Jiang Fusong, Hou Xuhong, Lu Jun, Zhou Jian, Lu Fengdi, Kan Kai, Tang Junling, Bao Yuqian, Jia Weiping
1 Medicine School of Soochow University , Suzhou, Jiangsu, China .
Diabetes Technol Ther. 2014 Jun;16(6):363-9. doi: 10.1089/dia.2013.0289. Epub 2014 Apr 25.
This study investigated the performance of the A1CNow(+®) test (Bayer Diabetes Care, Sunnyvale, CA) in a large population of Chinese patients with diabetes.
Hemoglobin A1c (HbA1c) levels in 1,618 Chinese patients with diabetes 10-94 years of age were measured with both the A1CNow(+) test, from a fingerstick blood sample, and the high-performance liquid chromatography (HPLC) test, using a venous blood sample, within 24 h. The reportable ranges of the HbA1c values were 4.0-13.0% (A1CNow(+)) and 4.1-16.8% (HPLC). An error grid analysis (EGA) method was developed to quantify the accuracy of the A1CNow(+) results against the HPLC reference results.
The A1CNow(+) results were highly correlated with the HPLC reference results (r=0.945, P<0.01). Passing-Bablok regression analysis showed a good linear agreement between the two variables, and the linear regression equation fitted as y=-0.10+1.00x (P=0.21). The Bland-Altman difference plot presented that the mean bias of the A1CNow(+) results minus the HPLC reference results was -0.09% (P<0.001); the 95% confidence intervals for the limits of agreement were -1.28% to 1.09%, with 96.5% of the data points lying within this zone. The results of the EGA showed that 80.2% of the A1CNow(+) results were accurate, 17.7% were acceptable, 1.9% may lead to inappropriate treatment, and 0.3% may lead to severe clinical consequence.
The A1CNow(+) test values demonstrated a slight negative bias from the HPLC values. The majority of A1CNow(+) test values were accurate when compared with results from the reference method.
本研究调查了A1CNow(+)检测(拜耳糖尿病护理公司,加利福尼亚州桑尼维尔市)在中国大量糖尿病患者中的表现。
对1618例年龄在10 - 94岁的中国糖尿病患者,在24小时内,分别采用A1CNow(+)检测方法(取手指血样)和高效液相色谱法(HPLC,取静脉血样)测定糖化血红蛋白(HbA1c)水平。HbA1c值的可报告范围为4.0 - 13.0%(A1CNow(+))和4.1 - 16.8%(HPLC)。采用误差网格分析(EGA)方法来量化A1CNow(+)检测结果相对于HPLC参考结果的准确性。
A1CNow(+)检测结果与HPLC参考结果高度相关(r = 0.945,P < 0.01)。Passing - Bablok回归分析显示两个变量之间具有良好的线性一致性,线性回归方程拟合为y = -0.10 + 1.00x(P = 0.21)。Bland - Altman差异图显示,A1CNow(+)检测结果减去HPLC参考结果的平均偏差为 -0.09%(P < 0.001);一致性界限的95%置信区间为 -1.28%至1.09%,96.5%的数据点落在该区域内。EGA结果显示,80.2%的A1CNow(+)检测结果准确,17.7%可接受,1.9%可能导致不适当的治疗,0.3%可能导致严重的临床后果。
A1CNow(+)检测值相对于HPLC值显示出轻微的负偏差。与参考方法的结果相比,大多数A1CNow(+)检测值是准确的。