Relationship between Type 2 Diabetes Mellitus and Red Cell Distribution Width

Revan Nasr Salh  Abdulla; Salam Naser  Zangana

doi:10.56056/amj.2024.309

Authors

Revan Nasr Salh Abdulla MBChB; Internal Medicine Trainer at KBMS, Rizgary Teaching Hospital-Erbil city- Kurdistan region of republic of Iraq
Salam Naser Zangana MBChB, DM, CABMS, FICMS, FRCP (Glasgow), FRCP (Edin), PhD (Cardio); Consultant Physician and Ass. Prof. of Internal Medicine at Hawler Medical University

DOI:

https://doi.org/10.56056/amj.2024.309

Keywords:

HbA1c, RDW-CV, Type 2 diabetes mellitus

Abstract

Background and objectives: Type 2 diabetes mellitus is a prevalent health problem in the Kurdistan region/Iraq. Numerous biochemical parameters are important for screening and monitoring of diabetes mellitus, Red Cell Distribution Width is one of them.

Methods: A cross-sectional study was conducted in Erbil Teaching Hospital, Rizgary Teaching Hospital, and Layla Qassim primary health care center in Erbil city-Kurdistan region/Iraq from 1^st of August, 2022 to 31^st of July, 2023 on one hundred and twenty type 2 diabetic patients. Many biochemical and hematological parameters were evaluated and compared with Red Cell Distribution Width in this study.

Results: The mean Red Cell Distribution Width of diabetic patients was (16.64%); 61.7% of them had a high Red Cell Distribution Width. A weak positive correlation was observed between Red Cell Distribution Width -CV and each female gender, Body Mass Index, White Blood Cell count, and triglyceride (p?0.05). A potent positive and significant correlation was noticed between Red Cell Distribution Width -CV and fasting blood sugar (r=0.76, p<0.001) as well as HbA1c level (r=0.92, p<0.001). A moderate positive significant correlation was observed between Red Cell Distribution Width -CV and cholesterol, low-density lipoprotein cholesterol as well as serum creatinine levels (p?0.05). A weak negative correlation between Red Cell Distribution Width -CV and HDL (p<0.001).

Conclusion: The red blood cell distribution width might be a helpful marker in monitoring and assessing the severity of type 2 diabetes mellitus and could also help in predicting cardiovascular and renal complications.

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