Risk score for prediction of 10 year dementia risk in individuals with type 2 diabetes: a cohort study.
Risk score for prediction of 10 year dementia risk in individuals with type 2 diabetes: a cohort study.
复制标题
预测2型糖尿病患者10年痴呆风险的风险评分:一项队列研究。
DOI:
10.1016/s2213-8587(13)70048-2
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发表时间:
2013-11
影响因子:
44.5
通讯作者:
Whitmer, Rachel A.
中科院分区:
文献类型:
--
作者:
Exalto, Lieza G.;Biessels, Geert Jan;Karter, Andrew J.;Huang, Elbert S.;Katon, Wayne J.;Minkoff, Jerome R.;Whitmer, Rachel A.
Patients with type 2 diabetes (T2DM) are twice as likely to develop dementia though it’s difficult to predict who has the highest future risk. We created and validated a practical summary risk score providing an individualized estimate of the 10-year dementia risk in T2DM patients. Two longitudinal cohorts T2DM patients aged 60 + with ten years follow-up were used to create (Diabetes and Aging Study N=29,961) and validate (Pathways Study N=2,413) the risk score. We built our prediction model by evaluating 45 candidate predictors using Cox proportional hazard models and developed a point system for the risk score based on the size of the predictor’s beta coefficient. Model prediction was tested by discrimination and calibration methods. Dementia risk per sum score was calculated with Kaplan-Meier estimates. Microvascular disease, diabetic foot, cerebrovascular disease, cardiovascular disease, acute metabolic events, depression, age and education most strongly predicted dementia and constitute the risk score (c-statistic= 0.73 creation cohort, c statistic =0.74 validation cohort). There was a 15-fold difference (5% vs. 73%) in observed dementia risk between the lowest (-1) and the highest (≥12) sum score. This is the first risk score capable of predicting 10-year individualized dementia risk in patients with T2DM. The risk score can be used to increase vigilance for cognitive deterioration and to selection of high risk patients for clinical trials. NIH DK081796, Kaiser Permanente Community Benefit grant, Utrecht University high potential grant, VIDI grant 91711384 from ZonMw and Fulbright Fellowship.