Tissue Doppler imaging to predict clinical course of patients with hypertrophic cardiomyopathy
Aims Diastolic tissue Doppler (TD) parameters allow prediction of patients with hypertrophic cardiomyopathy (HC) at risk of sudden death, ventricular tachycardia, or cardiac arrest. The aim of this study was to assess the value of TD imaging in predicting the clinical course of patients with HC. Met...
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Published in | European journal of echocardiography Vol. 9; no. 2; pp. 278 - 283 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.03.2008
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Subjects | |
Online Access | Get full text |
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Summary: | Aims
Diastolic tissue Doppler (TD) parameters allow prediction of patients with hypertrophic cardiomyopathy (HC) at risk of sudden death, ventricular tachycardia, or cardiac arrest. The aim of this study was to assess the value of TD imaging in predicting the clinical course of patients with HC.
Methods and results
Eighty-six HC patients were prospectively included in the study and followed-up for clinical endpoints (cardiovascular death or hospitalization due to worsening of heart failure symptoms). Patients with clinical endpoints (n = 25) had larger left atrium diameters, thicker left ventricle (LV) walls, more often LV outflow obstruction and lower TD velocities of LV. LV outflow tract obstruction (r=0.54, R²=0.29, P<0.03) and LV lateral mitral annular systolic tissue Doppler velocity (LMSa) (r=0.50, R²=0.25, P<0.0001) were found to be independent predictors for clinical endpoints in forward stepwise regression. The best value of LMSa with the highest sensitivity (75%) and specificity (88%) was 4 cm/s for predicting clinical endpoints. Patients with LMSa velocities > 4 cm/s were significantly free of clinical endpoints.
Conclusion
In conclusion, LMSa seems to be a reliable parameter that can be used in predicting the HC patients at risk for clinical deterioration or death at long-term follow-up. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1525-2167 1532-2114 |
DOI: | 10.1093/ejechocard/jen049 |