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International Physiology

Volume  7, Issue 3, September-December 2019, Pages 108-111
 

Original Article

Hematocrit and its Correlation with Fasting Blood Sugar of Type II Diabetes Mellitus Patients: A Cross-Sectional Study

Madhusudhan U1, Jabir PK2

1Associate Professor, 2Assistant Professor, Department of Physiology, DM Wayanad Institute of Medical Sciences, Naseeranagar, Wayanad, Kerala 673577, India.

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DOI: DOI: https://dx.doi.org/10.21088/ip.2347.1506.7319.3

Abstract

Introduction: Diabetes mellitus (DM) is a non-communicable disease with increasing prevalence worldwide. In DM, hematological indices such as WBC count, Hematocrit, platelet count, erythro-cyte aggregation, and erythrocyte deformability, are disturbed, which can lead to the development of inflammation and a tendency for coagulation and microvascular complications. So the current study was aimed at correlating RBC count, PCV and RDW with Fasting blood sugar of Type 2 Di-abetes patients. Methodology: A total of 96 participants (47 cases and 47 healthy controls) were selected using a systematic random sampling technique. Data is retrieved from the Medical Records Department. Parameters are lab investigation values that are already done on patients who came to DM WIMS. FBS was estimated using (Cobas Integra 400 plus) automated clinical chemistry analyzer and hema-tological parameters using a fully automated (Sysmex XT-1800i) analyzer. Statistical analysis: The statistical analysis was done using SPSS 15.0 version. After checking for normality Pearson’s or Spearman correlation analysis is carried out to study the correlation. Results: PCV and RBC count was significantly higher in diabetics when compared to controls. Even though there was a negative correlation between PCV, RBC count and RDW with FBS (fasting blood sugar) in diabetics it was not statistically significant. Conclusion: The routine hematological profile checking of patients with T2DM may help to prevent complications associated with aberrations in hematological values.

Keywords: Fasting blood glucose; Red cell distribution width; PCV; type 2 diabetes mellitus.


Corresponding Author : Jabir PK