Prognostic value of diastolic filling parameters derived using a novel image processing technique in patients > or =
M W Rich1, N O Stitziel, S J Kovács
1Department of Internal Medicine, Washington University School of Medicine, Barnes-Jewish Hospital at Washington University Medical Center, St. Louis, Missouri 63110, USA.
Insights
A new automated method using mathematical modeling of heart function accurately predicts 1-year mortality in elderly heart failure patients. This novel approach, analyzing transmitral Doppler images, identifies severe diastolic dysfunction with high accuracy.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Conventional echocardiography for diastolic function assessment is labor-intensive, requiring manual analysis of multiple Doppler parameters.
- Diastolic dysfunction is a significant contributor to heart failure, particularly in elderly populations.
- There is a need for more objective and automated methods to assess diastolic function and predict outcomes.
Purpose of the Study:
- To introduce and validate a novel model-based image processing technique for automated diastolic function assessment.
- To evaluate the prognostic value of a new index, beta, derived from this technique for predicting 1-year mortality in elderly heart failure patients.
Main Methods:
- A mathematical model was developed to characterize diastolic function using transmitral Doppler images, focusing on the E-wave contour.
- The model generates three parameters (x(o), k, and c), from which a novel index beta (beta = c2 - 4k) is calculated.
- Doppler E waves from 39 elderly heart failure patients were analyzed, and the predictive accuracy of beta for 1-year mortality was assessed.
Main Results:
- A beta value of <-900 indicated severe diastolic dysfunction and was associated with significantly higher 1-year mortality (47% vs. 0%, p = 0.001).
- The dichotomized beta index demonstrated a predictive accuracy of 0.769 for 1-year vital status.
- On multivariate analysis, the beta index was the strongest independent predictor of 1-year mortality, outperforming traditional parameters like deceleration time and ejection fraction.
Conclusions:
- Model-based image processing offers an automated and objective method for evaluating diastolic function.
- The novel index beta derived from this technique provides valuable prognostic information regarding 1-year mortality in elderly heart failure patients.
- This automated approach has the potential to improve risk stratification and clinical management of heart failure.
Abstract:
Conventional echocardiographic characterization of diastolic function requires manual analysis of Doppler E-and A-wave amplitudes, deceleration times, isovolumic relaxation times, and pulmonary venous flow patterns. Mathematic modeling of the suction pump activity of the heart permits characterization of diastolic function through model-based image processing, which relies solely on transmitral Doppler images. This automated method uniquely specifies the entire E-wave contour using 3 parameters (x(o), k, and c) that determine E-wave amplitude, width, and rate of decay. Moreover, the index beta = c2 - 4k, reflecting the balance between chamber viscosity and stiffness/recoil, represents a novel parameter for characterizing diastolic function. We analyzed Doppler E waves from 39 patients (mean age 79 years, 61% women, mean ejection fraction 47%) using the model-based image processing technique. A value of beta <-900 was selected as indicative of severe diastolic dysfunction. Of 17 subjects with beta <-900, 8 (47%) were no longer alive at 1 year. Of 22 subjects with beta >-900, all were alive (p = 0.001). The index beta, dichotomized at <-900, had a predictive accuracy of 0.769 (30 of 39), a negative predictive value of 1.0 (22 of 22 alive), and a positive predictive value of 0.471 (8 of 17 deceased) for 1-year vital status. Of 14 subjects with deceleration time < or =160 ms, 5 (36%) were deceased at 1 year, whereas for deceleration time >160 ms, 22 of 25 patients were alive (p = NS). Of 16 subjects with ejection fraction <45%, 6 (38%) were deceased at 1 year. Of 23 subjects with ejection fraction >45%, 21 were alive at 1 year (p = 0.074). On multivariate analysis, beta dichotomized at -900 was the strongest independent predictor of 1-year mortality. We conclude that evaluation of diastolic function using model-based image processing provides valuable prognostic information in elderly patients with heart failure.
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