VA New Jersey Health Care Service, Pathology and Laboratory Medicine Service, East Orange, NJ, USA.
Vanderbilt University School of Medicine, Department of Pathology, Microbiology, Immunology, Nashville, TN.
J Diabetes Sci Technol. 2020 May;14(3):546-552. doi: 10.1177/1932296819898277. Epub 2020 Jan 25.
When used in hospital settings, glucose meter performance issues involve analytic comparability to lab-based testing, patient and sample variables, and clinical affects such as insulin treatment protocol outcomes and morbidity or outcome risk factors. Different tools are available to assess these issues, including accuracy and precision statistics along with clinical risk measures such as error grids or simulation testing. Regulatory, guidance, and professional bodies have advocated a number of varying recommendations for glucose meter performance in different situations and under different patient conditions. These are summarized and compared, but reconciling these guidelines can be confusing or difficult for providers. Blood glucose meters are useful in the management of patients in acute or assisted care facilities, but users must appreciate the variables that affect measurements and provide for oversight that can manage risk factors and maintain meter performance expectations.
在医院环境中使用时，血糖仪的性能问题涉及与基于实验室的检测的分析可比性、患者和样本变量，以及临床影响，如胰岛素治疗方案的结果以及发病率或结果的风险因素。有不同的工具可用于评估这些问题，包括准确性和精密度统计以及临床风险措施，如误差网格或模拟测试。监管、指导和专业机构已经为不同情况下和不同患者条件下的血糖仪性能提出了许多不同的建议。这些建议被总结并进行了比较，但对于提供者来说，协调这些指南可能会感到困惑或困难。血糖仪在急性或辅助护理设施中管理患者时非常有用，但用户必须了解影响测量的变量，并提供可以管理风险因素和保持血糖仪性能预期的监督。
