Utility of ultrasound as a promising diagnostic tool for stroke-related sarcopenia: A retrospective pilot study.
Utility of ultrasound as a promising diagnostic tool for stroke-related sarcopenia: A retrospective pilot study.
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DOI：
10.1097/md.0000000000030244
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发表时间：
2022-09-09
期刊：
影响因子：
1.6
通讯作者：
Kim, Doh-Eui
中科院分区：
文献类型：
--
作者：
Park, Siha;Kim, Yuntae;Kim, Soo A.;Hwang, Insu;Kim, Doh-Eui
中风患者经历肌肉质量的广泛变化，导致中风相关的肌肉减少症。中风相关的肌肉减少症对中风幸存者的功能结局有显著影响。因此，测量中风患者的肌肉质量非常重要。本研究旨在探讨急性脑卒中偏瘫患者股四头肌厚度（QMT）与双能X线骨密度仪（DXA）测量的股四头肌瘦体重（ALM）之间的相关性。本研究纳入了25名参与者（13名男性和12名女性），他们在1个月内被诊断为中风。对于轻瘫和非轻瘫腿，通过超声测量QMT，并通过进行DXA扫描获得ALM。我们分析了瘫痪和非瘫痪腿的超声QMT和DXA导出的瘦体重之间的差异和相关性。脑卒中患者根据瘫痪膝伸肌功率分为2组。比较超声QMT、DXA扫描结果和功能参数。两种性别的QMT和ALM指数之间以及QMT和两条腿的特定部位瘦体重（SSLM）之间存在显著相关性（P <0.05）。在多元线性回归模型中，我们对年龄、性别、体重指数（BMI）和膝关节伸肌肌力等混杂因素进行了调整。我们观察到QMT和ALM指数之间的正相关（P <0.05），QMT和两条腿的SSLM之间的正相关（P <0.05）。轻瘫组和非轻瘫组的% QMT比% SSLM差异更大（10.25%比4.58%）。超声的QMT测量值与DXA扫描结果有很大的相关性。在中风急性期，超声比DXA扫描更能反映瘫痪和非瘫痪腿之间肌肉质量的变化。超声可能是一个有用的工具，以评估中风相关的肌肉减少症。
Stroke patients undergo extensive changes in muscle mass which lead to stroke-related sarcopenia. Stroke-related sarcopenia has a significant impact on the functional outcome of stroke survivors. So, it is important to measure muscle mass in stroke patients. This study aimed to examine the correlation between ultrasonographic quadriceps muscle thickness (QMT) and dual-energy X-ray absorptiometry (DXA) derived appendicular lean mass (ALM) in patients with acute hemiplegic stroke. Twenty five participants were included (13 men and 12 women) in this study, who were diagnosed with stroke within 1 month. For both paretic and non-paretic legs, QMT was measured by an ultrasound and ALM was obtained by performing DXA scan. We analyzed the difference and the correlation between ultrasonographic QMT and DXA-derived lean body mass of both paretic and non-paretic legs. Stroke patients were divided into 2 groups according to the paretic knee extensor power. Ultrasonographic QMT, DXA scan findings, and functional parameters were compared. There was a significant correlation between QMT and ALM index, and between QMT and site-specific lean mass (SSLM) of both the legs for both the sexes (P < .05). In multivariate linear regression model, we made adjustments for the confounding factors of age, sex, body mass index (BMI) and paretic knee extensor power. We observed a positive relationship between QMT and ALM index (P < .05), and between QMT and SSLM of both the legs (P < .05). The % QMT showed higher difference than % SSLM between paretic and non-paretic legs (10.25% vs 4.58%). The QMT measurements of ultrasound show a great relationship with DXA scan findings. Ultrasound better reflects the change of muscle mass between paretic and non-paretic legs than DXA scan at an acute phase of stroke. Ultrasound could be a useful tool to evaluate stroke-related sarcopenia.