Comparison of segmental lean tissue mass in individuals with spinal cord injury measured by dual energy X-ray absorptiometry and predicted by bioimpedance spectroscopy

Comparing bioimpedance spectrometry and traditional creatinine kinetics methods for the assessment of muscle mass in peritoneal dialysis patients

Background

Sarcopenia is a common and serious problem in patients receiving peritoneal dialysis (PD). Lean tissue mass (LTM) by bioimpedance spectrometry is a reasonably accurate method for measuring muscle mass. Fat-free edema-free body mass (FEBM) as determined by the creatinine kinetics method is a traditional method but evidence to support its use is limited.

Methods

We studied 198 new PD patients. Their serial LTM and FEBM were reviewed and compared by the Bland and Altman method. Multi-variable regression model was used to determine factors associated with the disparity between the two methods.

Results

There was a significant but moderate correlation between LTM and FEBM (r = 0.309, P < .0001). LTM was consistently higher than FEBM, with an average difference 13.98 kg (95% confidence interval -5.90 to 33.86 kg), and the difference strongly correlated with LTM (r = 0.781, P < .0001). By multivariable linear regression analysis, LTM and residual renal function were independent predictors of the LTM-FEBM difference. Where the measurements were repeated in 12 months, there was no significant correlation between ∆LTM and ∆FEBM (r = -0.031, P = .799).

Conclusion

There is a significant difference between LTM and FFBM. This discrepancy correlated with LTM and residual renal function, highlighting the limitations of FFBM in assessing skeletal muscle mass.

Resting energy expenditure during spinal cord injury rehabilitation and utility of fat-free mass-based energy prediction equations: a pilot study

STUDY DESIGN

Longitudinal observational study. Measurements were undertaken between weeks 4-6 post-spinal cord injury (SCI), repeated at week 8 and every 4 weeks thereafter until week 20 or rehabilitation discharge, whichever occurred first.

OBJECTIVES

Observe variation in measured resting energy expenditure (REE) and body composition in males undergoing SCI rehabilitation, compare REE with SCI-specific prediction equations incorporating fat-free mass (FFM), and explore the prevalence of clinical factors that may influence individual REE.

SETTING

Spinal Injuries Unit, Brisbane, Queensland, Australia.

METHODS

Indirect calorimetry was used to measure REE and bioimpedance spectroscopy to assess body composition. Four SCI-specific FFM-based REE and basal metabolic rate (BMR) prediction equations were compared to measured REE. A clinically significant change in REE was defined as +/- 10% difference from the week 4-6 measurement. Clinical factors that may affect REE variations were collected including infection, pressure injuries, autonomic dysreflexia, spasticity, and medications.

RESULTS

Fifteen people participated (mean age 35 ± 13 years, 67% paraplegic). There was no statistically significant change in mean REE, weight, or body composition, and the Chun and Nightingale BMR prediction equations performed best (rc > 0.8 at all time points). One-third of participants had >10% change in REE on 11 occasions, with clinical factors not consistently associated with the observed changes.

CONCLUSION

During SCI rehabilitation, mean REE, weight, and body composition remain unchanged, and FFM-based BMR prediction equations may be an acceptable alternative to indirect calorimetry. Future research designs should avoid single indirect calorimetry measures as snapshot data may not represent typical REE in this population.

Longitudinal changes in body composition and diet after acute spinal cord injury

OBJECTIVE

Spinal cord injury (SCI) is associated with low muscle mass and adiposity, however, to our knowledge, few studies have monitored the trajectory of changes over time. This study aimed to evaluate the timing, rate, magnitude, and site-specific changes in body composition and related changes in diet after SCI.

METHODS

We assessed 39 patients with SCI. The analysis included five women. Of the participants, 51% had American Spinal Injury Association Impairment Scale (AIS) criteria A/B (motor complete) injuries, 18% had AIS C (sensory/motor incomplete) injuries, and 31% had AIS D (motor incomplete) injuries. The mean age of the patients was 43.2 y. They were 48.1 d post-injury and had their weight, diet, and body composition (bioimpedance spectroscopy) assessed every 2 wk.

RESULTS

No significant linear changes were observed for any body composition measure. Total body fat mass (FM) changed 0.01 kg/2 wk when fitted to a quadratic model (P = 0.004), decreasing to week 15 and returning to baseline at week 28. Subgroup analysis revealed that arm lean tissue mass (LTM) increased in paraplegic versus tetraplegic participants (0.05 versus -0.01 kg/2 wk, P = 0.007). Participants with AIS A/B injuries lost FM (-0.17 kg; P = 0.010), whereas those with AIS C injuries gained appendicular LTM (ALTM; 0.15 kg; P = 0.017) and leg LTM (0.12 kg; P = 0.008) every 2 wk. Body composition remained stable in the AIS D group. Mean fortnightly changes were greater in the AIS A/B group than the C group for weight (mean difference -0.30 kg; P = 0.021), FM (-0.25 kg; P = 0.002), and leg LTM (-0.11 kg; P = 0.021) and AIS A/B versus D for FM (-0.42 kg; P = 0.013). Baseline energy and protein intakes were 2150 kcal (±741) and 102 g (±40) and decreased by 21.5 kcal (P = 0.016) and 1.3 g (P = 0.004) every 2 wk but were not associated with body composition changes.

CONCLUSIONS

Neurologic level and severity of SCI, but not changes in diet, were the main determinants of heterogeneous body composition changes.

A longitudinal analysis of resting energy expenditure and body composition in people with spinal cord injury undergoing surgical repair of pressure injuries: a pilot study

BACKGROUND

Data informing energy needs of people with spinal cord injury (SCI) and pressure injuries are scarce, the impact of surgical repair unknown, and the role of body composition in healing unexplored. The study aims were to investigate resting energy expenditure (REE) over the course of pressure injury surgical repair, compare with available energy prediction equations, and explore associations between body composition and wound healing.

METHODS

Indirect calorimetry measured REE pre-surgery, post-surgery, at suture removal and hospital discharge. A clinically significant change was defined as +/-10% difference from pre-surgery. Eight SCI-specific energy prediction equations were compared to pre-surgery REE. Wound breakdown (Yes/No), weight, waist circumference (WC), and body composition (fat mass [FM], fat-free mass [FFM], bioimpedance spectroscopy) were measured.

RESULTS

Twenty people underwent pressure injury surgical repair (95% male, mean age 56 ± 12 years, 70% paraplegia). Between pre-surgery and discharge, mean REE increased (+118 kcal/d, p = 0.005), but with <10% change at any timepoint. An energy prediction equation incorporating FFM showed greatest agreement (r_c = 0.779, 95% CI: 0.437, 0.924). Those with wound breakdown (65%) had a higher weight (12.7 kg, 95% CI: -4.0, 29.3), WC (17.8 cm, 95% CI: -5.1, 40.7), and FM % (36.0% [IQR 31.8, 40.2] vs 26.0% [IQR 15.6, 41.3]) than those without wound breakdown, although statistical significance was not reached.

CONCLUSION

The presence of pressure injuries and subsequent surgical repair did not impact REE and energy prediction equations incorporating FFM performed best. While not statistically significant, clinically important differences in body composition were observed in those with wound breakdown.

Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study

Introduction

Body composition assessment in cervical spinal cord injury (c-SCI) individuals is important to monitor the fat free-mass (FFM) loss, due to immobilization, or gain, due to exercise practice. Single frequency bioelectrical impedance analysis (SF-BIA) is low in cost, simple and easy.

Objectives

The aims of this study are: to evaluate the concordance between the FFM values obtained using dual X-ray absorptiometry (DXA) and the three SF-BIA previous predictive equations; and to test the applicability of the bioelectrical impedance vector analysis (BIVA).

Methods

Twenty-three c-SCI males were divided into two groups: Physically active (PA; n = 13; at least 150 min/week) and non-active individuals (NPA) and were assessed by DXA and SF-BIA simultaneously.

Results

FFM values were similar between groups PA and NPA. Considering all participants, FFM values obtained by Kocina and Heyward (>11%) and Sun (<15.4%) predictive equations were different when compared to DXA (p < 0.01). However, Buchholz's et al. predictive equation showed FFM values similar to DXA, but presented poor concordance (<7%, p = 0.99; concordance coefficient = 0.85). BIVA showed consistency in ellipse distribution using FFM obtained using Buchholz et al. predictive equation.

Conclusions

The use of non-specific BIA equations can lead to misinterpretation in FFM values in male c-SCI individuals. Predictive equations for this group need to be developed.

Ability to detect history of falls among individuals with spinal cord injury using upper limb loading during a seated push-up test

BACKGROUND

A history of falls is an important risk factor for future falls, including for individuals with spinal cord injury (SCI) who often experience falls and subsequent injuries. This may be even more pronounced during the current COVID-19 pandemic because of the extreme shortage of hospital admission and restricted access to important services. Therefore, the ability of detecting a history of falls that can be applied to wheelchair users and ambulatory individuals with SCI in various settings are essential.

AIM

To investigate the discriminative ability of three clinical measures-the handgrip (HG) test, Spinal Cord Independence Measure (SCIM) III and Upper Limb Loading During a Seated Push-Up Test (ULL-SPUT)-in discriminating individuals with SCI with and without a history of falls over the past six months.

DESIGN

A 6-month retrospective observational cohort study.

SETTING

Inpatient tertiary rehabilitation center.

POPULATION

One hundred and fourteen wheelchair users and ambulatory individuals with SCI.

METHODS

The participants were interviewed and assessed for their demographics, SCI characteristics and fall data over the past six months, with data confirmation from related events, their caregivers and medical records. Subsequently, they were assessed using the HG test, SCIM III, and ULL-SPUT.

RESULTS

In total, 29 participants (25%) fell during the past six months (with the number of falls ranging from 1-20, with minor consequences after the falls). Among the three clinical measures assessed in this study, the ULL-SPUT data of faller participants were significantly higher than those of non-fallers (P<0.05).

CONCLUSIONS

The limited rehabilitation length and increased staying home and social isolation prompted by the COVID-19 pandemic may have reduced the fall rates of the participants. The findings suggest a higher likelihood of falls among wheelchair users and ambulatory individuals with SCI who have good mobility as determined using ULL-SPUT data.

CLINICAL REHABILITATION IMPACT

Apart from being an important rehabilitation strategy, the present findings suggest an additional benefit of ULL-SPUT to identify individuals with SCI with a likelihood of future falls. The measurement can be done easily using digital bathroom scales placing over a flat and smooth surface. Therefore, it would enable the timely initiation of fall prevention strategies in various clinical, community, home and research settings; particularly in this COVID-19 pandemic of limited beds and hospital services for these individuals.

The use of simple muscle strength tests to reflect body compositions among individuals with spinal cord injury

STUDY DESIGN

A cross-sectional study.

OBJECTIVES

To investigate the correlation between simple muscle strength tests (including handgrip test and upper limb loading during a seated push-up test [ULL-SPUT]) and body compositions among individuals with spinal cord injury (SCI).

SETTING

A tertiary rehabilitation center.

METHODS

Twenty-four participants with SCI (average age of 40 years) were cross-sectionally assessed using handgrip test, ULL-SPUT, and body compositions (including skeletal muscle mass, bone mineral content, and fat mass) using dual-energy X-ray absorptiometry scan.

RESULTS

The handgrip data had low-to-moderate correlation to body compositions of the arms (r_s = 0.474-0.515, p < 0.05), while the ULL-SPUT data were low-to-excellently correlated to all body compositions of the arms, legs, and trunk (r_s, r = 0.467-0.921, p < 0.05).

CONCLUSIONS

The findings extend clinical benefit of a SPUT apart from being a rehabilitation strategy to promote mobility of individuals with SCI. Simple measurement of the ULL-SPUT, which can be done using digital bathroom scales placed on a hard and even surface, appears to be strongly correlated with body compositions in a small sample of predominantly middle age, normal weight, men with paraplegia. More research is required to understand whether this test can be used clinically to assess body compositions in a more diverse SCI population, and whether it is responsive to changes in body compositions over time.