Stroke and related cognitive impairments remain among the leading causes of disability and mortality worldwide. The development of reliable tools for early risk prediction represents a key priority in modern neurology and preventive medicine. This study presents the development and validation of a predictive risk scale based on a comprehensive assessment of clinical, laboratory, and neuropsychological parameters, including blood pressure levels, lipid profile, inflammatory markers, comorbidities, and indicators of short- and long-term memory. A total of 420 patients with various vascular risk factors were enrolled. Multifactorial analysis using ROC curves was conducted to determine optimal threshold values for identifying groups with low, moderate, and high risk of stroke and cognitive decline. The results demonstrated high sensitivity (89%) and specificity (84%) of the proposed scale. The clinical use of the developed predictive scale enhances the accuracy of individualized prognosis and contributes to the optimization of secondary prevention strategies for stroke and vascular dementia.

Stroke, cognitive impairment, risk scale, prediction, validation, vascular dementia, neuropsychology, prevention

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