Skip to main content

Advertisement

SpringerLink
Log in

Bioelectrical Impedance Analysis for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis C Infection

  • Original Paper
  • Published:
Digestive Diseases and Sciences Aims and scope Submit manuscript

Abstract

Bioelectrical impedance analysis (BIA) is a non-invasive technique that measures electrical resistance (R) and reactance (Xc), which are then used to calculate phase angle (PA). The aim of this pilot study was to assess whether BIA can differentiate between minimal and advanced hepatic fibrosis in patients with chronic hepatitis C (HCV) infection. Twenty patients with HCV participated in this study, and were divided into minimal (Metavir 1) and advanced (Metavir 3 or 4) fibrosis groups. We obtained BIA measurements (R and Xc) in several axes and calculated PA from each pair of measurements. We found no statistically significant differences between the two groups with respect to PA, R, or Xc for the whole body, the trunk or the right upper quadrant measurements in any axis. Mean whole body PA was 7.0 and 7.1 (P = 0.9) in the minimal and advanced fibrosis groups, respectively. Bioelectrical impedance analysis did not demonstrate the ability to distinguish between minimal and advanced degrees of hepatic fibrosis in patients with chronic HCV infection.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Strader DB, Wright T, Thomas DL, Seeff LB (2004) Diagnosis, management, and treatment of hepatitis C. Hepatology 39(4):1147–1171

    Article  PubMed  Google Scholar 

  2. Dienstag JL, McHutchison JG (2006) American Gastroenterological Association medical position statement on the management of hepatitis C. Gastroenterology 130(1):225–230

    Article  PubMed  Google Scholar 

  3. Afdhal NH, Nunes D (2004) Evaluation of liver fibrosis: a concise review. Am J Gastroenterol 99(6):1160–1174

    Article  PubMed  Google Scholar 

  4. Perrillo RP (1997) The role of liver biopsy in hepatitis C. Hepatology 26(3 Suppl 1):57S–61S

    Article  PubMed  CAS  Google Scholar 

  5. Janes CH, Lindor KD (1993) Outcome of patients hospitalized for complications after outpatient liver biopsy. Ann Intern Med 118(2):96–98

    PubMed  CAS  Google Scholar 

  6. Piccinino F, Sagnelli E, Pasquale G, Giusti G (1986) Complications following percutaneous liver biopsy. A multicentre retrospective study on 68,276 biopsies. J Hepatol 2(2):165–173

    Article  PubMed  CAS  Google Scholar 

  7. Tobkes AI, Nord HJ (1995) Liver biopsy: review of methodology and complications. Dig Dis 13(5):267–274

    Article  PubMed  CAS  Google Scholar 

  8. Castera L, Foucher J, Bertet J, Couzigou P, de Ledinghen V (2006) FibroScan and FibroTest to assess liver fibrosis in HCV with normal aminotransferases. Hepatology 43(2):373–374; author reply 375–376

    Article  PubMed  Google Scholar 

  9. Castera L, Vergniol J, Foucher J, Le Bail B, Chanteloup E, Haaser M, et al (2005) Prospective comparison of transient elastography, Fibrotest, APRI, and liver biopsy for the assessment of fibrosis in chronic hepatitis C. Gastroenterology 128(2):343–350

    Article  PubMed  Google Scholar 

  10. Colletta C, Smirne C, Fabris C, Toniutto P, Rapetti R, Minisini R, et al (2005) Value of two noninvasive methods to detect progression of fibrosis among HCV carriers with normal aminotransferases. Hepatology 42(4):838–845

    Article  PubMed  Google Scholar 

  11. Ganne-Carrie N, Ziol M, de Ledinghen V, Douvin C, Marcellin P, Castera L, et al (2006) Accuracy of liver stiffness measurement for the diagnosis of cirrhosis in patients with chronic liver diseases. Hepatology 44(6):1511–1517

    Article  PubMed  Google Scholar 

  12. Leroy V, Hilleret MN, Sturm N, Trocme C, Renversez JC, Faure P, et al (2007) Prospective comparison of six non-invasive scores for the diagnosis of liver fibrosis in chronic hepatitis C. J Hepatol 46(5):775–782

    Article  PubMed  Google Scholar 

  13. Cobbold J, Lim A, Wylezinska M, Cunningham C, Crossey M, Thomas H, et al (2006) Magnetic resonance and ultrasound techniques for the evaluation of hepatic fibrosis. Hepatology 43(6):1401–1402; author reply 1402

    Article  PubMed  Google Scholar 

  14. Burroughs AK, Cholongitas E (2007) Non-invasive tests for liver fibrosis: encouraging or discouraging results? J Hepatol 46(5):751–755

    Article  PubMed  Google Scholar 

  15. Barbosa-Silva MC, Barros AJ (2005) Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care 8(3):311–317

    Article  PubMed  Google Scholar 

  16. Gupta D, Lammersfeld CA, Burrows JL, Dahlk SL, Vashi PG, Grutsch JF, et al (2004) Bioelectrical impedance phase angle in clinical practice: implications for prognosis in advanced colorectal cancer. Am J Clin Nutr 80(6):1634–1638

    PubMed  CAS  Google Scholar 

  17. Gupta D, Lis CG, Dahlk SL, Vashi PG, Grutsch JF, Lammersfeld CA (2004) Bioelectrical impedance phase angle as a prognostic indicator in advanced pancreatic cancer. Br J Nutr 92(6):957–962

    Article  PubMed  CAS  Google Scholar 

  18. Ott M, Fischer H, Polat H, Helm EB, Frenz M, Caspary WF, et al (1995) Bioelectrical impedance analysis as a predictor of survival in patients with human immunodeficiency virus infection. J Acquir Immune Defic Syndr Hum Retrovirol 9(1):20–25

    PubMed  CAS  Google Scholar 

  19. Schwenk A, Beisenherz A, Romer K, Kremer G, Salzberger B, Elia M (2000) Phase angle from bioelectrical impedance analysis remains an independent predictive marker in HIV-infected patients in the era of highly active antiretroviral treatment. Am J Clin Nutr 72(2):496–501

    PubMed  CAS  Google Scholar 

  20. Slinde F, Gronberg A, Engstrom CP, Rossander-Hulthen L, Larsson S (2005) Body composition by bioelectrical impedance predicts mortality in chronic obstructive pulmonary disease patients. Respir Med 99(8):1004–1009

    Article  PubMed  Google Scholar 

  21. Selberg O, Selberg D (2002) Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol 86(6):509–516

    Article  PubMed  CAS  Google Scholar 

  22. Bedossa P, Poynard T (1996) An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 24(2):289–293

    Article  PubMed  CAS  Google Scholar 

  23. Barbosa-Silva MC, Barros AJ, Wang J, Heymsfield SB, Pierson RN Jr (2005) Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Am J Clin Nutr 82(1):49–52

    PubMed  CAS  Google Scholar 

  24. Guida B, Laccetti R, Gerardi C, Trio R, Perrino NR, Strazzullo P, et al (2007) Bioelectrical impedance analysis and age-related differences of body composition in the elderly. Nutr Metab Cardiovasc Dis 17(3):175–180

    Article  PubMed  Google Scholar 

  25. Bosy-Westphal A, Danielzik S, Dorhofer RP, Piccoli A, Muller MJ (2005) Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis. Am J Clin Nutr 82(1):60–68

    PubMed  CAS  Google Scholar 

Download references

Acknowledgements

This study was funded through a grant from Petra Biotek, Inc., Harrisville, MI, USA.

The authors were responsible for the study design, data collection, analyses, interpretation, and preparation of the manuscript. The funding source did not influence any of these steps. Disclosure statement: None of the authors has any commercial association that might represent a conflict of interest in relation to the submitted manuscript.

Author information

Authors and Affiliations

  1. Division of Gastroenterology, John D. Dingell VA Medical Center, 4646 John R Road, Detroit, MI, 48201, USA

    Fadi Antaki

  2. Division of Gastroenterology and Hepatology, Henry Ford Health System, 2799 W. Grand Blvd., K-7, Detroit, MI, 48202, USA

    M. Margaret French, Dilip K. Moonka & Stuart C. Gordon

Authors
  1. Fadi Antaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Margaret French
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dilip K. Moonka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Stuart C. Gordon
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Stuart C. Gordon.

Additional information

Meeting presentation: The study results were presented as a poster at the Digestive Disease Week, in Los Angeles, May 2006. The abstract was published in Gastroenterology 2006 130(4):A790.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Antaki, F., French, M.M., Moonka, D.K. et al. Bioelectrical Impedance Analysis for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis C Infection. Dig Dis Sci 53, 1957–1960 (2008). https://doi.org/10.1007/s10620-007-0071-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10620-007-0071-3

Keywords

Search

Navigation