Key result
High-risk Rassi scores in patients with Chronic Chagas Cardiomyopathy were associated with increased heart rate fragmentation, specifically a higher percentage of inflection points, compared to low-risk scores.
Why the study?
Dysautonomia plays an ancillary role in the pathogenesis of Chronic Chagas Cardiomyopathy (CCC) but causes digestive involvement; the ability of heart rate variability (HRV) for death risk stratification and its alterations in isolated CCC versus the mixed form remained to be investigated.
Does heart rate variability analysis predict death risk stratification (Rassi score) in patients with Chronic Chagas Cardiomyopathy?
Cross-Sectional (n=31)
No
Does heart rate variability analysis predict death risk stratification (Rassi score) in patients with Chronic Chagas Cardiomyopathy?
Absolute Event Rate: 66.4% vs 58.2%
p-value: p=0.032
Heart rate variability indices, particularly when combined using machine learning algorithms, can help stratify mortality risk in patients with Chronic Chagas Cardiomyopathy.
Should not yet change practice for Chagas cardiomyopathy risk stratification; leaves open prospective validation of fragmentation indices.
BACKGROUND: Dysautonomia plays an ancillary role in the pathogenesis of Chronic Chagas Cardiomyopathy (CCC), but is the key factor causing digestive organic involvement. We investigated the ability of heart rate variability (HRV) for death risk stratification in CCC and compared alterations of HRV in patients with isolated CCC and in those with the mixed form (CCC + digestive involvement). Thirty-one patients with CCC were classified into three risk groups (low, intermediate and high) according to their Rassi score. A single-lead ECG was recorded for a period of 10-20 min, RR series were generated and 31 HRV indices were calculated. The HRV was compared among the three risk groups and regarding the associated digestive involvement. Four machine learning models were created to predict the risk class of patients. RESULTS: Phase entropy is decreased and the percentage of inflection points is increased in patients from the high-, compared to the low-risk group. Fourteen patients had the mixed form, showing decreased triangular interpolation of the RR histogram and absolute power at the low-frequency band. The best predictive risk model was obtained by the support vector machine algorithm (overall F1-score of 0.61). CONCLUSIONS: The mixed form of Chagas' disease showed a decrease in the slow HRV components. The worst prognosis in CCC is associated with increased heart rate fragmentation. The combination of HRV indices enhanced the accuracy of risk stratification. In patients with the mixed form of Chagas disease, a higher degree of sympathetic autonomic denervation may be associated with parasympathetic impairment.
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Silva et al. (2022) conducted a cross-sectional in Chronic Chagas Cardiomyopathy (n=31). High Rassi score risk vs. Low Rassi score risk was evaluated on Percentage of inflection points (PIP) in heart rate variability (p=0.032). High-risk Rassi scores in patients with Chronic Chagas Cardiomyopathy were associated with increased heart rate fragmentation, specifically a higher percentage of inflection points, compared to low-risk scores.
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