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Nutrition in acute and chronic diseases

Exploration of an objective and simple index as the outcome of nutrition support for elderly patients and identification of risk factors

Abstract

Objectives

The study aimed to explore the risk factors for the outcome of nutrition support teams (NSTs) for elderly patients. Previously identified risk factors lack general versatility owing to slightly subjective judgment standards; this study aimed to explore an objective and simple index of NST outcome and identify the risk factors for NST outcome.

Subjects

This retrospective observational study analyzed, 372 elderly patients enrolled in the NST between January 2014 and July 2018. We identified that the energy fill rate to total energy expenditure (%TEE) at the time of NST termination (post-%TEE) < 75.0% was the most valid index for the outcome in our previous study. The cutoff values of continuous variables at the time of NST enrollment (pre-) were set for post-%TEE < 75.0% using receiver operating characteristic curve analysis, and hazard ratios (HRs) were calculated.

Results

From the multivariable Cox proportional hazard analysis, pre-%TEE < 62.6% (HR: 1.96; 95% confidence interval [95% CI]: 1.29–2.99; p = 0.002), presence of pressure ulcers (HR: 1.74; 95% CI: 1.02–2.98; p = 0.042), pre-prognostic nutritional index (PNI) < 32.7 (HR: 1.78; 95% CI: 1.13–2.82; p = 0.014), and presence of pre-peripheral parenteral nutrition (PPN) (HR: 1.74; 95% CI: 1.19–2.56; p = 0.005) were identified as independent risk factors for post-%TEE < 75.0%.

Conclusion

Post-%TEE < 75.0% was the objective and simple index for NST outcomes. Patients with low pre-%TEE, pressure ulcers, low pre-PNI, or pre-PPN require early nutritional intervention.

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Fig. 1: Flow chart of patient selection in this study.

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Data availability

Additional data are available from the corresponding author on reasonable request.

References

  1. Potter JF, Schafer DF, Bohi RL. In-hospital mortality as a function of body mass index: an age-dependent variable. J Gerontol. 1988;43:M59–63.

    Article  PubMed  CAS  Google Scholar 

  2. Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly: The Mini Nutritional Assessment as part of the geriatric evaluation. Nutr Rev. 1996;54:S59–65.

    Article  PubMed  CAS  Google Scholar 

  3. Antonelli Incalzi R, Landi F, Cipriani L, Bruno E, Pagano F, Gemma A, et al. Nutritional assessment: a primary component of multidimensional geriatric assessment in the acute care setting. J Am Geriatr Soc. 1996;44:166–74.

    Article  PubMed  CAS  Google Scholar 

  4. Gavazzi G, Krause K-H. Ageing and infection. Lancet Infect Dis. 2002;2:659–66.

    Article  PubMed  Google Scholar 

  5. Martín S, Pérez A, Aldecoa C. Sepsis and immunosenescence in the elderly patient: A review. Front Med. 2017;4:20.

    Article  Google Scholar 

  6. Akner G, Cederhol T. Treatment of protein-energy malnutrition in chronic nonmalignant disorders. Am J Clin Nutr. 2001;74:6–24.

    Article  PubMed  CAS  Google Scholar 

  7. Dudrick SJ, Wilmore DW, Vars HM, Rhoads JE. Long-term total parenteral nutrition with growth, development, and positive nitrogen balance. Nutr Hosp. 1968;16:287–92.

    Google Scholar 

  8. United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects 2019: Data Booklet. 2019. https://population.un.org/wpp/Publications/Files/WPP2019_DataBooklet.pdf

  9. Ministry of Health, Labour and Welfare of Japan. Chart 1-1-1 Transition of a population pyramid (1990 or 2015 or 2025 or 2065)- medium estimation in 2017-|2017 edition public welfare labor white paper - social security and economic growth- (in Japanese). Tokyo: MHLW, 2017. https://www.mhlw.go.jp/wp/hakusyo/kousei/17/backdata/02-01-01-01.html?SLANG=ja&TLANG=en&XMODE=0&XPARAM=q,&XCHARSET=UTF-8&XPORG=,&XJSID=0. Accessed 10 May 2022.

  10. Bouillanne O, Morineau G, Dupont C, Coulombel I, Vincent J-P, Nicolis I, et al. Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr. 2005;82:777–83.

    Article  PubMed  CAS  Google Scholar 

  11. Hiramatsu M, Momoki C, Kato K, Yasui Y, Oide Y, Kaneishi C, et al. Exploration of nutrition support team outcome predictors for elderly. J Nutr Med Diet Care. 3 (2017).

  12. Hiramatsu M, Momoki C, Oide Y, Kaneishi C, Yasui Y, Shoji K, et al. Association between risk factors and intensive nutritional intervention outcomes in elderly individuals. J Clin Med Res. 2019;11:472–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.

    Article  PubMed  CAS  Google Scholar 

  14. Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173:676–82.

    Article  PubMed  Google Scholar 

  15. Gomes F, Schuetz P, Bounoure L, Austin P, Ballesteros-Pomar M, Cederholm T, et al. ESPEN guidelines on nutritional support for polymorbid internal medicine patients. Clin Nutr. 2018;37:336–53.

    Article  PubMed  Google Scholar 

  16. Ignacio de Ulíbarri J, González-Madroño A, de Villar NGP, González P, González B, Mancha A, et al. CONUT: a tool for controlling nutritional status. First validation in a hospital population. Nutr Hosp. 2005;20:38–45.

    PubMed  Google Scholar 

  17. González-Madroño A, Mancha A, Rodríguez FJ, Culebras J, de Ulibarri JI. Confirming the validity of the CONUT system for early detection and monitoring of clinical undernutrition: comparison with two logistic regression models developed using SGA as the gold standard. Nutr Hosp. 2012;27:564–71.

    PubMed  Google Scholar 

  18. Onodera T, Goseki N, Kosaki G. Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients (in Japanese). Nippon Geka Gakkai Zasshi. 1984;85:1001–5.

    PubMed  CAS  Google Scholar 

  19. Llop-Talaveron J, Badia-Tahull MB, Leiva-Badosa E. An inflammation-based prognostic score, the C-reactive protein/albumin ratio predicts the morbidity and mortality of patients on parenteral nutrition. Clin Nutr. 2018;37:1575–83.

    Article  PubMed  CAS  Google Scholar 

  20. Contreras-Bolívar V, Sánchez-Torralvo FJ, Ruiz-Vico M, González-Almendros I, Barrios M, Padín S, et al. Glim criteria using hand grip strength adequately predict six-month mortality in cancer inpatients. Nutrients 2019;11:2043.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lainscak M, Farkas J, Frantal S, Singer P, Bauer P, Hiesmayr M, et al. Self-rated health, nutritional intake and mortality in adult hospitalized patients. Eur J Clin Invest. 2014;44:813–24.

    Article  PubMed  Google Scholar 

  22. Hiesmayr M, Schindler K, Pernicka E, Schuh C, Schoeniger-Hekele A, Bauer P, et al. Decreased food intake is a risk factor for mortality in hospitalised patients: The NutritionDay survey 2006. Clin Nutr. 2009;28:484–91.

    Article  PubMed  CAS  Google Scholar 

  23. Thibault R, Makhlouf A-M, Kossovsky MP, Iavindrasana J, Chikhi M, Meyer R, et al. Healthcare-associated infections are associated with insufficient dietary intake: an observational cross-sectional study. PLoS One. 2015;10:e0123695.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Horn SD, Bender SA, Ferguson ML, Smout RJ, Bergstrom N, Taler G, et al. The National Pressure Ulcer Long-Term Care Study: pressure ulcer development in long-term care residents. J Am Geriatr Soc. 2004;52:359–67.

    Article  PubMed  Google Scholar 

  25. Lindgren M, Unosson M, Krantz AM, Ek AC. Pressure ulcer risk factors in patients undergoing surgery. J Adv Nurs. 2005;50:605–12.

    Article  PubMed  Google Scholar 

  26. Iizaka S, Okuwa M, Sugama J, Sanada H. The impact of malnutrition and nutrition-related factors on the development and severity of pressure ulcers in older patients receiving home care. Clin Nutr. 2010;29:47–53.

    Article  PubMed  Google Scholar 

  27. Worthington P, Balint J, Bechtold M, Bingham A, Chan LN, Durfee S, et al. When is parenteral nutrition appropriate? J Parenter Enter Nutr. 2017;41:324–77.

    Article  Google Scholar 

  28. Heidegger CP, Berger MM, Graf S, Zingg W, Darmon P, Costanza MC, et al. Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: A randomised controlled clinical trial. Lancet 2013;381:385–93.

    Article  PubMed  Google Scholar 

  29. McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). J Parenter Enter Nutr 2016;40:159–211.

    Article  CAS  Google Scholar 

  30. Caccialanza R, Cereda E, Caraccia M, Klersy C, Nardi M, Cappello S, et al. Early 7-day supplemental parenteral nutrition improves body composition and muscle strength in hypophagic cancer patients at nutritional risk. Support Care Cancer. 2019;27:2497–506.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors are grateful to the participants and hospital members.

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Authors and Affiliations

Authors

Contributions

MH, YY, and DH contributed to study conception and design; MH, YO, and TF contributed to data acquisition; MH and DH contributed to data analysis and interpretation; MH, YY, and DH contributed to the drafting of manuscript and making critical revisions related to important intellectual content of manuscript; All authors have approved the final version of the manuscript.

Corresponding author

Correspondence to Masakazu Hiramatsu.

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The authors declare no competing interests.

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Hiramatsu, M., Oide, Y., Yasui, Y. et al. Exploration of an objective and simple index as the outcome of nutrition support for elderly patients and identification of risk factors. Eur J Clin Nutr 76, 1727–1732 (2022). https://doi.org/10.1038/s41430-022-01168-5

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