Correlation of Hemoglobin A1c with Red Cell Width Distribution and Other Parameters of Red Blood Cells in Type II Diabetes Mellitus

Bhutto, Abdul Rabb; Abbasi, Amanullah; Abro, Ali Hassan

doi:10.7759/cureus.5533

Cited by 25 publications

(35 citation statements)

References 17 publications

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“…In our study, there was a correlation tendency between HbA1c and RDW. This was confirmed by other studies, where HbA1c significantly correlated with RDW [ 26 , 27 ]. The reason for this tendency is not clear because the RDW is a parameter of erythrocyte volume like MCV, which does not correlate with HbA1c.…”

Section: Discussionsupporting

confidence: 89%

Reference Interval of Hemoglobin A1c and Influence of Hematological Parameters on Its Serum Concentration in Dogs

Neumann

2020

Veterinary Medicine International

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HbA1c could be an alternative to fructosamine as a marker for glucose levels over a longer period. In this study, we calculated a reference interval for HbA1c in dogs and investigated the correlation of HbA1c with hemoglobin and different hematological parameters. In total, 110 blood samples from dogs were investigated. Significant negative correlations were found between HbA1c and erythrocyte count, hemoglobin concentration, as well as hematocrit. There was a tendency in the red cell distribution width. No significant correlation was found in the reticulocyte number and the erythrocyte indices. In conclusion, there is an association of different blood parameters with the HbA1c concentration, which have to be considered for the interpretation of HbA1c.

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Section: Discussionsupporting

confidence: 89%

Reference Interval of Hemoglobin A1c and Influence of Hematological Parameters on Its Serum Concentration in Dogs

Neumann

2020

Veterinary Medicine International

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“…We expected significant alterations in RDW and other RBC parameters reported in other studies (47). In our study, statistically significant differences between groups with different levels of disease control were observed only for erythrocyte count and hematocrit value (p=0.013 and 0.019, respectively), excluding expected differences in glucose and HbA1c levels.…”

Section: Spearman Correlation Analysissupporting

confidence: 60%

“…Interestingly, some (49) authors reported a significant positive correlation between MPV and HbA1c (R=306, p<0.005), while others on non-diabetic subjects observed an inverse correlation between HbA1c and MCV (r = -0.22, p<0.05), MCH (r = -0.30, p<0.05), and MCHC (r = -0.32, p<0.05) (51). MCV, MCH, and MCHC showed no significant correlation with HbA1c in numerous studies reported (47,50). On the contrary, Jaman et al (48) reported a statistically significant decrease of HCT in diabetic patients (HbA1c 7.5) when compared with non-diabetic patients (HbA1c 6.5).…”

Section: Spearman Correlation Analysismentioning

confidence: 86%

Assessment of hematologic indices and their correlation to hemoglobin A1c among Bosnian children with type 1 diabetes mellitus and their healthy peers

Tihić-Kapidžić¹,

Čaušević²,

Fočo-Solak³

et al. 2021

J Med Biochemistry

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Background: Altered level of many hematological parameters have been directly associated with diabetes in adults, while studies on children with type 1 diabetes mellitus are lacking. The aim of this study was to determine hematological indices in diabetic Bosnian children in comparison to healthy controls as well as to correlate their levels to blood glucose and hemoglobin A1c. Methods: 100 healthy and 100 children with type 1 diabetes mellituss (age 1-18 years) were included in this study. Complete Blood Count, Hemoglobin A1c and glucose were tested. Results were analysed by IBM SPSS Statistics version 23. Results: Significant differences (p<0.05) between healthy and diabetic children were found in HbA1c, glucose, Mean Platelet Volume, number of white blood cells and erythrocytes, hematocrit, hemoglobin and MCH values. No gender differences or significant age differences were seen for hemoglobin, hematocrit and MCV, while platelets, MPV and MCH differed by age only in healthy children. When diabetic children were classified according to HbA1c levels, significant differences were seen for erythrocyte count and hematocrit value (p=0.013 and 0.019 respectively). Number of erythrocytes and white blood cells correlated significantly with HbA1c (p=0.037 and 0.027 respectively). Conclusion: Lower levels of erythrocytes, hematocrit and hemoglobin in diabetic compared to healthy children indicate possible development of anemia, while higher MCV, MCH and MPV values indicate alteration in erythrocyte morphology. Hematological indices could be useful inexpensive tool in diagnosis and follow up of type 1 diabetes in children.

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“…A significant positive correlation was also found between RDW and HbA1c levels in our study (Table 3). This is consistent with the previous studies conducted in Pakistan [32] and India [33]. However, our finding is contrary to another study conducted in India reported that no significant correlation (r= 0.04, p> 0.05) between RDW and HbA1c levels in T2 DM patients [34].…”

Section: Discussionsupporting

confidence: 88%

Evaluation of Red Blood Cell Parameters as a Biomarker for Long-Term Glycemic Control Monitoring Among Type 2 Diabetic Patients in Southwest Ethiopia: A Cross-Sectional Study

Asmamaw

Sime

Kene

et al. 2021

Preprint

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Background: Type 2 Diabetes Mellitus (T2 DM) is a common type of DM characterized by hyperglycemia. Glycation of hemoglobin and related proteins in DM can affect the physiological and structural properties of red blood cells. Although glycated hemoglobin (HbA1c) test continues to be the gold standard for the assessment of long-term glycemic control accessibility and affordability of the test in routine diagnosing service are still limited in developing countries. Hence, this study was aimed to assess red blood cell parameters as a biomarker for long-term glycemic monitoring among T2 DM patients.Methods: Facility-based cross-sectional study through a consecutive sampling technique was conducted among 124 T2 DM patients at the chronic illness follow-up clinic of Jimma Medical Center (JMC) from July 27 to August 31, 2020. A structured questionnaire was used to collect socio-demographic and clinical-related data. Five milliliters of the blood specimen was collected from each eligible T2 DM patient. HbA1c and red blood cell parameters were determined by Cobas 6000 and DxH 800 fully automated analyzers respectively. Data were entered into Epi-data software version 3.1 and exported to SPSS 25 version for analysis. Independent t-test and Pearson’s correlation coefficient were used to address the research questions. A P-value < 0.05 was considered statistically significant. Results: The mean age of study participants was 51.84± 11.6 years. 60.5% of T2 DM patients were in poor glycemic control. There was a significant mean difference between good and poor glycemic controlled T2 DM patients in red blood cell count (4.79±0.5 vs 4.38±0.8), hemoglobin (14.13±1.4 vs 13.60±1.6), mean corpuscular volume (89.52±4.7 vs 92.62±7.5), mean corpuscular hemoglobin (29.63±1.6 vs 30.77±2.9), and red cell distribution width (13.68±1.1 vs 14.63±1.2) respectively. Red blood cell count was inversely correlated (r=-0.280, p=0.002) with HbA1c while mean corpuscular volume (r=0.267, p=0.003), mean corpuscular hemoglobin (r=0.231, p=0.010), and red cell distribution width (r= 0.496, p=0.000) were positively correlated with level of HbA1c. Conclusion: Red cell count, mean corpuscular volume, mean corpuscular hemoglobin, and red cell distribution width could be useful indicators to monitor the glycemic status of T2 DM patients instead of HbA1c, though large prospective studies should be considered.

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Correlation of Hemoglobin A1c with Red Cell Width Distribution and Other Parameters of Red Blood Cells in Type II Diabetes Mellitus

Cited by 25 publications

References 17 publications

Reference Interval of Hemoglobin A1c and Influence of Hematological Parameters on Its Serum Concentration in Dogs

Reference Interval of Hemoglobin A1c and Influence of Hematological Parameters on Its Serum Concentration in Dogs

Assessment of hematologic indices and their correlation to hemoglobin A1c among Bosnian children with type 1 diabetes mellitus and their healthy peers

Evaluation of Red Blood Cell Parameters as a Biomarker for Long-Term Glycemic Control Monitoring Among Type 2 Diabetic Patients in Southwest Ethiopia: A Cross-Sectional Study

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