GLIM in nursing homes; practical implications

Schueren, Marian A.E. de van der; Borkent, Jos W.; Spaans, Gijs W.; Nijhof, Annemarie; Manders, M.

doi:10.1016/j.clnu.2022.09.003

Cited by 12 publications

(12 citation statements)

References 10 publications

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“…Our data imply that this cut-off point should be raised to 22 and that also those with recent weight loss should be examined for malnutrition by a dietitian. A previous report of our group showed that nearly all residents who displayed recent weight loss or a low BMI also suffered from poor food intake [ 36 ]. So, future assessments are strongly recommended, as residents are suffering from recent weight loss or a low BMI.…”

Section: Discussionmentioning

confidence: 99%

“…The use of the ESPEN definition likely underestimated the prevalence and incidence of GLIM malnutrition in our sample, as recent studies showed higher rates of malnutrition based on the GLIM criteria compared to the ESPEN 2015 definition [ 28 , 37 ]. In a recent observational study, we found a malnutrition prevalence rate of 21% in a sample of 176 nursing home residents, based on body weight loss, BMI and registered food intake over 3 days [ 36 ], which is indeed higher than ESPEN.…”

Section: Discussionmentioning

confidence: 99%

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Diseases, Health-Related Problems, and the Incidence of Malnutrition in Long-Term Care Facilities

Borkent

Hout

Feskens

et al. 2023

IJERPH

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Certain diseases and malnutrition are known to co-occur in residents of long-term care facilities (LTCF). We assessed which diseases and health-related problems are associated with malnutrition at admission or with incident malnutrition during stays and how different definitions of malnutrition affect these associations. Data of Dutch LTCF residents were obtained from the InterRAI-LTCF instrument (2005–2020). We analyzed the association of diseases (diabetes, cancer, pressure ulcers, neurological, musculoskeletal, psychiatric, cardiac, infectious and pulmonary diseases) and health-related problems (aspiration, fever, peripheral edema, aphasia, pain, supervised/assisted eating, balance, psychiatric, GI tract, sleep, dental and locomotion problems) with malnutrition (recent weight loss (WL), low age-specific BMI (BMI), and ESPEN 2015 definition (ESPEN)) at admission (n = 3713), as well as with incident malnutrition during stay (n = 3836, median follow-up ~1 year). Malnutrition prevalence at admission ranged from 8.8% (WL) to 27.4% (BMI); incident malnutrition during stay ranged from 8.9% (ESPEN) to 13.8% (WL). At admission, most diseases (except cardiometabolic diseases) and health-related problems were associated with higher prevalence of malnutrition based on either criterion, but strongest with WL. This was also seen in the prospective analysis, but relationships were less strong compared to the cross-sectional analysis. A considerable number of diseases and health-related problems are associated with an increased prevalence of malnutrition at admission and incident malnutrition during stays in LTCFs. At admission, low BMI is a good indicator of malnutrition; during stays, we advise use of WL.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Diseases, Health-Related Problems, and the Incidence of Malnutrition in Long-Term Care Facilities

Borkent

Hout

Feskens

et al. 2023

IJERPH

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“…The use of the ESPEN definition likely underestimated the prevalence and incidence of GLIM-malnutrition in our sample as recent studies showed higher rates of malnutrition based on the GLIM criteria compared to the ESPEN 2015 definition [214,246]. In a recent observational study, we found a malnutrition prevalence rate of 21% in a sample of 176 nursing home residents, based on body weight loss, BMI and registered food intake over 3 days [247], which is indeed higher than ESPEN.…”

Section: Limitations and Strengthsmentioning

confidence: 56%

“…The MNA-sf is a sensitive, but not very specific tool, and will therefore classsify large groups at risk incorrectly [68]. A recent study (not included in this thesis), based on the data described in chapter 8, showed that 64.2% of the residents were at moderate/high risk of malnutrition based on MNA-sf compared to 54.0% based on SNAQ RC [247]. As both tools identified all residents who were malnourished based on the GLIM criteria, MNA-sf over-identified residents as malnourished.…”

Section: Identifying Malnutrition During Staymentioning

confidence: 98%

“…At this moment, it is unclear which screening tool is best to identify malnourished persons. Especially the criteria of low muscle mass and poor food intake are difficult to assess by using questionnaires [247]. Hence, despite the large number of available screening tools [68], it is unclear whether they are sensitive and specific enough.…”

Section: Screening Toolsmentioning

confidence: 99%

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Malnutrition during the journey of ageing

Borkent¹

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Table of contentsChapter 1 General introduction Chapter 2 Prevalence and determinants of undernutrition in a sample of Dutch community-dwelling older adults: Results from two online screening tools.Chapter 3 Cross-country differences and similarities in undernutrition prevalence and risk as measured by SCREEN II in communitydwelling older adults.Chapter 4 What do screening tools measure? lessons learned from SCREEN II and SNAQ 65+ .Chapter 5 The ConsuMEER study: A randomized trial towards the effectiveness of protein-rich ready-made meals and protein-rich dairy products in increasing protein intake of community-dwelling older adults after switching from self-prepared meals towards ready-made meals.Chapter 6 Behavioural and cognitive problems as determinants of malnutrition in long-term care facilities, a cross-sectional and prospective study.Chapter 7 Diseases, health-related problems and the incidence of malnutrition in long-term care facilities.Chapter 8 Low protein and energy intake in Dutch nursing homes residents.Chapter 9 General discussion.

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