ArticleCureus2026
Utility of a Computerized Cognitive Function Assessment Tool (CogEvo) in Patients With Acute Stroke: Associations With the Mini-Mental State Examination, Trail Making Test, and Length of Hospital Stay.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundCognitive impairment is a common and clinically significant consequence of acute stroke, frequently associated with prolonged hospitalization and poor functional outcomes. Conventional paper-based tools such as the Mini-Mental State Examination (MMSE) and Trail Making Test (TMT) have recognized limitations in the acute setting, including ceiling effects and high rates of non-completion. CogEvo, a tablet-based computerized cognitive assessment tool evaluating five domains (orientation, attention, memory, planning, and spatial cognition), offers a potentially feasible alternative; however, its applicability in acute stroke has not been established.
methodsIn this prospective single-center pilot study, 17 consecutive acute stroke patients underwent concurrent CogEvo, MMSE, and TMT-A/B assessments during occupational therapy evaluation (mean 13.9 ± 7.5 days post-admission). Spearman rank-order correlations were computed between CogEvo composite and domain scores and MMSE, length of hospital stay, TMT-A/B, National Institutes of Health Stroke Scale (NIHSS), and age. TMT analyses used separate complete case analyses (TMT-A: N = 12; TMT-B: N = 10).
resultsAll 17 patients completed CogEvo; only 10 (58.8%) completed TMT-B. CogEvo composite scores were significantly correlated with MMSE (r = 0.693, p = 0.002), length of hospital stay (r = -0.518, p = 0.033), TMT-A (r = -0.580, p = 0.048, N = 12), and TMT-B (r = -0.648, p = 0.043). Domain-level analyses (N = 14) revealed that attention (r = 0.633, p = 0.015), planning (r = 0.668, p = 0.009), and spatial cognition (r = 0.664, p = 0.010) were significantly correlated with MMSE; planning was also significantly correlated with length of hospital stay (r = -0.641, p = 0.014).
conclusionsCogEvo demonstrated universal feasibility, convergent validity with MMSE and TMT, and clinically meaningful associations with length of hospital stay in acute stroke patients. Domain-level analyses suggest that planning ability may be particularly relevant to the discharge trajectory. CogEvo may serve as a feasible ICT-based complement to conventional cognitive assessment in the acute stroke setting. Prospective multicenter studies are warranted.
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