Asmamaw Misganaw, Sime Tariku, Kene Kumsa, Fekadie Baye Minale, Teshome Muluken, Zawdie Belay
Division of Biochemistry, Department of Biomedical Sciences, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Division of Biochemistry, Department of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Diabetes Metab Syndr Obes. 2021 Dec 30;14:4993-5000. doi: 10.2147/DMSO.S348907. eCollection 2021.
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.
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 -test and Pearson's correlation coefficient were used to address the research questions. A P-value <0.05 was considered statistically significant.
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 (=-0.280, p=0.002) with HbA1c while mean corpuscular volume (=0.267, p=0.003), mean corpuscular hemoglobin (=0.231, p=0.010), and red cell distribution width (= 0.496, p=0.000) were positively correlated with level of HbA1c.
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.
本研究的主要目的是评估红细胞参数作为2型糖尿病（T2 DM）患者长期血糖监测的生物标志物。
2020年7月27日至8月31日，在吉马医疗中心（JMC）慢性病随访诊所，采用连续抽样技术对124例T2 DM患者进行了基于机构的横断面研究。使用结构化问卷收集社会人口学和临床相关数据。从每位符合条件的T2 DM患者采集5毫升血液样本。糖化血红蛋白（HbA1c）和红细胞参数分别通过Cobas 6000和DxH 800全自动分析仪测定。数据录入EpiData软件3.1版，并导出到SPSS 25版进行分析。采用独立样本t检验和Pearson相关系数来解决研究问题。P值<0.05被认为具有统计学意义。
研究参与者的平均年龄为51.84±11.6岁。此外，60.5%的T2 DM患者血糖控制不佳。血糖控制良好和不佳的T2 DM患者在红细胞计数（4.79±0.5对4.38±0.8）、血红蛋白（14.13±1.4对13.60±1.6）、平均红细胞体积（89.52±4.7对92.62±7.5）、平均红细胞血红蛋白含量（29.63±1.6对30.77±2.9）和红细胞分布宽度（13.68±1.1对14.63±1.2）方面存在显著的平均差异。红细胞计数与HbA1c呈负相关（r=-0.280，p=0.002），而平均红细胞体积（r=0.267，p=0.003）、平均红细胞血红蛋白含量（r=0.231，p=0.010）和红细胞分布宽度（r = 0.496，p=0.000）与HbA1c水平呈正相关。
红细胞计数、平均红细胞体积、平均红细胞血红蛋白含量和红细胞分布宽度可能是监测T2 DM患者血糖状态的有用指标，可替代HbA1c，不过仍应考虑开展大型前瞻性研究。
