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Echocardiography and risk prediction in advanced heart failure: incremental value over clinical markers
Syed A Agha1, Andreas P Kalogeropoulos, Jeffrey Shih
1Cardiology Division, Emory University Hospital, Emory University, Atlanta, GA 30322, USA.
Insights
Echocardiography significantly improves risk prediction for advanced heart failure (HF) patients when added to the Seattle Heart Failure Model (SHFM). This enhances prognostic accuracy for events like death or transplantation.
Area of Science:
- Cardiology
- Medical Imaging
- Clinical Prediction Models
Background:
- The prognostic value of echocardiography in advanced heart failure (HF) is not well-defined.
- Existing clinical parameters may not fully capture risk in advanced HF.
Purpose of the Study:
- To assess the incremental value of echocardiographic parameters beyond the Seattle Heart Failure Model (SHFM) for predicting outcomes in advanced HF.
- To determine if echocardiography improves risk stratification in patients with advanced heart failure.
Main Methods:
- Evaluated 223 advanced HF patients on optimal medical therapy.
- Used the Seattle Heart Failure Model (SHFM) as a reference clinical prediction tool.
- Measured the improvement in prediction fit and discrimination by adding standard echocardiographic parameters to the SHFM.
Main Results:
- After a median 2.4-year follow-up, 38 events (death or urgent transplant) occurred.
- The SHFM alone had a C-statistic of 0.756.
- Adding left ventricular end-systolic volume, stroke volume, and severe tricuspid regurgitation to the SHFM significantly improved the C-statistic to 0.866 (P=.019).
Conclusions:
- Standard echocardiographic variables significantly enhance the risk prediction capabilities of the SHFM for advanced HF patients.
- Echocardiography provides crucial prognostic information that improves risk stratification in advanced heart failure.
Background:
Incremental value of echocardiography over clinical parameters for outcome prediction in advanced heart failure (HF) is not well established.
Methods And Results:
We evaluated 223 patients with advanced HF receiving optimal therapy (91.9% angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, 92.8% beta-blockers, 71.8% biventricular pacemaker, and/or defibrillator use). The Seattle Heart Failure Model (SHFM) was used as the reference clinical risk prediction scheme. The incremental value of echocardiographic parameters for event prediction (death or urgent heart transplantation) was measured by the improvement in fit and discrimination achieved by addition of standard echocardiographic parameters to the SHFM. After a median follow-up of 2.4 years, there were 38 (17.0%) events (35 deaths; 3 urgent transplants). The SHFM had likelihood ratio (LR) chi(2) 32.0 and C statistic 0.756 for event prediction. Left ventricular end-systolic volume, stroke volume, and severe tricuspid regurgitation were independent echocardiographic predictors of events. The addition of these parameters to SHFM improved LR chi(2) to 72.0 and C statistic to 0.866 (P < .001 and P=.019, respectively). Reclassifying the SHFM-predicted risk with use of the echocardiography-added model resulted in improved prognostic separation.
Conclusions:
Addition of standard echocardiographic variables to the SHFM results in significant improvement in risk prediction for patients with advanced HF.
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