T10椎旁肌少症的影像学特征:COVID-19的预后因素

Georgios Schinas, Vasiliki Dimakopoulou, Konstantinos Dionysopoulos, Georgia Fezoulidi, Marianna Vlychou, Katerina Vassiou, Nikolaos K Gatselis, Anna Samakidou, Georgios Giannoulis, Argyrios Tzouvelekis, Markos Marangos, Charalambos Gogos, George N Dalekos, Christina Kalogeropoulou, Karolina Akinosoglou
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引用次数: 0

摘要

背景:骨骼肌减少症被定义为骨骼肌计算机断层扫描(CT)测量中的小横截面积(CSA),在各种临床情况下,包括肺部疾病和危重疾病,可以作为疾病严重程度的标志。肌肉减少症的另一个参数,即胸椎骨骼肌组中由组织放射密度反映的肌骨化症水平,与2019年冠状病毒病(COVID-19)患者的疾病进展有关。我们假设ct测量的骨骼肌密度(SMD)和胸椎骨骼肌CSA可以预测COVID-19肺炎的预后。方法:我们回顾性分析了2020年4月至2021年2月期间希腊两家最大的学术教学医院收治的84例COVID-19肺炎患者的CT扫描。采用计算机成像方法测量T10椎体水平的CSA和SMD。根据生存状态和CT严重程度评分(CT- ss)对患者进行分层。肌肉减少症的放射学特征、CT严重程度亚组、血清炎症标志物和不良事件(如死亡和插管)之间存在相关性。结果:胸肌CSA测量与CT-SS和显著炎症标志物相关,如白细胞(WBC)、c反应蛋白(CRP)、纤维蛋白原和d -二聚体。此外,根据线性回归分析,CSA似乎可以预测CT-SS的变化(β = -0.266, P = 0.018)。CSA证明在幸存者之间存在显著差异(P = 0.027),但在CT严重程度类别和插管亚组之间没有差异。胸肌CSA对死亡率的预测价值的受试者工作特征(ROC)曲线下面积(AUC)为0.774(95%置信区间(CI): 0.66 ~ 0.83, P < 0.000)。死亡率预后的最佳临界值(约登指数= 0.57)为15.55,敏感性为66.7%,特异性为88.9%。胸肌的SMD分析没有显示出任何显著的相关性。结论:影像学特征易于获取且计算准确,可为预测COVID-19患者的生存提供可靠的替代实验室方法。胸肌T10椎体水平的CSA测量是一项广受赞誉的预后影像学评估,与COVID-19肺炎的CT-SS和炎症标志物直接相关,是一种相当特定的生存预后工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Radiologic Features of T10 Paravertebral Muscle Sarcopenia: Prognostic Factors in COVID-19.

Background: Sarcopenia, defined as a small cross-sectional area (CSA) in computed tomography (CT) measurements of skeletal muscles, serves as a disease severity marker in various clinical scenarios, including pulmonary conditions and critical illness. Another parameter of sarcopenia, the level of myosteatosis, reflected by the tissue's radiodensity, in the thoracic skeletal muscles group, has been linked to disease progression in coronavirus disease 2019 (COVID-19) patients. We hypothesize that CT-derived measurements of the skeletal muscle density (SMD) and the CSA of thoracic skeletal muscles can predict outcomes in COVID-19 pneumonia.

Methods: We retrospectively reviewed the CT scans of 84 patients with COVID-19 pneumonia admitted to two of Greece's largest academic teaching hospitals between April 2020 and February 2021. CSA and SMD at the level of the T10 vertebra were measured using computational imaging methods. The patient population was stratified according to survival status and CT severity score (CT-SS). Correlations were drawn between the radiologic features of sarcopenia, CT severity subgroups, serum inflammatory markers, and adverse events, e.g., death and intubation.

Results: Thoracic muscles' CSA measurements correlate with CT-SS and prominent inflammatory markers, such as white blood cell (WBC), C-reactive protein (CRP), fibrinogen, and D-dimers. Moreover, according to linear regression analysis, CSA seems to predict CT-SS variation significantly (β = -0.266, P = 0.018). CSA proved to differ significantly across survivors (P = 0.027) but not between CT severity categories and intubation subgroups. The AUC (area under the curve) of the receiver operating characteristic (ROC) curve for the predictive value of thoracic muscles' CSA in mortality is 0.774 (95% confidence interval (CI): 0.66 - 0.83, P < 0.000). The optimal cut-off value (Youden index = 0.57) for mortality prognosis, with a sensitivity of 66.7% and a specificity of 88.9%, is 15.55. Thoracic muscles' SMD analyses did not reveal any significant correlations.

Conclusions: Easy to obtain and accurately calculated, radiologic features can provide a reliable alternative to laboratory methods for predicting survival in COVID-19. Thoracic muscles' CSA measurement in the level of the T10 vertebra, an acclaimed prognostic imaging assessment that relates directly to CT-SS and inflammatory markers in COVID-19 pneumonia, is a fairly specific tool for survival prognosis.

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