Abstract

To develop a method for assessing RP in patients in the acute period of IS and to evaluate its role in predicting the effectiveness of therapeutic measures in the early recovery period. The study consisted of two parts. In the first part, using mathematical modeling methods, a method was created for assessing the RP of patients with acute IS. For this, we analyzed the discharge records of 102 patients (training sample) with IS aged 42 to 80 years (mean age 64.0±2.6 years). In the second part of the study, the results of rehabilitation measures were analyzed in these patients, who were transferred from the primary vascular department to the neurological department of Angara Clinical Resort. At the end of stage II of rehabilitation, a multidisciplinary team assessed the effectiveness of treatment of patients using integral indicators characterizing the clinical condition of a patient who had a stroke. In the first part of the study, devoted to the development of a mathematical model for assessing the RP of patients with IS, a methodology algorithm was created: a formalized patient card was created, the evidence base is represented by 85 indicators; certain indicators were assigned the values of the coefficients of linear classification functions, depending on which the patient fell into one of 4 groups: group 1 - satisfactory RP with limitations in rehabilitation measures; group 2 - satisfactory RP; group 3 - low RP; 4th group - high RP. The second part of the study was devoted to determining the value of RP for predicting the effectiveness of therapeutic measures in the early recovery period (stage II of medical rehabilitation). When testing patients at the end of treatment at the resort, it was found that the greatest effect was observed in patients of the 4th group with a high RP. A lesser effect was noted in patients of the 2nd group. The worst results were registered in the 1st and especially in the 3rd groups. The use of the method for assessing the RP of patients who have undergone IS, based on mathematical modeling, makes it possible to predict the results of medical rehabilitation of patients with IS at the II stage of rehabilitation in a resort.

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