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Development and validation of a risk score for predicting death in Chagas' heart disease
Anis Rassi1, Anis Rassi, William C Little
1Division of Cardiology, Anis Rassi Hospital, Goiânia, Brazil. arassijr@arh.com.br
Insights
A new risk score effectively predicts mortality in Chagas heart disease patients. This tool identifies high-risk individuals, aiding clinical decision-making for Chagas
Area of Science:
- Cardiology
- Infectious Diseases
- Epidemiology
Background:
- Chagas disease poses a significant health burden in Latin America, with cardiac complications leading to considerable morbidity and mortality.
- Cardiac involvement in Chagas disease necessitates predictive tools for patient risk stratification.
Purpose of the Study:
- To develop and validate a predictive model for mortality risk in patients diagnosed with Chagas heart disease.
Main Methods:
- Retrospective evaluation of 424 outpatients from a Brazilian cohort.
- Cox proportional-hazards analysis to identify risk factors associated with death.
- Validation of the developed risk score in an independent cohort of 153 patients.
Main Results:
- Six independent prognostic factors identified: NYHA class III/IV, cardiomegaly, left ventricular systolic dysfunction, non-sustained ventricular tachycardia, low QRS voltage, and male sex.
- A risk score was created, categorizing patients into low (0-6 points), intermediate (7-11 points), and high (≥12 points) risk groups.
- 10-year mortality rates were 10%, 44%, and 84% for low, intermediate, and high-risk groups in the development cohort, and 9%, 37%, and 85% in the validation cohort, respectively.
- The model demonstrated strong predictive performance with C-statistics of 0.84 and 0.81 in the development and validation cohorts.
Conclusions:
- A simple, validated risk score effectively predicts death in patients with Chagas heart disease.
- This tool can aid clinicians in stratifying patients and guiding management strategies.
Background:
Chagas' disease is an important health problem in Latin America, and cardiac involvement is associated with substantial morbidity and mortality. We developed a model to predict the risk of death in patients with Chagas' heart disease.
Methods:
We retrospectively evaluated 424 outpatients from a regional Brazilian cohort. The association of potential risk factors with death was tested by Cox proportional-hazards analysis, and a risk score was created. The model was validated in 153 patients from a separate community hospital.
Results:
During a mean follow-up of 7.9 years, 130 patients in the development cohort died. Six independent prognostic factors were identified, and each was assigned a number of points proportional to its regression coefficient: New York Heart Association class III or IV (5 points), evidence of cardiomegaly on radiography (5 points), left ventricular systolic dysfunction on echocardiography (3 points), nonsustained ventricular tachycardia on 24-hour Holter monitoring (3 points), low QRS voltage on electrocardiography (2 points), and male sex (2 points). We calculated risk scores for each patient and defined three risk groups: low risk (0 to 6 points), intermediate risk (7 to 11 points), and high risk (12 to 20 points). In the development cohort, the 10-year mortality rates for these three groups were 10 percent, 44 percent, and 84 percent, respectively. In the validation cohort, the corresponding mortality rates were 9 percent, 37 percent, and 85 percent. The C statistic for the point system was 0.84 in the development cohort and 0.81 in the validation cohort.
Conclusions:
A simple risk score was developed to predict death in Chagas' heart disease and was validated in an independent cohort.
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