Detection of microvascular complications of diabetes by EZSCAN method and their correlation with metabolic indices


  • Alankar Tiwari Department of Medicine, Moti Lal Nehru Medical College, Allahabad, Uttar Pradesh, India
  • Saumya Pandey Department of Pathology, Maulana Azad Medical College, New Delhi, India



EZSCAN, Metabolic indices, Microvascular complications, Type 2 diabetes


Background: EZSCAN is a new, non-invasive technique to detect sudomotor dysfunction and thus neuropathy in diabetes patients at an early stage. It further predicts chances of development of other microvascular complications. In this study we evaluated EZSCAN for detection of microvascular complications in Type 2 diabetes patients and assessed their correlation with various metabolic parameters.

Methods: 104 known diabetes patients, 56 males and 48 females, were studied. All cases underwent the EZSCAN test, Body mass index measurement, fasting and postprandial blood glucose, HbA1c tests. Diabetes related complications were thereafter correlated with various metabolic indices.

Results: Strong correlation was found between HbA1c, body mass index (BMI), fasting blood glucose (FBG) and post-prandial blood glucose (PPBG) with diabetes related microvascular complications assessed by EZSCAN, strongest being with FBG (r=0.755) and weakest with BMI(r=0.232).

Conclusions: Microvascular complications of diabetes as detected by EZSCAN method correlate strongly with metbolic indices of the patient and thus EZSCAN can be used as a simple, non-invasive and quick method to detect microvascular complications of diabetes.


Kannan MA, Sarva S, Kandadai RM, Paturi VR, Jabeen SA, Borgohain R. Prevalence of neuropathy in patients with impaired glucose tolerance using various electrophysiological tests. Neurol India. 2014;62(6):656-61.

Smith AG, Singleton JR. Impaired glucose tolerance and neuropathy. Neurologist. 2008;14(1):23-9.

Ramachandran A, Moses A, Shetty S, Thirupurasundari CJ, Seeli AC, Snehalatha C, et al. A new non-invasive technology to screen for dysglycaemia including diabetes. Diab Res Clin Pract. 2010;88(3):302-6.

Sheng CS, Zeng WF, Huang QF, Deslypere JP, Li Y, Wang JG. Accuracy of a Novel Non-Invasive technology based EZSCAN system for the diagnosis of diabetes mellitus in Chinese. Diabetol Metab Syndr. 2011;3(1):36.

Chen L, Chen X, Ding R, Shi Q Jr, Hu D. Evaluation of EZSCAN as a screening tool for impaired glucose metabolism. Diab Res Clin Prac. 2013;8(2): e56480.

Yang Z, Baihui Xu, Jieli Lu, Xiaoguang Tian, Mian Li, Kan Sun et al. Autonomic Test by EZSCAN in the Screening for Prediabetes and Diabetes. PLoS One. 2013;8(2):e56480.

Schwarz P, Brunswick P, Calvet J-H. EZSCAN™ a new technology to detect diabetes risk. Br J Diabetes Vasc Dis. 2011;11:204-9.

Brunswick Ph Mayaudon H, Albin V, Lair V, Ringuede A, Cassir M. Use of Ni electrodes chronoamperometry for improved diagnostics of diabetes and cardiac diseases. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4544-7.

Zoungas S, Chalmers J, Ninomiya T, Li Q, Cooper ME, Colagiuri S, et al. Association of HbA1c levels with vascular complications and death in patients with type 2 diabetes: evidence of glycaemic thresholds. Diabetologia. 2012;55(3):636-43.

JI Kim, RJ Stevens, RR Holman. FPG and HbA1c are independent risk factors for microvascular but not macrovascular complications in newly diagnosed type 2 diabetes. Diabetologia. 2005;48(Suppl 1):A33.

Adler AI, Stratton IM, Neil HA and et al. Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study. BMJ. 2000;321(7258):412-9.

Monnier L, Lapinski H, Colette C. Contributions of fasting and postprandial plasma glucose increments to the overall diurnal hyperglycemia of type 2 diabetic patients: variations with increasing levels of HbA(1c). Diabetes Care. 2003;26(3):881-5.

Nathan DM, Turgeon H, Regan S. Relationship between glycated haemoglobin levels and mean glucose levels over time. Diabetologia. 2007;50(11):2239-44.

Martina Tomic, Tamara Poljicanin, Ivana Pavlic-Renar, Zeliko Metelko. Obesity - A Risk Factor for Microvascular Complications and Neuropathic Complications in Diabetes? Diabetologia Croatia. 2003;32(2):73-8.

Kaplan NM. The deadly quartet: upper-body obesity, glucose intolerance, hypertriglyceridemia and hypertension. Arch Intern Med. 1989;149(7):1514-20.

Stern MP. Diabetes and cardiovascular disease. The common soil hypothesis. Diabetes. 1995;44(4):369-74.

Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath Jr CW. Body Mass index and mortality in a prospective cohort of US adults. N Eng J Med. 1999;341(15):1097-105.




How to Cite

Tiwari, A., & Pandey, S. (2019). Detection of microvascular complications of diabetes by EZSCAN method and their correlation with metabolic indices. International Journal of Research in Medical Sciences, 7(11), 4213–4217.



Original Research Articles