Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).
Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).
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预测糖尿病：临床，生物学和遗传方法：来自胰岛素抵抗综合征（DESIR）的流行病学研究的数据。
DOI：
10.2337/dc08-0368
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发表时间：
2008-10
期刊：
影响因子：
16.2
通讯作者：
Eschwege, Eveline
中科院分区：
文献类型：
--
作者：
Balkau, Beverley;Lange, Celine;Fezeu, Leopold;Tichet, Jean;De Lauzon-Guillain, Blandine;Cernichow, Sebastien;Fumeron, Frederic;Froguel, Philippe;Vaxillaire, Martine;Cauchi, Stephane;Ducimetiere, Pierre;Eschwege, Eveline
主动性-提供一个简单的临床糖尿病风险评分，并使用临床环境中可用的变量以及生物学变量和多态性来识别预测晚期糖尿病的特征。研究设计和方法-研究了1，863名男性和1，954名女性的糖尿病事件，基线年龄为30-65岁，糖尿病定义为治疗或9年内3年一次的空腹血糖≥7.0 mmol/l。性别特异性logistic回归方程用于选择预测变量。共有140名男性和63名女性患上糖尿病。预测性临床变量是男性和女性的腰围和高血压，男性吸烟，女性家族中有糖尿病。通过受试者工作曲线下面积（AROC）测量的歧视，男性为0.713，女性为0.827，略高于完成糖尿病风险（FINDRISC）评分，评分中的变量较少。结合临床和生物学变量，男性的预测方程包括空腹血糖、腰围、吸烟和γ-谷氨酰转移酶，女性的预测方程包括空腹血糖、BMI、甘油三酯和家族糖尿病。TCF 7 L2和IL 6有害等位基因的数量在两种性别中都具有预测性，但在包括上述临床和生物学变量后，该变量仅在女性中具有预测性（P < 0.03），并且AROC统计仅略微增加。结论：肥胖是糖尿病最好的临床预测因子，而基线血糖是最好的生物学预测因子。男性和女性之间的临床和生物学预测因素略有不同。遗传多态性对糖尿病的预测作用不大。
OBJECTIVE—To provide a simple clinical diabetes risk score and to identify characteristics that predict later diabetes using variables available in the clinic setting as well as biological variables and polymorphisms. RESEARCH DESIGN AND METHODS—Incident diabetes was studied in 1,863 men and 1,954 women, 30–65 years of age at baseline, with diabetes defined by treatment or by fasting plasma glucose ≥7.0 mmol/l at 3-yearly examinations over 9 years. Sex-specific logistic regression equations were used to select variables for prediction. RESULTS—A total of 140 men and 63 women developed diabetes. The predictive clinical variables were waist circumference and hypertension in both sexes, smoking in men, and diabetes in the family in women. Discrimination, as measured by the area under the receiver operating curves (AROCs), were 0.713 for men and 0.827 for women, a little higher than for the Finish Diabetes Risk (FINDRISC) score, with fewer variables in the score. Combining clinical and biological variables, the predictive equation included fasting glucose, waist circumference, smoking, and γ-glutamyltransferase for men and fasting glucose, BMI, triglycerides, and diabetes in family for women. The number of TCF7L2 and IL6 deleterious alleles was predictive in both sexes, but after including the above clinical and biological variables, this variable was only predictive in women (P < 0.03) and the AROC statistics increased only marginally. CONCLUSIONS—The best clinical predictor of diabetes is adiposity, and baseline glucose is the best biological predictor. Clinical and biological predictors differed marginally between men and women. The genetic polymorphisms added little to the prediction of diabetes.
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影响因子：
4.7
作者：
Balkau, B;Sapinho, D;Charles, MA
通讯作者：
Charles, MA
影响因子：
16.2
作者：
Schulze, Matthias B.;Hoffmann, Kurt;Joost, Hans-Georg
通讯作者：
Joost, Hans-Georg
影响因子：
7.2
作者：
André, P;Balkau, B;Eschwège, E
通讯作者：
Eschwège, E
影响因子：
--
作者：
Rathmann, W;Martin, S;Giani, G
通讯作者：
Giani, G
影响因子：
7.7
作者：
Vaxillaire, Martine;Veslot, Jacques;Froguel, Philippe
通讯作者：
Froguel, Philippe