P3-161: Antithrombotic medication use and dementia incidence among people with mild cognitive impairment and atrial fibrillation

2013 ◽  
Vol 9 ◽  
pp. P612-P612 ◽  
Author(s):  
Dana Meranus ◽  
Walter Kukull
2006 ◽  
Vol 28 (6) ◽  
pp. 625-629 ◽  
Author(s):  
Paola Forti ◽  
Fabiola Maioli ◽  
Nicoletta Pisacane ◽  
Elisa Rietti ◽  
Fausta Montesi ◽  
...  

2018 ◽  
Vol 394 ◽  
pp. 75-77 ◽  
Author(s):  
Pavel Krupenin ◽  
Mariia Gabitova ◽  
Sergey Bordovsky ◽  
Yana Kirichuk ◽  
Dmitry Napalkov ◽  
...  

2019 ◽  
Vol 68 (4) ◽  
pp. 1439-1451 ◽  
Author(s):  
Kayela Robertson ◽  
Eric B. Larson ◽  
Paul K. Crane ◽  
Brenna Cholerton ◽  
Suzanne Craft ◽  
...  

2020 ◽  
Author(s):  
Yiwei Lai ◽  
Chao Jiang ◽  
Xin Du ◽  
Zhiyan Wang ◽  
Jingrui Zhang ◽  
...  

Abstract Background: Atrial fibrillation (AF) is associated with high risk of mild cognitive impairment (MCI) and dementia. However, feasible and simple instruments that facilitates regular assessment of cognitive status in AF patients remain underdeveloped. Methods: Cognitive function of 136 AF patients was first evaluated using T-MoCA. Cognitive function of 101 patients was then assessed through in-person interview by physicians who are blinded to telephone interview results, using both Clinical Dementia Rating (CDR) and Mini-Mental Status Evaluation (MMSE). Using CDR=0.5 as a reference standard, the ability of T-MoCA and MMSE to discriminate cognitive dysfunction, stratified by education level, was tested by receiver-operating curve (ROC) analysis. Net reclassification index was calculated for comparison between the performance of T-MoCA and MMSE. Results: Thirty-five MCI patients were identified as MCI using the criteria of CDR=0.5. The areas under the ROC curve of T-MoCA were 0.80 (0.71-0.89), 0.83 (0.71-0.95), and 0.85 (0.64-0.92) for all patients, patients with high educational level, and patients with low education level, respectively. The optimal threshold was achieved at 16/17 with a sensitivity of 85.7% and a specificity of 69.7% in overall patients, 15/16 with a sensitivity of 88.2% and a specificity of 64.5% in the low educational level patients, and 16/17 with a sensitivity of 77.8% and a specificity of 87.9% in the high educational level patients. Compared to the criterion MMSE≤27 and MMSE norms for the Chinese community elderly, stratified T-MoCA threshold improves correct classification by 23.7% (p=0.033) and 30.3% (p=0.020) respectively. Conclusion: T-MoCA is a feasible and effective method for MCI screening in patients with AF.


2017 ◽  
Vol 44 (1-2) ◽  
pp. 63-70 ◽  
Author(s):  
Michael H. Connors ◽  
David Ames ◽  
Michael Woodward ◽  
Henry Brodaty

Background/Aims: Driving cessation is associated with significant morbidity in older people. People with mild cognitive impairment (MCI) may be at particular risk of this. Very little research has examined driving in this population. Given this, we sought to identify predictors of driving cessation in people with MCI. Methods: One hundred and eighty-five people with MCI were recruited from 9 memory clinics around Australia. People with MCI and their carers reported their driving status and completed measures of cognition, function, neuropsychiatric symptoms, and medication use at regular intervals over a 3-year period. Results: Of the 144 people still driving at baseline, 50 (27.0%) stopped driving during the study. Older age, greater cognitive and functional impairment, and greater decline in cognition and function at 6 months predicted subsequent driving cessation. Twenty-nine of the 50 people (58%) who stopped driving were diagnosed with dementia during the study; all except one of whom ceased driving after their dementia diagnosis. Conclusion: A significant proportion of people diagnosed with MCI stop driving over the following 3 years. This cannot be entirely attributed to developing dementia. Easily assessable characteristics - such as age, cognition, and function - and changes in these measures over 6 months predict driving cessation.


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