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Phys Act Nutr > Volume 28(4); 2024 > Article
Lee and Yoon: Changes in body composition, physical fitness and quality of life on robotic gait assisted training in patients with Guillain-Barré Syndrome: a case report

Abstract

[Purpose]

This case report evaluates changes in body composition, physical fitness, and quality of life in a patient with Guillain-Barre syndrome (GBS) undergoing training with an end-effector gait robotic device.

[Methods]

A 35-year-old man with GBS completed interval training using a robotic gait assistant three times weekly for four weeks. The training intensity was set at 70-75% (Phase 1) and 80-85% (Phase 2) of the target heart rate, calculated using the heart rate reserve. Evaluations included body composition, physical fitness, isometric strength, gait performance, and quality of life indices.

[Results]

Post-intervention, improvements were observed across all parameters. Body weight increased by 1.2%, while body fat percentage and visceral fat decreased by 5.4% and 3.7%, respectively. Muscle mass increased by 3.3%, and isometric strength improved at all tested sites. Gait speed increased from 0.7 to 1.8 km/h (157.1%), and the number of steps per minute increased from 33 to 77 (133.3%). The timed up-and-go (TUG) test improved by 7.1%, and exercise self-efficacy (ESE) scores increased by 29.1%.

[Conclusion]

These findings align with the principles of neuromuscular adaptation, motor learning, and neuroplasticity. Interval training with a robotic gait device may effectively restore physical function and improve quality of life in patients with GBS. However, the limitations of this single case study highlight the need for randomized controlled trials with larger cohorts and long-term effectiveness assessments.

INTRODUCTION

Guillain-Barré Syndrome (GBS) is an acute inflammatory demyelinating polyradiculoneuropathy or acute motor axonal neuropathy. It is an immune-mediated polymyopathy that affects sensory, motor, and autonomic nerves and is caused by an abnormal immune response to infection. Although peripheral nerve damage is the primary mechanism, the exact etiology remains unclear [1]. The incidence of this rare condition is 0.89-1.89 per 100,000 people, with men exhibiting a 1.78 times higher risk than women [2]. The primary clinical manifestations of GBS include rapid-onset paralysis and sensory deficits, which range from mild muscle weakness to complete paralysis [3].
Maximum muscle weakness typically occurs 2-4 weeks after symptom onset, with gradual improvement over subsequent weeks and months. Although most patients recover, some experience persistent physical dysfunction. Notably, approximately 10-20% of patients are unable to regain walking ability even six months after disease onset [3,4]. Treatment requires a multidisciplinary approach, combining immunomodulatory therapies such as plasma exchange and intravenous immunoglobulins with rehabilitation interventions [3,5]. Rehabilitation aims to prevent and minimize physical impairments [1]. Evidence suggests that physical rehabilitation strategies, including core stability exercises, combined exercise regimens, high-intensity resistance training, and gait training, can reduce disability and improve muscle strength, lung function, functional independence, and quality of life in patients with GBS [6-9].
Restoration of walking ability is a critical goal of rehabilitation in neurological disorders, including GBS. Achieving this requires targeted muscle strengthening and improvements in basal physical fitness through gait training. Robotic gait training (RGT) has emerged as a promising alternative approach, offering early initiation of walking therapy, prolonged and high-intensity sessions, reproducible gait patterns, and objective performance measurement [10]. Studies have demonstrated the efficacy of RGT in enhancing motor and cardiorespiratory functions in patients with stroke and spinal cord injury [11-13]. However, evidence on its application in GBS remains limited. Given the scarcity of robust evidence on the effectiveness of exercise interventions for GBS and the lack of standardized exercise protocols, further research is needed to assess the role of RGT in improving walking ability and physical fitness in this patient population.
Therefore, in this study, we aimed to evaluate changes in body composition, basal physical fitness, and quality of life in patients with GBS using end-effector-type robotic gait training devices. Additionally, the study sought to identify the potential benefits of RGT in GBS rehabilitation and contribute to the development of effective exercise rehabilitation protocols to enhance gait ability and overall physical function.

METHODS

Participant and history

The participant was a 35-year-old Korean man who developed cold symptoms, including fever and sore throat, after dinner in the Philippines on December 15, 2022. Symptoms of food poisoning, such as vomiting, dizziness, and diarrhea, emerged the following day. After receiving treatment and prescriptions for food poisoning at a local hospital, these symptoms improved. However, one week later, the participant experienced weakness in both legs, lethargy, dizziness, and speech difficulties. Paralysis and dyspnea in the left arm were also observed. Upon returning to Korea, the participant was diagnosed with GBS through computed tomography (CT), magnetic resonance imaging (MRI), cerebrospinal fluid analysis, and nerve conduction tests (F-wave and H-reflex) at a general hospital. Treatment involved immunoglobulin and plasmapheresis exchange before transferring to the National Rehabilitation Hospital for inpatient care one week later. The general clinical characteristics are presented in Table 1.
Cognitive function assessed using the Korean version of the mini-mental state examination (MMSE-K) was normal, with a score of 28. The medical research council (MRC) muscle strength test showed grade 4 strength for all joints, while the modified medical research council (mMRC) dyspnea scale indicated a score of 1, representing shortness of breath during brisk walking on level ground or climbing a slight hill. Functional ambulation categories (FAC) were rated at 4. The participant engaged in a Living Lab exercise program as part of a research project to evaluate intelligent rehabilitation sports at the National Rehabilitation Center under the Ministry of Health and Welfare. The purpose, potential benefits, and risks of the study were fully explained to the participant, guardians, and physicians, and informed consent was obtained. Ethical approval for the study was granted by the National Rehabilitation Center’s Institutional Review Board (NRC-2022-06-053).

Experimental procedure

Participants underwent a familiarization phase one week prior to the study. The experimental period spanned four weeks, with sessions conducted three times per week, resulting in a total of 12 RGT sessions. Measurements of basic physical strength, isometric muscle strength, and gait ability were conducted at three time points: pre-, mid-, and post-exercise.

RGT

The study utilized an end-effector-type robotic device (HUCA-GAS100, HUCA SYSTEM, Republic of Korea; Figure 1). The rotation of the crank, based on the rocker-crank mechanism, guided the movement of the coupler link to mimic the trajectory of the ankle joint. This design synchronized pelvic, knee, and ankle movements to simulate a natural walking pattern, with adjustable stride length based on crank dimensions. The device offered two walking modes: automatic (100% electric motor-powered) and manual (voluntary walking by participants). Data on speed, stride length, duration, and distance were recorded on a connected PC and displayed in real time on a monitor for evaluation.

Gait training protocol

A schematic representation of the RGT protocol is provided in Figure 2. Prior to initiating the RGT, participants performed a 5-minute warm-up at 30-35% of their heart rate reserve (HRR). The target heart rate (%HRR) was calculated using the formula: (HRR × intensity) + resting heart rate [14]. The RGT protocol was adapted from the method described by Lee et al. [12]. Phase 1 (0-2 weeks) involved RGT at 70-75% of the target heart rate (THR) based on %HRR, with a 1:1.5 exercise-to-recovery ratio, lasting approximately 22 minutes per session. Phase 2 (3-4 weeks) consisted of approximately 27 minutes of RGT at 80-85% of THR using %HRR with a 1:1 exercise-to-recovery ratio. Participants were verbally encouraged to achieve their target heart rate during exercise. Heart rate (Polar OH1; Kempele, Finland) and exertion levels (measured using the modified Borg scale) were recorded at the end of each set.

Measurement and assessment

Body composition was assessed using bioimpedance analysis (BWA 2.0, InBody, Republic of Korea). Participants lay on an examination bed in light clothing, ensuring at least 8 hours of fasting, abstinence from exercise, alcohol, and caffeine. Parameters measured included body weight, fat mass, body fat percentage, and muscle mass.
Basic physical fitness was evaluated using the short physical performance battery (SPPB), which included balance tests, the sit-to-stand test, the 4-meter walk, and the timed up and go (TUG) test. For the SPPB balance test, participants were instructed to balance their right heel in front of their left toes, performing the three most challenging steps of the test. The maximum balance time was capped at 10 seconds.
Isometric muscle strength was assessed for the pelvic and thigh muscles (Powrlink Aerobic Fitness GmbH, Germany). Hip extensor and flexor strengths were measured with participants standing upright, holding onto a fixed structure with both hands, keeping the knee fully extended and the ankle joint neutral. An ankle strap was secured and connected to the measuring device via a straight-aligned rope. Femoral extensor and flexor strengths were evaluated with participants seated in a chair with a backrest, knees bent at 90º, and the ankle strap connected to the measuring device in a straight alignment. Each measurement involved an initial signal prompting isometric muscle contraction for approximately 3 seconds, with two left-right measurements recorded for both extensors and flexors.
Gait abilities were assessed using data stored on the gait robot’s PC during the RGT sessions, evaluating stride, speed, and step count.
Quality of life was assessed using the Korean version of the modified barthel index (K-MBI), exercise self-efficacy (ESE), and Korean version of falls efficacy scale-international (KFES-I), focusing on behaviors related to daily living.

RESULTS

Body composition

Changes in body composition are summarized in Table 2. Body weight, BMI, and body fat percentage increased by 1.2%, 0.9%, and 2.7%, respectively. Conversely, body fat and visceral fat decreased by 5.4% and 3.7%, respectively, while muscle mass increased by 3.3%.

Basal physical fitness

Regarding basal physical fitness, no changes were observed in balance or sit-to-stand ability. However, 4-meter walk and TUG test scores improved by 6.8% and 7.1%, respectively.
Isometric muscle strength in the lower extremities showed significant improvements across all variables, as illustrated in Figure 3.
The results for gait ability are depicted in Figure 2. Stride length increased by 11.4% after the intervention. Additionally, walking speed and the number of steps per minute increased substantially, reaching 157.1% and 133.3% of baseline values, respectively.

Quality of life

Regarding quality-of-life indices, the K-MBI and FES-I showed minimal changes. In contrast, the ESE exhibited a 29.1% increase after the intervention compared with baseline.

DISCUSSION

This study is the first to utilize a robotic gait device for interval-style training in patients with GBS. The maximum heart rate was maintained at 141 bpm, which likely increased the total fat oxidation rate. High-intensity interval training (HIIT) is known to effectively reduce visceral abdominal fat. This effect can be attributed to an increase in excess post-exercise oxygen consumption (EPOC) and the activation of fat-oxidizing enzymes following exercise [15]. Consequently, it is anticipated that RGT in this study similarly enhanced fat oxidation and improved the metabolic rate.
Muscle mass increased by 3.3% (27.5 kg vs. 28.4 kg). According to Petré et al. [16], HIIT may be more effective than continuous medium-intensity exercise in promoting muscle hypertrophy and strength. This is because HIIT elevates mechanical tension in the muscles, thereby activating the mTOR pathway. Activation of mTOR promotes the phosphorylation of p70S6K and 4E-BP1, enhancing muscle protein synthesis. Although the exercise was aerobic, high-intensity interval training over a relatively short period appears to have stimulated muscle protein synthesis. The isometric muscle strength measurements yielded encouraging results, with significant increases observed across all joints and items. Particularly, affected muscles demonstrated substantial gains in isometric strength, with the greatest improvement observed in hip flexion (HF_Affected), which increased by 69.4%. This finding suggests that interval training using a gait robot promotes neuromuscular adaptations. Yu et al. [17] reported that HIIT selectively mobilizes and induces hypertrophy of Type II muscle fibers by lowering the kinetic unit mobilization threshold, increasing firing frequency, and improving neuromuscular junction efficiency. Additionally, in patients with GBS, such training may promote peripheral nerve remyelination and accelerate axonal regeneration, as suggested by Fletcher et al. [18].
As shown in Figure 4, walking speed improved remarkably by 157.1% (from 0.7 km/h to 1.8 km/h), and the number of steps per minute increased by 133.3% (from 33.0 to 77.0). These improvements can be attributed to the principles of motor learning and neuroplasticity. A recent study demonstrated that repetitive and intensive training with a walking robot activates the central pattern generator (CPG) and induces corticospinal reorganization [19]. Robot-assisted gait training strengthens functional connectivity between the motor cortex and spinal cord, facilitating the relearning of gait patterns. Furthermore, during the high-intensity interval training phase, greater motor unit recruitment likely enhanced muscle strength and coordination, improving gait ability. A study by Shen et al. [20] using functional near-infrared spectroscopy (fNIRS) supported these findings, showing increased activation of movement-related brain regions during HIIT. A 7.1% improvement in the TUG test indicates better dynamic balance and functional mobility. Interval training may enhance vestibular and proprioceptive system integration. Naro et al. [21] demonstrated that repetitive gait training promotes motor learning in the cerebellum, increasing gait automatization and efficiency. Functional magnetic resonance imaging (fMRI) studies have shown enhanced cerebellar functional connectivity following gait training. Therefore, as demonstrated in this study, interval training using RGT could be beneficial for patients with neurological and muscular disorders.
ESE increased by 29.1%. This finding suggests that successful exercise stimulates the secretion of neurotransmitters such as dopamine and serotonin, creating a positive feedback loop. Numerous studies have reported that physical activity and exercise influence circulating levels of these neurotransmitters and serve as effective non-drug therapies for reducing anxiety and depression [22,23]. Martinez-Diaz et al. [24] reported significant increases in blood brain-derived neurotrophic factor (BDNF) levels and working memory capacity following HIIT (10 bouts × 1 min) in 25 male college students. This suggests that the acute stress of HIIT induces notable responses in BDNF and cortisol, enhancing working memory capacity. However, the relationship between cognitive and neurophysiological markers during high-intensity exercise requires further clarification. Additionally, a systematic review and meta-analysis by Wilke et al. [25] demonstrated that exercise-induced increases in BDNF promote neuroplasticity, enhance cognitive function, and improve overall quality of life. Notably, they emphasized that HIIT elicits greater BDNF release compared to continuous moderate-intensity exercise. Shah et al. [7] found that supervised strength, aerobic, and gait training over 12 weeks in patients with GBS improved gait, activities of daily living (Barthel Index), quality of life, and fatigue more effectively than unsupervised voluntary exercise at home. These findings suggest that supervised exercise is a more advantageous rehabilitation approach for patients with GBS compared to unsupervised exercise. However, further research on acute and chronic GBS is needed.
In summary, this case report suggests that 4 weeks of intensive robotic gait interval training may effectively restore physical function and enhance quality of life in patients with GBS. Significant improvements in lower limb muscle strength, gait ability, and ESE can be attributed to neuromuscular adaptation, motor learning, and neuroplasticity. However, as this is a single case study, the generalizability of the findings is limited. Future randomized controlled trials involving a larger cohort of patients with GBS, longterm follow-up assessments, and comparative studies of varying intervention durations and intensities are warranted.

Acknowledgments

This study was supported by the Translational R&D Program on Smart Rehabilitation Exercises (#TRSRE-CO01), National Rehabilitation Center, Ministry of Health and Welfare, Republic of Korea.

Figure 1.

Gait robotic assisted equipment.

Front view (A). Training with the equipment (B).
pan-2024-0027f1.jpg
Figure 2.

RGT protocol.

Total 4 weeks, Phase 1 was performed for the first 2 weeks, Phase 2 was performed for the remaining 2 weeks.
pan-2024-0027f2.jpg
Figure 3.

Changes in isometric muscle strength at Unaffected and Affected.

Comparison of Knee extension in Unaffected and Affected (A). Knee flexion (B). Hip extension (C). Hip flexion (D). Percentage changes in isometric strength (E). Black line and black bar expresses Unaffected, Dot line and white bar expresses Affected. KE: knee extension. KF: knee flexion. HE: hip extension. HF: hip flexion.
pan-2024-0027f3.jpg
Figure 4.

Changes in gait ability.

Gait speed (A). Steps per minute (B). Percentage changes in gait abilities(Speed & Steps) (C).
pan-2024-0027f4.jpg
Figure 5.

Changes in heart rate (HR) and exercise rating of perceived exertion (RPE) during RGT.

Red box expressed mean HRmax and blue line expressed RPE.
pan-2024-0027f5.jpg
Table 1.
Clinical characteristics of the paticipant
Age (yrs) Height (cm) Weight (kg) MMSE-K (score) MRC (scale) mMRC Dyspnea(scale) FAC (grade)
35 176.5 67.5 30 4 1 4
Table 2.
Changes in body composition
Var. Pre Post △%
Body weight (kg) 67.5 68.3 1.2
BMI (kg/m2) 21.7 21.9 0.9
Body fat (%) 22.4 21.2 -5.4
Visceral fat (%) 0.81 0.78 -3.7
Muscle mass (kg) 27.5 28.4 3.3

△%: Difference of Pre vs Post.

Table 3.
Changes in basal fitness
Var. Pre Mid Post △%
Balance (s) 10.0 10.0 10.0 0.0
Sit-to-stand (s) 5.4 5.5 6.8 2.2
4m walk (s) 3.2 3.3 3.0 -6.8
TUG (s) 5.4 5.5 5.0 -7.1

△%: Difference of Pre vs Post.

Table 4.
Changes in quality of life
Var. Pre Post △%
K-MBI 97 98 1.0
ESE 790 1020 29.1
KFES-I 22 23 4.5

△%: Difference of Pre vs Post. K-MBI: Korean Version of Modified Barthel Index; ESE: exercise self-efficacy; KFES-I: Korean version of falls efficacy scale-international.

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