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确定用于调整COVID-19患者胸部CT上骨骼肌面积的最佳身体尺寸参数。

The identification of an optimal body size parameter to adjust skeletal muscle area on chest CT in COVID-19 patients.

作者信息

Kutaiba Numan, Dobson Julie, Finnis Mark, Bellomo Rinaldo

机构信息

Department of Radiology, Austin Health, Heidelberg, Victoria, Australia.

Department of Radiology, The University of Melbourne, Parkville, Victoria, Australia.

出版信息

J Frailty Sarcopenia Falls. 2024 Mar 1;9(1):16-24. doi: 10.22540/JFSF-09-016. eCollection 2024 Mar.

Abstract

OBJECTIVES

The most efficient way to adjust skeletal muscle area (SMA) derived from chest CT to body size remains unclear. We hypothesized that vertebral body area (VBA) measurement would allow such efficient adjustment.

METHODS

We conducted a retrospective observational study of chest CT imaging in a cohort of critically ill COVID-19 patients. We measured paravertebral SMA at T5 level and T5 vertebral body anteroposterior length, width, and area. We used linear regression and multivariable modelling to assess the association of VBA with SMA.

RESULTS

In 48 COVID-19 patients in ICU, T5 VBA could be easily derived from simple width and anteroposterior length linear measurements. T5 VBA (measured manually or estimated from width and length) performed similarly to height (R of 0.22) as an adjustment variable for SMA, with R of 0.23 and 0.22, respectively. Gender had the strongest correlation with SMA (R = 0.28). Adding height or age to a model using gender and VBA did not improve correlation.

CONCLUSIONS

Gender and estimated VBA from simple linear measurements at T5 level on CT images can be utilized for adjustment of SMA without the need for height. Validation of these findings in larger cohorts of critically ill patients is now needed.

摘要

目的

将胸部CT得出的骨骼肌面积(SMA)调整至与身体大小相匹配的最有效方法尚不清楚。我们推测椎体面积(VBA)测量可实现这种有效调整。

方法

我们对一组危重症COVID-19患者的胸部CT影像进行了回顾性观察研究。我们测量了T5水平的椎旁SMA以及T5椎体的前后径、宽度和面积。我们使用线性回归和多变量建模来评估VBA与SMA之间的关联。

结果

在48例入住ICU的COVID-19患者中,T5 VBA可轻松从简单的宽度和前后径线性测量得出。T5 VBA(手动测量或根据宽度和长度估算)作为SMA的调整变量,其表现与身高相似(R值为0.22),分别为0.23和0.22。性别与SMA的相关性最强(R = 0.28)。在使用性别和VBA的模型中加入身高或年龄并不能提高相关性。

结论

性别以及通过CT图像上T5水平的简单线性测量估算出的VBA可用于调整SMA,而无需考虑身高。现在需要在更大的危重症患者队列中验证这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bdc/10910254/34e53da67df5/JFSF-9-016-g001.jpg

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