Saulnier George E, Castro Janna C, Cook Curtiss B
Department of Information Technology, Mayo Clinic, Phoenix, AZ 85054, USA.
Mayo Clinic Hospital, Phoenix, Arizona, & Division of Endocrinology, Mayo Clinic, Scottsdale, Arizona, AZ 85259, USA.
Future Sci OA. 2019 Apr 12;5(5):FSO388. doi: 10.2144/fsoa-2019-0003. eCollection 2019 Jun.
Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control.
MATERIALS & METHODS: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care blood glucose device data were extracted from the laboratory system. Forecasts were generated from various inpatient subgroups and time intervals.
ME produced differences in damped trend model during the forecast learning cycle. However, forecast trajectory stayed identical regardless of ME in 85% (119/140) of studied scenarios. Forecasts did not change with greater ME.
ME inherent in the point-of-care blood glucose device had little effect on trajectory of damped trend exponential forecasts and apparently would not influence decision making in inpatient glycemic control algorithms.
仪器测量误差（ME）可能会影响阻尼趋势分析预测住院患者血糖控制的能力。
开发了一种统计方法，将测量误差引入阻尼趋势分析算法。即时检验血糖仪设备数据从实验室系统中提取。预测来自不同的住院患者亚组和时间间隔。
在预测学习周期内，测量误差在阻尼趋势模型中产生了差异。然而，在85%（119/140）的研究场景中，无论测量误差如何，预测轨迹保持不变。更大的测量误差并不会改变预测结果。
即时检验血糖仪设备中固有的测量误差对阻尼趋势指数预测的轨迹影响很小，显然不会影响住院患者血糖控制算法中的决策。
