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Routine Haematological Parameters Associated with HbA1c and Estimated Whole-Blood Viscosity in Diabetes Management:
Jovita I Mbah1, Phillip T Bwititi2, Prajwal Gyawali1
1School of Health, Medical Sciences & Centre for Health Research, University of Southern Queensland, Toowoomba, QLD 4350, Australia.
This study reveals that specific full blood count (FBC) parameters, like red cell distribution width (RDW) and mean corpuscular volume (MCV), can help predict glycated haemoglobin (HbA1c) levels and blood viscosity in diabetes management.
Area of Science:
- Hematology
- Diabetology
- Clinical Chemistry
Background:
- Routine full blood count (FBC) testing is integral to diabetes management.
- Limited data exists on how individual FBC parameters contribute to models predicting glycated haemoglobin (HbA1c) and estimated whole-blood viscosity (eWBV).
- This study explores comparative and predictive relationships between FBC parameters and diabetes markers.
Purpose of the Study:
- To compare FBC parameters between diabetic groups with high and low HbA1c and eWBV.
- To identify FBC variables that contribute to AIC-based regression models for HbA1c and eWBV.
- To explore the predictive potential of FBC parameters in diabetes.
Main Methods:
- Cross-sectional and regression analyses of 15 FBC parameters.
- Creation of dichotomous subgroups based on HbA1c and eWBV levels for univariate comparison.
- Exploratory Akaike Information Criterion (AIC)-based model identification of contributing variables.
Main Results:
- Red cell distribution width (RDW), mean corpuscular volume (MCV), red cell distribution width-to-platelet count ratio (RPR), mean corpuscular haemoglobin (MCH), and red blood cell count (RBC) significantly contributed to the HbA1c model.
- Haematocrit (HCT), haemoglobin (HB), RBC, white blood cell count (WBC), and mean lymphocyte ratio (MLR) showed significant associations with eWBV.
- RDW, MCV, and RPR differed significantly between HbA1c groups.
Conclusions:
- Selected FBC parameters demonstrate potential for developing future predictive models in diabetes.
- These FBC variables can serve as adjuncts in diabetes monitoring.
- The findings support the utility of FBC in understanding glycaemia control and blood viscosity complications.
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