血清C反应蛋白预测腹型肥胖者糖尿病发病风险的价值分析

Analysis of values of serum C-reactive protein level in prediction of diabetes risk in people with abdominal obesity

目的:分析C反应蛋白(C-reactive protein,CRP)水平预测腹型肥胖者糖尿病发病风险的价值。方法:选择223例腹型肥胖者作为研究对象,检测其CRP水平。将研究对象按照血清CRP水平高低分为四组,各组分别为<1.00 mg/L、1.00~1.99 mg/L、2.00~2.99 mg/L、≥3.00 mg/L,随访5年,每年定期检测研究对象的CRP及血糖水平。比较每组对象糖尿病发生情况;采用COX风险比例回归模型分析血清C反应蛋白CRP水平与糖尿病发病的关联,绘制ROC曲线评估血清C反应蛋白CRP水平预测糖尿病的价值。结果:随着血清CRP水平的升高,腹型肥胖患者的糖尿病发生率逐渐增大,差异有统计学意义(P<0.05)。COX风险比例回归模型结果显示,血清C反应蛋白CRP含量越高,发生糖尿病的概率越大。同时,血清C反应蛋白CRP水平来预测糖尿病的ROC曲线,曲线下面积为0.610。结论:血清CRP水平较高的腹型肥胖人群更有发生糖尿病的风险。

Objective： To evaluate values of serum C-reactive protein （CRP） level in prediction of diabetes risk in peoplewith abdominal obesity. Methods： 223people with abdominal obesity were enrolled in the study and their CRP levels were detected.These people were divided into four groups （CRP〈1. 00 mg / L,1. 00-1. 99 mg / L,2. 00-2. 99 mg / L or ≥3. 00 mg / L） and followed-up for 5 years. The levels of CRP and blood sugar were detected regularly every year. Theincidence rates of diabetes among each groupwere compared. The COX proportional hazards regression model was used to analyze the association between serum CRP level and diabetes. Further, the ROC curve was used to evaluate the predict power of CRP in the diagnosis of diabetes. Results： The incidence rateof diabetes of the patients withabdominal obesity increased gradually with the increase of the CRP level, and the difference was statistically significant （P〈0. 05）. TheCOX regression model showed that higher the serum CRP level was,the greater the diabetes probabilitywas, and the area under the ROC curve for the serum CRP level to predict diabetes was 0. 610. Conclusions： The people with abdominal obesity and high serum CRP level have a risk of diabetes.