ABC | Volume 111, Nº1, Julho 2018

Artigo Original Oliveira et al Dinâmica não linear em jovens com diabetes tipo 1 Arq Bras Cardiol. 2018; 111(1):94-101 1. Sociedade Brasileira de Diabetes. (SBD). Diretrizes Sociedade Brasileira de Diabetes.DiabetesMellitotipo1etipo2.SãoPaulo:ACFarmacêutica;2015. 2. Rolim LC, Sá JR, Chacra AR, Dib SA. Diabetic cardiovascular autonomic neuropathy:risk factors,clinical impactandearlydiagnosis.ArqBrasCardiol. 2008;90(4):e23-31. 3. Vinik AI, Ziegler D. Diabetic cardiovascular autonomic neuropathy. Circulation. 2007;115(3):387-97. 4. Vanderlei LC, Pastre CM, Hoshi RA, Carvalho TD, Godoy MF. Basic notions of heart rate variability and its clinical applicability. Rev Bras Cir Cardiovasc. 2009;24(2):205-17. 5. Roy B, Ghatak S. Nonlinearmethods to assess changes in heart rate variability in type 2 diabetic patients. Arq Bras Cardiol. 2013;101(4):317-27. 6. Guzzetti S, Borroni E, Garbelli PE, Ceriani E, Della Bella P, Montano N, et al. Symbolic dynamics of heart rate variability: A probe to investigate cardiac autonomic modulation. Circulation. 2005;112(4):465-70. 7. Porta A, Tobaldini E, Guzzetti S, Furlan R, Montano N, Gnecchi-Ruscone T. Assessment of cardiac autonomicmodulation during graded head-up tilt by symbolic analysis of heart rate variability. Am J Physiol Heart Circ Physiol. 2007;293(1):H702-8. 8. Porta A, Guzzetti S, Furlan R, Gnecchi-Ruscone T, Montano N, Malliani A. Complexity and non linearity in short-term heart period variability : comparison of methods based on local non linear prediction. IEEE Trans Biomed Eng. 2007;54(1):94-106. 9. Porta A, Guzzetti S, Montano N, Furlan R, Pagani M, Malliani A, et al. Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series. IEEE Trans Biomed Eng. 2001;48(11):1282-91. 10. Moura-Tonello SC, Takahashi AC, Francisco CO, Lopes SL, Del Vale AM, Borghi-Silva A, et al. Influence of type 2 diabetes on symbolic analysis and complexity of heart rate variability in men. Diabetol Metab Syndr. 2014;6(1):13. 11. Khandoker AH, JelinekHF, Palaniswami M. Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis. Biomed Eng Online. 2009 Jan 29;8:3. 12. Godoy MF, Takakura IT, Correa PR. The relevance of nonlinear dynamic analysis (Chaos Theory) to predict morbidity and mortality in patients undergoing surgical myocardial revascularization. Arq Ciênc Saúde. 2005;12(4):167-71. 13. Souza NM, Pastre CM, Kastelianne A, Fernanda A, Bernardo B, Vanderlei FM, et al. Geometric indexes of heart rate of variability identifies autonomic alterations in young patients with type 1 diabetes mellitus. Curr Res Cardiol. 2016;3(2):38-42. 14. Brazilian Association for the Study of Obesity and metabolic syndrome. ABESO. III Brazilian guidelines on obesity. 3rd ed. São Paulo: AC Pharmaceuticals; 2009. 15. Vanderlei LC, Silva RA, Pastre CM, Azevedo FM, GodoyMF. Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability inthetimeand frequencydomains.Braz JMedBiolRes.2008;41(10):854-9. 16. Ewing DJ, Neilson JM, Shapiro CM, Stewart JA, Reid W. Twenty four hour heart rate variability: effects of posture, sleep, and time of day in healthy controlsandcomparisonwithbedsidetestsofautonomic function indiabetic patients. Br Heart J. 1991;65(5):239-44. 17. Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-Aho PO, Karjalainen PA. Kubios HRV - Heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-20. 18. Maher JM, Markey JC, Ebert-May D. The other half of the story: Effect size analysis in quantitative research. CBE Life Sci Educ. 2013;12(3):345-51. 19. JavorkaM, Trunkvalterova Z, Tonhajzerova I, Javorkova J, Javorka K, Baumert M. Short-term heart rate complexity is reduced in patients with type 1 diabetes mellitus. Clin Neurophysiol. 2008;119(5):1071-81. 20. Jaiswal M, Urbina EM, Wadwa RP, Talton JW, D’Agostino RB, Hamman RF, et al. Reduced heart rate variability among youth with type 1 diabetes: The SEARCH CVD study. Diabetes Care. 2013;36(1):157-62. 21. Dungan KM, Osei K, Sagrilla C, Binkley P. Effect of the approach to insulin therapy on glycaemic fluctuations and autonomic tone in hospitalized patients with diabetes. Diabetes Obes Metab. 2013;15(6):558-63. 22. Pumprla J, Howorka K, Groves D, Chester M, Nolan J. Functional assessment of heart rate variability: Physiological basis and practical applications. Int J Cardiol. 2002;84(1):1-14. 23. May O, Arildsen H. Long-term predictive power of simple function tests for cardiovascularautonomicneuropathy indiabetes:apopulation-basedstudy. Acta Diabetol. 2011;48(4):311-6. 24. SchmidH. Cardiovascular impact of the autonomic neuropathy of diabetes mellitus. Arq Bras Endocrinol Metab. 2007;51(2):232-43. 25. Metelka R. Heart rate variability--current diagnosis of the cardiac autonomic neuropathy. a review. Biomed PapMed Fac Univ Palacký, Olomouc, Czech Repub. 2014;158(3):327-38. 26. Boulton AJ, Vinik AI, Arezzo JC, Bril V, Feldman EL, Freeman R, et al; American Diabetes Association. Diabetic neuropathies: a statement by the American Diabetes Association. Diabetes Care. 2005;28(4):956-62. Referências Este é um artigo de acesso aberto distribuído sob os termos da licença de atribuição pelo Creative Commons Fontes de financiamento O presente estudo foi financiado pela Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), número do processo 2013/19055-0 e parcialmente financiado pelo Programa Institucional de Bolsas de Iniciação Científica (PIBIC). Vinculação acadêmica Este artigo é parte de dissertação de Mestrado de Anne Kastelianne França da Silva pela Faculdade de Ciências e Tecnologia e UNESP-Presidente Prudente. Aprovação ética e consentimento informado Este estudo foi aprovado peloComitê de Ética da Faculdade de Ciências e Tecnologia (FCT/UNESP), Campus Presidente Prudente sob o número de protocolo CAAE: 22530813.9.0000.5402; processo 417.031. Todos os procedimentos envolvidos nesse estudo estão de acordo com a Declaração de Helsinki de 1975, atualizada em 2013. O consentimento informado foi obtido de todos os participantes incluídos no estudo. 101

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