Farinatti Paulo, Paes Lorena, Harris Elizabeth A, Lopes Gabriella O, Borges Juliana P
1Laboratory of Physical Activity and Health Promotion, Institute of Physical Education and Sports, Rio de Janeiro State University, Rio de Janeiro, Brazil; and 2Graduate Program in Sciences of Physical Activity, Salgado de Oliveira University, Niteroi, Brazil.
J Strength Cond Res. 2017 Sep;31(9):2542-2551. doi: 10.1519/JSC.0000000000002070.
Farinatti, P, Paes, L, Harris, EA, Lopes, GO, and Borges, JP. A simple model to identify risk of sarcopenia and physical disability in HIV-infected patients. J Strength Cond Res 31(9): 2542-2551, 2017-Early detection of sarcopenia might help preventing muscle loss and disability in HIV-infected patients. This study proposed a model for estimating appendicular skeletal muscle mass (ASM) to calculate indices to identify "sarcopenia" (SA) and "risk for disability due to sarcopenia" (RSA) in patients with HIV. An equation to estimate ASM was developed in 56 patients (47.2 ± 6.9 years), with a cross-validation sample of 24 patients (48.1 ± 6.6 years). The model validity was determined by calculating, in both samples: (a) Concordance between actual vs. estimated ASM; (b) Correlations between actual/estimated ASM vs. peak torque (PT) and total work (TW) during isokinetic knee extension/flexion; (c) Agreement of patients classified with SA and RSA. The predictive equation was ASM (kg) = 7.77 (sex; F = 0/M = 1) + 0.26 (arm circumference; cm) + 0.38 (thigh circumference; cm) + 0.03 (Body Mass Index; kg·m) - 8.94 (R = 0.74; Radj = 0.72; SEE = 3.13 kg). Agreement between actual vs. estimated ASM was confirmed in validation (t = 0.081/p = 0.94; R = 0.86/p < 0.0001) and cross-validation (t = 0.12/p = 0.92; R = 0.87/p < 0.0001) samples. Regression characteristics in cross-validation sample (Radj = 0.80; SEE = 3.65) and PRESS (RPRESS = 0.69; SEEPRESS = 3.35) were compatible with the original model. Percent agreements for the classification of SA and RSA from indices calculated using actual and estimated ASM were of 87.5% and 77.2% (gamma correlations 0.72-1.0; p < 0.04) in validation, and 95.8% and 75.0% (gamma correlations 0.98-0.97; p < 0.001) in cross-validation sample, respectively. Correlations between actual/estimated ASM vs. PT (range 0.50-0.73, p ≤ 0.05) and TW (range 0.59-0.74, p ≤ 0.05) were similar in both samples. In conclusion, our model correctly estimated ASM to determine indices for identifying SA and RSA in HIV-infected patients.
法里纳蒂，P，佩斯，L，哈里斯，EA，洛佩斯，GO，以及博尔热斯，JP。一种识别HIV感染患者肌肉减少症和身体残疾风险的简单模型。《力量与体能研究杂志》31(9): 2542 - 2551，2017年 - 早期检测肌肉减少症可能有助于预防HIV感染患者的肌肉流失和残疾。本研究提出了一个用于估计四肢骨骼肌质量（ASM）的模型，以计算指数来识别HIV患者的“肌肉减少症”（SA）和“因肌肉减少症导致残疾的风险”（RSA）。在56例患者（47.2±6.9岁）中开发了一个估计ASM的方程，并以24例患者（48.1±6.6岁）作为交叉验证样本。通过在两个样本中计算以下指标来确定模型的有效性：（a）实际ASM与估计ASM之间的一致性；（b）实际/估计ASM与等速膝关节伸展/屈曲过程中的峰值扭矩（PT）和总功（TW）之间的相关性；（c）SA和RSA分类患者的一致性。预测方程为ASM（kg）= 7.77（性别；女性F = 0/男性M = 1）+ 0.26（上臂围；cm）+ 0.38（大腿围；cm）+ 0.03（体重指数；kg·m） - 8.94（R = 0.74；调整后Radj = 0.72；标准误SEE = 3.13 kg）。在验证样本（t = 0.081/p = 0.94；R = 0.86/p < 0.0001）和交叉验证样本（t = 0.12/p = 0.92；R = 0.87/p < 0.0001）中均证实了实际ASM与估计ASM之间的一致性。交叉验证样本中的回归特征（调整后Radj = 0.80；标准误SEE = 3.65）和预测残差平方和（RPRESS = 0.69；标准误SEEEPRESS = 3.35）与原始模型相符。在验证样本中，使用实际和估计ASM计算的指数对SA和RSA进行分类的百分比一致性分别为87.5%和77.2%（伽马相关性0.72至1.0；p < 0.04），在交叉验证样本中分别为95.8%和75.0%（伽马相关性0.98至0.97；p < 0.001）。在两个样本中，实际/估计ASM与PT（范围0.50至0.73，p≤0.05）和TW（范围0.59至0.74，p≤0.05）之间的相关性相似。总之，我们的模型正确地估计了ASM，以确定用于识别HIV感染患者SA和RSA的指数。
