Related Experiment Videos
Factors influencing the one-year mortality of dilated cardiomyopathy
Insights
Prognostic risk for nonischemic dilated cardiomyopathy (DC) can be predicted using clinical assessment. Key indicators include left intraventricular conduction delay, ventricular arrhythmias, and right atrial pressure.
Area of Science:
- Cardiology
- Internal Medicine
Background:
- Nonischemic dilated cardiomyopathy (DC) presents a significant mortality risk.
- Accurate prognostic indicators are crucial for patient management and risk stratification.
Purpose of the Study:
- To identify reliable prognostic risk indicators for nonischemic dilated cardiomyopathy (DC).
- To develop a predictive model for patient survival and mortality within one year.
Main Methods:
- Sixty-nine patients with nonischemic DC underwent comprehensive clinical evaluation.
- Methods included physical examination, electrocardiography, echocardiography, cardiac catheterization, 24-hour monitoring, and endomyocardial biopsy.
- Univariate and multivariate analyses were employed to identify significant predictors of mortality.
Main Results:
- The 1-year mortality rate was 35%.
- Left intraventricular conduction delay was the strongest predictor (p = 0.003), followed by pulmonary capillary wedge pressure (p = 0.005).
- Other significant factors included ventricular arrhythmias, mean right atrial pressure, ejection fraction, atrial fibrillation/flutter, and S3 gallop.
Conclusions:
- Clinical assessment, particularly left conduction delay, ventricular arrhythmias, and mean right atrial pressure, can accurately predict 1-year survival in patients with DC.
- A derived equation can aid in the prognostic assessment of nonischemic dilated cardiomyopathy patients.
Abstract:
This study was designed to determine prognostic risk indicators of nonischemic dilated cardiomyopathy (DC). Sixty-nine patients were studied. Each patient underwent physical examination (including a history), electrocardiography, echocardiography, cardiac catheterization, 24-hour monitoring and endomyocardial biopsy. The mortality rate at 1 year was 35% (24 deaths). Univariate analysis revealed that the most powerful predictor of prognosis was the left intraventricular conduction delay (p = 0.003). The pulmonary capillary wedge pressure was also predictive of mortality (p = 0.005). Other significant factors, in order of importance, were ventricular arrhythmias (p = 0.007), mean right atrial pressure (p = 0.008), angiographic ejection fraction (p = 0.03), atrial fibrillation or flutter (p = 0.01) and the presence of an S3 gallop (p = 0.05). Factors such as duration of symptoms, presence of mitral regurgitation, end-diastolic diameter, myocardial cell size and percent fibrosis in the biopsy and treatment with vasodilators, antiarrhythmic and anticoagulant drugs were not significant predictors. Multivariate analysis was used to determine which combination of factors could most accurately predict survival and death. The most important factors were left conduction delay, ventricular arrhythmias and mean right atrial pressure. An equation was derived that can be applied to the prognosis of patients with DC. Thus, the clinical assessment of patients with DC can accurately predict the probability of surviving or dying in 1 year.