PREDICTION OF THE RISK OF NEUROLOGICAL DISORDERS AND DISORDERS OF THE MUSCULOSKELETAL SYSTEM IN POST-STROKE PATIENTS
DOI:
https://doi.org/10.11603/2411-1597.2023.3-4.14548Keywords:
stroke, diseases of the nervous system, disorders of the musculoskeletal system, multivariate regression prediction modelAbstract
Introduction. Stroke is a severe somatic disease characterised by impaired cerebral circulation, nervous system and musculoskeletal system functions. Stroke is one of the leading causes of death and a serious global threat to public health worldwide. That is why it is an urgent task to predict the risk of nervous system and musculoskeletal disorders.
The aim of the study – to develop a multivariate regression model for predicting the risk of diseases of the nervous system and musculoskeletal system in post-stroke patients.
The main part. Were examined 107 patients who suffered a stroke and were undergoing inpatient treatment in the stroke department of the Ternopil Regional Clinical Psychoneurological Hospital of Ternopil Regional Council. The study involved post-stroke patients aged 35 to 83 years with various risk symptoms of neurological and locomotor disorders, as well as localization of brain damage. The paper proposes risk criteria for nervous disorders and diseases of the musculoskeletal system. The initial data for the study were localization of damage to the left and right hemispheres, occipital and parietal-occipital areas, symptoms of damage to the musculoskeletal system, dizziness, numbness of the limbs, paresis, hemihypesthesia, movement disorders. According to the results of multivariate regression analysis in the Statistica 10.0 program for predicting the risk of damage to the nervous system and musculoskeletal system, localization of damage in the occipital region, symptoms of damage to the musculoskeletal system, dizziness, numbness of the limbs, paresis were the most significant with a significance level of less than 0.05. The coefficient of determination (R2) was used to test the quality of the predictive model, and ANOVA was used to assess model acceptability.
Conclusions. The proposed multivariate regression model for predicting the risk of developing disorders of the nervous and musculoskeletal systems will allow timely monitoring and assessment of the condition of post-stroke patients, as well as contribute to the creation of effective adapted rehabilitation programs for patients with impaired cerebral circulation.
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