| 摘要: |
| ［摘要］ 目的 探讨青岛市人群中糖化血红蛋白（glycosylated hemoglobin,HbA1c）水平与微量白蛋白尿(microalbuminuria MAU)之间的关系，并确定其最佳切点。方法 选取青岛市3 506人年龄在20～70岁、无明确糖尿病病史的研究对象，应用高压液相色谱分析法（HPLC）测定血HbA1c，采用放射免疫分析法(RIA)测定尿微量白蛋白排泄率(UAER)，运用受试者工作特征曲线(ROC)确定血HbA1c预测MAU发生的最佳切点。结果 （1）不同血HbA1c水平患者的UAER水平之间存在显著差异(P<0.01)，且随着血HbA1c水平的增高,其UAER水平亦随之升高(P<0.01)；（2）HbA1c水平与UAER水平之间呈明显的正相关，差异有统计学意义(P<0.01)；（3）由ROC曲线得到HbA1c预测微量白蛋白尿发生的切点为6.3%，敏感性和特异性分别为85.7%和75.3%。结论 （1）HbA1c水平与微量白蛋白尿密切相关,可作为预测、评估微量白蛋白尿患病风险的指标；（2）HbA1c≥6.3%作为预测微量白蛋白尿发生的最佳切点。 |
| 关键词: 微量白蛋白尿 ROC曲线 糖化血红蛋白 尿微量白蛋白排泄率 |
| DOI：10.3969/j.issn.1674-3806.2010.12.09 |
| 分类号:R 587.1 |
| 基金项目: |
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| Relationship between glycosylated hemoglonin level and Microalbuminuria |
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RAO Xiao-pang,WANG Lin,LU Jun-li
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Department of Endocrine Branch,Chengyang of Qingdao City People′s Hospital,Shandong 266109,China
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| Abstract: |
| ［Abstract］ Objective To study the relationship between glycosylated hemoglobin and microalbuminuria.The optimal sensitiveity and specificity of various cut-off values of glucosylated hemoglobin for predicting microalbuminuria were examined by receiver operating characteristic (ROC) curve analysis.Methods Data came from the Qingdao area population-based cross-sectional study, and 3 506 Chinese adults aged 20～70 year and no known diabetes history were enrolled in this study, glycosylated hemoglobin (HbA1c) was measured by HPLC analysis,and UAER was measured by RIA.One ROC curve for the best blood glycosylated hemoglobin cut-offs values for predicting microalbuminuria was made by ROC analysis method.Results (1)Differences among the urinary quantities of UAER in the five groups of people (divided according to the HbA1c levels )were also significant (P<0.01), with increase of blood glycosylated henoglobin levels, the quantities of UAER significantly increased (P<0.01); (2) There were positive correlations between blood glycosylated hemoglobin levels and the quantities of UAER;(3) The best blood glycosylated hemoglobin cut-offs values for predictting microalbuminuria was 6.3% (sensitivity and specificity are 85.7% and 75.3% respectively).Conclusion (1) The blood HbA1c levels is closely related to microalbuminuria, and it may predict and evaluate the risk of microalbuminuria.(2) HbA1c≥6.3% is the best HbA1c cut-point for predicting microalbuminuria. |
| Key words: Microalbuminuria Receiver operating characteristic ( ROC) curve Glucosylated hemoglobin Urinary micro albumen excretion rate(UAER) |
