Classification models for early identification of persons at risk for dementia in primary care: an evaluation in a sample aged 80 years and older.
Classification models for early identification of persons at risk for dementia in primary care: an evaluation in a sample aged 80 years and older.
复制标题
初级保健中早期识别痴呆风险人群的分类模型：对 80 岁及以上样本的评估。
DOI：
10.1159/000261501
复制
发表时间：
2009
影响因子：
2.4
通讯作者：
Johansson,Boo
中科院分区：
文献类型：
--
作者：
vandenKommer,TessaN;Bontempo,DanielE;Comijs,HannieC;Hofer,ScottM;Dik,MirandaG;Piccinin,AndreaM;Jonker,Cees;Deeg,DorlyJH;Johansson,Boo
Aim:To evaluate previously developed classification models to make implementation in primary care possible and aid early identification of persons at risk for dementia.Methods:Data were drawn from the OCTO-Twin study. At baseline, 521 persons ≧80 years of age were nondemented, and for 387 a blood sample was available. Predictors of dementia were collected and analyzed in initially nondemented persons using generalized estimating equations and Cox survival analyses.Results:In the basic model using predictors already known or easily obtained (basic set), the mean 2-year predictive value increased from 6.9 to 28.8% in persons with memory complaints and an MMSE score ≤25. In the extended model, using both the basic set and an extended set of predictors requiring further assessment, the 8-year predictive value increased from 15.0 to 45.8% in persons with low cholesterol and an MMSE score ≤24.Conclusion:Both models can contribute to an improved early identification of persons at risk for dementia in primary care.
