Abstract Details

Title Characterization of Mild Cognitive Impairment with a Digital Cognitive Assessment Tool

Topic Aging, Dementia, and Behavioral Neurology

Presentation(s) P14 - Poster Session 14 (11:45 AM-12:45 PM)

Poster/Presentation
Number 3-005

Objective Evaluation of cognitive domain scores in MCI and their diagnostic performance compared to Mini Mental State Exam (MMSE) using a digital assessment tool.

Background Digital cognitive assessment may aid clinical diagnostics of Mild Cognitive Impairment (MCI).

Design/Methods Patients with a clinical diagnosis of MCI were enrolled from a memory clinic. Patients with large structural abnormality on Magnetic Resonance Imaging, or with history of pharmacotherapy or other diseases with potential effect on cognition were excluded. Seventy-five patients (38 female, age:74.8±6.3 years) were included. Cognitive assessment was done on an iPad app (IntelliSpace Cognition, Philips Healthcare) along with MMSE version 2 (MMSE-2). Six cognitive domain scores (Memory, Executive Functioning, Processing Speed, Verbal Processing, Visual Spatial Processing, Working Memory) were calculated using a cognitive model, previously established in a healthy cohort with same battery. Scores were compared with an age and gender-matched subset of healthy controls (n=75, 37 female, age:75.1±2.5 years). Effect size and Receiver Operating Characteristic (ROC) curves were calculated for each domain score and MMSE-2 total score.

Results Years of education was significantly higher in the MCI group (16.1±3.2 vs. 17.7±3 years, p=0.002). All cognitive domain scores were lower in the MCI group. The difference was trend level for Verbal Processing (p=0.056) and significant for other domains (p<0.001). Cohen’s d was 1.1 for Memory, 1.0 for Executive functioning, 0.8 for MMSE-2 and Working Memory and lower for other domains. ROC area under the curve (AUC) was 78.6 for Memory (CI-95% = 71.3-85.9), 77.1 for Executive functioning (CI-95% = 69.7-84.5) and 71.1 for MMSE-2 (CI-95% = 62.9-79.4). The AUC was lowest for Verbal Processing: 57.1 (CI-95% = 47.9-66.3).

Conclusions Memory and Executive Functioning domain scores were stronger predictors of MCI compared to the MMSE-2 total score. Other cognitive domains also showed a significantly lower score compared to controls, but weaker predictive value.

Authors/Disclosures
Nandor K. Pinter (Dent Neurologic Institute) PRESENTER	Nandor K. Pinter has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Hyperfine Inc. The institution of Nandor K. Pinter has received research support from Dent Family Foundation.
Erica S. Westphal (Dent Neurologic Institute)	The institution of Ms. Westphal has received personal compensation in the range of $500-$4,999 for serving as a Consultant for McKesson Coorporation. The institution of Ms. Westphal has received research support from Dent Neurologic Institute.
	No disclosure on file
	No disclosure on file
Ryu P. Dorn (Dent Neurologic Institute)	Mr. Dorn has nothing to disclose.
Sarah Harlock, MBA (Dent Neurologic Group, LLP)	Ms. Harlock has nothing to disclose.
	No disclosure on file
Bela Ajtai, MD	Dr. Ajtai has received personal compensation in the range of $10,000-$49,999 for serving on a Speakers Bureau for Biogen.
Ben Schmand, PhD	Dr. Schmand has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Philips. Dr. Schmand has received publishing royalties from a publication relating to health care.
	No disclosure on file

��ɫ��

��ɫ��