Why the study?
Does the average pixel intensity (API) method predict major adverse cardiac events better than conventional grading methods in patients with systolic heart failure and secondary mitral regurgitation?
Population
231 patients with systolic heart failure and reduced ejection fraction and secondary mitral regurgitation
Comparison
Echocardiographic grading of secondary mitral… vs Conventional echocardiographic grading methods
Design
Cohort
Follow-up
median 24 months
Key result
Grading secondary mitral regurgitation with the average pixel intensity method independently predicted MACE, increasing event risk by 9% per 10 au rise (p=0.001).
Authors
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API grading independently predicted MACE in SMR; supports validation as a prognostic adjunct but leaves clinical adoption open pending trials.
Cohort (n=231)
Does the average pixel intensity (API) method predict major adverse cardiac events better than conventional grading methods in patients with systolic heart failure and secondary mitral regurgitation?
Effect estimate: 9% risk increase per 10 au API rise
p-value: p=0.001
The average pixel intensity method for grading secondary mitral regurgitation provides independent prognostic information for predicting MACE in patients with systolic heart failure, outperforming conventional PISA methods.
Kamoen et al. (2020) conducted a cohort in Secondary mitral regurgitation and systolic heart failure (n=231). Average pixel intensity (API) method vs. Conventional grading methods (e.g., PISA) was evaluated on MACE (major adverse cardiac event) (9% risk increase per 10 au API rise, p=0.001). Grading secondary mitral regurgitation with the average pixel intensity method independently predicted MACE, increasing event risk by 9% per 10 au rise (p=0.001).