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Published on: November 28, 2018
Risk Prediction in Aortic Valve Replacement: Incremental Value of the Preoperative Echocardiogram
Timothy C Tan1, Aidan W Flynn2, Annabel Chen-Tournoux3
1Massachusetts General Hospital, Harvard Medical School, Boston, MA (T.C.T., A.W.F., P.M., M.C.N., L.M.R., D.M.S., M.H.P., J.A.).
Insights
Echocardiograms can improve risk prediction for aortic valve replacement (AVR) surgery. Key echocardiographic measures, including left ventricular filling pressure and right ventricular function, enhance existing risk scores for better patient selection.
Area of Science:
- Cardiology
- Cardiac Surgery
- Echocardiography
Background:
- Risk prediction is crucial for selecting patients for aortic valve replacement (AVR).
- Current risk scores utilize limited echocardiographic parameters.
- There is a need to assess the added value of comprehensive echocardiography in identifying high-risk surgical candidates.
Purpose of the Study:
- To evaluate the incremental predictive value of a complete echocardiogram.
- To identify high-risk surgical candidates before AVR.
- To improve patient selection for AVR.
Main Methods:
- A cohort of 432 patients undergoing surgical AVR for severe aortic stenosis was studied.
- Preoperative echocardiograms were analyzed for chamber size/function and valve function.
- Multivariable logistic regression and Cox regression were used to identify predictors of mortality and morbidity.
Main Results:
- E/e' ratio, myocardial performance index, and small left ventricular (LV) end-diastolic cavity size predicted in-hospital mortality or major morbidity.
- These echocardiographic parameters improved risk prediction by 4.1% when added to the STS risk score.
- Small LV end-diastolic cavity size, LV mass index, mitral regurgitation grade, right atrial area index, and mean aortic gradient <40 mm Hg predicted 2-year all-cause mortality.
Conclusions:
- Echocardiographic measures of LV diastolic dysfunction and RV performance offer incremental value to the STS risk score.
- These echocardiographic findings should be integrated into risk prediction for AVR.
- Small, hypertrophied LV cavities and low mean aortic gradients are associated with higher 2-year mortality risk.
Background:
Risk prediction is a critical step in patient selection for aortic valve replacement (AVR), yet existing risk scores incorporate very few echocardiographic parameters. We sought to evaluate the incremental predictive value of a complete echocardiogram to identify high-risk surgical candidates before AVR.
Methods And Results:
A cohort of patients with severe aortic stenosis undergoing surgical AVR with or without coronary bypass was assembled at 2 tertiary centers. Preoperative echocardiograms were reviewed by independent observers to quantify chamber size/function and valve function. Patient databases were queried to extract clinical data. The cohort consisted of 432 patients with a mean age of 73.5 years and 38.7% females. Multivariable logistic regression revealed 3 echocardiographic predictors of in-hospital mortality or major morbidity: E/e' ratio reflective of elevated left ventricular (LV) filling pressure; myocardial performance index reflective of right ventricular (RV) dysfunction; and small LV end-diastolic cavity size. Addition of these echocardiographic parameters to the STS risk score led to an integrated discrimination improvement of 4.1% (P<0.0001). After a median follow-up of 2 years, Cox regression revealed 5 echocardiographic predictors of all-cause mortality: small LV end-diastolic cavity size; LV mass index; mitral regurgitation grade; right atrial area index; and mean aortic gradient <40 mm Hg.
Conclusions:
Echocardiographic measures of LV diastolic dysfunction and RV performance add incremental value to the STS risk score and should be integrated in prediction when evaluating the risk of AVR. In addition, findings of small hypertrophied LV cavities and/or low mean aortic gradients confer a higher risk of 2-year mortality.
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