Hwang Yunsup, Lee Yoon Hyun, Cho Dae Hyun, Kim Maru, Lee Dae-Sang, Cho Hang Joo
Department of Radiology.
Department of Trauma Surgery, Ujeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Medicine (Baltimore). 2020 Feb;99(6):e19069. doi: 10.1097/MD.0000000000019069.
Nutritional assessment is feasible with computed tomography anthropometry. The abdominal muscle at the L3 vertebra is a well-known nutritional biomarker for predicting the prognosis of various diseases, especially sarcopenia. However, studies on nutritional assessment of the brain using computed tomography are still scarce. This study aimed to investigate the applicability of the masseter muscle as a nutritional biomarker.Patients who underwent simultaneous brain and abdominopelvic computed tomography in the emergency department was retrospectively analyzed. We assessed their masseter muscle 2 cm below the zygomatic arch and abdominal muscle at L3 via computed tomography anthropometry. The skeletal muscle index, prognostic nutritional index, and other nutritional biomarkers were assessed for sarcopenia using the receiver operating characteristic curve analysis.A total of 314 patients (240 men and 72 women) were analyzed (mean age, 50.24 years; mean areas of the masseter and abdominal muscles, 1039.6 and 13478.3 mm, respectively). Masseter muscle areas significantly differed in sarcopenic, obese, and geriatric patients (P < .001). The areas under the curve of the masseter muscle in sarcopenic, geriatric, and obese patients were 0.663, 0.686, and 0.602, respectively. Multivariable linear regression analysis showed a correlation with the abdominal muscle area, weight, and age.The masseter muscle, analyzed via computed tomography anthropometry, showed a statistically significant association with systemic nutritional biomarkers, and its use as a nutritional biomarker would be feasible.
计算机断层扫描人体测量法可用于营养评估。L3椎体水平的腹部肌肉是预测各种疾病预后，尤其是肌肉减少症的一种广为人知的营养生物标志物。然而，利用计算机断层扫描进行脑营养评估的研究仍然很少。本研究旨在探讨咬肌作为营养生物标志物的适用性。对在急诊科同时接受脑部和腹部盆腔计算机断层扫描的患者进行回顾性分析。我们通过计算机断层扫描人体测量法评估了他们颧弓下方2厘米处的咬肌和L3水平的腹部肌肉。使用受试者工作特征曲线分析评估骨骼肌指数、预后营养指数和其他用于评估肌肉减少症的营养生物标志物。共分析了314例患者（240例男性和72例女性）（平均年龄50.24岁；咬肌和腹部肌肉的平均面积分别为1039.6平方毫米和13478.3平方毫米）。咬肌面积在肌肉减少症患者、肥胖患者和老年患者中存在显著差异（P<0.001）。肌肉减少症患者、老年患者和肥胖患者咬肌的曲线下面积分别为0.663、0.686和0.602。多变量线性回归分析显示与腹部肌肉面积、体重和年龄相关。通过计算机断层扫描人体测量法分析的咬肌与全身营养生物标志物存在统计学上的显著关联，将其用作营养生物标志物是可行的。
