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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Care Management to Promote Treatment Adherence in Patients with Cognitive Impairment and Vascular Risk Factors: A
L M Bonner1, A Hanson, G Robinson
1Laura Bonner, PhD, GRECC-S-182, VA Puget Sound Healthcare System, 1660 S. Columbian Way, Seattle, WA 98108, 206-550-1681, lmebonner@live.com.
None:
Dementia prevention is highly important. Improved control of vascular risk factors has the potential to decrease dementia risk, but may be difficult. Therefore, we developed and piloted a care management protocol for Veterans at risk for dementia. We enrolled 32 Veterans with diabetes and hypertension, at least one of which was poorly controlled, and cognitive impairment. Participants were randomly assigned to a 6-month care management intervention or to usual care. At enrollment, 6-months and 12-months, we assessed cognitive performance, mood, and diabetes and hypertension control. At follow-up, diastolic blood pressure was lower in intervention participants at 6 months (p=.041) and 12 months (p=.022); hemoglobin A1c, global mental status and mood did not differ between groups. Recall of a distractor list (p=.006) and logical memory long-delay recall (p=.036) were better at 6 months in the intervention group (p=.006). Care management may contribute to improved control of dementia risk factors.
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