Department of Laboratory Medicine, Institute of Medical Biochemistry and Laboratory Medicine, Merkur University Hospital, 10000 Zagreb, Croatia.
Vuk Vrhovac University Clinic, Merkur University Hospital, 10000 Zagreb, Croatia.
Int J Endocrinol. 2013;2013:206309. doi: 10.1155/2013/206309. Epub 2013 Dec 8.
Point-of-care (POC) glucose technology is currently considered to be insufficiently accurate for the diagnosis of diabetes. The objective of this study was to investigate the diagnostic accuracy of an innovative, interference-resistant POC glucose meter (StatStrip glucose hospital meter, Nova Biomedical, USA) in subjects with a previous history of dysglycaemia, undergoing a 75 g diagnostic oral glucose tolerance test (oGTT). Venous and capillary blood sampling for the reference laboratory procedure (RLP) and POC-glucose measurement was carried out at fasting and 2 h oGTT, and categories of glucose tolerance were classified according to 2006 WHO diagnostic criteria for the respective sample type. We found an excellent between-method correlation at fasting (r = 0.9681, P < 0.0001) and 2 h oGTT (r = 0.9768, P < 0.0001) and an almost perfect diagnostic agreement (weighted Kappa = 0.858). Within a total of 237 study subjects, 137 were diagnosed with diabetes with RLP, and only 6 of them were reclassified as having glucose intolerance with POC. The diagnostic performance of POC-fasting glucose in discriminating between the normal and any category of disturbed glucose tolerance did not differ from the RLP (P = 0.081). Results of this study indicate that StatStrip POC glucose meter could serve as a reliable tool for the diabetes diagnosis, particularly in primary healthcare facilities with dispersed blood sampling services.
即时检测(POC)血糖技术目前被认为在诊断糖尿病方面不够准确。本研究旨在调查一种创新的、抗干扰的 POC 血糖仪(StatStrip 葡萄糖医院血糖仪,美国 Nova Biomedical)在有糖代谢异常病史的受试者中的诊断准确性,这些受试者正在接受 75g 口服葡萄糖耐量试验(oGTT)。在空腹和 oGTT 后 2 小时,对静脉和毛细血管血样进行参考实验室程序(RLP)和 POC 血糖测量,并根据 2006 年 WHO 诊断标准对各样本类型的葡萄糖耐量进行分类。我们发现空腹时(r = 0.9681,P < 0.0001)和 oGTT 后 2 小时(r = 0.9768,P < 0.0001)之间存在极好的方法间相关性,并且具有几乎完美的诊断一致性(加权 Kappa = 0.858)。在总共 237 名研究受试者中,有 137 名被 RLP 诊断为糖尿病,只有 6 名被重新归类为 POC 葡萄糖耐量异常。POC 空腹血糖在区分正常和任何糖耐量异常类别方面的诊断性能与 RLP 无差异(P = 0.081)。本研究结果表明,StatStrip POC 血糖仪可作为诊断糖尿病的可靠工具,特别是在具有分散采血服务的初级保健设施中。