感染和未感染艾滋病毒男性的肌肉质量和身体功能

Jing Sun, Grace L Ditzenberger, Todd T Brown, Susan Langan, Hsing-Yu Hsu, Derek Ng, Frank J Palella, Jordan E Lake, Lawrence A Kingsley, Susan L Koletar, Wendy Post, Kristine M Erlandson
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引用次数: 0

摘要

背景 尽管接受了抗逆转录病毒治疗,但艾滋病病毒感染者(PWH)的体能下降速度要快于非艾滋病病毒感染者(PWoH)。我们比较了艾滋病病毒感染者和非艾滋病病毒感染者的骨骼肌密度和面积及其与身体功能的关系。方法 对多中心艾滋病队列(MACS)参与者的 L4-L5 脊柱区域和大腿进行定量计算机断层扫描(CT),以评估基线时的肌肉群。通过探索性因子分析,我们总结了基于因子载荷的综合肌肉测量值。在调整人口统计学、HIV 血清状态和其他健康指标的基础上,我们使用具有广义估计方程的多变量线性回归模型检验了肌肉面积和密度与步速和握力之间的纵向联系。结果 我们纳入了 798 名男性(占 PWH 的 61%)。中位年龄为 54 岁(IQR:49-59),61% 为白人,32% 为黑人,10% 为西班牙裔。其中 22% 的人体重指数超过 30 kg/m2,14% 的人患有糖尿病。因子分析得出两个因子,解释了 55.9% 的方差。因子 1(可解释方差的 32.5%)包含所有密度测量。因子 2(解释了 23.4% 的方差)包含所有面积测量。肌肉密度与步速之间的关联在综合测量中比在单个测量中更为明显。具体来说,整体肌肉密度每增加一个单位,步速就会增加 0.028 米/秒(95% 置信区间 [CI]:0.017, 0.038, p<0.01)。握力与肌肉密度和肌肉面积的综合测量值有关,整体肌肉密度与握力增加 1.88 千克有关(95% 置信区间:1.29, 2.46, p<0.01),整体肌肉面积与握力增加 1.60 千克有关(95% 置信区间:1.02, 2.19, p<0.01)。结论 肌肉密度和面积的综合测量结果与身体功能有显著相关性。这些相关性强调了采取干预措施增强骨骼肌以改善威利什病患者和威利什病患者健康老龄化的重要性。
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Muscle Quality And Physical Function In Men With And Without Hiv
Background People with HIV (PWH) experience faster physical decline than those without HIV (PWoH), despite antiretroviral therapy. We compared skeletal muscle density and area and their relationship with physical function among PWH and PWoH. Methods Quantitative computed tomography (CT) scans were performed at the L4-L5 spinal region and the thigh to evaluate muscle groups in Multicenter AIDS Cohort (MACS) participants at baseline. Using exploratory factor analysis, we summarized aggregated muscle measures based on factor loadings. Longitudinal associations between muscle area and density with gait speed and grip strength were examined using multivariable linear regression models with generalized estimating equations, adjusting for demographics, HIV serostatus, and other health metrics. Results We included 798 men (61% of PWH). The median age was 54 years (IQR: 49-59), 61% were White, 32% Black, and 10% Hispanic. Among them, 22% had a BMI over 30 kg/m2, and 14% had diabetes. Two factors emerged from the factor analysis explaining 55.9% of variance. Factor 1 (explained 32.5% of variance) encompassed all density measures. Factor 2 (explained 23.4% of variance) encompassed all area measures. Associations between muscle density and gait speed were more pronounced with aggregated measures than with individual ones. Specifically, each unit increase in overall muscle density correlated with a 0.028 meter/second increase in gait speed (95% confidence interval [CI]: 0.017, 0.038, p<0.01). Grip strength was associated with aggregated measures of both muscle density and area, with overall muscle density associated with a 1.88 kg increase in grip strength (95% CI: 1.29, 2.46, p<0.01), and overall muscle area with a 1.60 kg increase (95% CI: 1.02, 2.19, p<0.01). Conclusions Aggregated muscle density and area measurements were significantly associated with physical function. These correlations underscore the importance of interventions to enhance skeletal muscle to improve healthy aging for PWH and PWoH.
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