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Evaluation of anemia, malnutrition, mineral, and bone disorder for maintenance hemodialysis patients based on bioelectrical impedance vector analysis (BIVA)

Clinical and Experimental Nephrology volume 24, pages 1162–1176 (2020)Cite this article

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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Author information

Author notes

  1. Zhijian Zhang, Daheng Yin and Hanzhi Chen contributed equally to this work.

Affiliations

  1. Department of Nephrology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, 299 Qingyang Rd, Wuxi, Jiangsu, 214023, China

    Zhijian Zhang, Daheng Yin, Hanzhi Chen, Bin Liu, Xiaobin Liu, Weiwei Shan, Jia Hua, Zhen Qi, Yue Zhang, Qiuhua Zhang, Yong Chen, Liang Wang & Zhuxing Sun

  2. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, 214122, China

    Daheng Yin & Ya Guo

Authors
  1. Zhijian Zhang
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  2. Daheng Yin
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  3. Hanzhi Chen
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  4. Bin Liu
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  5. Xiaobin Liu
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  6. Weiwei Shan
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  7. Jia Hua
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  9. Yue Zhang
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  10. Qiuhua Zhang
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  11. Yong Chen
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  12. Liang Wang
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Contributions

ZZ: manuscript editing, project development, data management, and analysis; DY: manuscript writing and data analysis; HC: manuscript editing, and data collection and analysis; BL, XL, WS, JH, ZQ, YZ, QZ, YC: data collection and analysis; YG: manuscript editing and data analysis; LW and ZS: conceive the idea and data management. All authors approve the final version of the manuscript.

Corresponding authors

Correspondence to Liang Wang, Ya Guo or Zhuxing Sun.

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The authors have declared that no conflict of interest exists.

Ethical approval

This study was approved the local institutional review board. The written informed consent was waived by the board, because this study is purely data analysis using historical data. All patients’ medical data were analyzed after patients’ records were anonymized and provided to the authors.

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Informed consent was obtained from all individual participants included in the study.

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Zhang, Z., Yin, D., Chen, H. et al. Evaluation of anemia, malnutrition, mineral, and bone disorder for maintenance hemodialysis patients based on bioelectrical impedance vector analysis (BIVA). Clin Exp Nephrol 24, 1162–1176 (2020). https://doi.org/10.1007/s10157-020-01945-1

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  • DOI: https://doi.org/10.1007/s10157-020-01945-1

Keywords

  • Bioimpedance
  • Chronic Hemodialysis
  • Phosphatemia
  • Calcium
  • Albumin
  • Nutrition