Literature DB >> 15023193

Comparison of nutritional risk screening tools in patients on admission to hospital.

C A Corish1, P Flood, N P Kennedy.   

Abstract

BACKGROUND AND AIMS: Under nutrition has been frequently reported in patients on admission to hospital. Because this is not always detected promptly, screening for nutritional risk on admission has been widely advocated. Although there is no universally accepted 'gold standard' for defining undernutrition, the definition used by McWhirter, J.P. & Pennington, C.R. [(1994) Br. Med. J.308, 945] has been widely used by clinical nutrition specialists. This study aimed to compare the efficacy of two frequently used nutritional risk screening tools in detecting undernutrition according to this definition.
METHODS: Both the Nutrition Risk Index [Veterans Affairs Total Parenteral Nutrition Co-operative Study Group (1991) N. Engl. J. Med.325, 525] and the Nutrition Risk Score [Reilly H.M. et al. (1995) Clin. Nutr.14, 269] were used to screen for undernutrition in 359 admissions to two acute teaching hospitals in Dublin. Undernutrition was defined as a Body Mass Index below 20 kg m(-2) and a triceps skinfold thickness or mid-arm muscle circumference below the 15th percentile. Comparison of stratification of nutritional risk by the two screening tools was carried out.
RESULTS: Both screening tools identified over 40% (Nutrition Risk Index, 44%; Nutrition Risk Score, 46%) of all patients assessed as at nutritional risk on admission. However, one-third of the undernourished patients were classified as at no nutrition risk by the Nutrition Risk Index, while almost one-fifth of those undernourished were classified as at low risk by the Nutrition Risk Score. The degree of nutritional risk differed with the screening tool used, the Nutrition Risk Score classifying 29% of all patients as high risk while the Nutrition Risk Index classified only 5% as in the high risk category.
CONCLUSIONS: Although a large proportion of patients on admission were classified as being at nutritional risk, the degree of risk was significantly different depending on the screening tool used. Both nutritional risk screening tools evaluated in this study failed to recognize many cases of undernutrition. Evaluation of the efficacy of nutritional screening tools should be promoted as seriously as the development of such tools.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15023193     DOI: 10.1046/j.1365-277X.2003.00494.x

Source DB:  PubMed          Journal:  J Hum Nutr Diet        ISSN: 0952-3871            Impact factor:   3.089


  10 in total

1.  Prevalence and Association of Undernutrition with Quality of Life among Swedish People Aged 60 Years and Above: Results of the SNAC-B Study.

Authors:  M Naseer; C Fagerström
Journal:  J Nutr Health Aging       Date:  2015-12       Impact factor: 4.075

2.  Improvement of nutritional support strategies after surgery for benign liver tumor through nutritional risk screening: a prospective, randomized, controlled, single-blind clinical study.

Authors:  Xin Lu; Ying Li; Huayu Yang; Xinting Sang; Haitao Zhao; Haifeng Xu; Shunda Du; Yiyao Xu; Tianyi Chi; Shouxian Zhong; Kang Yu; Yilei Mao
Journal:  Hepatobiliary Surg Nutr       Date:  2013-02       Impact factor: 7.293

3.  Who will become malnourished? A prospective study of factors associated with malnutrition in older persons living at home.

Authors:  L Johansson; B Sidenvall; B Malmberg; L Christensson
Journal:  J Nutr Health Aging       Date:  2009-12       Impact factor: 4.075

4.  Malnutrition, functional ability and mortality among older people aged ⩾ 60 years: a 7-year longitudinal study.

Authors:  M Naseer; H Forssell; C Fagerström
Journal:  Eur J Clin Nutr       Date:  2015-11-25       Impact factor: 4.016

5.  Malnutrition as assessed by nutritional risk index is associated with worse outcome in patients admitted with acute decompensated heart failure: an ACAP-HF data analysis.

Authors:  Emad F Aziz; Fahad Javed; Balaji Pratap; Dan Musat; Amjad Nader; Sandeep Pulimi; Carlos L Alivar; Eyal Herzog; Marrick L Kukin
Journal:  Heart Int       Date:  2011-06-15

6.  Comparison of nursing records and the catholic medical center nutritional risk screening as a nutrition screening tool for intensive care unit patients.

Authors:  Gyu Jin Heo; Hye Jin Kim; Jeong Im Hong
Journal:  Clin Nutr Res       Date:  2015-01-23

7.  Nutritional status and screening tools to detect nutritional risk in hospitalized patients with hepatic echinococcosis.

Authors:  Zhan Wang; Jin Xu; Ge Song; MingQuan Pang; Bin Guo; XiaoLei Xu; HaiJiu Wang; Ying Zhou; Li Ren; Hu Zhou; Jie Ma; HaiNing Fan
Journal:  Parasite       Date:  2020-12-23       Impact factor: 3.000

Review 8.  Malnutrition Screening and Assessment.

Authors:  Carlos Serón-Arbeloa; Lorenzo Labarta-Monzón; José Puzo-Foncillas; Tomas Mallor-Bonet; Alberto Lafita-López; Néstor Bueno-Vidales; Miguel Montoro-Huguet
Journal:  Nutrients       Date:  2022-06-09       Impact factor: 6.706

9.  Nutrition and aging: assessment and treatment of compromised nutritional status in frail elderly patients.

Authors:  Jennie L Wells; Andrea C Dumbrell
Journal:  Clin Interv Aging       Date:  2006       Impact factor: 4.458

10.  Do the malnutrition universal screening tool (MUST) and Birmingham nutrition risk (BNR) score predict mortality in older hospitalised patients?

Authors:  Sarah Henderson; Nicola Moore; Emma Lee; Miles D Witham
Journal:  BMC Geriatr       Date:  2008-10-10       Impact factor: 3.921

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.