Estimation of Hemoglobin A1c Using the Complete Blood Count Measures in the Diagnosis of Diabetes

Vinupritha, P.; M, Hariharan; Kathirvelu, D; Chinnadurai, Sunil

doi:10.22159/ajpcr.2017.v10i9.19407

Cited by 2 publications

(1 citation statement)

References 12 publications

(16 reference statements)

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“… 8 RBC parameters include red blood cell (RBC) count, hematocrit (HCT), hemoglobin (HGB), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red cell distribution width (RDW). 9 …”

Section: Introductionmentioning

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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Section: Introductionmentioning

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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Comparison of Red Blood Cell Parameters as Metabolic Indicator in Stunted and Nonstunted Children

Nisa,

Islami,

Listiyaningsih

et al. 2024

International Journal of Nutrition, Pharmacology, Neurological Diseases

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Introduction: Stunting occurs as a result of chronic malnutrition, which triggers changes in metabolic function, which are usually characterized by impaired blood profiles in stunted children. This study aims to compare the red blood cell (RBC) Parameters in stunted and nonstunted children. Methods: This study used laboratory observational analytic methods with a cross-sectional approach. The study included a total of 74 participants aged 6–10 years. Primary data was collected by collecting sociodemographic data from the subjects, measuring anthropometric variables, and taking blood samples to analyze the erythrocyte index based on the hematological parameters of RBCs, including hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC). Data analysis was performed using the one-way ANOVA test for erythrocytes, HGB, HCT, and Kruskal–Wallis for MCV, MCH, and MCHC at 95% confidence level. Result: The participants consisted of 33 males and 41 females. Based on the World Health Organization classification of anthropometric measurements, it was found that 46 children were normal, 18 were classified as stunting, and the remaining 10 were severe stunting. Conclusion: RBC parameter analysis based on hematological parameters found that in the male group, there were significantly lower RBC counts, HGB, HCT, MCH, and MCHC in stunting and severe stunting children compared to the nonstunted or normal children, whereas in the female group, the significant lower result found in the parameter of RBC counts, HGB, HCT, and MCV.

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Estimation of Hemoglobin A1c Using the Complete Blood Count Measures in the Diagnosis of Diabetes

Cited by 2 publications

References 12 publications

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

Comparison of Red Blood Cell Parameters as Metabolic Indicator in Stunted and Nonstunted Children

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