ABC | Volume 114, Nº2, February 2020

Original Article Inanır et al. Arrhythmia predictors in type 1 diabetes mellitus Arq Bras Cardiol. 2020; 114(2):275-280 Limitations Manual calculation of measurements instead of computer- assisted calculationsmay be a limitation. Automatedmeasurement systems have been developed for QT measurement, but some problems currently exist with these systems. 38 Manual identification of T-end is also problematic, cardiologist- dependent, and poorly reproducible. Therefore, automated methods may be preferrable. 39 Long‑term ambulatory ECG monitorization methods might be valuable for documenting the association between the surface ECG parameters studied and arrhythmias. The number of patients in our study was relatively small. A larger patient population would provide more precise results. Association between ECG parameters may be evaluated along with other potential mechanisms for sudden death, such as autonomic dysfunction and fibrosis detected by magnetic resonance imaging. Lack of clinical follow up of the patients regarding arrhythmias and sudden death is another important limitation. Conclusions Previous studies have shown that QTc and QTdc prolongation is important in terms of malignant ventricular arrhythmias in patients with T1DM. 40 However, Tp-e and JTc intervals and Tp-e/QT and Tp-e/QTc ratios had not previously been measured in patients with T1DM. This study shows that these relatively new repolarization indices and potential electrocardiographic predictors of ventricular arrhythmias are significantly increased in T1DM. Further studies are needed to confirm our results. We hope that clinical significance of this finding for the prediction of malignant arrhythmias will be evaluated in future long-term follow-up and large-scale prospective studies. Author contributions Conception and design of the research, Analysis and interpretation of the data, Statistical analysis andWriting of the manuscript: Inanır M, Gunes Y, Sincer I, Erdal E; Acquisition of data: Inanır M, Gunes Y; Obtaining financing: Inanır M, Gunes Y, Erdal E; Critical revision of the manuscript for intellectual content: Inanır M, Gunes Y. Potential Conflict of Interest No potential conflict of interest relevant to this article was reported. Sources of Funding There were no external funding sources for this study. Study Association This study is not associatedwith any thesis or dissertationwork. Ethics approval and consent to participate This study was approved by the Ethics Committee of the Abant Izzet Baysal UniversityHospital under the protocol number 2018‑216. All theprocedures in this studywere in accordancewith the1975Helsinki Declaration, updated in2013. Informed consent was obtained from all participants included in the study. 1. Vasiliadis I,KolovouG,MavrogeniS,NairDR,MikhailidisDP.Suddencardiac death and diabetes mellitus. J Diabetes Complications. 2014;28(4):573-9. 2. Melendez-Ramirez LY, Richards RJ, Cefalu WT. Complications of type 1 diabetes. Endocrinol Metab Clin North Am. 2010;39(3):625-40. 3. Orchard TJ, Costacou T, Kretowski A, Nesto RW. Type 1 diabetes and coronary artery disease. Diabetes Care. 2006;29(11):2528-38. 4. Maser RE, Wolfson SK Jr, Ellis D, Stein EA, Drash AL, Becker DJ, et al. Cardiovasculardiseaseandarterialcalcification in insulin-dependentdiabetes mellitus: interrelations and risk factor profiles. Pittsburgh Epidemiology of Diabetes Complications Study-V. Arterioscler Thromb. 1991;11(4):958-65. 5. MonitilloF,LeoneM,RizzoC,PassantinoA,IacovielloM.Ventricularrepolarization measuresforarrhythmicriskstratification.WorldJCardiol.2016;8(1):57-73. 6. Weston PJ. The dead in bed syndrome revisited: a review of the evidence. Diabetes Manag. 2012;2(3):233-41. 7. American Diabetes Association. Classification and Diagnosis of Diabetes: StandardsofMedicalCare inDiabetes-2018.DiabetesCare.2018;41(Suppl 1):S13-S27. 8. Bazett HC. An analysis of the time relations of electrocardiograms. Ann Noninvasive Electrocardiol. 1997;2(2):177-94. 9. Cox AJ, AzeemA, Yeboah J, Soliman EZ, Aggarwal SR, Bertoni AG, et al. Heart rate-corrected QT interval is an independent predictor of all-cause and cardiovascular mortality in individuals with type 2 diabetes: the Diabetes Heart Study. Diabetes Care. 2014;37(5):1454-61. 10. Mandala S, Di TC. ECG Parameters for malignant ventricular arrhythmias: a comprehensive review. J Med Biol Eng. 2017;37(4):441-53. 11. Kato T, Yamashita T, Sekiguchi A, Sagara K, TakamuraM, Takata S, et al. What are arrhythmogenic substrates in diabetic rat atria? J Cardiovasc Electrophysiol. 2006;17(8):890-4. 12. Piers SR, Everaerts K, Van der Geest RJ, Hazebroek MR, Siebelink HM, Pison LA, et al. Myocardial scar predicts monomorphic ventricular tachycardia but not polymorphic ventricular tachycardia or ventricular fibrillation in nonischemic dilated cardiomyopathy. Heart Rhythm. 2015;12(10):2106-14. 13. Qu Z, Weiss JN. Mechanisms of ventricular arrhythmias: from molecular fluctuations to electrical turbulence. Annu Rev Physiol. 2015;77(1):29-55. 14. Vrtovec B, Delgado R, Zewail A, Thomas CD, Richartz BM , Radovancevic B. Prolonged QTc interval and high B-type natriuretic peptide levels together predict mortality in patients with advanced heart failure. Circulation. 2003;107(13):1764-9. 15. Chugh SS, Reinier K, Singh T , Uy-Evanado A, Socoteanu C, Peters D, et al. Determinants of prolonged QT interval and their contribution to sudden deathrisk incoronaryarterydisease:theOregonSuddenUnexpectedDeath Study. Circulation. 2009;119(5):663-70. 16. Cox A, Azeem A, Yeboah J, Soliman EZ, Aggarwal SR, Bertoni AG, et al. Heart rate-corrected qt interval is an independent predictor of all-cause and cardiovascular mortality in individuals with type 2 diabetes: the diabetes heart study. Diabetes Care. 2014;37(5):1454-61. References 278

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