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2型糖尿病患者频繁静脉取血法动态血糖监测的准确性评估
引用本文:周健,包玉倩,马晓静,陆蔚,郝亚平,周密,莫一菲,胡承,项坤三,贾伟平. 2型糖尿病患者频繁静脉取血法动态血糖监测的准确性评估[J]. 中华糖尿病杂志, 2012, 0(9): 523-528
作者姓名:周健  包玉倩  马晓静  陆蔚  郝亚平  周密  莫一菲  胡承  项坤三  贾伟平
作者单位:上海交通大学附属第六人民医院内分泌代谢科,上海市糖尿病临床医学中心,上海市糖尿病重点实验室,上海市糖尿病研究所,200233
基金项目:国家自然科学青年基金(81100590);上海市市级医院新兴前沿技术联合攻关项目(SHDC12010115);上海市卫生局青年科研项目(2009Y038)
摘    要:目的应用频繁静脉取血法在2型糖尿病患者中对回顾性动态血糖监测系统(CGMS)的点准确度及趋势准确度进行评价。方法2010年8月至10月共纳入11例2型糖尿病患者,应用美敦力公司GOLD^TM(GMS)连续监测3d血糖,同时每天输入4次指尖血糖值进行校正。受试者在CGMS监测的3d内随机选择1d参加连续7h的频繁静脉取血(15min取1次),并用美国YSI STAT Plus^TM葡萄糖乳酸分析仪(YSI值)进行血浆葡萄糖值的测定。应用多种统计方法和统计量来综合进行准确性评估,包括CGMS值和匹配的YSI值相比在20%和30%偏差范围内的一致率、误差栅格分析、绝对差值的相对数(ARD)、Bland—Ahman分析以及趋势分析等。两变量相关分析采用Pearson相关分析。结果11例患者共收集到319对YSI—CGMS配对数据值;与YSI值相比,88.4%(95%CI:0.84—0.92)的CGMS值在20%偏差范围内,96.9%的CGMS值在30%偏差范围内。Clarke误差栅格分析显示YSI—CGMS配对数据值进入A区和B区的比例分别为88%、12%,共识误差栅格分析显示进入A区和B区的比例分别为96.2%、3.8%。连续误差栅格分析显示YSI—CGMS配对数据值在准确数据区、良性错误区及错误数据区分别为94.4%、2.8%及2.8%。ARD的均值为10.5%,中位数为8.4%,Bland—Altman分析均值为0.47mmol/L(95%CI:-1.90-3.01)。趋势分析显示82.5%的两者变化率差异集中在0.06mmol·L^-1·min^-1的变化范围内,只有1.7%的数据对绝对差异超过0.17mmd·L^-1·min^-1。结论无论对点时血糖还是对血糖变化趋势的反映,CGMS均有较好的准确性;但对低血糖事件进行评判时,尚需结合临床实际情况具体分析。

关 键 词:糖尿病  2型  动态血糖监测  误差栅格分析  准确度

Accuracy assessment of continuous glucose monitoring by frequent venous blood collection in patients with type 2 diabetes mellitus
ZHOU Jian,BAO Yu-qian,MA Xiao-jing,LU Wei,HAO Ya-ping,ZHOU Mi,MO Yi-fei,HU Cheng,XIANG Kun-san,JIA Wei-ping. Accuracy assessment of continuous glucose monitoring by frequent venous blood collection in patients with type 2 diabetes mellitus[J]. CHINESE JOURNAL OF DIABETES MELLITUS, 2012, 0(9): 523-528
Authors:ZHOU Jian  BAO Yu-qian  MA Xiao-jing  LU Wei  HAO Ya-ping  ZHOU Mi  MO Yi-fei  HU Cheng  XIANG Kun-san  JIA Wei-ping
Affiliation:. (Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai 200233, China)
Abstract:Objective To assess the accuracy of continuous glucose monitoring system (CGMS) in type 2 diabetic patients by frequent venous blood collection. Methods A total of 11 patients with type 2 diabetes treated from August to October 2010 were enrolled in this study. The Medtronic GOLD^TM CGMS was used to monitor the continuous changes of the blood glucose levels for 3 successive days in all subjects, meanwhile the fingertip blood glucose was tested at least 4 times each day for calibration. The venous blood of the subjects was randomly collected every 15 min per hour for 7 successive hours on one day when the subjects wore the sensor, and was tested using the YSI 2300 STAT Plus^TM glucose&lactate analyzer. The accuracy was comprehensively evaluated by using statistical methods including the rate of agreement between the sensor readings and the paired YSI values within ± 20% and ± 30% of deviations, the error grid analysis, absolute relative difference (ARD), Bland-Altman analysis and trend analysis. Correlation analysis of two variables was done with Pearson correlation analysis. Results A total of 319 paired YSI-sensor values were collected from the 11 patients. Total 88.4% of the sensor readings (95% CI: O. 84 - 0. 92) were within ± 20% of the YSI values, and 96. 9% within ± 30% of the YSI values. Clarke error grid analyses showed that the ratios of the YSI-sensor values in region A to region B were 88% and 12% ; Consensus error grid analyses showed that the ratios of the YSI-sensor values in region A to region B were 96. 2% and 3.8% ; Continuous error grid analyses showed that the ratios of the YSI-sensor values in region of accurate reading, benign errors, erroneous reading were 94. 4%, 2. 8%, 2. 8%, respectively. The mean ARD for all subjects was 10. 5% and the median ARD was 8.4%. The Bland-Airman analysis detected the mean blood glucose level of 0.47 mmol/L (95% CI: - 1.90-3.01 mmol/L). Trend analysis revealed that 82. 5% of the difference of the rates of change between the YSI values and sensor readings occurred within the range of 0.06 mmol · L^-l · min^-1, and only 1.7% of the absolute differences of the paired values were more than 0. 17 mmol · L^-1 · min^-1 Conclusions The CGMS has high accuracy both in monitoring the blood glucose at a specific time and reflecting the trend of changes of the blood glucose level. However, actual clinical manifestations should be taken into account for diaznosis of hvoozlvcemia.
Keywords:Diabetes mellitus, type 2  Continuous glucose monitoring  Error grid analysis  Accuracy
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