Abstract

Relevance: diseases of the musculoskeletal system affect about half of the population. The pain caused by this pathology leads to a person's disability, which is a serious problem for everyone. There are many possibilities for diagnosing spinal diseases and assessing the condition of such patients. One of their promising and fairly objective diagnostic methods is the use of mathematical models that allow predicting a particular indicator based on already known. The purpose of the study is design of mathematical models to objectify the level of pain syndrome and the severity of motor disorders in patients with pain syndrome in various parts of the spine. Materials and methods: patients with pain syndrome of various parts of the spine were examined. A visual-analog scale was used to assess the intensity of pain, and specialized questionnaires were used to calculate the degree of motor limitations. The obtained results were processed by the method of multiple regression analysis with the construction of models-equations of the dependence of indicators on each other. Results of the study: in groups of patients with prevalence of pain in the neck and thoracic spine, statistically significant, proven models-equations were obtained that determined the dependence of the final scores of the methods of visual analog pain scale and the index of limited movements due to pain on the magnitude of the deviation of the angles of various reference points relative to the vertical axis of the body. The power level of the influence of the force of the deviation of the angles on thein groups of patients with prevalence of pain in the neck. It is concluded that it is expedient to use these models in practical healthcare for a more objective and error-free diagnosis of spinal diseases.

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