Miryutova N F, Fokin V A, Minchenko N N, Alaytseva S V
Federal Scientific and Clinical Center of Medical Rehabilitation and Balneology of the Federal Medical and Biological Agency of Russia, Moscow, Russia.
Vopr Kurortol Fizioter Lech Fiz Kult. 2025;102(3):31-40. doi: 10.17116/kurort202510203131.
The World Stroke Organization notes the growing number of strokes worldwide. Motor disorders in the paretic limbs are one of the most common consequences of stroke, which significantly affects the quality of patients' daily lives. The possibility of early prediction of clinical and functional recovery of patients after stroke is an important component of the rehabilitation process.
To develop a model for predicting the restoration of the functional activity of paretic limbs and mobility of patients in the early recovery period of ischemic stroke and to evaluate the results of rehabilitation with a positive and negative prognosis.
The prognostic factors used were the results of an assessment of motor disorders, balance function on the Fugl-Meyer scale and interhemispheric brain activity (Brain symmetry indices in standard electroencephalogram leads), as well as the patient's age, prescription of stroke, and level of vital activity at the time of examination. The functional activity of paretic limbs and mobility of patients were assessed using validated scales (Action Research Arm Test, Modified Frenchay scale, Wolf Motor Function Test, Rivermead mobility index, Hauser ambulance index, Functional Independence Measurement). The TIBCO Software Inc. (2017) program was used to build the model, Statistica, version 13. The Mann-Whitney criterion was used to identify differences between subgroups.
A new method for predicting the functional recovery of paretic limb activity after ischemic stroke has been developed (patent RU2825714C1, publ. 08/28/2024). The forecast model developed by the logistic regression method is statistically significant (χ=43.26; <0.001. Operational characteristics of the test (training sample of 91 patients): sensitivity - 84%, specificity - 83%, diagnostic accuracy - 84%. After rehabilitation, a statistically significantly greater increase in the indicators of functional activity of paretic limbs and mobility was revealed in patients with a positive prognosis compared with a subgroup of patients with a negative prognosis.
The obtained model makes it possible to predict the recovery of patients' activity in terms of self-care and movement in the first six months after an ischemic stroke in the presence of limb paresis.
世界卒中组织指出全球卒中数量不断增加。偏瘫肢体的运动障碍是卒中最常见的后果之一,严重影响患者的日常生活质量。早期预测卒中后患者临床和功能恢复的可能性是康复过程的重要组成部分。
建立一个预测缺血性卒中早期恢复期偏瘫肢体功能活动恢复及患者运动能力的模型,并评估预后为阳性和阴性时的康复结果。
所使用的预后因素包括运动障碍评估结果、Fugl-Meyer量表上的平衡功能和半球间脑活动(标准脑电图导联中的脑对称指数),以及患者年龄、卒中处方和检查时的生命活动水平。使用经过验证的量表(动作研究上肢测试、改良Frenchay量表、Wolf运动功能测试、Rivermead运动指数、Hauser救护车指数、功能独立性测量)评估偏瘫肢体的功能活动和患者的运动能力。使用TIBCO软件公司(2017年)的程序构建模型,Statistica 13版本。使用曼-惠特尼准则识别亚组之间的差异。
已开发出一种预测缺血性卒中后偏瘫肢体活动功能恢复的新方法(专利RU2825714C1,公布于2024年8月28日)。通过逻辑回归方法开发的预测模型具有统计学意义(χ=43.26;<0.001)。测试的操作特征(91例患者的训练样本):敏感性-84%,特异性-83%,诊断准确性-84%。康复后,与预后为阴性的患者亚组相比,预后为阳性的患者偏瘫肢体功能活动指标和运动能力的增加在统计学上显著更大。
所获得的模型能够在存在肢体麻痹的情况下,预测缺血性卒中后前六个月患者在自我护理和运动方面的活动恢复情况。