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  • Title: Evaluation of anemia, malnutrition, mineral, and bone disorder for maintenance hemodialysis patients based on bioelectrical impedance vector analysis (BIVA).
    Author: Zhang Z, Yin D, Chen H, Liu B, Liu X, Shan W, Hua J, Qi Z, Zhang Y, Zhang Q, Chen Y, Wang L, Guo Y, Sun Z.
    Journal: Clin Exp Nephrol; 2020 Dec; 24(12):1162-1176. PubMed ID: 32779058.
    Abstract:
    BACKGROUND: ESRD (End-stage renal disease) treatment is a comprehensive medical process and requires numerous serological biochemical tests (SBTs) in diagnosis. To reduce these invasive, expensive, cumbersome, and time-consuming SBTs, there is a need to develop an alternative serological biochemical composition evaluation method. Bioelectrical impedance analysis (BIA) is affected by body's chemical and physical components, which might be correlated with serological biochemical composition and can be potentially used to evaluate biochemical composition in hemodialysis patient treatments. In this work, the relationship of classic and specific bioelectrical impedance vector analysis (BIVA) with major serological biochemical indexes in maintenance hemodialysis (MHD) patients was examined. METHODS: Bioelectrical and biochemical datasets were measured from 280 women and 408 men and formed 3872 effective biochemical-bioelectrical records in total. Statistical analysis was performed. RESULTS: The results show that BIVA vectors have strong relationship with phosphorus, hemoglobin, and PTH in both male and female groups. Strong correlation was also observed between Ca, albumin, CHOL, LDLC, and BIVA vectors in the male group. In the female group, a significant correlation was observed between classic BIVA values and NT-proBNP. SVM models are effective for classifying biochemical indexes. CONCLUSIONS: The obtained correlations and SVM classification models imply that BIVA can be used as a preliminary tool to evaluate and classify the degree of anemia, malnutrition, fluid overload, and mineral and bone disorder (MBD) in MHD patients by reducing the number of SBTs.
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