Literature DB >> 16844616

Biological markers of protein-energy malnutrition.

M Elia1, P G Lunn.   

Abstract

The biological markers of undernutrition fall into three categories: (a) those that measure structure; (b) those that measure function; and (c) indices of the above two. Ideally a marker of nutritional status should have the following characteristics: specific to nutritional status; sensitive to changes in nutritional status; reproducible; simple to measure; inexpensive and widely available. Unfortunately there are no such markers, and therefore individuals involved in the assessment of nutritional status should be aware of the advantages and disadvantages of the markers they use. For example, body composition can be assessed using sophisticated techniques that make fewer assumptions than simple bedside techniques (1). However, these sophisticated techniques (eg neutron activation, and combinations of techniques such as hydro-densitometry, water dilution techniques and dual-energy X-ray absorptiometry) are not widely available and some of them are labour intensive. On the other hand simple bedside techniques, such as those based on skinfold thicknesses can be applied widely because they are easy and quick to perform, but they are probably not as accurate as the classic body composition techniques (hydro-densitometry or water dilution techniques) or other sophisticated methods based on the assessment of multiple body compartments (1). Therefore the choice of method depends not only on the availability of investigative tools, but also on the practicalities of using them in individuals, a small group of individuals, or large groups of individuals, (eg national surveys during famine and non-famine conditions). In this brief review only some aspects concerned with simple bedside or laboratory methods will be discussed.

Entities:  

Year:  1997        PMID: 16844616     DOI: 10.1016/s0261-5614(97)80044-1

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  6 in total

1.  Weight change, nutritional risk and its determinants among cognitively intact and demented elderly Canadians.

Authors:  B Shatenstein; M J Kergoat; S Nadon
Journal:  Can J Public Health       Date:  2001 Mar-Apr

2.  Protein-Energy Malnutrition Causes Deficits in Motor Function in Adult Male Rats.

Authors:  Mariam Alaverdashvili; Xue Li; Phyllis G Paterson
Journal:  J Nutr       Date:  2015-09-30       Impact factor: 4.798

3.  Pretreatment weight status and weight loss among head and neck cancer patients receiving definitive concurrent chemoradiation therapy: implications for nutrition integrated treatment pathways.

Authors:  Mary E Platek; Elizabeth Myrick; Susan A McCloskey; Vishal Gupta; Mary E Reid; Gregory E Wilding; David Cohan; Hassan Arshad; Nestor R Rigual; Wesley L Hicks; Maureen Sullivan; Graham W Warren; Anurag K Singh
Journal:  Support Care Cancer       Date:  2013-06-07       Impact factor: 3.603

4.  Does Obesity Protect Against Death in Sepsis? A Retrospective Cohort Study of 55,038 Adult Patients.

Authors:  Dominique J Pepper; Cumhur Y Demirkale; Junfeng Sun; Chanu Rhee; David Fram; Peter Eichacker; Michael Klompas; Anthony F Suffredini; Sameer S Kadri
Journal:  Crit Care Med       Date:  2019-05       Impact factor: 7.598

5.  Pretreatment nutritional status and locoregional failure of patients with head and neck cancer undergoing definitive concurrent chemoradiation therapy.

Authors:  Mary E Platek; Mary E Reid; Gregory E Wilding; Wainwright Jaggernauth; Nestor R Rigual; Wesley L Hicks; Saurin R Popat; Graham W Warren; Maureen Sullivan; Wade L Thorstad; Mohamed K Khan; Thom R Loree; Anurag K Singh
Journal:  Head Neck       Date:  2010-12-15       Impact factor: 3.147

6.  Comparison of the prevalence of malnutrition diagnosis in head and neck, gastrointestinal, and lung cancer patients by 3 classification methods.

Authors:  Mary E Platek; Johann V Popp; Candi S Possinger; Carol A Denysschen; Peter Horvath; Jean K Brown
Journal:  Cancer Nurs       Date:  2011 Sep-Oct       Impact factor: 2.592

  6 in total

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