Regression analysis for testing association between fasting blood sugar and glycated hemoglobin in diabetic patients.

被引:0
|
作者
Khan, Haseeb A. [1 ]
Sobki, Samia H. [2 ]
Alhomida, Abdullah S. [1 ]
机构
[1] King Saud Univ, Coll Sci, Dept Biochem, Riyadh 11451, Saudi Arabia
[2] Prince Sultan Mil Med City, Dept Pathol, Div Clin Biochem, Riyadh 11159, Saudi Arabia
来源
BIOMEDICAL RESEARCH-INDIA | 2015年 / 26卷 / 03期
关键词
Diabetes; Fasting blood sugar; Glycated hemoglobin; Regression analysis; DIAGNOSIS; HBA(1C); MARKER; LIPIDS; A1C;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The cut-off criterion of serum levels of glycated hemoglobin (HbA1c) >6.5% as an alternative to fasting blood sugar (FBS) >7.0 mmol/L for diagnosis of diabetes mellitus still requires rigorous studies on diverse populations before its safe implementation. We conducted a regression analysis on 75 diabetic patients (40 males and 35 females) for testing the association between FBS and HbA1c and postulation of regression equations for inter-conversion of their levels. The average +/- standard deviation values of FBS and HbA1c were 8.101 +/- 3.917 mmol/l and 7.989 +/- 2.112 %, respectively. Patients with HbA1c >6.5% had significantly higher levels of FBS. We observed a significant correlation between FBS and HbA1c (R= 0.717, P<0.001). The regression equations, HbA1c = 0.387 (FBS) + 4.855 and FBS = 1.33 (HbA1c) -2.528, could be utilized for inter-conversions between the levels of FBS and HbA1c for predicting their expected values in diabetic patients. Further studies are warranted to examine the deviations from the regression equations in diabetic patients from different ethnicity and demography.
引用
收藏
页码:604 / 606
页数:3
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