UOC Clinical Pathology, Hospital San Filippo Neri Laboratory HUB, ASL Roma 1, 00135 Rome, Italy.
Department of Experimental Medicine, Clinical Biochemistry, University of Rome Tor Vergata, 00133 Rome, Italy.
Medicina (Kaunas). 2021 Jul 14;57(7):712. doi: 10.3390/medicina57070712.
Glycated hemoglobin (HbA1c) dosage is considered the gold standard in glycol-metabolic monitoring, but it presents limits, which can underestimate the glycemia trend. In this regard, it was introduced the glycated albumin (GA). The aim of the study is to verify the predictivity of the GA compared to HbA1c in identifying glyco-metabolic alterations in non-diabetic and diabetic hemodialysis (HD) patients. For this purpose, we conducted a multicenter study involving one analysis laboratory and six dialysis centers in the Lazio region (Rome, Italy). Both diabetic and non-diabetic HD patients represent the study population, and the protocol included five time points. The analyzed data highlighted the ability of GA to predict changes in glycemic metabolism in HD patients, and GA values are not significantly influenced, like HbA1c, by dialysis therapy itself and by comorbidities of the uremic state, such as normochromic and normocytic anemia. Thus, GA seems to reflect early glyco-metabolic alterations, both in patients with a previous diagnosis of diabetes and in subjects without diabetes mellitus. As part of this study, we analyzed two HD patients (one diabetic and one non-diabetic) in which GA was more predictive of glycol-metabolic alterations compared to HbA1c. Our study confirms the need to compare classical biomarkers used for the monitoring of glyco-metabolic alterations with new ones, likely more reliable and effective in specific subgroups of patients in which the classic biomarkers can be influenced by the preexisting pathological conditions. : In conclusion, our evidence highlights that in uremic patients, GA shows a better ability to predict glyco-metabolic alterations allowing both an earlier diagnosis of DM and a prompt modulation of the hypoglycemic therapy, thus improving the clinical management of these patients.
糖化血红蛋白(HbA1c)检测被认为是糖代谢监测的金标准,但它存在局限性,可能会低估血糖趋势。在这方面,引入了糖化白蛋白(GA)。本研究旨在验证 GA 在识别非糖尿病和糖尿病血液透析(HD)患者糖代谢改变方面的预测能力与 HbA1c 相比。为此,我们进行了一项多中心研究,涉及一个分析实验室和意大利拉齐奥地区的六个透析中心。糖尿病和非糖尿病 HD 患者均为研究人群,方案包括五个时间点。分析数据突出了 GA 在预测 HD 患者血糖代谢变化方面的能力,并且 GA 值不像 HbA1c 那样受到透析治疗本身和尿毒症状态的合并症(如正细胞正色素性贫血)的显著影响。因此,GA 似乎反映了糖尿病前期和无糖尿病患者的早期糖代谢改变。在这项研究中,我们分析了两名 HD 患者(一名糖尿病和一名非糖尿病),其中 GA 比 HbA1c 更能预测糖代谢改变。我们的研究证实,需要将用于监测糖代谢改变的经典生物标志物与新的生物标志物进行比较,新的生物标志物在经典生物标志物可能受到现有病理状况影响的特定患者亚组中可能更可靠和有效。总之,我们的证据表明,在尿毒症患者中,GA 显示出更好的预测糖代谢改变的能力,既可以更早诊断 DM,又可以及时调整低血糖治疗,从而改善这些患者的临床管理。