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Revealing alterations in heart rate fluctuations during the progression of Chagas disease
Magdalena M Defeo1, Laura A Delaplace2, Juan C Goin3
1Hospital Interzonal General de Agudos "Prof. R. Rossi", La Plata, Argentina.
Insights
Heart rate variability (HRV) analysis using the false nearest neighbors index (FN10) can detect changes in Chagas disease progression. This index shows potential as a prognostic biomarker for heart disease in affected individuals.
Area of Science:
- Cardiology
- Biomedical Engineering
- Complex Systems
Background:
- Heart rate variability (HRV) reflects sinoatrial node (SAN) architecture and autonomic nervous system (ANS) regulation.
- Chagas disease significantly impacts HRV, altering its complexity.
- Understanding HRV changes is crucial for managing Chagas disease progression.
Purpose of the Study:
- To evaluate the false nearest neighbors index (FN10) as a measure of HRV changes in Chagas disease.
- To assess FN10's ability to reflect disease progression.
- To identify potential prognostic biomarkers for Chagas heart disease.
Main Methods:
- Retrospective, descriptive, cross-sectional study design.
- Analysis of HRV time series in participants with Chagas disease.
- Determination of FN10 dependence on age and sex in healthy individuals.
Main Results:
- FN10 exhibits age-dependent scaling in healthy populations, independent of sex.
- Elevated FN10 values were observed in some individuals with Chagas disease.
- Findings correlate with pathophysiological mechanisms of Chagas disease progression.
Conclusions:
- The FN10 index shows promise in reflecting HRV alterations in Chagas disease.
- FN10 may serve as a candidate prognostic biomarker for heart disease in Chagas patients.
- Further research can validate FN10 for clinical application in Chagas disease management.
Introduction:
The heart rate variability (HRV) continually evolves throughout life, reflecting modifications in the architecture of the sinoatrial node (SAN) and in the regulation of heart rate by the autonomic nervous system (ANS). Both can be considerably affected by Chagas disease, causing important changes in the complex nature of HRV. We aim to evaluate the ability of an index based on the false nearest neighbors method (FN10) to reflect these changes during disease progression.
Methods:
We perform a retrospective, descriptive, and cross-sectional study analyzing HRV time series of participants with Chagas disease. We determine the dependence of FN10 on age and sex in a healthy population, and then evaluate FN10 in individuals with Chagas disease.
Results And Discussion:
In the healthy population, FN10 has a scaling behavior with age, which is independent of sex. In Chagas disease, some individuals show FN10 values significantly above those seen in the healthy population. We relate the findings to the pathophysiological mechanisms that determine the progression of the disease. The results indicate that FN10 may be a candidate prognostic biomarker for heart disease.
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