Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Prim Care Diabetes. 2013 Jul;7(2):95-102. doi: 10.1016/j.pcd.2013.03.002. Epub 2013 Apr 25.
This narrative review examines the concept of diabetes as a cardiovascular disease (CVD) risk equivalent, the rationale and approaches to absolute CVD risk estimation in type 2 diabetes. In people with diabetes, CVD risk follows a gradient. Reliably capturing this gradient depends on the combination of several risk factors. Existing CVD risk tools applicable to people with diabetes have shown a modest-to-acceptable performance. Future improvements may include updating existing models or constructing new ones with improved predictive accuracy. Ultimately, developed models should be tested in independent populations, and the impact of their uptake on clinical decision making and the outcome of care assessed.
这篇叙述性综述探讨了糖尿病作为心血管疾病（CVD）等同风险的概念，以及 2 型糖尿病中绝对 CVD 风险评估的原理和方法。在糖尿病患者中，CVD 风险呈梯度分布。可靠地捕捉这种梯度取决于几个风险因素的组合。适用于糖尿病患者的现有 CVD 风险工具已经表现出了适度到可接受的性能。未来的改进可能包括更新现有模型或构建具有更高预测准确性的新模型。最终，开发的模型应该在独立的人群中进行测试，并评估它们的应用对临床决策和护理结果的影响。
