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Clinical significance of tissue Doppler imaging in chronic Chagas disease
Tomás F Cianciulli1,2, María C Saccheri1, Alonso Papantoniou1
1Division of Cardiology, Hospital del Gobierno de la Ciudad de Buenos Aires "Dr. Cosme Argerich", Buenos Aires, Argentina.
Insights
Doppler Tissue Imaging (DTI) can predict future cardiac events in chronic Chagas disease (ChD) patients. Lower DTI measurements, specifically S' and E' waves, indicate a higher risk of major adverse cardiovascular events.
Area of Science:
- Cardiology
- Parasitology
- Medical Imaging
Background:
- Chagas disease (ChD) is a significant parasitic infection in Latin America.
- Cardiac involvement in ChD is a primary cause of mortality.
- Early identification of at-risk patients is crucial for intervention.
Purpose of the Study:
- To determine if Doppler Tissue Imaging (DTI) can predict future adverse cardiovascular events in patients with chronic Chagas disease.
- To assess the prognostic value of DTI parameters in Chagas disease cardiomyopathy.
Main Methods:
- Analysis of DTI variables in 543 patients with chronic ChD.
- Multivariate logistic regression was used to identify predictors of major adverse cardiovascular events (MACE).
- MACE included stroke, heart failure, ventricular tachycardia, sudden cardiac death, and cardiovascular death.
Main Results:
- Lower S' wave and E' wave velocities of the left ventricle's lateral wall were significant predictors of MACE.
- The S' wave predicted MACE with an Odds Ratio (OR) of 0.83 (95% CI: 0.71-0.96, P=0.015).
- The E' wave predicted MACE with an OR of 0.80 (95% CI: 0.66-0.98, P=0.031).
Conclusions:
- Doppler Tissue Imaging parameters are significantly reduced in chronic ChD patients who experience adverse cardiovascular events.
- Lower DTI parameters, specifically S' and E' waves, serve as significant predictors of future cardiac events in Chagas disease.
- DTI offers valuable prognostic information for managing Chagas disease cardiomyopathy.
Introduction:
Chagas disease (ChD) is one of the main parasitic diseases in Latin-America. Its heart involvement is the most important cause of death. The aim of this study is to evaluate if Doppler Tissue Imaging (DTI) may have a predictive value for later events in subjects with chronic ChD.
Methods:
we analyses DTI variables of 543 patients with chronic ChD for the evaluation of predicting factors of events. Major adverse cardiovascular events (MACE) were considered as stroke, heart failure resistant to treatment, sustained ventricular tachycardia, implantable cardioverter-defibrillator, sudden death, and cardiovascular death. The following findings were also included in total evens: heart failure, bradycardia, ventricular arrhythmia, new conduction system abnormalities, and new echocardiographic abnormalities. Multivariate analysis with logistic regression was used in order to assess the Doppler and DTI parameters predicting events. Variables with a P-value ≤ .5 in the univariate analysis were included in the multivariate analysis.
Results:
In patients with chronic ChD, the analysis of DTI parameters showed that S' wave and E' wave of the lateral wall of the left ventricle were significant predictors of MACE (OR: 0.83; 95% CI: 0.71-0.96; P-value: .015 and OR: 0.80; 95% CI: 0.66-0.98; P-value: .031, respectively).
Conclusions:
This study found that patients with chronic ChD who had events showed significantly lower parameters in the DTI. What is more, this study showed that even lower DTI parameters are significant predictors of events.
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