Beck Roy W, Kollman Craig, Xing Dongyuan, Buckingham Bruce A, Chase H Peter
Jaeb Center for Health Research, Tampa, Florida 33647, USA.
J Diabetes Sci Technol. 2011 Jul 1;5(4):999-1004. doi: 10.1177/193229681100500423.
Systems are being developed that utilize algorithms to predict impending hypoglycemia using commercially available continuous glucose monitoring (CGM) devices and to discontinue insulin delivery if hypoglycemia is predicted. In outpatient studies designed to test such systems, CGM-measured glycemic indices will not only be important outcome measures of efficacy but, in certain cases, will be the only good outcome. This is especially true in short-term studies designed to reduce hypoglycemia since the event rate for severe hypoglycemic events is too low for it to be a good outcome, and milder hypoglycemia often will be variably detected. Continuous glucose monitoring inaccuracy can be accounted for in the study design by increasing sample size and/or study duration.
正在开发利用算法的系统,这些算法可使用市售的连续血糖监测(CGM)设备预测即将发生的低血糖,并在预测到低血糖时停止胰岛素输注。在旨在测试此类系统的门诊研究中,CGM测量的血糖指数不仅将是疗效的重要结局指标,而且在某些情况下,将是唯一良好的结局指标。在旨在降低低血糖的短期研究中尤其如此,因为严重低血糖事件的发生率过低,无法作为良好的结局指标,而较轻的低血糖往往检测结果不一。在研究设计中,可以通过增加样本量和/或研究持续时间来考虑连续血糖监测的不准确性。