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Title

A mathematical model for thrombotic risk assessment in type 2 diabetes

 

Authors

Sahana Kashyap1, AN Indumathi*, KN Shashidhar 2 & R Harish

 

Affiliation

Department of Biochemistry, Sri Devaraj Urs Medical College,  Constituent college of Sri Devaraj Urs Academy of Higher Education and Research, Tamaka, Kolar, Karnataka, India; *Corresponding author

 

Affiliation URL:

www.sduaher.ac.in

 

E-mail

Sahana Kashyap - E-mail: kashyap.sahana07@gmail.com;

Phone: +91-9148764765

AN Indumathi - E-mail: vinindu4@sduaher.ac.in;

Phone: +91- 7022797246

KN Shashidhar - E-mail: drshashikn1971@sduaher.ac.in;

Phone: +91- 9845248742

R Harish - E-mail: harishreddy1349@sduaher.ac.in;

Phone: +91- 9845355050

 

Article Type

Research Article

 

Date

Received September 1, 2023; Revised September 30, 2023; Accepted September 30, 2023, Published September 30, 2023

 

Abstract

Hyperglycaemia is known to alter the circulating lipids in diabetics. Combinatorial effect of in vivo synthesis of lipids and dietary lipids leads to atherosclerosis. Uncontrolled diabetes is linked with the cardiovascular outcome. This data has correlated the Castelli’s Risk Index (CRI-I and CRI-II), Atherogenic Index of Plasma and Atherogenic Coefficient with microvascular complications of T2DM. Etio-pathogenesis of cardiovascular risk factors and lipid biomarkers speaks of the thrombotic events of cerebrovascular accidents and also the reno-vascular mechanisms of renal arterial thrombotic events. Documentary evidence have proved that the micro albuminuria is a “cutting edge” to assess the microvascular complications of renal and retina. Uncontrolled diabetes is known to alter the triglycerides, lower HDL-cholesterol and elevate LDL-cholesterol. Alteration of lipid profile mimics a major link between diabetes and the increased cardiovascular risk in diabetic patients.

 

Keywords

Diabetes mellitus, Castelli’s risk indices, dyslipidemia

 

Citation

Kashyap et al. Bioinformation 19(9): 971-975 (2023)

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.