR Study 95%
- Fragmented QRS is independently predictive of long-term adverse clinical outcomes in Asian patients hospitalized for heart failure: a retrospective cohort study 95%
- Autologous cardiac micrografts as support therapy to coronary artery bypass surgery 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.