Cited by 24Nutrition and Health in AgingClinical Nutrition and GastroenterologyBody Composition Measurement Techniques

Which are the most efficient items of mini nutritional assessment in multimorbid patients?

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Hengstermann, S., Nieczaj, R., Steinhagen-Thiessen, E., Schulz, R.-J.·2008·The Journal of nutrition, health and aging

Abstract

OBJECTIVE: The aim of the study was to identify the most significant MNA-items to accelerate the determination of nutritional risk of elderly patients in routine clinical practice in a geriatric hospital. Since MNA requires 10-15 min it is hardly applicable to clinical routine. DESIGN: The study was a cross-sectional study. SETTING: The study centre was an acute geriatric hospital. PARTICIPANTS: In total 808 multimorbid elderly patients were recruited. METHODS: We applied the MNA in 808 (528 f/280 m) geriatric multimorbid patients (78.5+/-8.7f / 74.6+/-9 m yrs) without cognitive impairment 48 h after hospital admission. Admission diagnoses covered orthopaedical (40%), internal (34%) and cerebrovascular (24%) diseases. According to analysis of reliability the consistency of the MNA scale for multimorbid patients has been verified. In preparation for scale reduction a factor analysis was applied. A reduced scale with selected cutoffs was configured and compared with MNA. RESULTS: According to MNA, 15% of patients were well-nourished, 65% at risk of malnutrition and 20% were malnourished. The reliability analyses showed a Cronbach's Alpha of 0.60 that represented a satisfactory result. By means of factor analysis the MNA-items were reduced from 18 to 7 items (weight loss, mobility, BMI, number of full meals, fluid consumption, mode of feeding, health status). with new cutoffs (12.5-15 well-nourished, 9-12 at risk of malnutrition, <9 malnourished). According to the modified MNA (m-MNA) 21.7% of the patients were well-nourished, 54.5% at risk of malnutrition and 21.7% were malnourished. The score of the MNA and m-MNA correlated with r=0.910. Furthermore, there was a strong correlation between MNA and m- MNA group classification of 83%. CONCLUSION: The m-MNA enables a rapid (3 min) and efficient screening of malnutrition in multimorbid geriatric patients. The m-MNA is easy to apply and may also be suitable in multimorbid patients with cognitive dysfunction. Due to the variety of items the m-MNA seems to be superior to other screening tools.

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  • NRS 2002 and MNA-SF are rapid, easily undertaken and show a high degree of content validity and reliability, making them suitable in polymorbid medical inpatients including those with cognitive dysfunction.

    “Both of these tools are rapid, easily undertaken and show a high degree of content validity and reliability, thereby making them suitable in polymorbid medical inpatients including those patients with cognitive dysfunction [26,27].”

    From ESPEN guideline on nutritional support for polymorbid medical inpatients (2023) · cites this paper as [26]

    The Discussion (page not provided) says MNA-SF takes under five minutes and preserves diagnostic accuracy. It does not establish high content validity or reliability for MNA-SF, and its conclusion about suitability for patients with cognitive dysfunction concerns the different m-MNA. The paper does not address NRS 2002. (LLM, conf=0.88)

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  1. [1]McWhirter JP Pennington CR Incidence and recognition of malnutrition in hospital BMJ 308 6934 1994 945 948 PubMed PMID: 8173401 8173401 PMC2539799
  2. [2]Clarke DM Wahlqvist ML Strauss BJ Undereating and undernutrition in old age: integrating bio-psychosocial aspects Age Ageing 27 4 1998 527 534 PubMed PMID: 9884014 9884014
  3. [3]Sullivan DH The role of nutrition in increased morbidity and mortality Clin Geriatr Med 11 4 1995 661 674 PubMed PMID: 8556694 8556694
  4. [4]Marshall JA Lopez TK Shetterly SM Indicators of nutritional risk in a rural elderly Hispanic and non-Hispanic white population: San Luis Valley Health and Aging Study J Am Diet Assoc 99 3 1999 315 322 10.1016/S0002-8223(99)00081-4 PubMed PMID: 10076583 10076583 · DOI
  5. [5]Salva A Corman B Andrieu S Minimum data set for nutritional intervention studies in elderly people J Gerontol A Biol Sci Med Sci 59 7 2004 724 729 PubMed PMID: 15304539 15304539
  6. [6]Arellano M, Garcia-Caselles MP, Pi-Figueras M et al. Clinical impact of different scores of the Mini Nutritional Assessment (MNA) in the diagnosis of malnutrition in patients with cognitive impairment. Arch Gerontol Geriatr Suppl 2004;(9):27–31. 15207392
  7. [7]Gazzotti C Arnaud-Battandier F Parello M Prevention of malnutrition in older people during and after hospitalisation: results from a randomised controlled clinical trial Age Ageing 32 3 2003 321 325 10.1093/ageing/32.3.321 PubMed PMID: 12720620 12720620 · DOI · Paper page
  8. [8]Jeejeebhoy KN Nutritional assessment Nutrition 6 7-8 2000 585 590 10.1016/S0899-9007(00)00243-4 10906564 · DOI
  9. [9]Carney DE Meguid MM Current concepts in nutritional assessment Arch Surg 137 l 2002 42 45 PubMed PMID: 11772213 11772213
  10. [10]Corish CA Kennedy NP Protein-energy undernutrition in hospital in-patients Br J Nutr 83 6 2000 575 591 10.1017/S000711450000074X PubMed PMID: 10911765 10911765 · DOI
  11. [11]Kondrup J Allison SP Elia M Vellas B Plauth M Educational and Clinical Practice Committee, European Society of Parenteral and Enterai Nutrition (ESPEN). ESPEN guidelines for nutrition screening 2002 Clin Nutr 22 4 2003 415 421 10.1016/S0261-5614(03)00098-0 PubMed PMID: 12880610 12880610 · DOI · Paper page
  12. [12]Guigoz Y Vellas B Assessing the nutritional status of the elderly: The Mini Nutritional Assessment as part of the geriatric evaluation Nutr Rev 54 II 1996 S59 S65 PubMed PMID: 8919685 8919685
  13. [13]Chumela WC Guo S Equations for predicting stature in white and black elderly individuals J Gerontol 47 1992 M197 M203 1430854
  14. [14]Mahoney FI Barthel DW Functional evaluation: The Barthel Index Md State Med J 14 1965 61 65 PubMed PMID: 14258950 14258950
  15. [15]Thomas DR Zdrowski CD Wilson M Malnutrition in subacute care Am J Clin Nutr 75 2 2002 308 313 PubMed PMID: 11815323 11815323
  16. [16]Persson MD Brismar KE Katzarski KS Nordenstrom J Cederholm TE Nutritional status using mini nutritional assessment and subjective global assessment predict mortality in geriatric patients J Am Geriatr Soc 50 12 2002 1996 2002 10.1046/j.1532-5415.2002.50611.x PubMed PMID: 12473011 12473011 · DOI
  17. [17]Thorsdottir I Jonsson PV Asgeirsdottir AE Fast and simple screening for nutritional status in hospitalized, elderly people J Hum Nutr Diet 18 1 2005 53 60 10.1111/j.1365-277X.2004.00580.x PubMed PMID: 15647099 15647099 · DOI
  18. [18]Van Nes MC Herrmann FR Gold G Michel JP Rizzoli R Does the mini nutritional assessment predict hospitalization outcomes in older people? Age Ageing 30 3 2001 221 226 10.1093/ageing/30.3.221 PubMed PMID: 11443023 11443023 · DOI
  19. [21]Morley JE Kraenzle D Causes of weight loss in a community nursing home J Am Geriatr Soc 42 6 1994 583 585 PubMed PMID: 8201141 8201141
  20. [22]Corish CA Kennedy NP Anthropometric measurements from a cross-sectional survey of Irish free-living elderly subjects with smoothed centile curves Br J Nutr 89 1 2003 137 145 10.1079/BJN2002748 PubMed PMID: 12568673 12568673 · DOI
  21. [23]Cook Z Kirk S Lawrenson S Sandford S Use of BMI in the assessment of undernutrition in older subjects: reflecting on practice Proc Nutr Soc 64 3 2005 313 317 10.1079/PNS2005437 PubMed PMID: 16048662 16048662 · DOI
  22. [24]Klein S Kinney J Jeejeebhoy K Alpers D Nutrition support in clinical practice: review of published data and recommendations for future research directions. Summary of a conference sponsored by the National Institutes of Health, American Society for Parenteral and Enteral Nutrition, and American Society for Clinical Nutrition Am J Clin Nutr 66 3 1997 683 706 PubMed PMID: 9280194 9280194
  23. [25]Andreyev HJ Norman AR Oates J Cunningham D Why do patients with weight loss have a worse outcome when undergoing chemotherapy for gastrointestinal malignancies? Eur J Cancer 34 4 1998 503 509 10.1016/S0959-8049(97)10090-9 PubMed PMID: 9713300 9713300 · DOI
  24. [26]Schols AM Slangen J Volovics L Wouters EF Weight loss is a reversible factor in the prognosis of chronic obstructive pulmonary disease Am J Respir Crit Care Med 157 6 1998 1791 1797 PubMed PMID: 9620907 9620907
  25. [27]Dormenval V Budtz-Jorgensen E Mojon P Bruyere A Rapin CH Associations between malnutrition, poor general health and oral dryness in hospitalized elderly patients Age Ageing 27 2 1998 123 128 10.1093/ageing/27.2.123 PubMed PMID: 16296671 16296671 · DOI
  26. [28]Kagansky N Berner Y Koren-Morag N Poor nutritional habits are predictors of poor outcome in very old hospitalized patients Am J Clin Nutr 82 4 2005 784 791 PubMed PMID: 16210707 16210707
  27. [30]Odlund Olin A Koochek A Ljungqvist O Cederholm T Nutritional status, well-being and functional ability in frail elderly service flat residents Eur J Clin Nutr 59 2 2005 263 270 10.1038/sj.ejcn.1602067 15483631 · DOI
  28. [31]Niskanen L Piirainen M Koljonen M Uusitupa M Resting energy expenditure in relation to energy intake in patients with Alzheimer’s disease, multi-infarct dementia and in control women Age Ageing 22 2 1993 132 137 10.1093/ageing/22.2.132 PubMed PMID: 8470560 8470560 · DOI
  29. [33]Christensson L Unosson M Ek AC Evaluation of nutritional assessment techniques in elderly people newly admitted to municipal care Eur J Clin Nutr 56 9 2002 810 818 10.1038/sj.ejcn.1601394 PubMed PMID: 12209369 12209369 · DOI
  30. [34]Sciler WO Clinical pictures of malnutrition in ill elderly subjects Nutrition 17 6 2001 496 498 10.1016/S0899-9007(01)00558-5 11517898 · DOI
  31. [35]Ruiz-Lopez MD Artacho R Oliva P Nutritional risk in institutionalized older women determined by the Mini Nutritional Assessment test: what are the main factors? Nutrition 19 9 2003 767 771 10.1016/S0899-9007(03)00125-4 PubMed PMID: 12921887 12921887 · DOI

Cited by

Sorted by citations

Authors
Hengstermann, S., Nieczaj, R., Steinhagen-Thiessen, E., & Schulz, R.-J.
Affiliations
Charité – Universitätsmedizin Berlin (DE)
Corresponding author
Schulz, R.-J.
Venue
The Journal of nutrition, health and aging
Publisher
Elsevier BV
Published
2008-02
Volume
12
Issue
2
Pages
117-122
ISSN
1279-7707 (ISSN-L)
OpenAlex
W2050911144
Cited by
24
References
2
Citations by year
2024: 1 · 2023: 2 · 2020: 3 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 3 · 2013: 1 · 2012: 4
FWCI
1.13
Type
journal article
Language
en
Open access
Locations
  • The journal of nutrition health & aging (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
Mini Nutritional Assessment, malnutrition screening, multimorbidity, elderly patients, geriatric hospital, scale reduction, factor analysis, nutritional risk, weight loss, mobility (physical function), body mass index, fluid intake, feeding mode, cognitive impairment, screening efficiency, reliability statistics, orthopedic patients, internal medicine patients
MeSH terms
Aged, Cross-Sectional Studies, Factor Analysis, Statistical, Female, Health Status Indicators, Humans, Male, Nutritional Status, Time Factors, Weight Loss, Geriatric Assessment, Nutrition Assessment, Risk Assessment, Malnutrition

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