Skip to main content
Top
Published in: Journal of Nephrology 2/2014

01-04-2014 | Original Article

Geriatric nutritional risk index is a strong predictor of mortality in hemodialysis patients: data from the Riscavid cohort

Authors: Vincenzo Panichi, Adamasco Cupisti, Alberto Rosati, Adriana Di Giorgio, Alessia Scatena, Ophelia Menconi, Laura Bozzoli, Anna Bottai

Published in: Journal of Nephrology | Issue 2/2014

Login to get access

Abstract

Introduction

Malnutrition is a common complication in hemodialysis (HD) patients and it is related to morbidity and mortality. Although a gold standard method for diagnosis of malnutrition is not available, serum albumin, body weight and height are commonly used and are included in the calculation of the Geriatric nutritional risk index (GNRI). Recently the association between GNRI and mortality in chronic HD patients has been documented in Asian populations. Our aim was to examine the relative reliability of the GNRI as a mortality and morbidity predictor in an Italian HD cohort.

Methods

We prospectively examined the GNRI of 753 maintenance HD patients aged 65.7 ± 14.1 years, 457 males, included in the Riscavid cohort, and followed them up for 84 months. Predictors for all-cause death were examined using Kaplan–Meier and Cox proportional-hazards analyses.

Results

Low GNRI was significantly associated with signs of wasting, i.e. low Body mass index, hypoalbuminemia, low normalized protein catabolic rate. Patients within the lowest GNRI quartile had a significantly lower survival rate than those in the 2nd to 4th quartile (p < 0.001). Multivariate Cox proportional-hazards analysis demonstrated that the lowest quartile of GNRI was a significant predictor of case mix adjusted all-cause mortality (HR 1.72; CI 1.35–2.18, p < 0.001).

Conclusions

These results demonstrate that low GNRI (<92) is associated with malnutrition and is a strong predictor of overall mortality in HD patients. However, cardiovascular events did not differ among the GNRI quartiles. A low GNRI score can be considered a simple and reliable marker of malnutrition and predictor for mortality risk in Caucasian HD patients.
Literature
1.
go back to reference Foque D, Kalantar-Zadeh K, Kopple JD et al (2008) A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int 73:391–398CrossRef Foque D, Kalantar-Zadeh K, Kopple JD et al (2008) A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int 73:391–398CrossRef
2.
go back to reference Bonanni A, Mannucci I, Verzola D et al (2011) Protein-energy wasting and mortality in chronic kidney disease. Int J Environ Res Public Health 8:1631–1654PubMedCentralPubMedCrossRef Bonanni A, Mannucci I, Verzola D et al (2011) Protein-energy wasting and mortality in chronic kidney disease. Int J Environ Res Public Health 8:1631–1654PubMedCentralPubMedCrossRef
3.
go back to reference Kovesdy CP, Kalantar-Zadeh K (2009) Why is protein–energy wasting associated with mortality in chronic kidney disease? Semin Nephrol 29:3–14PubMedCrossRef Kovesdy CP, Kalantar-Zadeh K (2009) Why is protein–energy wasting associated with mortality in chronic kidney disease? Semin Nephrol 29:3–14PubMedCrossRef
4.
go back to reference Pupin LB, Ikizler TA (2004) Assessment and monitoring of uremic malnutrition. J Ren Nutr 14:6–19CrossRef Pupin LB, Ikizler TA (2004) Assessment and monitoring of uremic malnutrition. J Ren Nutr 14:6–19CrossRef
5.
go back to reference Yamada K, Furuya R, Takita T, Maruyama Y, Yamaguchi Y, Ohkawa S, Kumagai H (2008) Simplified nutritional screening tools for patients on maintenance hemodialysis. Am J Clin Nutr 87:106–113PubMed Yamada K, Furuya R, Takita T, Maruyama Y, Yamaguchi Y, Ohkawa S, Kumagai H (2008) Simplified nutritional screening tools for patients on maintenance hemodialysis. Am J Clin Nutr 87:106–113PubMed
6.
go back to reference Kobayashi I, Ishimura E, Kato Y et al (2010) Geriatric nutritional risk index, a simplified nutritional screening index, is a significant predictor of mortality in chronic dialysis patients. Nephrol Dial Transpl 25:3361–3365CrossRef Kobayashi I, Ishimura E, Kato Y et al (2010) Geriatric nutritional risk index, a simplified nutritional screening index, is a significant predictor of mortality in chronic dialysis patients. Nephrol Dial Transpl 25:3361–3365CrossRef
7.
go back to reference Park JH, Kim SB, Shin HS, Rim HB (2012) Geriatric nutritional risk index may be a significant predictor of mortality in Korean hemodialysis patients: a single center study. Ter Apher Dial 16(2):121–126CrossRef Park JH, Kim SB, Shin HS, Rim HB (2012) Geriatric nutritional risk index may be a significant predictor of mortality in Korean hemodialysis patients: a single center study. Ter Apher Dial 16(2):121–126CrossRef
8.
go back to reference Panichi V, Rizza GM, Paoletti S et al (2008) Chronic inflammation and mortality in hemodialysis: effect of different renal replacement therapies. Results from the RISCAVID study. Nephrol Dial Transpl 23(7):2337–2343CrossRef Panichi V, Rizza GM, Paoletti S et al (2008) Chronic inflammation and mortality in hemodialysis: effect of different renal replacement therapies. Results from the RISCAVID study. Nephrol Dial Transpl 23(7):2337–2343CrossRef
9.
go back to reference Panichi V, Maggiore U, Taccola D et al (2004) Interleukin-6 is a stronger predictor of total and cardiovascular mortality than CRP in hemodialysis patients. Nephrol Dial Transpl 19:1154–1160CrossRef Panichi V, Maggiore U, Taccola D et al (2004) Interleukin-6 is a stronger predictor of total and cardiovascular mortality than CRP in hemodialysis patients. Nephrol Dial Transpl 19:1154–1160CrossRef
10.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef
11.
go back to reference Stenvinkel P, Heinburger O, Lindholm B (2004) Wasting, but not malnutrition predicts cardiovascular mortality in hemodialysis patients. Nephrol Dial Transpl 19(9):2181–2183CrossRef Stenvinkel P, Heinburger O, Lindholm B (2004) Wasting, but not malnutrition predicts cardiovascular mortality in hemodialysis patients. Nephrol Dial Transpl 19(9):2181–2183CrossRef
12.
go back to reference Kalantar-Zadeh K, Block G, Humphreys MH, Kopple JD (2003) Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patients. Kidney Int 63:793–808PubMedCrossRef Kalantar-Zadeh K, Block G, Humphreys MH, Kopple JD (2003) Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patients. Kidney Int 63:793–808PubMedCrossRef
13.
go back to reference Stenvinkel P, Heinburger O, Paultre F et al (1999) Strong association between malnutrition, inflammation and atherosclerosis in chronic renal failure. Kidney Int 55:1899–1911PubMedCrossRef Stenvinkel P, Heinburger O, Paultre F et al (1999) Strong association between malnutrition, inflammation and atherosclerosis in chronic renal failure. Kidney Int 55:1899–1911PubMedCrossRef
14.
go back to reference Kalantar-Zadeh K, Kopple JD, Humphreys MH, Block G (2004) Comparing outcome predictability of markers of malnutrition–inflammation complex syndrome in hemodialysis patients. Nephrol Dial Transpl 19:1507–1519CrossRef Kalantar-Zadeh K, Kopple JD, Humphreys MH, Block G (2004) Comparing outcome predictability of markers of malnutrition–inflammation complex syndrome in hemodialysis patients. Nephrol Dial Transpl 19:1507–1519CrossRef
15.
go back to reference de Musert R, Grootendorst DC, Boescheten EW et al (2009) Subjective global assessment of nutritional status is strongly associated with mortality in chronic dialysis patients. Am J Clin Nutr 89:787–793CrossRef de Musert R, Grootendorst DC, Boescheten EW et al (2009) Subjective global assessment of nutritional status is strongly associated with mortality in chronic dialysis patients. Am J Clin Nutr 89:787–793CrossRef
16.
go back to reference Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH (2001) A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis 38:1251–1263PubMedCrossRef Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH (2001) A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis 38:1251–1263PubMedCrossRef
17.
go back to reference Baumeister SE, Fisher B, Doring A et al (2011) The geriatric nutritional risk index predicts increased healthcare costs and hospitalization in a cohort of community-dwelling older adults: results from the MONICA/KORA Augsburg cohort study, 1994–2005. Nutrition 27(5):534–542PubMedCrossRef Baumeister SE, Fisher B, Doring A et al (2011) The geriatric nutritional risk index predicts increased healthcare costs and hospitalization in a cohort of community-dwelling older adults: results from the MONICA/KORA Augsburg cohort study, 1994–2005. Nutrition 27(5):534–542PubMedCrossRef
18.
go back to reference Chinen J, Shearer WT (2008) Secondary immunodeficiencies, including HIV infection. J Allergy Clin Immunol 121:S388–S392PubMedCrossRef Chinen J, Shearer WT (2008) Secondary immunodeficiencies, including HIV infection. J Allergy Clin Immunol 121:S388–S392PubMedCrossRef
19.
go back to reference Koyama H, Fukuda S, Shoji T et al (2010) Fatigue is a predictor for cardiovascular outcomes in patients undergoing hemodialysis. Clin J Am Soc Nephrol 5(4):659–666PubMedCentralPubMedCrossRef Koyama H, Fukuda S, Shoji T et al (2010) Fatigue is a predictor for cardiovascular outcomes in patients undergoing hemodialysis. Clin J Am Soc Nephrol 5(4):659–666PubMedCentralPubMedCrossRef
20.
go back to reference Fiedler R, Dorligjav O, Seibert E, Ulrich C, Markau S, Girndt M (2011) Vitamin D deficiency, mortality, and hospitalization in hemodialysis patients with or without protein-energy wasting. Nephron Clin Pract 119(3):c220–c226PubMedCrossRef Fiedler R, Dorligjav O, Seibert E, Ulrich C, Markau S, Girndt M (2011) Vitamin D deficiency, mortality, and hospitalization in hemodialysis patients with or without protein-energy wasting. Nephron Clin Pract 119(3):c220–c226PubMedCrossRef
21.
go back to reference Raphel KL, Wei G, Greene T, Baird BC, Beddhu S (2012) Cognitive function and the risk of death in chronic kidney disease. Am J Nephrol 35(1):49–57CrossRef Raphel KL, Wei G, Greene T, Baird BC, Beddhu S (2012) Cognitive function and the risk of death in chronic kidney disease. Am J Nephrol 35(1):49–57CrossRef
22.
go back to reference Bossola M, Tazza L, Giungi S, Luciani G (2006) Anorexia in hemodialysis patients: an update. Kidney Int 70(3):417–422PubMed Bossola M, Tazza L, Giungi S, Luciani G (2006) Anorexia in hemodialysis patients: an update. Kidney Int 70(3):417–422PubMed
Metadata
Title
Geriatric nutritional risk index is a strong predictor of mortality in hemodialysis patients: data from the Riscavid cohort
Authors
Vincenzo Panichi
Adamasco Cupisti
Alberto Rosati
Adriana Di Giorgio
Alessia Scatena
Ophelia Menconi
Laura Bozzoli
Anna Bottai
Publication date
01-04-2014
Publisher
Springer International Publishing
Published in
Journal of Nephrology / Issue 2/2014
Print ISSN: 1121-8428
Electronic ISSN: 1724-6059
DOI
https://doi.org/10.1007/s40620-013-0033-0

Other articles of this Issue 2/2014

Journal of Nephrology 2/2014 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine