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Statistical analysisThis study was designed to have an 80% statistical power in detecting abnormal respiratory sinus arrhythmia in 30% of the patients with Chagas disease in a 2-sided test at 5% significance, considering a 2:1 ratio of Chagas disease and control patients. When necessary, logarithmic transformation of nonnormal or heteroscedatic data was performed to allow subsequent analysis. Baseline features and autonomic indexes of the two groups were compared with use of the unpaired Student t and exact Fisher tests. Age and tidal volume were significantly correlated with respiratory sinus arrhythmia and the individual values of the E/I ratio were adjusted for these variables. Similarly, time domain heart rate variability indexes were adjusted for age and mean 24-hour R-R interval. Pearson’s correlation coefficient was used to measure correlation between variables and, when multiple comparisons were made, the Bonferroni correction was applied. To ensure that the presence of esophageal radiologic abnormalities were not responsible for the observed reduction in vagal indexes, post hoc statistical analysis was performed after exclusion of those patients who exhibited esophageal mild motility disorders. ResultsThe study population consisted of 61 patients with Chagas disease and 38 control subjects who completed the screening protocol and showed no heart involvement or systemic disease. Clinical, radiologic, and echocardiographic characteristics of the study sample are shown in Table I.
Table II presents the results of autonomic tests for patients with Chagas disease and controls. Patients had significantly reduced respiratory sinus arrhythmia as assessed by the adjusted mean E/I ratio and only patients with Chagas disease had age-related abnormal test results. Although long-term heart rate variability indexes SDNN and SDANN were not different between groups, patients with Chagas disease had significantly reduced values of short-term heart rate variability indexes rMSSD and pNN50. The proportion of patients with abnormally reduced values of rMSSD was significantly greater in the Chagas disease group than in controls.
Figure 1 displays two examples of 3-dimensional return maps, one for a patient with Chagas disease and another for a control subject. There is a clear reduction in the maximal transversal axis (P3) of the 3-dimensional distribution obtained from the patient with Chagas disease compared with the healthy subject. P3 is related to the beat-by-beat heart period oscillation, which is significantly reduced in the Chagas disease group (Table II). Although P1 and P2 were not different between the groups, the general index MN was significantly reduced in the Chagas disease group (Table II). Table III presents the correlation matrix for autonomic indexes for controls and patients with Chagas disease.
When those patients with mild esophageal abnormalities were excluded from the study group, vagal test mean values remained significantly reduced in patients with Chagas disease compared with the controls (Table IV).
DiscussionReduced heart rate variability and abnormalities in respiratory sinus arrhythmia are definite markers of increased risk of death in several conditions, such as heart failure,13 diabetes mellitus,14 and post myocardial infarction.15 Evaluation of respiratory sinus arrhythmia and time domain indices of heart rate variability have scarcely been used to evaluate patients with Chagas disease,16 and the nonlinear 3-dimensional return map has not been used. In this study all three methods were able to detect parasympathetic dysautonomia in patients with Chagas disease without any left ventricular dysfunction. Many of the studies using respiratory sinus arrhythmia as a marker of vagal influences on the heart have been criticized by the absence of control or adjustment of the index by variables such as age, respiratory rate, and tidal volume.17 In our study all these confounding factors were considered in the analysis. Although time domain indexes of heart rate variability predominantly reflect vagal modulation to the sinus node,11 in our data only the short-term indexes RMSSD and PNN50 were reduced in patients with Chagas disease. These indexes are almost completely abolished by atropine and are considered measures of parasympathetic heart control.11 Long-term indexes, such as SDNN and SDANN, are not exclusively vagally modulated but can be influenced by other factors, including thermoregulation processes, the renin-angiotensin system, and circadian rhythms.18 Results of the 3-dimensional return map allowed us to understand the mechanism by which time domain indexes of heart rate variability were affected. The 3-dimensional return map sympathetic index P1 was not affected by Chagas disease, indicating that the reduction observed in heart rate variability was not related to any sympathetic changes. The maximal longitudinal axis of the distribution (P2) was similar in patients with Chagas disease and controls, indicating that, besides having the same mean heart rate during 24 hours, they also have the same heart rate dynamic range of variation. Patients with Chagas disease showed a reduction in the maximal beat-to-beat variability during 24 hours, expressed by the maximal transversal axis (P3), which reflects vagal modulation to the sinus node, especially during rest and sleep periods.7 Most previous studies indicated that patients with Chagas disease with normal left ventricular function also had normal autonomic test results.5, 6 Marin-Neto et al19 found significant autonomic dysfunction in the absence of left ventricular dysfunction only in patients with the digestive form of Chagas disease. At variance with these studies, our data support highly significant vagal impairment in patients with Chagas disease independently of the presence of left ventricular dilatation or depressed ejection fraction and even of radiologic esophageal abnormalities. The reasons for these discordant results may be related to methodologic aspects. All other studies evaluated small numbers of patients, reducing the statistical power to detect subtle autonomic dysfunction. Likewise, the use of less sensitive methods, such as the Valsalva maneuver, might have reduced the ability to detect autonomic abnormalities. Because Marin-Neto et al19 found significant autonomic abnormalities in patients with Chagas disease with normal left ventricular function only when they had the digestive form of the disease, it could be argued that some of our patients could also have undiagnosed digestive involvement. We took special care to select patients without manifestations of digestive involvement and most of them had normal barium esophageal studies. Mild and nonspecific motility abnormalities were occasionally found in a few patients with Chagas disease as well as in control subjects. Autonomic indexes were not correlated with such esophageal abnormalities and reduced heart rate variability and respiratory sinus arrhythmia values were found in the Chagas disease group even when we excluded those patients. The mechanisms responsible for the observed vagal dysfunction in the absence of left ventricular systolic impairment are not known. Neuronal degeneration and cholinergic terminal nerve destruction20 have been described in experimental and human Chagas disease and may be mediated by inflammatory or immune processes. On the other hand, circulating autoantibodies with partial muscarinic cholinergic agonistic activity have been found in dysautonomic asymptomatic patients with Chagas disease with normal electrocardiograms and chest x-ray films, and it has been hypothesized that it could have provoked vagal dysfunction by desensitization or down-regulation of the muscarinic receptors.21 In conclusion, our data clearly indicate that parasympathetic dysautonomia may precede left ventricular systolic dysfunction in Chagas disease. This finding may have pathophysiologic as well as clinical implications. Although the prognosis of Chagas disease without left ventricular dysfunction is thought to be good,22 as a corollary to other clinical conditions, the presence of cardiac dysautonomia may primarily influence the clinical course of the disease and, more important, may be related to sudden death, a major complication of Chagas disease. This hypothesis deserves to be tested by longitudinal studies. References1. 1 . Control of Chagas disease. WHO Technical Report Series No.: 811. 1991;1–95. 2. 2 . American trypanosomiasis (Chagas’ disease)—a tropical disease now in the United States. N Engl J Med. 1993;329:639–644. MEDLINE | CrossRef 3. 3 Clinical and morphological characteristics associated with sudden cardiac death in patients with Chagas’ disease. Eur Heart J. 1993;14:1610–1614. 4. 4 . The challenge of chagasic cardiomyopathy: the pathologic roles of autonomic abnormalities, autoimmune mechanisms and microvascular changes, and therapeutic implications. Cardiology. 1995;86:1–7. 5. 5 Functional evaluation of sympathetic and parasympathetic system in Chagas’ disease using dynamic exercise. Cardiovasc Res. 1987;21:922–927. MEDLINE | CrossRef 6. 6 . Chagas’ heart disease and the autonomic nervous system. Int J Cardiol. 1998;66:123–127. Abstract | Full Text | Full-Text PDF (154 KB) | CrossRef 7. 7 Three-dimensional return map: a new tool for quantification of heart rate variability. Auton Neurosc. 2000;83:90–99. 8. 8 Recommendations for quantitation of the left ventricle by two-dimensional echocardiography: American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. J Am Soc Echocardiogr. 1989;2:358–367. MEDLINE 9. 9 . Paced respiratory sinus arrhythmia as an index of cardiac parasympathetic tone during varying behavioral tasks. Psychophysiology. 1990;27:404–416. MEDLINE | CrossRef 10. 10 . Reduced sinus arrhythmia in diabetic autonomic neuropathy: diagnostic value of an age-related normal range. BMJ. 1982;285:1599–1601. MEDLINE 11. 11 Sympathetic nervous system representation in time and frequency domain indices of heart rate variability. Eur J Appl Physiol. 1998;79:69–73. CrossRef 12. 12 . Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation. 1996;93:1043–1065. MEDLINE 13. 13 Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-heart). Circulation. 1998;98:1510–1516. MEDLINE 14. 14 . The influence of autonomic neuropathy on mortality in insulin-dependent diabetes. Q J Med. 1991;79:494–502. 15. 15 A simple bedside test of 1-minute heart rate variability during deep breathing as a prognostic index after myocardial infarction. Am Heart J. 1999;138:32–38. Abstract | Full Text | Full-Text PDF (251 KB) | CrossRef 16. 16 Impaired heart rate variability in patients with chronic Chagas’ disease. Am Heart J. 1991;121:1727–1734. MEDLINE | CrossRef 17. 17 Important influence of respiration on human RR interval power spectra is largely ignored. J Appl Physiol. 1993;75:2310–2317. 18. 18 . Long-term measurement of heart rate variability. In: Malik M editors. Clinical guide to cardiac autonomic tests. Dordrecht: : Kluwer; 1998;p. 195–238. 19. 19 Cardiac autonomic impairment and early myocardial damage involving the right ventricle are independent phenomena in Chagas’ disease. Int J Cardiol. 1998;65:261–269. Abstract | Full Text | Full-Text PDF (643 KB) | CrossRef 20. 20 . Changes of choline acetyltransferase activity of rat tissues during Chagas’ disease. Braz J Med Biol Res. 1987;20:697–702. 21. 21 . Antiadrenergic and muscarinic receptor antibodies in Chagas’ cardiomyopathy. Int J Cardiol. 1996;54:149–156. Abstract | Full-Text PDF (663 KB) | CrossRef 22. 22 Prognostic implications of clinical, electrocardiographic and hemodynamic findings in chronic Chagas’ disease. Int J Cardiol. 1994;43:27–38. MEDLINE | CrossRef Belo Horizonte and Porto Alegre, Brazil From the aHospital das Clínicas and School of Medicine, Federal University of Minas Gerais, Belo Horizonte, the bCardiology and cBiomedical Engineering Divisions, Hospital de Clínicas de Porto Alegre, and the dDepartment of Medicine, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil ☆ Supported by grants from Fundação de Amparo à Pesquisa do Estado do Minas Gerais, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Coordenadoria de Aperfeiçoamento do Ensino Superior, Conselho Nacional de Pesquisa, and Programa de Incentivo de Núcleos de Excelência. ☆☆ Reprint requests: Antonio L. P. Ribeiro, MD, ScD, Rua Companha, 98/101, 30310-770, Belo Horizonte, MG, Brazil. E-mail: antonior@net.em.com.br PII: S0002-8703(01)63552-X doi:10.1067/mhj.2001.111406 © 2001 Mosby, Inc. 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