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EuroOOPS: An international, multicentre study to implement nutritional risk screening and evaluate clinical outcome
Abstract
Background & aims The aim of the study was to implement nutritional risk screening (NRS-2002) and to assess the association between nutritional risk and clinical outcome. Methods NRS-2002 was implemented in 26 hospital departments (surgery, internal medicine, oncology, intensive care, gastroenterology and geriatrics) in Austria, the Czech Republic, Egypt, Germany, Hungary, Lebanon, Libya, Poland, Romania, Slovakia, Spain and Switzerland. Being a prospective cohort study, randomly selected adult patients were included at admission and followed during their hospitalisation. Data were collected on the nutritional risk screening, complications, mortality, length of stay and discharge. The correlation between risk status and clinical outcome was assessed and adjusted for confounders (age, speciality, diagnoses, comorbidity, surgery, cancer and region) by multivariate regression analysis. Results Of the 5051 study patients, 32.6% were defined as 'at-risk' by NRS-2002. 'At-risk' patients had more complications, higher mortality and longer lengths of stay than 'not at-risk' patients and these variables were significantly related to components of NRS-2002, also when adjusted for confounders. Conclusions Components of NRS-2002 are independent predictors of poor clinical outcome.
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“Observational studies have shown the frequency of complications in untreated at-risk patients to be three times higher than in patients not at-risk, and furthermore length of hospital stay (LOS) is 50% longer, which has a negative influence on clinical outcomes [18].”
From ESPEN guideline on nutritional support for polymorbid medical inpatients (2023) · cites this paper as [18]
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“Its predictive value was validated by applying it to a retrospectively 128 RCTs on nutritional support [17] and prospectively in a cohort including 5051 hospitalized patients in 12 European Countries and 26 different surgical centers [8].”
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“In another international, multicenter trial (n=5,018, mixed population; about 20% oncology patients), an NRS-2002 score≥3 was shown to be significantly related to longer hospital stay and to higher complication and mortality rates, also after adjustment for confounders [3].”
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“In contrast to the MNA, the NRS is applicable in nearly all patients and takes much less time to perform (Bauer et al., 2005; Kyle et al., 2006); in addition, it is better validated with outcome data in various patient populations (Kondrup et al., 2003b; Sorensen et al., 2008).”
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Hospital malnutrition in northeast and southeast Asia: A systematic literature review.
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Nutritional screening in a population-based cohort of community-dwelling older people.
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Nutritional screening for risk prediction in patients scheduled for abdominal operations
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“This is of major relevance since the early identification of undernourished patients followed by nutrition intervention will improve the clinical course, as well as short- and long-term results.(3,4) HGS measurement devices are noninvasive, quick and easy to 514113 PENXXX10.”
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“Despite the greater awareness of this condition by healthcare staff and improvements in the assessment of malnutrition, multiple reports have indicated that only a minority of malnourished patients actually receives appropriate nutrition support while hospitalized [25, 26].”
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“Uni- and multivariate logistic analyses were conducted to evaluate the influence of nutritional status and support on weight loss and the therapy-related AE rate (10).”
MethodNutritional Support in Coronavirus 2019 Disease
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“A modified NUTRIC score is recommended for screening [23] whenever history of body weight and dietary habits in critically ill patients are available [29].”
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“Importantly, prevalence of being nutritionally ‘at-risk’ was above 10% in all main diagnosis categories, which is in line with the results reported by one Norwegian [25] and one multicenter [3] studies.”
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Klinische Ernährung in der Chirurgie
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Food for patients at nutritional risk: A model of food sensory quality to promote intake
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Self-citationReducing hospital bed use by frail older people: results from a systematic review of the literature
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“Studies of association have shown that falls [51], polypharmacy [52], poor nutrition [53–55] and lack of exercise [56] are all associated with increased hospital bed use in older people, so interventions targeted on these areas have the potential to reduce hospital bed use.”
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“[737] Sorensen J, Kondrup J, Prokopowicz J et al.”
BackgroundNutritional Support for Alcoholic Liver Disease
Tadokoro, T., Morishita, A., Himoto, T., & Masaki, T. (2023) · Nutrients · doi:10.3390/nu15061360 · Cited by 66
Metadata
- Authors
- Sorensen, J., Kondrup, J., Prokopowicz, J., Schiesser, M., Krähenbühl, L., Meier, R., & Liberda, M.
- Affiliations
- University of Copenhagen (DK)
- University Hospital Zurich (CH)
- HFR Freiburg Kantonsspital (CH)
- Venue
- Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 27
- Issue
- 3
- Pages
- 340-349
- ISSN
- 0261-5614 (ISSN-L)
- OpenAlex
- W2041669990
- Cited by
- 607
- References
- 0
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 31 · 2023: 40 · 2022: 37 · 2021: 56 · 2020: 47 · 2019: 47 · 2018: 24 · 2017: 33 · 2016: 29 · 2015: 42 · 2014: 41 · 2013: 34 · 2012: 35
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Nursing › Nutrition and Dietetics › Dietetics, Nutrition, and Education
- Keywords
- nutritional risk screening, NRS-2002, nutritional risk, clinical outcomes, in-hospital mortality, postoperative complications, length of hospital stay, hospital discharge, predictors of poor outcome, multicenter study
- MeSH terms
- Female, Humans, Length of Stay, Male, Mass Screening, Middle Aged, Nutritional Status, Predictive Value of Tests, Prognosis, Prospective Studies, Sensitivity and Specificity, Cohort Studies, Weight Loss, Nutrition Assessment, Multivariate Analysis, Treatment Outcome, Hospital Mortality, Risk Assessment, Malnutrition
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