Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Subjective global assessment of nutrition in dialysis patients.

Authors: G, Enia; C, Sicuso; G, Alati; C, Zoccali;

Subjective global assessment of nutrition in dialysis patients.

Abstract

Malnutrition is a major negative prognostic factor in dialysis patients. Simple and reliable estimations of nutritional status may therefore prove of particular value in the follow-up of these patients. To validate subjective global assessment (SGA) in dialysis patients we compared subjective global assessment with objective measurements (anthropometry, bioelectrical impedance, biochemical measurements) in 59 chronic uraemic patients treated by haemodialysis (n = 36) or CAPD (n = 23). Subjective global assessment was performed by an observer unaware of the results of objective measurements and was related to serum albumin (r = -0.51, P < 0.001) and bioelectric impedance phase angle (r = -0.58, P < 0.001) as well as with MAMC (r = -0.28 P = 0.028), %fat (r = -0.27, P = 0.042) and nPCR (r = -0.29 P = 0.027). Multiple regression analysis showed that the relationship of subjective global assessment (as a dependent variable) with objective measurements (covariates) was stronger (multiple r = 0.77) than the relationship found with univariate analysis. This finding indicates that subjective global assessment gives a well-based and balanced estimation of nutritional status. Our data show that subjective global assessment is a clinically adequate method for assessing nutritional status in dialysis patients. Being an inexpensive method of well-proven reliability, subjective global assessment can be recommended for a more frequent assessment of nutritional status in dialysis patients.

Keywords

Male, Anthropometry, Middle Aged, Medical Records, Nutrition Assessment, Peritoneal Dialysis, Continuous Ambulatory, Renal Dialysis, Multivariate Analysis, Electric Impedance, Humans, Regression Analysis, Female, Physical Examination, Serum Albumin, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    294
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
294
Top 10%
Top 1%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!