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Published in: The journal of nutrition, health & aging 5/2018

01-05-2018

Relation of Disease with Standardized Phase Angle Among Older Patients

Authors: C. E. Graf, F. R. Herrmann, Laurence Genton

Published in: The journal of nutrition, health & aging | Issue 5/2018

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Abstract

Background

A low phase angle (PA) has been associated with negative outcome in specific diseases. However, many patients suffer from several co-morbidities. This study aims at identifying the impact of the type and the severity of diseases on PA in a retrospective cohort study of older people.

Methods

We included all people ≥65 years who underwent a PA measurement (Nutriguard®) between 1990 and 2011 at the Geneva University Hospitals. PA was standardized for gender, age and body mass index according to German reference values. Co-morbidities were reported in form of the Cumulative Illness Rating Scale which considers 14 different organs/systems (disease categories), each rated from 0 (healthy) to 4 (severe illness) (severity grades). The association between the diseases categories and standardized PA was evaluated by a multivariate linear regression. For each significant disease category, we performed univariate regression models. The adjusted R2 was used to identify the best predictors of standardized PA. We considered that the severity grade affected standardized PA if there was a progressive decrease in the regression coefficients.

Results

We included 1181 people (37% women). The multivariate regression model showed that the disease categories explain 17% of the variance of standardized PA. Many disease categories affect standardized PA and the ones best associated with standardized PA were the hematopoietic and vascular (R2 7.4%), the musculo-skeletal (R2 5.5%) and the respiratory (R2 4.0%) diseases. The regression coefficients in the univariate linear regression model decreased progressively with higher severity grades in respiratory (-0.15, -0.27, -0.55, -0.67) and musculo-skeletal diseases (-0.09, -0.46, -0.85, -0.86).

Conclusions

Many different diseases affect standardized PA. The higher the severity grade in musculo-skeletal and respiratory diseases, the lower is the standardized PA.
Literature
1.
go back to reference Gonzalez MC, Barbosa-Silva TG, Bielemann RM, Gallagher D, Heymsfield SB. Phase angle and its determinants in healthy subjects: influence of body composition. Am J Clin Nutr. 2016 Mar;103(3):712–6. PubMed PMID: 26843156.CrossRefPubMed Gonzalez MC, Barbosa-Silva TG, Bielemann RM, Gallagher D, Heymsfield SB. Phase angle and its determinants in healthy subjects: influence of body composition. Am J Clin Nutr. 2016 Mar;103(3):712–6. PubMed PMID: 26843156.CrossRefPubMed
2.
go back to reference Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr. 1988 Jul;48(1):16–23. PubMed PMID: 3389323.CrossRefPubMed Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr. 1988 Jul;48(1):16–23. PubMed PMID: 3389323.CrossRefPubMed
3.
go back to reference Bosy-Westphal A, Danielzik S, Dorhofer RP, Later W, Wiese S, Muller MJ. Phase angle from bioelectrical impedance analysis: population reference values by age, sex, and body mass index. JPEN J Parenter Enteral Nutr. 2006 Jul-Aug;30(4):309–16. PubMed PMID: 16804128.CrossRefPubMed Bosy-Westphal A, Danielzik S, Dorhofer RP, Later W, Wiese S, Muller MJ. Phase angle from bioelectrical impedance analysis: population reference values by age, sex, and body mass index. JPEN J Parenter Enteral Nutr. 2006 Jul-Aug;30(4):309–16. PubMed PMID: 16804128.CrossRefPubMed
4.
go back to reference Barbosa-Silva MC, Barros AJ, Wang J, Heymsfield SB, Pierson RN, Jr. Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Am J Clin Nutr. 2005 Jul;82(1):49–52. PubMed PMID: 16002799.CrossRefPubMed Barbosa-Silva MC, Barros AJ, Wang J, Heymsfield SB, Pierson RN, Jr. Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Am J Clin Nutr. 2005 Jul;82(1):49–52. PubMed PMID: 16002799.CrossRefPubMed
5.
go back to reference Norman K, Stobaus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis—clinical relevance and applicability of impedance parameters. Clin Nutr. 2012 Dec;31(6):854–61. PubMed PMID: 22698802.CrossRefPubMed Norman K, Stobaus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis—clinical relevance and applicability of impedance parameters. Clin Nutr. 2012 Dec;31(6):854–61. PubMed PMID: 22698802.CrossRefPubMed
6.
go back to reference Maddocks M, Kon SS, Jones SE, Canavan JL, Nolan CM, Higginson IJ, et al. Bioelectrical impedance phase angle relates to function, disease severity and prognosis in stable chronic obstructive pulmonary disease. Clin Nutr. 2015 Dec;34(6):1245–50. PubMed PMID: 25597016.CrossRefPubMed Maddocks M, Kon SS, Jones SE, Canavan JL, Nolan CM, Higginson IJ, et al. Bioelectrical impedance phase angle relates to function, disease severity and prognosis in stable chronic obstructive pulmonary disease. Clin Nutr. 2015 Dec;34(6):1245–50. PubMed PMID: 25597016.CrossRefPubMed
7.
go back to reference Ruiz-Margain A, Macias-Rodriguez RU, Duarte-Rojo A, Rios-Torres SL, Espinosa-Cuevas A, Torre A. Malnutrition assessed through phase angle and its relation to prognosis in patients with compensated liver cirrhosis: a prospective cohort study. Dig Liver Dis. 2015 Apr;47(4):309–14. PubMed PMID: 25618555.CrossRefPubMed Ruiz-Margain A, Macias-Rodriguez RU, Duarte-Rojo A, Rios-Torres SL, Espinosa-Cuevas A, Torre A. Malnutrition assessed through phase angle and its relation to prognosis in patients with compensated liver cirrhosis: a prospective cohort study. Dig Liver Dis. 2015 Apr;47(4):309–14. PubMed PMID: 25618555.CrossRefPubMed
8.
go back to reference Beberashvili I, Azar A, Sinuani I, Shapiro G, Feldman L, Stav K, et al. Bioimpedance phase angle predicts muscle function, quality of life and clinical outcome in maintenance hemodialysis patients. Eur J Clin Nutr. 2014 Jun;68(6):683–9. PubMed PMID: 24736681.CrossRefPubMed Beberashvili I, Azar A, Sinuani I, Shapiro G, Feldman L, Stav K, et al. Bioimpedance phase angle predicts muscle function, quality of life and clinical outcome in maintenance hemodialysis patients. Eur J Clin Nutr. 2014 Jun;68(6):683–9. PubMed PMID: 24736681.CrossRefPubMed
9.
go back to reference Graf C, Karsegard VL, Spoerri A, Makhlouf A-M, Ho S, Herrmann FR, et al. Body composition and all-cause mortality in subjects older than 65 y. Am J CLin Nutr. 2015;101:760–7.CrossRefPubMed Graf C, Karsegard VL, Spoerri A, Makhlouf A-M, Ho S, Herrmann FR, et al. Body composition and all-cause mortality in subjects older than 65 y. Am J CLin Nutr. 2015;101:760–7.CrossRefPubMed
10.
go back to reference Thibault R, Makhlouf AM, Mulliez A, Rotovnic Kozjek N, Gonzalez C, Kekstas G, et al. Bioimpedance phase angle measured at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study PHASE ANGLE PROJECT. Intensive Care Med. 2016;In press. Thibault R, Makhlouf AM, Mulliez A, Rotovnic Kozjek N, Gonzalez C, Kekstas G, et al. Bioimpedance phase angle measured at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study PHASE ANGLE PROJECT. Intensive Care Med. 2016;In press.
11.
go back to reference Salvi F, Miller MD, Grilli A, Giorgi R, Towers AL, Morichi V, et al. A manual of guidelines to score the modified cumulative illness rating scale and its validation in acute hospitalized elderly patients. J Am Geriatr Soc. 2008 Oct;56(10):1926–31. PubMed PMID: 18811613. eng.CrossRefPubMed Salvi F, Miller MD, Grilli A, Giorgi R, Towers AL, Morichi V, et al. A manual of guidelines to score the modified cumulative illness rating scale and its validation in acute hospitalized elderly patients. J Am Geriatr Soc. 2008 Oct;56(10):1926–31. PubMed PMID: 18811613. eng.CrossRefPubMed
12.
go back to reference Zekry D, Loures Valle BH, Graf C, Michel JP, Gold G, Krause KH, et al. Prospective comparison of 6 comorbidity indices as predictors of 1-year post-hospital discharge institutionalization, readmission, and mortality in elderly individuals. J Am Med Dir Assoc. 2012 Mar;13(3):272–8. PubMed PMID: 21450226.CrossRefPubMed Zekry D, Loures Valle BH, Graf C, Michel JP, Gold G, Krause KH, et al. Prospective comparison of 6 comorbidity indices as predictors of 1-year post-hospital discharge institutionalization, readmission, and mortality in elderly individuals. J Am Med Dir Assoc. 2012 Mar;13(3):272–8. PubMed PMID: 21450226.CrossRefPubMed
13.
go back to reference Barrea L, Muscogiuri G, Macchia PE, Di Somma C, Falco A, Savanelli MC, et al. Mediterranean Diet and Phase Angle in a Sample of Adult Population: Results of a Pilot Study. Nutrients. 2017 Feb 17;9(2). PubMed PMID: 28218645. Pubmed Central PMCID: 5331582. Barrea L, Muscogiuri G, Macchia PE, Di Somma C, Falco A, Savanelli MC, et al. Mediterranean Diet and Phase Angle in a Sample of Adult Population: Results of a Pilot Study. Nutrients. 2017 Feb 17;9(2). PubMed PMID: 28218645. Pubmed Central PMCID: 5331582.
14.
go back to reference Kyle UG, Soundar EP, Genton L, Pichard C. Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects. Clin Nutr. 2012 Dec;31(6):875–81. PubMed PMID: 22560739.CrossRefPubMed Kyle UG, Soundar EP, Genton L, Pichard C. Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects. Clin Nutr. 2012 Dec;31(6):875–81. PubMed PMID: 22560739.CrossRefPubMed
15.
go back to reference Selberg O, Selberg D. Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol. 2002 Apr;86(6):509–16. PubMed PMID: 11944099.CrossRefPubMed Selberg O, Selberg D. Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol. 2002 Apr;86(6):509–16. PubMed PMID: 11944099.CrossRefPubMed
16.
go back to reference Maggiore Q, Nigrelli S, Ciccarelli C, Grimaldi C, Rossi GA, Michelassi C. Nutritional and prognostic correlates of bioimpedance indexes in hemodialysis patients. Kidney Int. 1996 Dec;50(6):2103–8. PubMed PMID: 8943496.CrossRefPubMed Maggiore Q, Nigrelli S, Ciccarelli C, Grimaldi C, Rossi GA, Michelassi C. Nutritional and prognostic correlates of bioimpedance indexes in hemodialysis patients. Kidney Int. 1996 Dec;50(6):2103–8. PubMed PMID: 8943496.CrossRefPubMed
17.
go back to reference Stobaus N, Pirlich M, Valentini L, Schulzke JD, Norman K. Determinants of bioelectrical phase angle in disease. Br J Nutr. 2012 Apr;107(8):1217–20. PubMed PMID: 22309898.CrossRefPubMed Stobaus N, Pirlich M, Valentini L, Schulzke JD, Norman K. Determinants of bioelectrical phase angle in disease. Br J Nutr. 2012 Apr;107(8):1217–20. PubMed PMID: 22309898.CrossRefPubMed
18.
go back to reference Barbosa-Silva MC, Barros AJ. Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care. 2005 May;8(3):311–7. PubMed PMID: 15809535.CrossRefPubMed Barbosa-Silva MC, Barros AJ. Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care. 2005 May;8(3):311–7. PubMed PMID: 15809535.CrossRefPubMed
19.
go back to reference Miller ME, Cosgriff JM, Forbes GB. Bromide space determination using anionexchange chromatography for measurement of bromide. Am J Clin Nutr. 1989 Jul;50(1):168–71. PubMed PMID: 2750689.CrossRefPubMed Miller ME, Cosgriff JM, Forbes GB. Bromide space determination using anionexchange chromatography for measurement of bromide. Am J Clin Nutr. 1989 Jul;50(1):168–71. PubMed PMID: 2750689.CrossRefPubMed
20.
go back to reference Silva AM, Heymsfield SB, Gallagher D, Albu J, Pi-Sunyer XF, Pierson RN, Jr., et al. Evaluation of between-methods agreement of extracellular water measurements in adults and children. Am J Clin Nutr. 2008 Aug;88(2):315–23. PubMed PMID: 18689366. Pubmed Central PMCID: 2752354.CrossRefPubMedPubMedCentral Silva AM, Heymsfield SB, Gallagher D, Albu J, Pi-Sunyer XF, Pierson RN, Jr., et al. Evaluation of between-methods agreement of extracellular water measurements in adults and children. Am J Clin Nutr. 2008 Aug;88(2):315–23. PubMed PMID: 18689366. Pubmed Central PMCID: 2752354.CrossRefPubMedPubMedCentral
21.
go back to reference Haussinger D, Roth E, Lang F, Gerok W. Cellular hydration state: an important determinant of protein catabolism in health and disease. Lancet. 1993 May 22;341(8856):1330–2. PubMed PMID: 8098459.CrossRefPubMed Haussinger D, Roth E, Lang F, Gerok W. Cellular hydration state: an important determinant of protein catabolism in health and disease. Lancet. 1993 May 22;341(8856):1330–2. PubMed PMID: 8098459.CrossRefPubMed
22.
go back to reference Barac-Nieto M, Spurr GB, Lotero H, Maksud MG. Body composition in chronic undernutrition. Am J Clin Nutr. 1978 Jan;31(1):23–40. PubMed PMID: 413427.CrossRefPubMed Barac-Nieto M, Spurr GB, Lotero H, Maksud MG. Body composition in chronic undernutrition. Am J Clin Nutr. 1978 Jan;31(1):23–40. PubMed PMID: 413427.CrossRefPubMed
23.
go back to reference Ritz P, Vol S, Berrut G, Tack I, Arnaud MJ, Tichet J. Influence of gender and body composition on hydration and body water spaces. Clin Nutr. 2008 Oct;27(5):740–6. PubMed PMID: 18774628.CrossRefPubMed Ritz P, Vol S, Berrut G, Tack I, Arnaud MJ, Tichet J. Influence of gender and body composition on hydration and body water spaces. Clin Nutr. 2008 Oct;27(5):740–6. PubMed PMID: 18774628.CrossRefPubMed
24.
go back to reference Siervo M, Faber P, Gibney ER, Lobley GE, Elia M, Stubbs RJ, et al. Use of the cellular model of body composition to describe changes in body water compartments after total fasting, very low calorie diet and low calorie diet in obese men. Int J Obes (Lond). 2010 May;34(5):908–18. PubMed PMID: 20142822.CrossRef Siervo M, Faber P, Gibney ER, Lobley GE, Elia M, Stubbs RJ, et al. Use of the cellular model of body composition to describe changes in body water compartments after total fasting, very low calorie diet and low calorie diet in obese men. Int J Obes (Lond). 2010 May;34(5):908–18. PubMed PMID: 20142822.CrossRef
25.
go back to reference Ritz P, Investigators of the Source S, of the Human Nutrition Research C-A. Chronic cellular dehydration in the aged patient. J Gerontol A Biol Sci Med Sci. 2001 Jun;56(6):M349–52. PubMed PMID: 11382793.CrossRefPubMed Ritz P, Investigators of the Source S, of the Human Nutrition Research C-A. Chronic cellular dehydration in the aged patient. J Gerontol A Biol Sci Med Sci. 2001 Jun;56(6):M349–52. PubMed PMID: 11382793.CrossRefPubMed
26.
go back to reference Baarends EM, Schols AM, van Marken Lichtenbelt WD, Wouters EF. Analysis of body water compartments in relation to tissue depletion in clinically stable patients with chronic obstructive pulmonary disease. Am J Clin Nutr. 1997 Jan;65(1):88–94. PubMed PMID: 8988918.CrossRefPubMed Baarends EM, Schols AM, van Marken Lichtenbelt WD, Wouters EF. Analysis of body water compartments in relation to tissue depletion in clinically stable patients with chronic obstructive pulmonary disease. Am J Clin Nutr. 1997 Jan;65(1):88–94. PubMed PMID: 8988918.CrossRefPubMed
27.
go back to reference Sergi G, Lupoli L, Volpato S, Bertani R, Coin A, Perissinotto E, et al. Body fluid distribution in elderly subjects with congestive heart failure. Ann Clin Lab Sci. 2004 Autumn;34(4):416–22. PubMed PMID: 15648783.PubMed Sergi G, Lupoli L, Volpato S, Bertani R, Coin A, Perissinotto E, et al. Body fluid distribution in elderly subjects with congestive heart failure. Ann Clin Lab Sci. 2004 Autumn;34(4):416–22. PubMed PMID: 15648783.PubMed
28.
go back to reference Woodrow G, Oldroyd B, Wright A, Coward WA, Turney JH, Brownjohn AM, et al. Abnormalities of body composition in peritoneal dialysis patients. Perit Dial Int. 2004 Mar-Apr;24(2):169–75. PubMed PMID: 15119638.PubMed Woodrow G, Oldroyd B, Wright A, Coward WA, Turney JH, Brownjohn AM, et al. Abnormalities of body composition in peritoneal dialysis patients. Perit Dial Int. 2004 Mar-Apr;24(2):169–75. PubMed PMID: 15119638.PubMed
29.
go back to reference Cox-Reijven PL, van Kreel B, Soeters PB. Bioelectrical impedance measurements in patients with gastrointestinal disease: validation of the spectrum approach and a comparison of different methods for screening for nutritional depletion. Am J Clin Nutr. 2003 Dec;78(6):1111–9. PubMed PMID: 14668272.CrossRefPubMed Cox-Reijven PL, van Kreel B, Soeters PB. Bioelectrical impedance measurements in patients with gastrointestinal disease: validation of the spectrum approach and a comparison of different methods for screening for nutritional depletion. Am J Clin Nutr. 2003 Dec;78(6):1111–9. PubMed PMID: 14668272.CrossRefPubMed
30.
go back to reference Levitt DG, Beckman LM, Mager JR, Valentine B, Sibley SD, Beckman TR, et al. Comparison of DXA and water measurements of body fat following gastric bypass surgery and a physiological model of body water, fat, and muscle composition. J Appl Physiol (1985). 2010 Sep;109(3):786–95. PubMed PMID: 20558754. Pubmed Central PMCID: 2944634.CrossRefPubMedCentral Levitt DG, Beckman LM, Mager JR, Valentine B, Sibley SD, Beckman TR, et al. Comparison of DXA and water measurements of body fat following gastric bypass surgery and a physiological model of body water, fat, and muscle composition. J Appl Physiol (1985). 2010 Sep;109(3):786–95. PubMed PMID: 20558754. Pubmed Central PMCID: 2944634.CrossRefPubMedCentral
31.
go back to reference Buchholz AC, McGillivray CF, Pencharz PB. Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition. Am J Clin Nutr. 2003 Feb;77(2):371–8. PubMed PMID: 12540396.CrossRefPubMed Buchholz AC, McGillivray CF, Pencharz PB. Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition. Am J Clin Nutr. 2003 Feb;77(2):371–8. PubMed PMID: 12540396.CrossRefPubMed
32.
go back to reference Kehayias JJ, Ribeiro SM, Skahan A, Itzkowitz L, Dallal G, Rogers G, et al. Water homeostasis, frailty and cognitive function in the nursing home. J Nutr Health Aging. 2012 Jan;16(1):35–9. PubMed PMID: 22238000.CrossRefPubMed Kehayias JJ, Ribeiro SM, Skahan A, Itzkowitz L, Dallal G, Rogers G, et al. Water homeostasis, frailty and cognitive function in the nursing home. J Nutr Health Aging. 2012 Jan;16(1):35–9. PubMed PMID: 22238000.CrossRefPubMed
33.
go back to reference Schols AM, Broekhuizen R, Weling-Scheepers CA, Wouters EF. Body composition and mortality in chronic obstructive pulmonary disease. Am J Clin Nutr. 2005 Jul;82(1):53–9. PubMed PMID: 16002800.CrossRefPubMed Schols AM, Broekhuizen R, Weling-Scheepers CA, Wouters EF. Body composition and mortality in chronic obstructive pulmonary disease. Am J Clin Nutr. 2005 Jul;82(1):53–9. PubMed PMID: 16002800.CrossRefPubMed
34.
go back to reference Wilhelm-Leen ER, Hall YN, Horwitz RI, Chertow GM. Phase angle, frailty and mortality in older adults. J Gen Intern Med. 2014 Jan;29(1):147–54. PubMed PMID: 24002625. Pubmed Central PMCID: 3889965.CrossRefPubMed Wilhelm-Leen ER, Hall YN, Horwitz RI, Chertow GM. Phase angle, frailty and mortality in older adults. J Gen Intern Med. 2014 Jan;29(1):147–54. PubMed PMID: 24002625. Pubmed Central PMCID: 3889965.CrossRefPubMed
Metadata
Title
Relation of Disease with Standardized Phase Angle Among Older Patients
Authors
C. E. Graf
F. R. Herrmann
Laurence Genton
Publication date
01-05-2018
Publisher
Springer Paris
Published in
The journal of nutrition, health & aging / Issue 5/2018
Print ISSN: 1279-7707
Electronic ISSN: 1760-4788
DOI
https://doi.org/10.1007/s12603-018-1034-4

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