相位角作为客观预测因素对头颈部癌症男性患者放疗后体成分改变的影响。
Phase Angle as an Objective and Predictive Factor of Radiotherapy-induced Changes in Body Composition of Male Patients With Head and Neck Cancer.
机构信息
Department of Human Physiology, Medical University of Lublin, Lublin, Poland
Department of Human Physiology, Medical University of Lublin, Lublin, Poland.
出版信息
In Vivo. 2019 Sep-Oct;33(5):1645-1651. doi: 10.21873/invivo.11650.
BACKGROUND
Unfavorable changes in body composition are frequent among patients with head and neck cancer (HNC). Unfortunately, in daily clinical practice, there is a lack of reliable diagnostic tools for predicting changes in body composition in individuals following radiotherapy (RT). Among non-invasive tools, bioelectrical impedance analysis (BIA) seems to be most promising. One BIA parameter, the phase angle (PA), reflects condition of various body cells and their mass in detail.
MATERIALS AND METHODS
Using BIA, the body composition was measured prior to and after RT in 52 male patients with HNC. PA derived from BIA prior to RT was tested as a predictor of body composition changes developing during RT.
RESULTS
Patients with low PA had a greater than 9.3-fold higher chance of body mass index (BMI) reduction below 18.5 kg/m and over 5.9-fold and 4.2-fold higher chance of lean mass and fat mass reduction after therapy end compared with patients with a high PA value. PA values demonstrated significant diagnostic accuracy for detection of fat-free mass, lean mass and BMI reduction in the study group [area under the curve (AUC)=0.781, 0.774 and 0.786, respectively].
CONCLUSION
PA prior to RT is a useful marker for selection of individuals with HNC who are at a high risk of unfavorable changes in body composition.
背景
头颈部癌症（HNC）患者的身体成分经常发生不良变化。不幸的是，在日常临床实践中，缺乏可靠的诊断工具来预测放疗（RT）后个体身体成分的变化。在非侵入性工具中，生物电阻抗分析（BIA）似乎最有前途。BIA 的一个参数，相位角（PA），详细反映了各种身体细胞及其质量的状况。
材料和方法
使用 BIA，在 52 名男性 HNC 患者接受 RT 前后测量身体成分。在 RT 之前从 BIA 获得的 PA 被测试为预测 RT 期间发生的身体成分变化的指标。
结果
与高 PA 值的患者相比，PA 值低的患者 BMI 降低到 18.5kg/m 以下的可能性高出 9.3 倍，治疗结束后瘦体重和脂肪质量降低的可能性高出 5.9 倍和 4.2 倍。PA 值对研究组中无脂肪质量、瘦体重和 BMI 降低的检测具有显著的诊断准确性（曲线下面积（AUC）分别为 0.781、0.774 和 0.786）。
结论
RT 前的 PA 是选择身体成分不良变化风险较高的 HNC 个体的有用标志物。
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