当前位置: X-MOL 学术In Vivo › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Calf Circumference as a Useful Predictor of Sarcopenia in Patients With Liver Diseases
In Vivo ( IF 2.3 ) Pub Date : 2020-01-01 , DOI: 10.21873/invivo.12073
Hiroki Nishikawa 1, 2 , Kazunori Yoh 3 , Hirayuki Enomoto 3 , Yoshinori Iwata 3 , Yoshiyuki Sakai 3 , Kyohei Kishino 3 , Yoshihiro Shimono 3 , Naoto Ikeda 3 , Tomoyuki Takashima 3 , Nobuhiro Aizawa 3 , Ryo Takata 3 , Kunihiro Hasegawa 3 , Takashi Koriyama 3 , Yukihisa Yuri 3 , Takashi Nishimura 3 , Shuhei Nishiguchi 4 , Hiroko Iijima 3
Affiliation  

Background/Aim: To elucidate the influence of calf circumference (CC) on sarcopenia in patients with chronic liver damages (CLDs, n=525, 255 men). Patients and Methods: Anthropometry parameters including arm circumference, arm muscle circumference, CC, arm muscle area, triceps skinfold thickness, waist circumference and body mass index were measured. Patients with both grip strength (GS) decline and skeletal muscle index (SMI) decline were diagnosed as sarcopenic. Results: Liver cirrhosis was identified in 103 cases (40.4%) in males and 87 cases (32.2%) in females. Sarcopenia was identified in 23 male patients (9.0%) and 38 female patients (14.1%). CC had the strong positive correlation with SMI both in male (r=0.79, p<0.0001) and female (r=0.83, p<0.0001). Among the above mentioned 7 anthropometry parameters, CC had the highest area under the receiver operating characteristics curve (AUC) for sarcopenia both in males (AUC=0.88) and females (AUC=0.86). Conclusion: CC can be helpful for predicting sarcopenia in CLDs.

中文翻译:

小腿围作为肝病患者肌肉减少症的有用预测指标

背景/目的:阐明小腿围 (CC) 对慢性肝损伤患者(CLD,n=525,255 名男性)肌肉减少症的影响。患者和方法:测量人体测量参数,包括臂围、臂肌围、CC、臂肌面积、三头肌皮褶厚度、腰围和体重指数。握力(GS)下降和骨骼肌指数(SMI)下降的患者被诊断为肌肉减少症。结果:男性103例(40.4%)、女性87例(32.2%)肝硬化。在 23 名男性患者 (9.0%) 和 38 名女性患者 (14.1%) 中发现肌肉减少症。CC与男性(r=0.79,p<0.0001)和女性(r=0.83,p<0.0001)的SMI均呈强正相关。在上述7个人体测量参数中,CC 在男性 (AUC = 0.88) 和女性 (AUC = 0.86) 肌肉减少症的受试者工作特征曲线 (AUC) 下面积最大。结论:CC 有助于预测 CLD 的肌肉减少症。
更新日期:2020-01-01
down
wechat
bug