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Updated: Dec 25, 2025

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Published on: October 16, 2021
Average pixel intensity method for prediction of outcome in secondary mitral regurgitation
Victor Kamoen1, Marc De Buyzere2, Milad El Haddad2
1Heart Center, Universitair Ziekenhuis Ghent, Ghent, Belgium victor.kamoen@ugent.be.
Background:
Echocardiographic grading of secondary mitral regurgitation (SMR) severity is challenging and involves multiple guideline-recommended parameters. We previously introduced the average pixel intensity (API) method for grading SMR. In this study, the clinical outcome in SMR based on the API method for grading MR was compared with conventional grading methods.
Methods:
231 patients with systolic heart failure and reduced ejection fraction (ischaemic/non-ischaemic) and SMR were prospectively enrolled. MR was graded using all guideline-recommended parameters and the API method, which is based on the pixel intensity of the continuous wave Doppler signal. The primary outcome was MACE (major adverse cardiac event).
Results:
The API method was applicable in 98% of patients with SMR (n=227). During a median follow-up of 24 months, 98 patients (43%) had a MACE (cardiovascular mortality (n=50, 22%), heart failure hospitalisation (n=44, 19%), mitral valve surgery (n=11, 5%), percutaneous mitral intervention (n=12, 5%), heart transplantation (n=5, 2%)). On log-rank test, the API method was highly significant in predicting clinical outcome. On multivariable Cox proportional hazard analysis, SMR grading with the API method was an independent predictor of clinical outcome (along with NYHA class and right ventricular systolic pressure; p<0.001), increasing the event risk by 9% per 10 au API rise (p=0.001). In the same multivariable analysis, proximal isovelocity surface area (PISA)-effective regurgitant orifice area or PISA-regurgitant volume were not independent predictors of events (p=0.18 and 0.26, respectively).
Conclusion:
SMR grading with the API method is an independent predictor of clinical outcome and provides prognostic information in addition to clinical and other echocardiographic variables.
Insights
The average pixel intensity (API) method for grading secondary mitral regurgitation (SMR) offers significant prognostic value. This echocardiographic technique independently predicts major adverse cardiac events in patients with heart failure.
Area of Science:
- Cardiology
- Echocardiography
- Heart Failure
Background:
- Secondary mitral regurgitation (SMR) grading is complex, relying on multiple echocardiographic parameters.
- The average pixel intensity (API) method was previously developed for SMR assessment.
Purpose of the Study:
- To compare the clinical outcome prediction of the API method versus conventional grading for SMR.
- To evaluate the prognostic capability of the API method in patients with heart failure and SMR.
Main Methods:
- 231 patients with heart failure and SMR were prospectively enrolled.
- Mitral regurgitation (MR) was graded using guideline parameters and the API method.
- The primary outcome was major adverse cardiac events (MACE).
Main Results:
- The API method was applicable in 98% of patients and significantly predicted clinical outcome.
- API grading of SMR was an independent predictor of MACE (p<0.001).
- Conventional parameters like PISA-effective regurgitant orifice area were not independent predictors.
Conclusions:
- The API method for SMR grading provides independent prognostic information.
- API grading adds value beyond clinical and other echocardiographic variables for predicting outcomes in SMR.
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