Literature DB >> 29603513

Risk score prediction model for dementia in patients with type 2 diabetes.

C-I Li1,2, T-C Li3,4, C-S Liu1,2,5, L-N Liao1, W-Y Lin1,5, C-H Lin1,5, S-Y Yang3, J-H Chiang6, C-C Lin1,2,5.   

Abstract

BACKGROUND AND
PURPOSE: No study has established a prediction dementia model in the Asian populations. This study aimed to develop a prediction model for dementia in Chinese type 2 diabetes patients.
METHODS: The retrospective cohort study included 27 540 Chinese type 2 diabetes patients (aged 50-94 years) enrolled in the Taiwan National Diabetes Care Management Program. Participants were randomly allocated into derivation and validation sets at a 2:1 ratio. Cox proportional hazards regression models were used to identify risk factors for dementia in the derivation set. Steps proposed by the Framingham Heart Study were used to establish a prediction model with a scoring system.
RESULTS: The average follow-up was 8.09 years, with a total of 853 incident dementia cases in the derivation set. The dementia risk score summed up the individual scores (from 0 to 20). The areas under the curve of 3-, 5- and 10-year dementia risks were 0.82, 0.79 and 0.76 in the derivation set and 0.84, 0.80 and 0.75 in the validation set, respectively.
CONCLUSIONS: The proposed score system is the first dementia risk prediction model for Chinese type 2 diabetes patients in Taiwan.
© 2018 EAN.

Entities:  

Keywords:  dementia; prediction model; type 2 diabetes

Mesh:

Year:  2018        PMID: 29603513     DOI: 10.1111/ene.13642

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  5 in total

1.  Development and Validation of a Nomogram for Predicting the 6-Year Risk of Cognitive Impairment Among Chinese Older Adults.

Authors:  Jinhui Zhou; Yuebin Lv; Chen Mao; Jun Duan; Xiang Gao; Jiaonan Wang; Zhaoxue Yin; Wanying Shi; Jiesi Luo; Qi Kang; Xiaochang Zhang; Yuan Wei; Virginia Byers Kraus; Xiaoming Shi
Journal:  J Am Med Dir Assoc       Date:  2020-06-03       Impact factor: 4.669

2.  Vascular complications of diabetes: natural history and corresponding risks of dementia in a national cohort of adults with diabetes.

Authors:  Po-Yin Chang; I-T Ing Wang; Chern-En Chiang; Chen-Huan Chen; Wan-Yu Yeh; Victor W Henderson; Yi-Wen Tsai; Hao-Min Cheng
Journal:  Acta Diabetol       Date:  2021-02-23       Impact factor: 4.280

3.  Brain training using cognitive apps can improve cognitive performance and processing speed in older adults.

Authors:  Bruno Bonnechère; Malgorzata Klass; Christelle Langley; Barbara Jacquelyn Sahakian
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

4.  A risk score model with five long non-coding RNAs for predicting prognosis in gastric cancer: an integrated analysis combining TCGA and GEO datasets.

Authors:  Yiguo Wu; Junping Deng; Shuhui Lai; Yujuan You; Jing Wu
Journal:  PeerJ       Date:  2021-02-09       Impact factor: 2.984

Review 5.  Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines.

Authors:  Kaarin J Anstey; Lidan Zheng; Ruth Peters; Scherazad Kootar; Mariagnese Barbera; Ruth Stephen; Tarun Dua; Neerja Chowdhary; Alina Solomon; Miia Kivipelto
Journal:  Front Neurol       Date:  2022-01-04       Impact factor: 4.003

  5 in total

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