1 Jaeb Center for Health Research , Tampa, Florida.
2 International Diabetes Center Park Nicollett , Minneapolis, Minnesota.
Diabetes Technol Ther. 2018 Apr;20(4):314-316. doi: 10.1089/dia.2017.0455. Epub 2018 Mar 22.
To determine the minimum sample of continuous glucose monitoring (CGM) data needed to accurately reflect 3 months of glycemic control.
Three months of CGM data were collected on 257 individuals (age 10-78 years) with type 1 diabetes in two studies (one using the Abbott FreeStyle Libre Pro™ and the other using the Dexcom™ G4). Correlations were calculated between the full 3 months and incremental sampling periods of CGM data.
Correlation to the full 3 months of data improved with an increasing number of days of data collection, plateauing by about 14 days, with an R value of 0.84-0.86 for mean glucose, time at 70-180 mg/dL, and time >180 mg/dL, with lower values for time <70 mg/dL (0.76) and coefficient of variation (0.70).
Fourteen days of CGM data provide a good estimation of glucose metrics for a 3-month period.
确定连续血糖监测 (CGM) 数据的最小样本量，以准确反映 3 个月的血糖控制情况。
在两项研究中，共采集了 257 名 10-78 岁 1 型糖尿病患者的连续 3 个月 CGM 数据（一项研究使用 Abbott FreeStyle Libre ProTM，另一项研究使用 Dexcom G4TM）。计算了 CGM 数据的完整 3 个月和增量采样时间段之间的相关性。
与完整 3 个月数据的相关性随着数据采集天数的增加而提高，大约 14 天后趋于平稳，平均血糖、70-180mg/dL 时间和 >180mg/dL 时间的 R 值为 0.84-0.86，而 <70mg/dL 时间（0.76）和变异系数（0.70）的 R 值较低。
14 天的 CGM 数据可较好地估计 3 个月的血糖指标。
Zotero 插件