Abstract
Introduction
To determine whether an individual with C4 incomplete spinal cord injury (SCI) with limited hand functions can effectively operate a powered exoskeleton (Ekso) to improve parameters of physical activity as determined by swing-time, up-time, walk-time, and total number of steps.
Case presentation
A 21-year-old male with incomplete chronic (>1 year postinjury) SCI C4, participated in a clinical exoskeleton program to determine the feasibility of standing up and walking with limited hand functions. The participant was invited to attend 3 sessions including fitting, familiarization and gait training separated by one week intervals. Walk-time, up-time and total number of steps were measured during each training session. A complete body composition assessment using dual-energy X-ray absorptiometry (DXA) of the spine, knees and hips was conducted before training.
Using a platform walker and cuffing both hands, the participant managed to stand up and ambulate successfully using exoskeleton. Over the course of 2 weeks, maximum walk-time increased from 7 to 17 min and number of steps increased from 83 to 589 steps. The total up-time increased from 19 to 31 min.
Discussion
Exoskeleton training may be a safe and feasible approach for persons with higher levels of SCI after effectively providing a supportive assistive device for weight shifting. The current case study demonstrates the use of a powered exoskeleton for an individual with high level tetraplegia (C4 and above) and limited hand functions.
Introduction
Individuals with tetraplegia account for over 50% of the entire spinal cord injury (SCI) population and over 20% have neurological injuries above C4 [1]. A recent quasi-experimental study was conducted to assess the safety and feasibility of exoskeleton gait-training in 52 individuals recruited from nine European rehabilitation centers [2]. After 8 weeks of exoskeleton training, improvements were noted in gait characteristics and no serious adverse events were observed in all subgroups. However, of the 52 subjects enrolled, no participants had a level of injury above C5. Because the current technology is not approved for those with higher levels of injury, this subsequently results in excluding over 20% of the SCI population from participating in exoskeleton locomotor training. Exoskeleton gait training may provide health benefits by promoting level of physical activity, improving cardiovascular parameters and quality of life after SCI [3].
Physical impairment and limited mobility often result in survivors restricted to lifelong wheelchair status and at high risk of developing secondary chronic diseases [4–8]. These comorbidities may include psychosomatic, metabolic and cardiovascular health consequences, as well as increased socioeconomic burden after SCI [4–8]. The economic burden for persons with SCI and their families is increasing at an alarming rate, along with decreasing mortality as a result of medical advancement [9]. Previous interventions have attempted to improve locomotion and mobility using long-leg braces, hip-knee-ankle foot orthosis, Parastep systems powered by functional electrical stimulation, bodyweight-supported treadmill training and robotic treadmills [10–17]. Locomotor training has been associated with improved upper and lower body motor-strength, functional activities, psychological arousal, bowel sensation and even improvements in blood-glucose regulation [18–21]. However, the main pitfall of these rehabilitation interventions is that they often require extensive energy demands and are likely to lead to fatigue for individuals with SCI. This may prevent individuals from meeting the recommended guidelines for improving physical activity.
The Office of Disease Prevention and Health Promotion (U.S. Department of Health and Human Services) recommends at least 150 min (2 h and 30 min) a week of moderate-intensity, or 75 min (1 h and 15 min) a week of vigorous-intensity aerobic activity to reduce cardio-metabolic risk factors in the general population [22]. Studies have shown that greater daily leisure-time physical activity is associated with lower risks of chronic disease in adults with SCI [23–26]. Compared to the general population, two-thirds of the SCI population is considered either overweight or obese [27]. Recently released ISCOS guidelines recommended that persons with SCI should engage in at least 20 min of moderate to vigorous intensity aerobic exercise three times per week to improve cardio-respiratory fitness [28, 29].
We have previously demonstrated that robotic exoskeleton training may improve parameters of physical activity in persons with SCI. Over the course of 10 to 15 weeks, participants walked once weekly using a powered exoskeleton (Ekso) for approximately 1 h. The report demonstrated improvements in maximum walking time, total number of steps, energy expenditure and oxygen uptake during exoskeleton training. A modest reduction in fat mass was observed in one participant following training [3]. However, all participants were capable of using assistive devices (walker or Canadian crutches) to initiate weight shifting. Failure to initiate weight shifting may preclude exoskeleton ambulation, which may be the case in persons with impaired hand functions.
The current case report demonstrated the use of powered exoskeleton in a male individual with chronic (>1 year postinjury) C4 incomplete SCI with impaired grip strength or inability to functionally extend his elbows. The purpose of the current case report is to document the meticulous screening process, device setup and overall feasibility of exoskeleton training in this unique subset of the SCI population.
Case presentation
The study was conducted as part of a clinical rehabilitation program. The data was analyzed retrospectively to determine whether an individual with higher level SCI and limited hand functions could effectively operate a powered exoskeleton. The current case report was approved by the local ethical committee at the Hunter Holmes McGuire VA Medical Center. All study procedures were conducted in accordance with the declaration of Helsinki.
An Ekso-GT powered exoskeleton was used to provide locomotion to an individual (male; age: 21 years; height: 1.86 m; weight: 81.6 kg; BMI: 23.7 kg/m2) with chronic C4 AIS B (i.e. intact sacral sparing) tetraplegia. The classification was determined using the ASIA/ISCoS International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI). The sensory level was classified at C4 and motor level at C5 on both the right and left sides. For light touch and pin-prick sensation, normal score was detected up to C4 (score = 2), altered sensation from C5 to T1 (score = 1) and absent sensation from T2 to S4-5 (score = 0). Total light touch sensory scores were 10 and 12 and pin-prick sensation was 10 and 6 out of 56 for right and left sides, respectively. The sacral sparing was determined by examining the perianal sensation (S4-5) and deep anal pressure. The participant was found to have a deep anal pressure and his perianal sensation was scored zero on both sides. A detailed description of the robotic device was previously published elsewhere [30, 31].
Prior to enrollment, written clearance was provided by the participant’s medical doctor to ensure the subject was safe to engage in the exoskeleton program. Dual energy x-ray absorptiometry (DXA) scans were conducted to assess bone mineral content (BMC) of total body, knees and hips. Total T-scores less than 2.5 SD or BMD less than 0.6 g/cm2 at the knee joints would result in elimination from the program. The participant underwent measurements of body weight and height as previously described [30, 31]. The skin was also checked for any marks or redness prior to enrollment and immediately after each training session to protect against development of pressure sores from exoskeleton training. Moreover, his primary caregiver was instructed to provide any immediate feedback about any changes in his skin coloration.
Familiarization session
The participant was invited back to the McGuire VA Medical Center to conduct a familiarization session. A patient evaluation was conducted, including an assessment of the participant’s grip strength to determine if any additional assistive devices were necessary. The patient’s evaluation included upper and lower extremity ROM, strength and spasticity using the Modified Ashworth Scale (Table 1). Based on the assessment and the participants limited grip strength, a platform attachment was added to the Ekso walker and the hands were cuffed to the handles of the walker (Fig. 1). The participant and his companion had the opportunity to ask questions to better understand the benefits of exoskeleton gait-training after SCI.
Table 1.
Right | Left | |
---|---|---|
Passive range of motion | ||
Shoulder Ext. | >50° | 25° |
Elbow Ext. | >40° | F-ROM |
Wrist Ext. | F-ROM | F-ROM |
Hip Flex. | F-ROM | F-ROM |
Hip Ext. | F-ROM | F-ROM |
Knee Flex. | F-ROM | F-ROM |
Knee Ext. | F-ROM | F-ROM |
Ankle Plantar Flex. | F-ROM | F-ROM |
Ankle DF w/Knee Ext. | F-ROM | >20° |
Ankle DF w/Knee Flex. | >5° | F-ROM |
Upper extremity strength | ||
Shoulder Flex. | 3 | 2 |
Shoulder Ext. | 3 | 2 |
Elbow Flex. | 3 | 3 |
Elbow Ext. | 0 | 2 |
Wrist Ext. | 1 | 1 |
Gross Grip | 0 | 0 |
Lower extremity strength | ||
Hip Flex. | 0 | 0 |
Hip Ext. | 0 | 0 |
Hip abduction | 0 | 0 |
Knee Ext. | 0 | 0 |
Ankle dorsiflexion | 0 | 0 |
Ankle plantar flexion | 0 | 0 |
Spasticity | ||
Elbow Flex./Ext. | 1+ | 1+ |
Wrist Flex./Ext. | 1+ | 1+ |
Hip Flex./Ext. | 1+ | 1+ |
Hip adductor | 1+ | 1+ |
Knee Flex./Ext. | 1+ | 1+ |
Ankle plantar Flex. | 1+ | 1+ |
Ankle invertor | 1+ | 1+ |
F-ROM functional range of motion
Fitting
Body measurements were taken to properly fit the subject in the device, including the following: hip width (distance between two greater trochanters), upper leg length (greater trochanter to the lateral aspect of joint line of the knee joint) and lower leg length (lateral aspect of joint line of the knee joint to the bottom of the foot) were measured to appropriately adjust the width and legs of the robotic suit. Ankle stiffness of the Ekso unit was also adjusted based on completeness of injury and the strength of the anterior tibial muscle groups (lower extremity muscle score = 0; Table 1).
Gait-training sessions
The participant started his first training session standing and walking in the device. Blood pressure and heart rate were monitored prior to and following each training session, and the participant was instructed to communicate any discomfort during training. The participant was transferred from his power wheelchair and into the robotic device using a mobile ceiling lift. The participant was then properly seated on top of the posterior-sling to facilitate standing, especially with limited arm strength. An assistant held the posterior sling before, during and directly after transfer to ensure appropriate standing and the participant’s hips and trunk were properly aligned with the hips embedded all the way in the device, while carefully adjusting the robotic leg to ensure a tight and secure fitting.
A research assistant fit the participant’s legs into the device starting with the shoe-supports (distally) and moving towards the trunk (proximally). Each leg strap was fastened securely but not overly-tightened to prevent impairments in circulation or episodes of autonomic dysreflexia or skin irritation. After each leg was secured, the abdominal support was attached to the trunk and shoulder straps fastened. The platform walker (adjusted for participant’s height) was then positioned in front of the participant for standing.
The Ekso unit offers a gait training mode with a range of features. For the initial session, we used the “first-step mode” in which steps are manually controlled by the therapist, mainly to allow the participant to focus solely on maintenance of balance and posture and moving the platform walker forward with limited arm strength. An assistant was allowed to walk in front of the participant to control and pace the movement of the walker during exoskeleton ambulation. Before standing, the software was adjusted based on the recommendation from the manufacturer and to ensure a viable walking pattern/speed (Table 2). The length of the session and progression in walking time was based on subject’s performance and his willingness to continue. After each training session, the participant’s thighs and lower back were checked for possible skin irritation that may result from shear stress during exoskeleton ambulation. As a precaution, a fabric cushion was placed against the sacral area to avoid any skin irritation.
Table 2.
Step length (cm) | Step height (cm) | Swing time (seconds) | Stand time (seconds) | Knee flexion angle (degrees) | Hip flexion angles (degrees) | Assistance |
---|---|---|---|---|---|---|
12.5 | 0.8 | 1.2 | 3.5 | 0 | 0 | Maximum |
The second gait-training session was conducted using the previous protocol, however, the “pro-step mode” was applied, which allows the stepping pattern of the robotic suit to be determined by the individual’s lateral and forward weight shifting. In other words, to initiate a right step the participant must lean left and forward signaling the exoskeleton to right step and vice versa. Blood pressure (BP) and heart rate (HR) were measured before and after walking. Following each training session, swing-time (s), stand-time (s), walk-time (min), stand up time (min), and number of steps were recorded.
Result
The subject was a 21-year-old male having a C4 AIS B SCI since 2013 and used a power wheelchair for mobility. During the initial familiarization session, no steps were taken. The participant used a rolling platform walker for each of the two gait-training sessions. During the initial gait-training session using “first step mode” the subject walked a total of 83 steps for a total walk-time of 7 min and up-time of 19 min. Before starting the first training session, BP and HR were 111/77 mmHg and 69 bpm; after training BP and HR were 117/74 mmHg and 74 bpm, respectively. The participant reported minor irritation and redness of the lower back; therefore, a cushion was placed between the sacral region and exoskeleton unit for future sessions. During the following session using “pro step mode”, walk-time, up-time and number of steps were 17 min, 31 min and 589 steps, respectively. Total up-time and walk-time increased by 12 and 10 min from the first to final sessions. The subject initiated over 500 more steps during his final session. Swing time and stand time were 1.2 and 3.5 s, respectively. BP and HR remained within safe range and well-recovered (Pre: 88/58 mmHg and 82 bpm; Post: 122/82 mmHg and 60 bpm) following the second exoskeleton training session.
Discussion
The National Spinal Cord Injury Statistical Center (NSCISC) estimates there are approximately 282,000 persons currently living in the United States with SCI with an annual incidence of 17,000 new cases each year. Those with tetraplegia account for over 50% of persons with SCI [1]. Traumatic SCI often results in either a complete inability or significant limitation in the ability to walk, requiring approximately 70% of persons with SCI to use a power or manual wheelchair as their primary mode of mobility [32]. This greatly reduces the ability and likelihood of engaging in physical activity, which is an independent risk factor for several cardio-metabolic conditions including carbohydrate intolerance [33, 34], insulin resistance [35, 36], lipid abnormalities [37, 38], and cardiovascular disease [39]. In fact, prolonged sitting time is an independent cardiovascular risk factor and associated with heightened mortality [40].
Tetraplegic individuals with higher levels of injuries (C1-C7) have been shown to have lower lean mass, greater fat mass and reduced bone mineral content in the upper and lower extremities, as compared to persons with paraplegia [41, 42]. These differences in body composition highlight the need for specific exercise interventions designed to increase the level of physical activity in persons with higher levels of SCI. The current case report provides initial evidence that persons with higher levels of cervical SCI may safely operate powered exoskeletons with the assistance of trained staff and additional support mechanisms (i.e. platform walker and hand straps).
The participant walked 83 and 589 steps during the first and second gait-training sessions. Though this is a fraction of the daily recommended 10,000 steps suggested to prevent cardiovascular disease [43], the primary focus of this report was to safely fit the participant in the device, accommodate his limited grip strength and train the subject on how to shift his weight effectively to initiate stepping and maintain balance in the upright posture. Exoskeleton gait training once weekly for 15 weeks resulted in increasing the number of steps from 59 to 2284 in subjects with complete and incomplete-SCI (C5-T4) [3]. It is unrealistic for persons with motor complete SCI (i.e. AIS A or B) to attain the recommended steps per day without increasing the speed of exoskeleton ambulation. The gait speed must be adjusted according to the subjects’ performance and ability to weight shift while maintaining balance. Ensuring postural balance is of paramount importance when training individuals with higher level of injuries because of limited trunk control [44]. Considering a swing-time of 1.2 s (~0.19 m/sec), a person may need to walk approximately 5 h per day to meet the recommended guidelines. This may be unlikely for those with higher level injuries, newly injured or those with limited cardiovascular capacity. Therefore, the number of steps may not be an effective measure of treatment when using exoskeleton devices; instead, oxygen uptake, energy expenditure and/or body composition assessments may provide future insights on the effectiveness exoskeleton training to combat cardiometabolic diseases after SCI.
Studies have shown improvements on spasticity, level of physical activity, bowel management and quality of life after SCI; [3, 45–48] however, it is still unclear whether this emerging technology offers any benefits beyond the existing standard of care, such as a wheelchair or standing frame. Certain aspects of exoskeletons may need to be improved to ensure more individuals can be qualified for training. Of the major brands available in the U.S., the weight of devices ranges from 26-66 lbs. which may be difficulty for some individuals with SCI to carry or lift for transportation compared to lighter wheelchairs [47–49]. Future designs should focus on implementing highly durable materials that provide less weight and allow faster speed without compromising balance.
Our findings suggest that persons with higher level cervical injuries and limited hand functions may have the potential to operate an exoskeleton, previously considered only for those with C6 and below. Studies using this technology have opted to exclude those with higher level injuries above C5, excluding over 20% of the SCI population from participating in exoskeleton locomotor training. This is likely due to the perceived risks of injury to the participant; however, we believe screening criteria (i.e. bone mineral content, ROM and medical history) should serve as an indicator of eligibility in training programs, independent of the level of injury. Future studies may benefit by being more inclusive to persons with higher level of injuries, given that the necessary trained staff and assistive devices are available.
Conclusion
Exoskeleton training may be a safe and feasible approach for persons with higher levels of SCI after effectively providing supportive assistive device to allow appropriate weight shifting. The current case study demonstrates feasibility of limited use of a powered exoskeleton in an individual with high tetraplegia (C4) and limited hand functions. Studying the effects of training on individuals with higher level injuries will provide future insights on the full applicability of this technology in persons with tetraplegia.
Acknowledgements
We would like to thank the participant who devoted the time and effort to participate in the case study. We would like to thank Hunter Holmes McGuire Research Institute and Spinal Cord Injury Services and Disorders for providing the environment to conduct clinical human research trials. Ashraf Gorgey is currently supported by the Department of Veteran Affairs, Veteran Health Administration, Rehabilitation Research and Development Service (B7867-W) and DoD-CDRMP (W81XWH-14-SCIRP-CTA).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
References
- 1.National Spinal Cord Injury Statistical Center. Complete public version of the 2016 Annual Statistics Report for the Spinal Cord Injury Model Systems. https://www.nscisc.uab.edu/Public/2016%20Annual%20Report%20-%20Complete%20Public%20Version.pdf, Accessed 23 Jan 2018
- 2.Baunsgaard CB, Nissen UV, Brust AK, Frotzler A, Ribeill C, Kalke YB, et al. Gait training after spinal cord injury: safet, feasibility and gait function following 8 weeks of training with the exoskeletons from Ekso Bionics. Spinal Cord. 2018;56:106. doi: 10.1038/s41393-017-0013-7. [DOI] [PubMed] [Google Scholar]
- 3.Gorgey AS, Wade R, Sumrell R, Villadelgado L, Khalil RE, Lavis T. Exoskeleton training may improve level of physical activity after spinal cord injury: a case series. Top Spinal Cord Inj Rehabil. 2017;23:245–55. doi: 10.1310/sci16-00025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kocina P. Body composition of spinal cord injury adults. Sports Med. 1997;23:48–60. doi: 10.2165/00007256-199723010-00005. [DOI] [PubMed] [Google Scholar]
- 5.Bauman WA, Spungen AM. Carbohydrate and lipid metabolism in chronic spinal cord injury. J Spinal Cord Med. 2001;24:266–77. doi: 10.1080/10790268.2001.11753584. [DOI] [PubMed] [Google Scholar]
- 6.Bauman WA, Spungen AM. Coronary heart disease in individuals with spinal cord injury: assessment of risk factors. Spinal Cord. 2008;46:466–76. doi: 10.1038/sj.sc.3102161. [DOI] [PubMed] [Google Scholar]
- 7.Dolbow DR, Gorgey AS, Daniels JA, Adler RA, Moore JR, Gater DR., Jr. The effects of spinal cord injury and exercise on bone mass: a literature review. Spinal Cord. 2012;50:170–1. doi: 10.1038/sc.2011.115. [DOI] [PubMed] [Google Scholar]
- 8.Gorgey AS, Dolbow DR, Dolbow JD, Khalil RK, Castillo C, Gater DR. Effects of spinal cord injury on body composition and metabolic profile-part I. J Spinal Cord Med. 2014;37:693–702. doi: 10.1179/2045772314Y.0000000245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Strauss D, DeVivo M, Shavelle R, Brooks J, Paculdo D. Economic factors and longevity in spinal cord injury: a reappraisal. Arch Phys Med Rehabil. 2008;89:572–4. doi: 10.1016/j.apmr.2007.11.025. [DOI] [PubMed] [Google Scholar]
- 10.Dobkin B, Apple D, Barbeau H, Basso M, Behrman A, Deforge D, et al. Weight-supported treadmill vs over-ground training for walking after acute incomplete SCI. Neurology. 2006;66:484–93. doi: 10.1212/01.wnl.0000202600.72018.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Giangregorio LM, Hicks AL, Webber CE, Phillips SM, Craven BC, Bugaresti JM, et al. Body weight supported treadmill training in acute spinal cord injury: impact on muscle and bone. Spinal Cord. 2005;43:649–57. doi: 10.1038/sj.sc.3101774. [DOI] [PubMed] [Google Scholar]
- 12.Hornby TG, Zemon DH, Campbell D. Robotic-assisted, body-weight-supported treadmill training in individuals following motor incomplete spinal cord injury. Phys Ther. 2005;85:52–66. [PubMed] [Google Scholar]
- 13.Maxwell JL, Granat MH, Baardman G, Hermens HJ. Demand for and use of functional electrical stimulation systems and conventional orthoses in the spinal lesioned community of the UK. Artif Organs. 1999;23:410–2. doi: 10.1046/j.1525-1594.1999.06361.x. [DOI] [PubMed] [Google Scholar]
- 14.Ambrosia RD, Solomonow M, Baratta R. Current status of walking orthosis for thoracic paraplegics. Iowa Orthop J. 1995;15:174–81. [PMC free article] [PubMed] [Google Scholar]
- 15.Gorgey AS, Poarch H, Miller J, Castillo T, Gater DR. Locomotor and resistance training restore walking in an elderly person with a chronic incomplete spinal cord injury. NeuroRehabilitation. 2010;26:127–33. doi: 10.3233/NRE-2010-0544. [DOI] [PubMed] [Google Scholar]
- 16.Gorgey AS, Poarch H, Harnish C, Miller JM, Dolbow D, Gater DR. Acute effects of locomotor training on neuromuscular and metabolic profile after incomplete spinal cord injury. NeuroRehabilitation. 2011;29:79–83. doi: 10.3233/NRE-2011-0680. [DOI] [PubMed] [Google Scholar]
- 17.Fineberg DB, Asselin P, Harel NY, Agranova-Breyter I, Kornfeld SD, Bauman WA, et al. Vertical ground reaction force-based analysis of powered exoskeleton-assisted walking in persons with motor-complete paraplegia. J Spinal Cord Med. 2013;36:313–21. doi: 10.1179/2045772313Y.0000000126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Morrison SA, Lorenz D, Eskay CP, Forrest GF, Basso DM. Longitudinal recovery and reduced costs after 120 sessions of locomotor training for motor incomplete spinal cord injury. Arch Phys Med Rehabil. 2017;S0003-9993:31285–6. doi: 10.1016/j.apmr.2017.10.003. [DOI] [PubMed] [Google Scholar]
- 19.Chilibeck PD, Guertin PA. Locomotor training and factors associated with blood glucose regulation after spinal cord injury. Curr Pharm Des. 2017;23:1834–44. doi: 10.2174/1381612822666161216120546. [DOI] [PubMed] [Google Scholar]
- 20.Lam T, Pauhl K, Ferguson A, Malik R, Krassioukov A, Eng JJ. Training with robot-applied resistance in people with motor-incomplete spinal cord injury: Pilot study. J Rehabil Res Dev. 2015;52:113–29. doi: 10.1682/JRRD.2014.03.0090. [DOI] [PubMed] [Google Scholar]
- 21.Aach M, Cruciger O, Sczesny-Kaiser M, Höffken O, Meindl RCh, Tegenthoff M, et al. Voluntary driven exoskeleton as a new tool for rehabilitation in chronic spinal cord injury: a pilot study. Spine J. 2014;14:2847–53. doi: 10.1016/j.spinee.2014.03.042. [DOI] [PubMed] [Google Scholar]
- 22.Office of Disease Prevention and Health Promotion (http://odphpinfo@hhs.gov). Office of the Assistant Secretary for Health, Office of the Secretary, U.S. Department of Health and Human Services; 2017.
- 23.Buchholz AC, McGillivray CF, Pencharz PB. Physical activity levels are low in free-living adults with chronic paraplegia. Obes Res. 2003;11:563–70. doi: 10.1038/oby.2003.79. [DOI] [PubMed] [Google Scholar]
- 24.Buchholz AC, Martin Ginis KA, Bray SR, Craven BC, Hicks AL, Hayes KC, et al. Greater daily leisure time physical activity is associated with lower chronic disease risk in adults with spinal cord injury. Appl Physiol Nutr Metab. 2009;34:640–7. doi: 10.1139/H09-050. [DOI] [PubMed] [Google Scholar]
- 25.Hicks AL, Martin Ginis KA, Pelletier CA, Ditor DS, Foulon B, Wolfe DL. The effects of exercise training on physical capacity, strength, body composition and functional performance among adults with spinal cord injury: a systematic review. Spinal Cord. 2011;49:1103–27. doi: 10.1038/sc.2011.62. [DOI] [PubMed] [Google Scholar]
- 26.Hetz SP, Latimer AE, Buchholz AC, Martin Ginis KA, SHAPE-SCI Research Group. Increased participation in activities of daily living is associated with lower cholesterol levels in people with spinal cord injury. Arch Phys Med Rehabil. 2009;90:1755–9. doi: 10.1016/j.apmr.2009.04.021. [DOI] [PubMed] [Google Scholar]
- 27.Gorgey AS, Gater DR., Jr. Prevalence of obesity after spinal cord injury. Top Spinal Cord Inj Rehabil. 2007;12:1–7. doi: 10.1310/sci1204-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Martin Ginis KA, van der Scheer JW, Latimer-Cheung AE, Barrow A, Bourne C, Carruthers P, et al. Evidence-based scientific exercise guidelines for adults with spinal cord injury: an update and a new guideline. Spinal Cord. 2018;56:308–21. doi: 10.1038/s41393-017-0017-3. [DOI] [PubMed] [Google Scholar]
- 29.Fisher JA, McNelis MA, Gorgey AS, Dolbow DR, Goetz LL. Does upper extremity training influence body composition after spinal cord injury? Aging Dis. 2015;6:271–81. doi: 10.14336/AD.2014.0912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Strausser KA, Kazerooni H. The development and testing of a human machine interface for a mobile medical exoskeleton. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2011;4911e6.
- 31.Strausser KA, Swift TA, Zoss AB, Kazerooni H, Bennett BC. Mobile exoskeleton for spinal cord injury: development and testing. Arlington: ASME; 2011. 419e25.
- 32.Dryden DM, Saunders LD, Jacobs P, Schopflocher DP, Rowe BH, May LA, et al. Direct health care costs after traumatic spinal cord injury. Trauma. 2005;59:464–7. doi: 10.1097/01.ta.0000174732.90517.df. [DOI] [PubMed] [Google Scholar]
- 33.Gorgey AS, Caudill C, Sistrun S, Khalil RE, Gill R, Castillo T, et al. Frequency of dietary recalls, nutritional assessment, and body composition assessment in men with chronic spinal cord injury. Arch Phys Med Rehabil. 2015;96:1646–53. doi: 10.1016/j.apmr.2015.05.013. [DOI] [PubMed] [Google Scholar]
- 34.Gorgey AS, Gater DR. Regional and relative adiposity patterns in relation to carbohydrate and lipid metabolism in men with spinal cord injury. Appl Physiol Nutr Metab. 2011;36:107–14. doi: 10.1139/H10-091. [DOI] [PubMed] [Google Scholar]
- 35.Bauman WA, Spungen AM. Disorders of carbohydrate and lipid metabolism in veterans with paraplegia or quadriplegia: a model of premature aging. Metabolism. 1994;43:749–56. doi: 10.1016/0026-0495(94)90126-0. [DOI] [PubMed] [Google Scholar]
- 36.Karlsson AK. Insulin resistance and sympathetic function in high spinal cord injury. Spinal Cord. 1999;37:494–500. doi: 10.1038/sj.sc.3100844. [DOI] [PubMed] [Google Scholar]
- 37.Bauman WA, Spungen AM, Zhong YG, Rothstein JL, Petry C, Gordon SK. Depressed serum high density lipoprotein cholesterol levels in veterans with spinal cord injury. Paraplegia. 1992;30:697–703. doi: 10.1038/sc.1992.136. [DOI] [PubMed] [Google Scholar]
- 38.Brenes G, Dearwater S, Shapera R, LaPorte RE, Collins E. High density lipoprotein cholesterol concentrations in physically active and sedentary spinal cord injured patients. Arch Phys Med Rehabil. 1986;67:445–50. [PubMed] [Google Scholar]
- 39.Bauman WA, Raza M, Spungen AM, Machac J. Cardiac stress testing with thallium-201 imaging reveals silent ischemia in individuals with paraplegia. Arch Phys Med Rehabil. 1994;75:946–50. [PubMed] [Google Scholar]
- 40.Rezende LF, Sá TH, Mielke GI, Viscondi JY, Rey-López JP, Garcia LM. All-Cause Mortality Attributable to Sitting Time: Analysis of 54 Countries Worldwide. Am J Prev Med. 2016;51:253. doi: 10.1016/j.amepre.2016.01.022. [DOI] [PubMed] [Google Scholar]
- 41.Roop Singh RajeshK, Rohilla Gaurav. Saini, Kiranpreet Kaur. Longitudinal study of body composition in spinal cord injury patients. Indian J Orthop. 2014;48:168–77. doi: 10.4103/0019-5413.128760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Spungen AM, Adkins RH, Stewart CA, Wang J, Pierson RN, Jr, Waters RL, et al. Factors influencing body composition in persons with spinal cord injury: a cross-sectional study. J Appl Physiol. 2003;95:2398–407. doi: 10.1152/japplphysiol.00729.2002. [DOI] [PubMed] [Google Scholar]
- 43.Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39:1423–34. doi: 10.1249/mss.0b013e3180616b27. [DOI] [PubMed] [Google Scholar]
- 44.Sinderby C, Ingvarsson P, Sullivan L, Wickstrom I, Lindstrom L. The role of the diaphragm in trunk extension in tetraplegia. Paraplegia. 1992;30:389–95. doi: 10.1038/sc.1992.88. [DOI] [PubMed] [Google Scholar]
- 45.Miller LE, Zimmermann AK, Herbert WG. Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: systematic review with meta-analysis. Med Devices. 2016;9:455–66. doi: 10.2147/MDER.S103102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kressler J, Thomas CK, Field-Fote EC, Sanchez J, Widerström-Noga E, Cilien DC. Understanding therapeutic benefits of overground bionic ambulation: exploratory case series in persons with chronic, complete spinal cord injury. Arch Phys Med Rehabil. 2014;95:1878–87. doi: 10.1016/j.apmr.2014.04.026. [DOI] [PubMed] [Google Scholar]
- 47.Asselin P, Knezevic S, Kornfeld S, Cirnigliaro C, Agranova-Breyter I, Bauman WA, et al. Heart rate and oxygen demand of powered exoskeleton-assisted walking in persons with paraplegia. J Rehabil Res Dev. 2015;52:147–58. doi: 10.1682/JRRD.2014.02.0060. [DOI] [PubMed] [Google Scholar]
- 48.Evans N, Hartigan C, Kandilakis C, Pharo E, Clesson I. Acute cardiorespiratory and metabolic responses during exoskeleton-assisted walking overground among persons with chronic spinal cord injury. Top Spinal Cord Inj Rehabil. 2015;21:122–32. doi: 10.1310/sci2102-122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kozlowski AJ, Bryce TN, Dijkers MP. Time and effort required by persons with spinal cord injury to learn to use a powered exoskeleton for assisted walking. Top Spinal Cord Inj Rehabil. 2015;21:110–21. doi: 10.1310/sci2102-110. [DOI] [PMC free article] [PubMed] [Google Scholar]