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Updated: Apr 6, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Diastolic myocardial dysfunction by tissue Doppler imaging predicts mortality in patients with cerebral infarction
Flemming J Olsen1, Peter G Jørgensen2,3, Rasmus Møgelvang2
1Department of Cardiology, Gentofte Hospital, University of Copenhagen, Niels Andersens Vej 65, P.835, 2900, Hellerup, Denmark. flemming.j.olsen@gmail.com.
Insights
Tissue Doppler Imaging (TDI) of myocardial velocities (e’) can predict mortality in stroke patients. Impaired diastolic function measured by TDI is a significant independent predictor of death after cerebral infarction, aiding prognostic assessment.
Area of Science:
- Cardiology
- Neurology
- Medical Imaging
Background:
- Clinical prediction scores for cerebral infarction mortality lack echocardiographic data.
- Tissue Doppler Imaging (TDI) assesses myocardial function but its prognostic role in stroke is under-explored.
Purpose of the Study:
- To evaluate the prognostic value of myocardial velocities (e') obtained by TDI in predicting mortality in patients with cerebral infarction.
Main Methods:
- Two hundred forty-four patients with cerebral infarction underwent echocardiography.
- Longitudinal mitral annular velocities (e') were measured using TDI in three apical projections.
- Cox regression, C-statistics, and reclassification analyses were used to assess mortality prediction.
Main Results:
- Patients who died had significantly impaired systolic and diastolic function (LVEF, E/e').
- Decreasing global e' was associated with a 13-fold increased mortality risk (lowest vs. highest tertile).
- Impaired global e' remained an independent predictor of mortality after multivariable adjustment (HR 1.9 [1.1;3.2] per 1 cm/s decrease).
Conclusions:
- Diastolic myocardial dysfunction, quantified by e' using TDI, is a significant independent predictor of mortality in cerebral infarction patients.
- TDI-derived myocardial velocities offer valuable prognostic information beyond conventional echocardiographic parameters.
- Incorporating TDI into prognostic assessment can improve patient stratification after cerebral infarction.
Abstract:
Several clinical prediction score models have been investigated for predicting mortality in patients with cerebral infarction. However, none of these include echocardiographic measures. Our objective was to evaluate the prognostic value of tissue Doppler imaging (TDI) of the myocardium in patients with cerebral infarction. Two hundred forty-four patients with cerebral infarction and subsequent echocardiographic examination in sinus rhythm were identified. Using TDI in three apical projections, longitudinal mitral annular velocities were obtained in six segments. Cox regression models, C-statistics and reclassification analysis were performed for global and segmental e'. During a median follow-up of 3 years 42 patients died. Patients who died had significantly impaired systolic and diastolic function (determined by LVEF and E/e'). The risk of dying increased with decreasing global e', being approximately 13 times higher for patients in the lowest tertile compared to patients in the highest tertile (HR 13.4 [3.2;56.3], p < 0.001). Patients with significantly impaired global e' showed increased mortality after multivariable adjustment for: LVEF, E/e', age, gender, heart failure, chronic obstructive pulmonary disease, prior cerebral infarction, ischemic heart disease, cancer, hypertension, hypercholesterolemia, carotid stenosis, mitral regurgitation, liver disease and thromboembolisms (HR 1.9 [1.1;3.2]), per 1 cm/s decrease, p < 0.05). Similar pattern was seen in segmental analyses of the e'. In contrast to e', no conventional echocardiographic parameters remained independent predictors of mortality after multivariable adjustment. Diastolic myocardial dysfunction determined as e' by TDI is a significant predictor of mortality in patients with cerebral infarction. Applying this parameter can aid the prognostic assessment after cerebral infarction.
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