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AIMS: Current guidelines recommend serial echocardiography at minimum 1-2 year intervals for monitoring patients with nonsevere aortic valve stenosis (AS), which is costly and often clinically inconsequential.We aimed to develop and test whether the biomarker-based ASGARD risk score (Aortic Valve Stenosis Guarded by Amplified Risk Determination) can guide the timing of echocardiograms in asymptomatic patients with nonsevere AS. METHODS: The development cohort comprised 1,093 of 1,589 (69%) asymptomatic patients with mild-to-moderate AS who remained event-free one year after inclusion into the SEAS trial. Cox regression landmark analyses with a 2-year follow-up identified the model (ASGARD) with the lowest Akaike information criterion for association to AS-related composite outcome (heart failure hospitalization, aortic valve replacement, or cardiovascular death). Fine-Gray analyses provided cumulative event rates by ASGARD score quartiles. The ASGARD score was internally validated in the remaining 496 patients (31%) from the SEAS-cohort and externally in 71 asymptomatic outpatients with nonsevere AS from six Copenhagen hospitals. RESULTS: The ASGARD score comprises updated measurements of heart rate and age- and sex-adjusted N-terminal pro-brain natriuretic peptide upon transaortic maximal velocity (Vmax) from the previous year. The ASGARD score had high predictive accuracy across all cohorts (external validation: area under the curve: 0.74 [95% CI, 0.62-0.86]), and similar to an updated Vmax measurement. An ASGARD score ≤50% was associated with AS-related event rates ≤5% for a minimum of 15 months. CONCLUSION: The ASGARD score could provide a personalized and safe surveillance alternative to routinely planned echocardiograms, so physicians can prioritize echocardiograms for high-risk patients.
In this study, we developed and examined the potential of the novel ASGARD risk score to tailor personalized follow-up intervals for diagnostic heart scans, incorporating updated heart rate and blood marker measurements along with the heart scan data from the previous year. Patients with the ASGARD risk score within the lowest 50% had a low annual risk of aortic valve-related events (less than 5%) for a minimum of 15 months.In clinical settings, the ASGARD score could provide a personalized and safe monitoring alternative to routine heart scans, prioritizing the diagnostic heart scans for high-risk patients.
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OBJECTIVES: In this individual participant data meta-analysis on left ventricular global longitudinal strain (LVGLS), our objective was to: 1) describe its distribution; 2) identify the most predictive cutoff values; and 3) assess its impact on mortality in asymptomatic patients with significant aortic stenosis (AS) and preserved left ventricular ejection fraction (LVEF). BACKGROUND: The evidence supporting the prognostic role of LVGLS in asymptomatic patients with AS has been obtained from several relatively small studies. METHODS: A literature search was performed for studies published between 2005 and 2017 without language restriction according to the following criteria: "aortic stenosis" AND "longitudinal strain." The corresponding authors of selected studies were contacted and invited to share their data that we computerized in a specific database. The primary endpoint was all-cause mortality. RESULTS: Among the 10 studies included, 1,067 asymptomatic patients with significant AS and LVEF >50% were analyzed. The median of LVGLS was 16.2% (from 5.6% to 30.1%). There were 91 deaths reported during follow-up with median of 1.8 (0.9 to 2.8) years, resulting in a pooled crude mortality rate of 8.5%. The LVGLS performed well in the prediction of death (area under the curve: 0.68). The best cutoff value identified was LVGLS of 14.7% (sensitivity, 60%; specificity, 70%). Using random effects model, the risk of death for patients with LVGLS <14.7% is multiplied by >2.5 (hazard ratio: 2.62; 95% confidence interval: 1.66 to 4.13; p < 0.0001), without significant heterogeneity between studies (I2 = 18.3%; p = 0.275). The relationship between LVGLS and mortality remained significant in patients with LVEF ≥60% (p = 0.001). CONCLUSIONS: This individual participant data meta-analysis demonstrates that in asymptomatic patients with significant AS and normal LVEF, impaired LVGLS is associated with reduced survival. These data emphasize the potential usefulness of LVGLS for risk stratification and management of these patients.