Iranian Heart Journal

Iranian Heart Journal

The Utility of the Lorenz Plot in Assessing Electrocardiographic Waveforms in Type 2 Diabetes with Sinus Rhythm: A Preliminary Controlled Clinical Observation

Document Type : Original Article

Authors
1 College of Medicine, University of Diyala, 32001 Baqubah, Iraq.
2 Department of Ultrasound and Radiology, Ishtar Institute of Medical Technology, 10016 Baghdad, Iraq.
Abstract
Background: Analysis of the Lorenz plot (LP) has been studied in tachyarrhythmias resulting from many causes. Patients with diabetes have abnormal electrocardiographic (ECG) findings related to prolonged QT intervals and ventricular repolarization, which are causes of ventricular arrhythmias. This preliminary controlled observational clinical study aimed to demonstrate the shape and pattern of LP analysis in patients with diabetes with normal sinus rhythm.

Methods: A total of 100 participants (42 healthy individuals and 58 patients with diabetes) were recruited from 2 diabetes centers in 2025. Characteristics of the participants and ECG records were obtained. Each record was analyzed by determining measurements related to different intervals and the LP up to 9 R-R(n) intervals.

Results: Significantly shorter R-R(n) intervals, QRS dispersion, and TQ intervals, and significantly prolonged P-R intervals, QRS duration, and QT and JT intervals were observed in patients with diabetes compared with healthy participants. The LP analysis revealed that the patterns and morphologies were comet and comet-club (in healthy participants) and torpedo and cigarette (in patients with diabetes), respectively. A significant positive correlation between the Tp-e/QTc value and R-R(n)+1 was observed.

Conclusions: Patients with diabetes have a distinct pattern and shape of the LP compared with healthy participants, and the R-R(n)+1 interval was significantly positively correlated with the Tp-e/QTc ratio. (Iranian Heart Journal 2026; 27(4): 40-49)
Keywords

1.         Márquez-Murillo MF, Brenner-Muslera E, Rodríguez-Carrillo DL, Chua-López CA, Torres-Tamayo M. Type 2 diabetes mellitus and nonvalvular atrial fibrillation in Mexico: National Registries Raise a Red Flag. Rev Invest Clin. 2023; 75(4):179-86.
2.         Mantovani A, Csermely A, Taverna A, Cappelli D, Benfari G, Bonapace S, et al. Association between metabolic dysfunction-associated fatty liver disease and supraventricular and ventricular tachyarrhythmias in patients with type 2 diabetes. Diabetes Metab. 2023; 49(2):101416.
3.         Chang YK, Fan HC, Hsu CC, Lim PS. The association between EKG abnormalities and the development of microalbuminuria in type 2 diabetes. Medicine (Baltimore). 2021; 100(51):e28018
4.         Kofod DH, Diederichsen SZ, Bomholt T, Andersen MØ, Andersen A, Mannheimer E, et al. Cardiac arrhythmia and hypoglycaemia among individuals with and without diabetes receiving haemodialysis (the CADDY study): a Danish multicentre cohort study. Diabetologia. 2025; 68(6):1126-39.
5.         Wang X, Zhang X, Zhang W, Li J, Weng W, Li Q. Association of sodium-glucose cotransporter 2 inhibitors (SGLT2i) with cardiac arrhythmias: A Systematic Review and Meta-Analysis of Cardiovascular Outcome Trials. Rev Cardiovasc Med. 2023; 24(9):258.
6.         Ninkovic VM, Ninkovic SM, Miloradovic V, Stanojevic D, Babic M, Giga V, et al. Prevalence and risk factors for prolonged QT interval and QT dispersion in patients with type 2 diabetes. Acta Diabetol. 2016; 53(5):737-44.
7.         Moïse NS, Gladuli A, Hemsley SA, Otani NF. "Zone of avoidance": RR interval distribution in tachograms, histograms, and Poincaré plots of a Boxer dog. J Vet Cardiol. 2010; 12(3):191-6. 
8.         Al-Nimer MS, Al-Mahdawi SA, Abdullah NM, Al-Mahdawi A. Epileptic Patients are at Risk of Cardiac Arrhythmias: A Novel Approach using QT-nomogram, Tachogram, and Cardiac Restitution Plots. J Neurosci Rural Pract. 2017; 8(1):7-13.
9.         Zheng F, Yu T, Wei X, Wen J, Li H. The Characteristics and clinical analysis of Lorenz plot of neonatal atrial tachycardia. Ann Noninvasive Electrocardiol. 2025; 30(1):e70022. 
10.      Kisohara M, Masuda Y, Yuda E, Ueda N, Hayano J. Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning. Biomed Eng Online. 2020 Jun 16; 19(1):49.
11.      Esperer HD, Esperer C, Cohen RJ. Cardiac arrhythmias imprint specific signatures on Lorenz plots. Ann Noninvasive Electrocardiol. 2008; 13(1):44-60.
12.      Zheng F, Yu T, Wei X, Wen J, Li H. The Characteristics and Clinical Analysis of Lorenz Plot of Neonatal Atrial Tachycardia. Ann Noninvasive Electrocardiol. 2025; 30(1):e70022.
13.      Al-Nimer MSM, Abdullah AK. Positive bias in the prolonged QT interval in epilepsy is related to the calculation method rather than specific anti-seizure medications. Arch Epilepsy. 2025; 31(1):13-9.
14.      Goldenberg I, Moss AJ, Zareba W. QT interval: how to measure it and what is "normal". J Cardiovasc Electrophysiol. 2006; 17(3):333-336.
15.      Romito G, Guglielmini C, Poser H, Baron Toaldo M. Lorenz Plot Analysis in Dogs with Sinus Rhythm and Tachyarrhythmias. Animals (Basel). 2021; 11(6):1645. 
16.      Flanders WH, Moïse NS, Pariaut R, Sargent J. The next heartbeat: Creating dynamic and histographic Poincaré plots for the assessment of cardiac rhythms. J Vet Cardiol. 2022; 42:1-13. 
17.      Su X, He J, Cui J, Li H, Men J. The effects of aerobic exercise combined with resistance training on inflammatory factors and heart rate variability in middle-aged and elderly women with type 2 diabetes mellitus. Ann Noninvasive Electrocardiol. 2022; 27(6):e12996.  
18.      Weidner K, Schupp T, Rusnak J, El-Battrawy I, Ansari U, Hoppner J, et al. Impact of age on the prognosis of patients with ventricular tachyarrhythmias and aborted cardiac arrest. Z Gerontol Geriatr. 2023; 56(6):484-91.
19.      Espinoza-Salinas A, Brito C, Arenas Sánchez G, Peiret Villacura L, Molina Sotomayor E, Cigarroa Cuevas I, et al. Autonomic function and its relationship with central obesity and hemodynamic variables in obese and overweight adults. Nutr Hosp. 2022; 39(2):320-8.
20.      Aburisheh K, AlKheraiji MF, Alwalan SI, Isnani AC, Rafiullah M, Mujammami M, et al. Prevalence of QT prolongation and its risk factors in patients with type 2 diabetes. BMC Endocr Disord. 2023; 23(1):50.
21.      Ozturk F, Tuner H, Atici A, Ali Barman H. Effect of empagliflozin treatment on ventricular repolarization parameters. Rev Cardiovasc Med. 2024; 25(2):64. 
22.      Xiang JT. Timed RR-interval Scatter Plots and Reverse Technology. Curr Med Sci. 2020; 40(6):1191-202.
23.      Camazzola FE, Schwartzmann PV, Sabedotti M, Massuti R, Zortea T, Chen V, et al. Comparative analysis of ECG and Holter monitoring in the assessment of heart rate in heart failure with reduced ejection fraction and sinus rhythm. Arq Bras Cardiol. 2024; 121(8):e20230771.  
24.      Borracci RA, Montoya Pulvet JD, Ingino CA, Fitz Maurice M, Hirschon Prado A, Dominé E. Geometric patterns of time-delay plots from different cardiac rhythms and arrhythmias using short-term EKG signals. Clin Physiol Funct Imaging. 2018; 38(5):856-863. 
25.      Erken Pamukcu H, Hepşen S, Şahan HF, Biçer T, Çakal E, Çimen T, Efe TH, et al. Diabetic microvascular complications associated with myocardial repolarization heterogeneity evaluated by Tp-e interval and Tp-e/QTc ratio. J Diabetes Complications. 2020; 34(12):107726. 
26.      Tokatli A, Kiliçaslan F, Alis M, Yiginer O, Uzun M. Prolonged Tp-e Interval, Tp-e/QT Ratio and Tp-e/QTc Ratio in Patients with Type 2 Diabetes Mellitus. Endocrinol Metab (Seoul). 2016; 31(1):105-12.