Validation of the Intelligent Cognitive Assessment System (ICAS) for stroke survivors

Area of Science:

• Neurology
• Cognitive Science
• Medical Technology

Background:

• Cognitive impairment is a common complication in stroke survivors.
• Accurate and reliable screening tools are essential for early detection and intervention.
• The Intelligent Cognitive Assessment System (ICAS) offers a novel approach to cognitive assessment.

Purpose of the Study:

• To evaluate the internal consistency and test-re-test reliability of the ICAS.
• To determine the optimal cut-off score of the ICAS for identifying cognitive impairment in stroke patients.
• To establish the validity of the ICAS as a cognitive screening tool for post-stroke individuals.

Main Methods:

• A prospective cohort study involving 66 post-stroke patients aged 60 and above.
• Patients were screened using the Chinese version of the Mini Mental State Examination (MMSE-CV).
• The ICAS, comprising 65 adaptive testing items, was administered to assess cognitive function and reliability.

Main Results:

• The ICAS exhibited strong internal consistency (Cronbach's alpha = 0.878).
• Excellent test-re-test reliability was observed (rho = 0.789; p < 0.001).
• An optimal cut-off score of 3.02 was identified, yielding 80.5% sensitivity and 96% specificity for cognitive impairment.

Conclusions:

• The ICAS is a valid and reliable cognitive screening tool for stroke survivors.
• Further research is recommended to establish norms for stroke patients and explore cross-cultural adaptations.
• The ICAS holds potential for widespread application in diverse clinical settings.