Complete blood count and cardiovascular risk markers in type 2 diabetes mellitus – findings from a cross-sectional study in south India

Ramya Samidurai; Sureka varaLakshmi Venkatesan; Chandan Bala Kataria; Ganesh Mano; Manikandan Sundaramalingham; Umamaheswari karmegam

Ramya Samidurai Assistant Professor, Department of Physiology, VELS Medical College and Hospital, Vels Institute of Science, Tecnhnology and Advanced Studies (VISTAS), Thiruvallur, India
Sureka varaLakshmi Venkatesan Professor, Department of Physiology, ACS Medical College and Hospital, Dr MGR Educational University and Research Institute, Maduravoyal, Chennai, India
Chandan Bala Kataria Tutor, Faculty of Allied Health Sciences, Dr MGR Educational University and Research Institute, Maduravoyal, Chennai, India
Ganesh Mano Professor and Head Department of Physiology, ACS Medical college and Hospital, Dr MGR Educational University and Research Institute, Maduravoyal, Chennai, India
Manikandan Sundaramalingham Professor, Department of Physiology, Tagore Medical College and Hospital, Chennai, India
Umamaheswari karmegam Assistant Professor, Department of Physiology, Karpaga Vinayaga Institute of Medical Sciences, Chengalpet, India

Abstract

Background and Aim: Poorly controlled diabetes leads to various micro and macro vascular complications. Hematological indices can be an independent predictor of cardio vascular diseases risk ratios and associated with a high white blood cell count are comparable to other inflammatory markers. The main aim of the current work was to evaluate the correlation between cardiovascular risk markers with the complete blood count among type2 diabetes mellitus (T2DM). Material and Methods: Study population included 105 subjects with T2DM. Age group of the study participants was 40–60 years. Complete blood count and markers such as HsCRP, lipid profile, and Hepatic Enzymes were estimated. Data analysis was performed with SPSS 17. Differences among groups were calculated using t test and/or Mann-Whitney Test for parametric and nonparametric variables, respectively. Chi square test was used. The correlation analysis was performed by Pearson correlation/Kendall’s tau method for parametric and nonparametric variables respectively. Results and Conclusion: On analysis, hematological parameter shows significance with various cardio vascular risk markers and can be used as biomarker to assess the severity of cardio vascular diseases.