Computed tomography measured epicardial adipose tissue and psoas muscle attenuation: new biomarkers to predict major adverse cardiac events and mortality in patients with heart disease and critically ill patients. Part II: Psoas muscle area and density.

IF 1.6 Q2 ANESTHESIOLOGY Anaesthesiology intensive therapy Pub Date : 2023-01-01 DOI:10.5114/ait.2023.132460
Jeroen Walpot, Paul Van Herck, Caroline M Van de Heyning, Johan Bosmans, Samia Massalha, João R Inácio, Hein Heidbuchel, Manu L Malbrain
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Abstract

Sarcopenia is a syndrome characterised by loss of skeletal muscle mass, loss of muscle quality, and reduced muscle strength, resulting in low performance. Sarcopenia has been associated with increased mortality and complications after medical interventions. In daily clinical practice, sarcopenia is assessed by clinical assessment of muscle strength and performance tests and muscle mass quantification by dual-energy X-ray absorptio-metry (DXA) or bioelectrical impedance analysis (BIA). Assessment of the skeletal muscle quantity and quality obtained by abdominal computed tomography (CT) has gained interest in the medical community, as abdominal CT is performed for various medical reasons, and quantification of the psoas and skeletal muscle can be performed without additional radiation load and dye administration. The definitions of CT-derived skeletal muscle mass quantification are briefly reviewed: psoas muscle area (PMA), skeletal muscle area (SMA), and transverse psoas muscle thickness (TPMT). We explain how CT attenuation coefficient filters are used to determine PMA and SMA, resulting in the psoas muscle index (PMI) and skeletal muscle index (SMI), respectively, after indexation to body habitus. Psoas muscle density (PMD), a biomarker for skeletal muscle quality, can be assessed by measuring the psoas muscle CT attenuation coefficient, expressed in Hounsfield units. The concept of low-density muscle (LDM) is explained. Finally, we review the medical literature on PMI and PMD as predictors of adverse outcomes in patients undergoing trauma or elective major surgery, transplantation, and in patients with cardiovascular and internal disease. PMI and PMD are promising new biomarkers predicting adverse outcomes after medical interventions.

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计算机断层扫描测量的心外膜脂肪组织和腰肌衰减:预测心脏病患者和危重病人主要心脏不良事件和死亡率的新生物标志物。第二部分:腰肌面积和密度。
肌肉疏松症是一种以骨骼肌量减少、肌肉质量下降和肌肉力量减弱为特征的综合症,会导致人体机能低下。肌肉疏松症与死亡率和医疗干预后并发症的增加有关。在日常临床实践中,评估肌肉疏松症的方法包括肌肉力量和表现测试的临床评估,以及双能 X 射线吸收测量法(DXA)或生物电阻抗分析法(BIA)对肌肉质量的量化。通过腹部计算机断层扫描(CT)对骨骼肌的数量和质量进行评估已受到医学界的关注,因为腹部 CT 是出于各种医学原因而进行的,而且对腰肌和骨骼肌进行量化无需额外的辐射负荷和染料给药。本文简要回顾了 CT 衍生骨骼肌质量量化的定义:腰肌面积 (PMA)、骨骼肌面积 (SMA) 和横向腰肌厚度 (TPMT)。我们解释了如何使用 CT 衰减系数滤波器来确定腰肌面积和骨骼肌面积,从而得出腰肌指数(PMI)和骨骼肌指数(SMI)。腰肌密度(PMD)是骨骼肌质量的生物标志物,可通过测量腰肌 CT 衰减系数(以 Hounsfield 单位表示)来评估。我们还解释了低密度肌肉(LDM)的概念。最后,我们回顾了有关 PMI 和 PMD 的医学文献,它们是接受创伤或择期大手术、移植以及心血管和内科疾病患者不良预后的预测因素。PMI和PMD是预测医疗干预后不良后果的有希望的新生物标志物。
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CiteScore
3.00
自引率
5.90%
发文量
48
审稿时长
25 weeks
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