Random glucose is useful for individual prediction of type 2 diabetes: Results of the Study of Health in Pomerania (SHIP)
Random glucose is useful for individual prediction of type 2 diabetes: Results of the Study of Health in Pomerania (SHIP)
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DOI：
10.1016/j.pcd.2012.12.001
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发表时间：
2013-04-01
影响因子：
2.9
通讯作者：
Voelzke, Henry
中科院分区：
文献类型：
--
作者：
Kawall, Bernd;Rathmann, Wolfgang;Voelzke, Henry
目的：随机葡萄糖广泛应用于临床。方法：波美拉尼亚健康研究(SHIP)是一项基于德国东北部人群的队列研究，在1997-2001年间纳入了3107名年龄在31-81岁的非糖尿病非糖尿病患者。2475人参加了5年的随访，并给出了糖尿病事件的自我报告。结果：基本模型(包括年龄、性别、父母糖尿病、高血压和腰围)和综合模型(另外包括各种生活方式变量和血液参数，但不包括HbA1c)在加入随机葡萄糖后，在统计学上表现更好(例如，在总样本中加入随机葡萄糖后，受试者-操作曲线下的面积(AROC)从0.824增加到0.856)。同样，在包含HbA1c的预测模型中加入随机葡萄糖可以显著提高预测能力(例如，在综合模型+HbA1c中添加随机葡萄糖后，受试者的AROC从0.824增加到0.849)。结论：随机葡萄糖对个体糖尿病的预测是有用的，并改进了包括HbA1c在内的预测模型。(C)2012年欧洲糖尿病初级保健。爱思唯尔有限公司出版。保留所有权利。
Aim: Random glucose is widely used in routine clinical practice. We investigated whether this non-standardized glycemic measure is useful for individual diabetes prediction.Methods: The Study of Health in Pomerania (SHIP), a population-based cohort study in northeast Germany, included 3107 diabetes-free persons aged 31-81 years at baseline in 1997-2001. 2475 persons participated at 5-year follow-up and gave self-reports of incident diabetes. For the total sample and for subjects aged >= 50 years, statistical properties of prediction models with and without random glucose were compared.Results: A basic model (including age, sex, diabetes of parents, hypertension and waist circumference) and a comprehensive model (additionally including various lifestyle variables and blood parameters, but not HbA1c) performed statistically significantly better after adding random glucose (e.g., the area under the receiver-operating curve (AROC) increased from 0.824 to 0.856 after adding random glucose to the comprehensive model in the total sample). Likewise, adding random glucose to prediction models which included HbA1c led to significant improvements of predictive ability (e.g., for subjects >= 50 years, AROC increased from 0.824 to 0.849 after adding random glucose to the comprehensive model + HbA1c).Conclusions: Random glucose is useful for individual diabetes prediction, and improves prediction models including HbA1c. (C) 2012 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.