Why the study?
Timely detection of subclinical left ventricular diastolic dysfunction is important for risk stratification of asymptomatic subjects, but the prevalence and prognostic significance using different grading approaches needed evaluation.
Does grading LVDDF using population-derived, age-specific criteria improve prediction of adverse cardiac events in community-dwelling participants compared to the 2016 ASE/EACVI recommendations?
Population
1407 community-dwelling participants
Comparison
2016 ASE/EACVI recommendations vs population-derived, age-specific criteria
Design
Prospective cohort study
Follow-up
8.4 years
Key result
Classifying left ventricular diastolic dysfunction using population-derived, age-specific criteria significantly predicted adverse cardiac events (HR 1.28; P=0.0045), unlike the 2016 recommendations.
Authors
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May enhance risk stratification versus 2016 criteria in community cohorts; hypothesis-generating, requiring prospective validation before practice change.
Cohort (n=1,407)
Does grading LVDDF using population-derived, age-specific criteria improve prediction of adverse cardiac events in community-dwelling participants compared to the 2016 ASE/EACVI recommendations?
Effect estimate: HR 1.28
p-value: p=0.0045
Using age- and population-derived thresholds for grading left ventricular diastolic dysfunction improves risk stratification and outcome prediction compared to the standard 2016 ASE/EACVI recommendations.
Kuznetsova et al. (2022) conducted a cohort in subclinical left ventricular diastolic dysfunction (LVDDF) (n=1,407). Population-derived, age-specific criteria for LVDDF grading vs. 2016 ASE/EACVI recommendations was evaluated on adverse cardiac events (HR 1.28, p=0.0045). Classifying left ventricular diastolic dysfunction using population-derived, age-specific criteria significantly predicted adverse cardiac events (HR 1.28; P=0.0045), unlike the 2016 recommendations.