A-62 The Philips IntelliSpace Cognition Platform: Ability to Classify a Mixed Clinical Sample

Abstract

Objective We developed a cloud-based platform, Philips Intellispace Cognition (ISC), containing tablet-based versions of conventional cognitive tests. We investigated the battery's sensitivity for subtle cognitive impairment in a mixed clinical sample. Method The sample consisted of 221 healthy participants and 98 traumatic brain injury (TBI) and stroke patients who all scored above the MMSE-2 cutoff of 24, but reported subjective cognitive complaints. All completed the following ISC tests: Phonetic Fluency; Semantic Fluency; Trail-Making; Stroop; O-Cancellation; Star-Cancellation; Digit Span; Rey Auditory Verbal Learning; Rey-Osterrieth Complex Figure. We used ROC analyses to investigate our ability to distinguish the patient and healthy samples. Specifically, we assessed the area under the curve (AUC), where a value of.50 indicates random classification and 1 indicates perfect distinguishability. To this end, we compared sensitivity of cognitive domain scores distilled from the ISC tests (using confirmatory factor analysis) with the sensitivity of MMSE-2 scores. The cognitive domains were executive functioning, processing speed, working memory, memory, and visuospatial ability. Results The AUC of the MMSE-2 was.46, as expected given the fact that all patients scored above the cut-off. The AUCs of the model domain scores ranged from.56 to.73. The differences between these AUCs and the MMSE AUC were all significant (ps ≤.004), except for visuospatial ability (p =.070). Conclusions The ISC test battery was able to pick up on cognitive impairment in a mixed clinical sample consisting of patients that all scored normally on the MMSE-2. These findings show the usefulness of the digital platform in clinical practice. [ABSTRACT FROM AUTHOR]