Frontiers in Rehabilitation Sciences, 2022 · DOI: 10.3389/fresc.2022.889577 · Published: June 30, 2022
This study aims to improve treatment plans for patients with cervical spinal cord injuries (cSCI) affecting their upper extremities. It explores how to predict the effectiveness of different treatment pathways, both conservative and surgical. The researchers analyzed data from 220 cSCI patients, focusing on factors like muscle strength, nerve integrity, and the severity of the spinal cord injury. They used this information to create a model that predicts muscle strength recovery. The goal is to use this prediction model to create individualized treatment plans that include electrical stimulation (ES) to improve hand and arm function, motor learning, and muscle strength.
The prediction model enables tailored treatment plans, optimizing therapy based on individual patient characteristics.
Early identification of muscle strength predictors allows for timely implementation of appropriate interventions like nerve transfers and electrical stimulation.
The findings guide the selection of electrical stimulation protocols for motor learning, strengthening, and muscle property preservation.