Suppr超能文献

疾病状态下生物电相角的决定因素。

Determinants of bioelectrical phase angle in disease.

机构信息

Department of General Medicine, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Germany.

出版信息

Br J Nutr. 2012 Apr;107(8):1217-20. doi: 10.1017/S0007114511004028. Epub 2011 Sep 28.

Abstract

Phase angle (PhA), a parameter of bioelectrical impedance analysis, is a well-known predictor of morbidity and mortality in various diseases. The causes of decreased PhA are, however, not yet completely understood. We therefore investigated determinants of PhA in 777 hospitalised patients in a retrospective analysis. PhA was assessed by bioelectrical impedance analysis at 50 KHz. Subjective global assessment (SGA) was used to evaluate nutritional status. Age, sex, BMI as well as nutritional status (SGA), benign or malignant disease and C-reactive protein (CRP) were investigated as potential determinants of PhA and standardised PhA (SPhA) = (observed PhA - mean PhA of reference values)/standard deviation of reference values in a general linear model regression analysis. Next to age (estimated effect size, 46·6%; P<0·0001), malnutrition (39·1%; P<0·0001) emerged as a major PhA determinant in our study population. Moreover, sex (6·4%; P<0·0001), CRP (4·4%; P<0·0001) and BMI (3·5%; P < 0·0001) exhibited a significant influence on PhA, whereas malignant disease showed no significant effect in this model. The only significant determinants of SPhA were malnutrition (85·4%; P<0·0001) and inflammation (9·6 %; P<0·0001). In conclusion, next to the established predictors, malnutrition and inflammation have a strong impact on PhA in sick individuals, which partly explains its prognostic power. When investigating the SPhA, only malnutrition and inflammation were found to be significant predictors, as a result of which the SPhA is considered a more suitable indicator of nutritional and health status.

摘要

相位角(PhA)是生物电阻抗分析的一个参数,是各种疾病发病率和死亡率的已知预测指标。然而,导致 PhA 降低的原因尚不完全清楚。因此,我们在回顾性分析中调查了 777 名住院患者的 PhA 决定因素。PhA 通过 50 KHz 的生物电阻抗分析进行评估。主观全面评估(SGA)用于评估营养状况。年龄、性别、BMI 以及营养状况(SGA)、良性或恶性疾病和 C 反应蛋白(CRP)被作为 PhA 和标准化 PhA(SPhA)的潜在决定因素进行研究,SPhA =(观察到的 PhA-参考值的平均 PhA)/参考值的标准偏差,在一般线性模型回归分析中。除了年龄(估计效应大小,46.6%;P<0.0001)外,营养不良(39.1%;P<0.0001)也是我们研究人群中 PhA 的主要决定因素。此外,性别(6.4%;P<0.0001)、CRP(4.4%;P<0.0001)和 BMI(3.5%;P < 0.0001)对 PhA 也有显著影响,而恶性疾病在该模型中没有显著影响。SPhA 的唯一显著决定因素是营养不良(85.4%;P<0.0001)和炎症(9.6%;P<0.0001)。总之,除了已建立的预测因素外,营养不良和炎症对患病个体的 PhA 有强烈影响,这在一定程度上解释了其预后能力。当研究 SPhA 时,只有营养不良和炎症被认为是显著的预测因素,因此 SPhA 被认为是更适合营养和健康状况的指标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验