Phase angle is a useful predicting indicator for protein-energy wasting and cardiovascular risk among maintenance hemodialysis patients

被引:0
|
作者
Wang, Yun [1 ]
Chen, Yu [2 ]
Zhang, Liqin [1 ]
Zhuang, Ling [1 ]
Yang, Qianqian [1 ]
Wu, Qijing [1 ]
Tang, Zhengwen [1 ]
Shi, Shumin [1 ]
Fei, Bingru [1 ]
Chen, Lianhua [1 ]
Xue, Tongneng [2 ]
Xu, Yong [1 ]
Zhou, Hui [1 ]
机构
[1] Nanjing Med Univ, Affiliated Huaian 1 Peoples Hosp, Dept Nephrol, Huaian, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Affiliated Huaian 1 Peoples Hosp, Dept Cardiol, Huaian, Jiangsu, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Hemodialysis; Protein energy wasting; Bioelectrical impedance analysis; Phase angle; Cardiovascular risk; BIRTH-WEIGHT; MICROBIOTA; TRANSMISSION; ASSOCIATION; PATHOGEN; INFANTS; SHAPES; SITES;
D O I
10.1038/s41598-024-78957-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Protein-energy wasting (PEW) is a major contributor to the high mortality among maintenance hemodialysis (MHD) patients. Cardiovascular disease (CVD) is the leading cause of death in dialysis patients, and PEW can significantly increase cardiovascular mortality in MHD patients. Previous studies have confirmed that PA may be a good objective indicator for determining the nutritional status and prognosis of MHD patients. Our study aimed to determine the predictive value of phase angle (PA) as detected by bioelectrical impedance analysis (BIA) on PEW and cardiovascular (CV) risk among MHD patients. Our retrospective observational study involved 161 adult patients with HD. The Cardiovascular risk score is a risk model based on the Japan Dialysis Outcome and Practice Patterns Study (J-DOPPS). We established LASSO logistic regression analysis model to identify key parameters related to body composition that can predict PEW in MHD patients. The area under the curve (AUC) values for PA, appendicular skeletal muscle mass index (ASMI), body cell mass (BCM), and mid-arm circumference (MAC) in predicting PEW in male MHD patients were relatively large, with 0.708, 0.674, 0.663, and 0.735, respectively. The predicted PEW values of these parameters were slightly lower in female patients than in men. We incorporated PA, ASMI, BCM, and MAC into a model that predicted the incidence of PEW in maintenance hemodialysis patients using LASSO technology. We discovered that the model predicted a greater AUC of PEW occurrence than any single factor, 0.877 for men and 0.76 for women. The results of the univariate logistic regression analysis showed that the low PA tertile array group had a greater incidence of PEW than the high PA group (P < 0.001). Additionally, we also found that lower PA was associated with higher CV risk scores. The PA detected by bioelectrical impedance analysis could predict the risk of PEW and cardiovascular events among patients with MHD. When used in conjunction, PA, ASMI, BCM, and MAC have a high diagnostic efficacy for PEW in patients on maintenance hemodialysis.
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页数:9
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