Department of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, P. O. Box KB 143, Accra, Ghana.
Department of Maternal and Child Health, School of Nursing, University of Ghana, Legon, Ghana.
BMC Res Notes. 2023 Oct 5;16(1):256. doi: 10.1186/s13104-023-06520-x.
Diabetes remains a major health problem, and Glycated hemoglobin (HBA1c) and fasting blood glucose (FBG) levels play important roles in its management. Also, chronic hyperglycemia coupled with high HBA1c levels impact inflammation and may alter haematological parameters in diabetes. Hence, the need to assess and correlate HBA1c and FBG levels with selected haematological parameters in patients with type-2 diabetes mellitus as the main objective of this study. The study was cross-sectional involving 384 participants. Five milliliters of blood was collected from each participant and analyzed for HBA1c, FBG levels and full blood count which were correlated statistically.
From the data obtained and analyzed, there were statistically significant correlations between HBA1c and neutrophil count (p < 0.013), plateletcrit (p < 0.036), mean platelet volume (p < 0.019) and platelet distribution width (p < 0.002). There were also significant differences in FBG (p < 0.014), neutrophil count (p < 0.029), red cell distribution width (p < 0.046), mean platelet volume (p < 0.032) and platelet distribution width (p < 0.013) between diabetes patients with HBA1c less than 7.0% and HBA1c more than or equal to 7.0%. The outcome of the study indicates significant correlation of HBA1c with selected haematological parameters. This could make routine haematological parameters a cost-effective means of predicting poor glucose control in diabetes mellitus patients.
糖尿病仍然是一个主要的健康问题，糖化血红蛋白（HbA1c）和空腹血糖（FBG）水平在其管理中起着重要作用。此外，慢性高血糖加上高 HbA1c 水平会影响炎症，并可能改变糖尿病患者的血液学参数。因此，需要评估和关联 2 型糖尿病患者的 HbA1c 和 FBG 水平与选定的血液学参数，这是本研究的主要目的。该研究是一项横断面研究，涉及 384 名参与者。从每个参与者采集 5 毫升血液，进行 HbA1c、FBG 水平和全血细胞计数分析，并进行统计学相关性分析。
从获得和分析的数据中，HbA1c 与中性粒细胞计数（p<0.013）、血小板比容（p<0.036）、平均血小板体积（p<0.019）和血小板分布宽度（p<0.002）之间存在统计学显著相关性。FBG（p<0.014）、中性粒细胞计数（p<0.029）、红细胞分布宽度（p<0.046）、平均血小板体积（p<0.032）和血小板分布宽度（p<0.013）在 HbA1c 低于 7.0%和 HbA1c 大于或等于 7.0%的糖尿病患者之间也存在显著差异。研究结果表明 HbA1c 与选定的血液学参数有显著相关性。这使得常规血液学参数成为预测糖尿病患者血糖控制不佳的一种具有成本效益的手段。
