Department of Nutrition and Dietetics, Austin Health, Heidelberg, VIC, Australia.
Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Spinal Cord. 2021 Jul;59(7):730-737. doi: 10.1038/s41393-020-00568-3. Epub 2020 Oct 19.
Observational.
To compare two methods for predicting segmental (arms, legs, trunk) lean tissue mass (LTM: non-bone fat-free mass) from bioimpedance spectroscopy (BIS) against LTM measured from dual energy X-ray absorptiometry (DXA) in individuals with acute spinal cord injury (SCI).
Austin Health Victorian Spinal Cord Service, Victoria, Australia.
Fourteen participants (two female), within 8 weeks of traumatic SCI had BIS measured following an overnight fast and within 24 h of DXA scanning. Total body fat-free mass (FFM, body weight minus fat mass) and segmental LTM were predicted from BIS using manufacturer's proprietary software and a previously established SCI-specific prediction method. Appendicular LTM (ALM) was calculated from the sum of the LTM of the arms and legs. Agreement and strength of relationships with DXA for predicted LTM measures using both approaches were assessed using Lin's concordance coefficient and limits of agreement analysis (LOA).
The BIS proprietary method performed better than the SCI-specific prediction method in predicting DXA LTM, demonstrating substantial concordance for total body FFM (rc = 0.80), ALM (rc = 0.78), arm (rc = 0.76) and leg LTM (rc = 0.65) and a smaller bias and LOA for ALM (+0.8 vs. -3.4 kg; LOA -4.9-6.4 vs. -11.9-5.1 kg), arm (+0.02 vs. -0.3 kg; LOA -1.1-1.1 kg vs. -2.2-1.6 kg) and leg (+0.4 vs. -1.4 kg; LOA -2.0-2.8 vs. -5.6-2.8) LTM.
BIS can be used to accurately predict total body FFM, segmental LTM and ALM in individuals with acute SCI.
观察性研究。
比较两种方法，即生物电阻抗谱（BIS）和双能 X 射线吸收法（DXA），用于预测急性脊髓损伤（SCI）个体的节段性（手臂、腿部、躯干）瘦组织量（LTM：非骨去脂体重），并将其与 DXA 测量的 LTM 进行比较。
澳大利亚维多利亚州奥斯汀健康维多利亚脊髓服务中心。
14 名参与者（2 名女性），在创伤性 SCI 后 8 周内，空腹过夜后和 DXA 扫描后 24 小时内进行 BIS 测量。使用制造商的专有软件和先前建立的 SCI 特异性预测方法，从 BIS 预测全身去脂体重（FFM，体重减去脂肪量）和节段性 LTM。上肢 LTM（ALM）由手臂和腿部 LTM 的总和计算得出。使用 Lin 一致性系数和界限分析（LOA）评估两种方法预测 LTM 测量值与 DXA 的一致性和相关性强度。
BIS 专有方法在预测 DXA LTM 方面优于 SCI 特异性预测方法，全身 FFM（rc=0.80）、ALM（rc=0.78）、手臂（rc=0.76）和腿部 LTM（rc=0.65）具有显著一致性，ALM 的偏差和 LOA 较小（+0.8 与-3.4kg；LOA-4.9-6.4 与-11.9-5.1kg）、手臂（+0.02 与-0.3kg；LOA-1.1-1.1kg 与-2.2-1.6kg）和腿部（+0.4 与-1.4kg；LOA-2.0-2.8 与-5.6-2.8kg）。
BIS 可用于准确预测急性 SCI 个体的全身 FFM、节段性 LTM 和 ALM。
