Skip to main content
Log in

Effect of peritoneal dialysate on bioelectrical impedance analysis variability in pediatric patients receiving peritoneal dialysis

  • Original Article
  • Published:
Pediatric Nephrology Aims and scope Submit manuscript

Abstract

Background

Previous adult studies have yielded conflicting results regarding whether the presence (D +) or absence (D-) of peritoneal dialysate affects the accuracy of bioelectrical impedance analysis (BIA) measurements. The aim of this study was to investigate whether the accuracy of BIA data varies between D + and D- measurements in children.

Methods

This cross-sectional study recruited chronic kidney disease stage 5 patients aged 3 to 18 years who received peritoneal dialysis. Body composition was assessed by multifrequency BIA, and values were compared between D + and D- measurements using the intraclass correlation coefficient (ICC).

Results

Fifty paired BIA measurements were collected from 18 patients with a mean age of 13.6 ± 4.1 years and a mean dialysate fill volume of 1,006 ± 239.7 ml/m2. Sixteen out of 17 BIA parameters (94.1%) exhibited excellent correlations between D + and D- measurements (ICC values = 0.954, 0.998). There was a trend of increased fluid status, including extracellular water, edema index, and overhydration, in D + measurements, with mean differences (95% CIs) of 0.5 (0.4, 0.6) L, 0.002 (0.001, 0.002), and 0.1 (0.1, 0.2) L, respectively. Soft lean mass and fat-free mass were higher in D + measurements, with mean differences (95% CIs) of 1.4 (1.2, 1.6), and 1.6 (1.4, 1.8) kg, respectively. In addition, patients older than 10 years had a stronger correlation between D + and D- measurements than younger patients.

Conclusions

A total of 94.1% of BIA parameters exhibited excellent correlations between D + and D- measurements, especially patients older than 10 years. We recommend that BIA measurements be collected from children regardless of the presence of peritoneal dialysate.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data availability

Not applicable.

Code availability

Not applicable.

References

  1. Harada R, Hamasaki Y, Okuda Y et al (2022) Epidemiology of pediatric chronic kidney disease/kidney failure: learning from registries and cohort studies. Pediatr Nephrol 37:1215–1229. https://doi.org/10.1007/s00467-021-05145-1

    Article  PubMed  Google Scholar 

  2. Liu FX, Gao X, Inglese G et al (2015) A global overview of the impact of peritoneal dialysis first or favored policies: An opinion. Perit Dial Int 35:406–420. https://doi.org/10.3747/pdi.2013.00204

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Iyengar A, Raj JM, Vasudevan A (2021) Protein energy wasting in children with chronic kidney disease and end-stage kidney disease: An observational study. J Ren Nutr 31:270–277. https://doi.org/10.1053/j.jrn.2020.08.002

    Article  CAS  PubMed  Google Scholar 

  4. Hayes W, Paglialonga F (2019) Assessment and management of fluid overload in children on dialysis. Pediatr Nephrol 34:233–242. https://doi.org/10.1007/s00467-018-3916-4

    Article  PubMed  Google Scholar 

  5. Haapio M, Lentini PA, House AA et al (2012) Bioelectrical impedance analysis in the assessment of hydration status in peritoneal dialysis patients. Contrib Nephrol 178:238–245. https://doi.org/10.1159/000337885

    Article  PubMed  Google Scholar 

  6. Kim YL, Biesen WV (2017) Fluid overload in peritoneal dialysis patients. Semin Nephrol 37:43–53. https://doi.org/10.1016/j.semnephrol.2016.10.006

    Article  PubMed  Google Scholar 

  7. Sergi G, De Rui M, Stubbs B et al (2017) Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons. Aging Clin Exp Res 29:591–597. https://doi.org/10.1007/s40520-016-0622-6

    Article  PubMed  Google Scholar 

  8. Ward LC (2019) Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation. Eur J Clin Nutr 73:194–199. https://doi.org/10.1038/s41430-018-0335-3

    Article  PubMed  Google Scholar 

  9. Ikizler TA, Burrowes JD, Byham-Gray LD et al (2020) KDOQI clinical practice guideline for nutrition in CKD: 2020 update. Am J Kidney Dis 76:S1–S107. https://doi.org/10.1053/j.ajkd.2020.05.006

    Article  CAS  PubMed  Google Scholar 

  10. Cheng CH, Chen MY, Lee YJ et al (2000) Assessment of nutritional status in continuous ambulatory peritoneal dialysis patients: a comparison of bioelectric impedance and conventional methods. Zhonghua Yi Xue Za Zhi (Taipei) 63:758–764

    CAS  PubMed  Google Scholar 

  11. Davenport A (2013) Does peritoneal dialysate affect body composition assessments using multi-frequency bioimpedance in peritoneal dialysis patients? Eur J Clin Nutr 67:223–225. https://doi.org/10.1038/ejcn.2012.205

    Article  CAS  PubMed  Google Scholar 

  12. Kang SH, Cho KH, Park JW et al (2014) Body composition measurements using bioimpedance analysis in peritoneal dialysis patients are affected by the presence of dialysate. Nephrology (Carlton) 19:727–731. https://doi.org/10.1111/nep.12322

    Article  CAS  PubMed  Google Scholar 

  13. Parmentier SP, Schirutschke H, Schmitt B et al (2013) Influence of peritoneal dialysis solution on measurements of fluid status by bioimpedance spectroscopy. Int Urol Nephrol 45:229–232. https://doi.org/10.1007/s11255-012-0216-y

    Article  PubMed  Google Scholar 

  14. Than N, Woodrow G, Oldroyd B et al (2000) Effect of peritoneal fluid on whole body and segmental multiple frequency bioelectrical impedance in patients on peritoneal dialysis. Eur J Clin Nutr 54:450–451. https://doi.org/10.1038/sj.ejcn.1600968

    Article  CAS  PubMed  Google Scholar 

  15. Arroyo D, Panizo N, Abad S et al (2015) Intraperitoneal fluid overestimates hydration status assessment by bioimpedance spectroscopy. Perit Dial Int 35:85–89. https://doi.org/10.3747/pdi.2013.00187

    Article  PubMed  PubMed Central  Google Scholar 

  16. Warady BA, Schaefer F, Bagga A et al (2020) Prescribing peritoneal dialysis for high-quality care in children. Perit Dial Int 40:333–340. https://doi.org/10.1177/0896860819893805

    Article  PubMed  Google Scholar 

  17. Inbody, Co, Ltd (2015) Inbody user’s manual. Inbody Co Ltd, Seoul, Korea

    Google Scholar 

  18. Wizemann V, Wabel P, Chamney P et al (2009) The mortality risk of overhydration in haemodialysis patients. Nephrol Dial Transplant 24:1574–1579. https://doi.org/10.1093/ndt/gfn707

    Article  PubMed  PubMed Central  Google Scholar 

  19. Fischbach M, Terzic J, Menouer S et al (2000) Optimal volume prescription for children on peritoneal dialysis. Perit Dial Int 20:603–606. https://doi.org/10.1177/089686080002000604

    Article  CAS  PubMed  Google Scholar 

  20. White CT, Gowrishankar M, Feber J et al (2006) Clinical practice guidelines for pediatric peritoneal dialysis. Pediatr Nephrol 21:1059–1066. https://doi.org/10.1007/s00467-006-0099-1

    Article  PubMed  Google Scholar 

  21. Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163. https://doi.org/10.1016/j.jcm.2016.02.012

    Article  PubMed  PubMed Central  Google Scholar 

  22. Bureau of Nutrition, Department of Public Health Thailand, Ministry of Public Health (2021) National growth reference for children 5–19 years. Thamduayjai Co., Ltd, Bangkok

  23. Kaspar CD, Bholah R, Bunchman TE (2016) A review of pediatric chronic kidney disease. Blood Purif 41:211–217. https://doi.org/10.1159/000441737

    Article  CAS  PubMed  Google Scholar 

  24. Milani GP, Groothoff JW, Vianello FA et al (2017) Bioimpedance and fluid status in children and adolescents treated with dialysis. Am J Kidney Dis 69:428–435. https://doi.org/10.1053/j.ajkd.2016.10.023

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank Miss Kwanjai Chotipanang, a medical scientist in the Division of Nutrition, Department of Pediatrics for her assistance with BIA measurements and Miss Maturin Juntongsree for her assistance with financial documentation.

Funding

This study was funded by the Research Department, Faculty of Medicine, Mahidol University, Bangkok, Thailand, grant number (IO) R016535033.

Author information

Authors and Affiliations

Authors

Contributions

1. Natthida Prukngampun designed the study, collected the data, performed the analysis, interpreted the data, drafted the initial manuscript, and approved the final manuscript as submitted.

2. Narumon Densupsoontorn interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

3. Anirut Pattaragarn interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

4. Julaporn Pooliam performed the analysis, interpreted the data and approved the final manuscript as submitted.

5. Intraparch Tinnabut assisted with draining peritoneal dialysate, arranged for BIA measurements, and approved the final manuscript as submitted.

6. Achra Sumboonnanonda interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

7. Suroj Supavekin interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

8. Nuntawan Piyaphanee interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

9. Kraisoon Lomjansook interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

10. Yarnarin Thunsiribuddhichai interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

11. Thanaporn Chaiyapak made substantial contributions to the conception of the study, designed the study, interpreted the data, revised the work critically for important intellectual content, and approved the final manuscript as submitted.

Corresponding author

Correspondence to Thanaporn Chaiyapak.

Ethics declarations

Ethics approval

This study was approved by the Institutional Review Board of Siriraj Hospital.

Consent to participate

Informed consent and assent were obtained from all parents and participants, respectively.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Prukngampun, N., Densupsoontorn, N., Pattaragarn, A. et al. Effect of peritoneal dialysate on bioelectrical impedance analysis variability in pediatric patients receiving peritoneal dialysis. Pediatr Nephrol 39, 1499–1507 (2024). https://doi.org/10.1007/s00467-023-06219-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00467-023-06219-y

Keywords

Navigation