PREDICTION OF THE RISK OF NEUROLOGICAL DISORDERS, DISORDERS OF THE MUSCULOSKELETAL SYSTEM AND QUALITY OF LIFE IN POST-STROKE PATIENTS
DOI:
https://doi.org/10.11603/2411-1597.2024.1.14659Keywords:
stroke, risk of neurological disorders, musculoskeletal disorders, quality of life indicators, multivariate regression model of predictionAbstract
Introduction. The issue of quality of life in post-stroke patients remains relevant today, as stroke is one of the most common causes of disability and mortality in developed countries. Un Ukraine, there are more than 2 million people who have suffered a stroke and are living with its consequences. According to the Ministry of Health of Ukraine, 31 % of people who have had a stroke require outside help, and 20 % are unable to move independently. Stroke has a significant impact on stroke survivors, including health-related quality of life. Measuring quality of life is as important to patients as determining impairment or disability and is an important outcome measure after stroke that can contribute to a broader description of the disease and its consequences. This study examined factors associated with quality of life in stroke patients.
The aim of the study – to develop a multivariate regression model for predicting the risk of neurological disorders and impaired locomotor function and quality of life in post-stroke patients.
The main part. The study examined 105 patients who had a stroke and were undergoing inpatient treatment in the stroke department of the Ternopil Regional Clinical Psychoneurological Hospital. The study included post-stroke patients aged 35 to 83 years with various symptoms of risk of neurological and musculoskeletal disorders, as well as localization of the brain lesion. The paper proposes risk criteria for nervous disorders and musculoskeletal disorders and indicators of quality of life. The initial data for the study were the localization of lesions of the left and right hemispheres, occipital and parieto-occipital areas, symptoms of musculoskeletal disorders: dizziness, limb numbness, paresis, hemihypesthesia, motor disorders, and 10 quality of life indicators. According to the results of multivariate regression analysis in Statistica 10.0 for predicting the risk of neurological and musculoskeletal disorders and quality of life indicators, the most important factors with a significance level of <0.05 were the localization of the lesion in the occipital region, symptoms of musculoskeletal disorders, dizziness, limb numbness, paresis, hemihypesthesia, and motor disorders. The coefficient of determination (R2) was used to test the quality of the prognostic model, and ANOVA was used to assess the model’s acceptability.
Conclusions. The proposed prognostic model will allow timely determination of the risk of neurological disorders and disorders of the musculoskeletal system and quality of life indicators and monitoring of post-stroke patients, which will ensure timely implementation of a set of therapeutic and preventive measures to prevent the risk of neurological disorders and disorders of musculoskeletal apathy and quality of life indicators and the possibility of developing an appropriate medical calculator.
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