Diabetes and red blood cell parameters

MS, Jaman

doi:10.29328/journal.acem.1001004

Cited by 15 publications

(18 citation statements)

References 37 publications

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“…This finding agrees with Sheikhpour et al (2013), who reported a significant relationship between HbA1c and RBC count in T2DM patients (26) . These findings are also in line with the study conducted by Jaman et al ( 2018), who studied different haematological parameters in patients with T2DM (25) . This finding is again in line with a study conducted by Li et al (2015), who concluded a significant direct relationship between HbA1c and RBC count in patients with T2DM.…”

Section: Discussionsupporting

confidence: 92%

“…This finding reveals that blood donation leads to a decrease in RBC count, resulting in increased plasma components in the whole blood, which finally prevents dehydration and decreases blood viscosity, which in turn causes increased blood flow. Decreased blood hemodynamics has been known as one of the risk factors for the development of diabetes (25) .…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of Red Blood Cell Indices in Type 2 Diabetes Mellitus in Sulaymaniyah City, Kurdistan Region, Iraq

Alrawi

2022

JSMC

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Background Type 2 diabetes mellitus (T2DM) accounts for more than 90% of all diagnosed cases of diabetes. Earlier reports described an independent association of haematological indices, such as red blood cells (RBCs), haemoglobin (Hb), hematocrit (Hct), mean corpuscular haemoglobin (MCV), platelet count (Plt), and white blood cell count (WBC) with the risk of occurrence of T2DM. Objectives To evaluate the relationship between T2DM and red cell indices. Patients and Methods The current cross-sectional study recruited 400 patients with T2DM who were referred to the Diabetic Center in Sulaimani city, Northern Iraq, from November 2018 to March 2019 and 200 healthy blood donors who donated from March to April 2019 to the Sulaimani Blood Bank Center. The required data were collected from both groups, and relevant haematological tests and biochemical analyses were performed. Results Anemia was found in 8% of the patients giving higher rates among the females. Normocytic anaemia was observed in (82.8%) of the patients. Half of the patients had a high level of RBC counts, which correlates significantly with high HbA1c (p=0.005). The prevalence of pre-diabetic and diabetes was 15.5% among healthy blood donors. Patients with T2DM and donation experience showed lower HbA1c levels than those without blood donation (p<0.05). Conclusion Normocytic anaemia is the most common type in patients with T2DM. Patients with a high level of RBC count might be worth screening for T2DM. A high frequency of pre-diabetic and diabetic among asymptomatic healthy blood donors was observed.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Evaluation of Red Blood Cell Indices in Type 2 Diabetes Mellitus in Sulaymaniyah City, Kurdistan Region, Iraq

Alrawi

2022

JSMC

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“…However, in contrast to our finding, a study conducted in Bangladesh reported no significant mean difference of RBC count between poor and good glycemic controlled T2 DM patients (p=0.608), and no correlation to HbA1c level. 30 The possible hypothesis for this difference might be due to the relatively small sample size used in the previous study. In the present study, the HGB level was significantly reduced in T2 DM patients with PGC ( Table 2 ).…”

Section: Discussionmentioning

confidence: 90%

“… 34 However, in contrast to the current finding, a study conducted in Bangladesh reported no significant (p=0.2) mean difference of RDW was observed between poor and good glycemic control T2 DM patients, although a positive correlation was detected between RDW and HbA1c level. 30 The discrepancy might be due to differences in the glycemic status of the study population, relatively well-controlled T2 DM patients were enrolled in the previous study.…”

Section: Discussionmentioning

confidence: 99%

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

Mengstie¹,

Sime²,

Kene³

et al. 2021

DMSO

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Objective The main aim of this study was 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 were collected from each eligible T2 DM patient. Glycated hemoglobin (HbA1c) and red blood cell parameters were determined by Cobas 6000 and DxH 800 fully automated analyzers, respectively. Data were entered into EpiData 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. Moreover, 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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“…However, this study did not find a significant association between RDW and HbA1C levels, which is in contrast to studies conducted in Pakistan 17 and Bangladesh. 13 Chronic hyperglycemia associated with DM affects the deformability of RBCs and reduces their life span. A shorter life span of RBCs leads to lower HbA1c levels because the duration of exposure to hyperglycemia is reduced for newly replaced erythrocytes.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Red Blood Cell Indices for Prediction of Glycemic Control in People Living with Type 2 Diabetes

Meshesha,

Melke,

Ajema

et al. 2024

DMSO

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Background Achieving target glycemic control in people living with diabetes lessens most of the diabetes-related complications and hemoglobin A1C is the gold standard test for assessing the long-term glycemic control. However, the expensive cost, and its limited access are problematic for routine use in developing countries, demanding an urgent alternative solution. Hence, this study aimed to assess the potential of red blood cell indices in predicting glycemic control among people living with type 2 diabetes at Dilla University Hospital. Methods A cross-sectional study was conducted among 207 participants with type 2 diabetes. Red blood cell indices were compared between the poor and good glycemic control groups using the t -test. Performance of red cell indices in discriminating poor glycemic control was assessed using receiver operating characteristic analysis. Results The prevalence of poor glycemic control among the participants was 91.8%. Higher mean hemoglobin (p=0.002) and mean corpuscular hemoglobin (p=0.015) was found in the good glycemic control group. An inverse correlation was also observed between hemoglobin A1C and mean corpuscular hemoglobin (r=−0.158; P =0.023). The area under the curve to discriminate poor glycemic control from good was statistically significant for hemoglobin, hematocrit, and mean corpuscular hemoglobin. However, hemoglobin had the highest discrimination ability at a cutoff ≤14.8 g/dL; area under the curve was 0.738 ( P =0.001), sensitivity, specificity, and positive predictive value were 68.95%, 82.35%, and 97.77%, respectively. Conclusion This study revealed that hemoglobin can potentially be used to assess glycemic control among people with type 2 diabetes but the interpretation needs to be cautious.

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Diabetes and red blood cell parameters

Cited by 15 publications

References 37 publications

Evaluation of Red Blood Cell Indices in Type 2 Diabetes Mellitus in Sulaymaniyah City, Kurdistan Region, Iraq

Evaluation of Red Blood Cell Indices in Type 2 Diabetes Mellitus in Sulaymaniyah City, Kurdistan Region, Iraq

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

Evaluation of Red Blood Cell Indices for Prediction of Glycemic Control in People Living with Type 2 Diabetes

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