Abstract
Significant weight loss caused by malnutrition seems to be one of the leading symptoms associated with cancer development. Presence of malnutrition in oncologic patients is most frequently a result of insufficient nutrition and overactivation of inflammatory response. It leads to progressive wasting of the body as a consequence of the increased body catabolism and changes in body composition, and even may develop cancer cachexia – a systemic wasting that cannot be completely compensated by conventional nutrition support. In numerous cancer patients, presence of malnutrition is commonly a first indicator and symptom of the tumor development. The nutrition status of such patients is significantly associated with risk of the disease complication during therapy and may result in extension of patients’ hospitalization. Moreover, in some group of cancer individuals, the progressive malnutrition leading to cachexia is a main cause of death and not underlying disease. Based on above facts early malnutrition assessment is required for cancer nutritional support. There are various tools used in nutritional status evaluation in the form of scales, questionnaires or risk assessments, anthropometric examinations, and biochemical tests. Despite that they provide a valuable information about patient’s nutrition status, also require arrangement various method of their evaluation. Currently, the particular attention is drawn into imaging tools which could provide as a single method the assessment of a body composition. Among these tools the bioelectrical impedance analysis serves as an objective, reliable, and noninvasive method of malnutrition assessment. Bioelectrical impedance analysis measures body compositions electronically, and parameters obtained during examination refer to body vitality at a cellular level, e.g., fluid distribution in the body, fat mass or fat free mass. Also, other parameters derived from bioelectrical impedance analysis demonstrate high clinical utility in malnutrition assessment in cancer patients.
Appropriate evaluation of body composition in cancer patients may provide diagnostic or prognostic information, which seems more valuable than weight loss or body mass index change. In present study the literature review of bioelectrical impedance analysis usefulness in cancer malnutrition assessment is described.
This is a preview of subscription content, log in via an institution.
Abbreviations
- BCM:
-
Body cell mass
- BF:
-
Body fat
- BIA:
-
Bioelectrical impedance analysis
- BMI:
-
Body mass index
- Cm:
-
Capacitance of membrane
- CRC:
-
Colorectal cancer
- ECM:
-
Extracellular mass
- ECW:
-
Extracellular water
- FFM:
-
Fat free mass
- FM:
-
Fat mass
- HCC:
-
Hepatocellular carcinoma
- HNC:
-
Head and neck cancer
- ICW:
-
Intracellular water
- LBM:
-
Lean body mass
- NSCLC:
-
Non–small cell lung cancer
- PA:
-
Phase angle
- R:
-
Resistance
- SGA:
-
Subjective global assessment
- TBW:
-
Total body water
- Xc:
-
Reactance
- Z:
-
Impedance
References
Argilés JM, López-Soriano FJ, Busquets S (2013) Mechanisms and treatment of cancer cachexia. Nutr Metab Cardiovasc Dis 23(Suppl 1):S19–S24
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 8:311–317
Büntzel J, Krauß T, Büntzel H et al (2012) Nutritional parameters for patients with head and neck cancer. Anticancer Res 32(5):2119–2123
Burden ST, Hill J, Shaffer JL et al (2010) Nutritional status of preoperative colorectal cancer patients. J Hum Nutr Diet 23(4):402–407
Castanho IA, Lopes AJ, Koury JC et al (2013) Relationship between the phase angle and volume of tumours in patients with lung cancer. Ann Nutr Metab 62(1):68–74
Cederholm T, Bosaeus I, Barazzoni R et al (2015) Diagnostic criteria for malnutrition – an ESPEN Consensus Statement. Clin Nutr 34(3):335–340
Cederholm T, Barazzoni R, Austin P et al (2016) ESPEN guidelines on definitions and terminology of clinical nutrition. Clin Nutr. doi:10.1016/j.clnu.2016.09.004
Cole KS (1972) Membranes, ions and impulses: a chapter of classical biophysics. University of California Press, Berkeley, pp 20–43
De Oliveira PG, Pereira dos Santos AS, De Mello ED (2012) Bioelectrical impedance phase angle: utility in clinical practice. Int J Neurol 5:123–127
Dewys WD, Begg C, Lavin PT et al (1980) Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. Am J Med 69(4):491–497
Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12(5):489–495
Gonzalez MC, Nin LA, Reijven PLM et al (2013) Metoda bioelektrycznej impedancji. In: Sobotka L (ed) Podstawy żywienia klinicznego, 4th edn. Scientifica, Kraków, pp 15–22
Grundmann O, Yoon SL, Williams JJ (2015) The value of bioelectrical impedance analysis and phase angle in the evaluation of malnutrition and quality of life in cancer patients-a comprehensive review. Eur J Clin Nutr 69(12):1290–1297
Gupta D, Lammersfeld CA, Burrows JL 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
Gupta D, Lis CG, Granick J et al (2006) Malnutrition was associated with poor quality of life in colorectal cancer: a retrospective analysis. J Clin Epidemiol 59(7):704–709
Gupta D, Lammersfeld CA, Vashi PG et al (2008a) Bioelectrical impedance phase angle as a prognostic indicator in breast cancer. BMC Cancer 8:249
Gupta D, Lis CG, Dahlk SL et al (2008b) The relationship between bioelectrical impedance phase angle and subjective global assessment in advanced colorectal cancer. Nutr J 7:19
Gupta D, Lammersfeld CA, Vashi PG et al (2009) Bioelectrical impedance phase angle in clinical practice: implications for prognosis in stage IIIB and IV NSCLC. BMC Cancer 9:37
Jager-Wittenaar H, Dijkstra PU, Earthman CP et al (2014) Validity of bioelectrical impedance analysis to assess fat-free mass in patients with head and neck cancer: an exploratory study. Head Neck 36(4):585–591
Jagielska B (2011) Leczenie żywieniowe jako terapia wspomagająca w onkologii. In: Meder J (ed) Podstawy onkologii klinicznej, Warszawa
Kushner R (1992) Bioelectrical impedance analysis: a review of principles and applications. J Am Coll Nutr 11(2):199–209
Kyle UG, Bosaeus I, De Lorenzo AD et al (2004) Composition of the ESPEN Working Group. Bioelectrical impedance analysis –part I: review of principles and methods. Clin Nutr 23(5):1226–1243
Lee SY, Lee YJ, Yang JH et al (2014) The Association between phase angle of bioelectrical impedance analysis and survival time in advanced cancer patients: preliminary Study. Korean J Fam Med 35(5):251–256
Lopes JP, de Castro Cardoso Pereira PM, dos Reis Baltazar Vicente AF et al (2013) Nutritional status assessment in colorectal cancer patients. Nutr Hosp 28(2):412–418
Małecka-Massalska T, Smoleń A, Morshed K (2014a) Tissue electrical properties in head and neck tumors before and after surgery: preliminary observations. Indian J Cancer 51:209–213
Małecka-Massalska T, Smoleń A, Morshed K (2014b) Extracellular-to-body cell mass ratio and subjective global assessment in head-and-neck cancers. Curr Oncol 21(1):e62–e66
Małecka-Massalska T, Mlak R, Smoleń A et al (2016a) Bioelectrical impedance phase angle and subjective global assessment in detecting malnutrition among newly diagnosed head and neck cancer patients. Eur Arch Otorhinolaryngol 273(5):1299–1305
Małecka-Massalska T, Mlak R, Smoleń A et al (2016b) Capacitance of membrane as a prognostic indicator of survival in head and neck cancer. PLoS One 11(11):e0165809
Mulasi U, Kuchnia AJ, Cole AJ et al (2015) Bioimpedance at the bedside: current applications, limitations, and opportunities. Nutr Clin Pract 30(2):180–193
Muramatsu M, Tsuchiya A, Ohta S et al (2015) Measuring body composition using the bioelectrical impedance method can predict the outcomes of gemcitabine-based chemotherapy in patients with pancreatobiliary tract cancer. Oncol Lett 10(6):3535–3541
Norman K, Stobäus N, Zocher D et al (2010) Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer. Am J Clin Nutr 92(3):612–619
Piccoli A (2002) Patterns of bioelectrical impedance vector analysis: learning from electrocardiography and forgetting electric circuit models. Nutrition 18:520–521
Piccoli A, Rossi B, Pillon L et al (1994) A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph. Kidney Int 46:534–539
Piccoli A, Pillon L, Favaro E (1997) Asymmetry of the total body water prediction bias using the impedance index. Nutrition 13:438–441
Piccoli A, Pillon L, Dumler F (2002) Impedance vector distribution by sex, race, body mass index, and age in the United States: standard reference intervals as bivariate Z scores. Nutrition 18:153–167
Richter E, Denecke A, Klapdor S et al (2012) Parenteral nutrition support for patients with pancreatic cancer-improvement of the nutritional status and the therapeutic outcome. Anticancer Res 32(5):2111–2118
Sánchez-Lara K, Turcott JG, Juárez E et al (2012) Association of nutrition parameters including bioelectrical impedance and systemic inflammatory response with quality of life and prognosis in patients with advanced non-small-cell lung cancer: a prospective study. Nutr Cancer 64(4):526–534
Schütte K, Tippelt B, Schulz C et al (2015) Malnutrition is a prognostic factor in patients with hepatocellular carcinoma (HCC). Clin Nutr 34(6):1122–1127
Schwenk A, Ward LC, Elia M et al (1998) Bioelectrical impedance analysis predicts outcome in patients with suspected bacteremia. Infection 26:277–282
Schwenk A, Beisenherz A, Römer K et al (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 72:496–501
Selberg O, Selberg D (2002) Norms and correlates of bioimpedance phase angle in healthy human subject, hospitalized patients, and patient with liver cirrhosis. Eur J Appl Physiol 86:509–516
Slaviero KA, Read JA, Clarke SJ et al (2003) Baseline nutritional assessment in advanced cancer patients receiving palliative chemotherapy. Nutr Cancer 46(2):148–157
Sobotka I (ed) (2012) Basics in clinical nutrition, 4th edn. Galen
Souza TMR, Alves CI, Guillermo CVL (2015) Cutoff point of the phase angle in pre-radiotherapy cancer patients. Nutr Hosp 32(5):2253–2260
Stegel P, Kozjek NR, Brumen BA et al (2016) Bioelectrical impedance phase angle as indicator and predictor of cachexia in head and neck cancer patients treated with (chemo)radiotherapy. Eur J Clin Nutr 70(5):602–606
Toso S, Piccoli A, Gusella M et al (2000) Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis. Nutrition 16:120–124
Toso S, Piccoli A, Gusella M et al (2003) Bioimpedance vector pattern in cancer patients without disease versus locally advanced or disseminated disease. Nutrition 19:510–514
Trabelsi Alouane L, Bedioui A, Rahal K (2006) Bio-impedance analysis: screening of malnutrition in a group of Tunisian with cancer patients. Bull Cancer 93(10):1055–1061
Władysiuk MS, Mlak R, Morshed K et al (2016) Phase angle is considered to be a nutritional indicator in patients with head and neck cancer in detecting malnutrition. Curr Oncol 23(5):e481–e487
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this entry
Cite this entry
Małecka-Massalska, T., Powrózek, T., Mlak, R. (2017). Bioelectrical Impedance Analysis and Malnutrition in Cancer. In: Preedy, V., Patel, V. (eds) Handbook of Famine, Starvation, and Nutrient Deprivation. Springer, Cham. https://doi.org/10.1007/978-3-319-40007-5_17-1
Download citation
DOI: https://doi.org/10.1007/978-3-319-40007-5_17-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40007-5
Online ISBN: 978-3-319-40007-5
eBook Packages: Springer Reference MedicineReference Module Medicine