Browsing Han Publications by Author "Cederholm, T."

Now showing items 1-7 of 7

The centenary of the Harris-Benedict equations: How to assess energy requirements best? Recommendations from the ESPEN expert group
Bendavid, I ; Lobo, DN ; Barazzoni, R. ; Cederholm, T. ; Coeffier, M ; Schueren, M.A.E. de van der ; Fontaine, E ; Hiesmayr, M. ; Laviano, A. ; Pichard, C ; Singer, P. et al. sine al.
2021, Article / Letter to editor (Clinical Nutrition, vol. 40, iss. 3, (2021), pp. 690-701)Background & aims: The year 2019 marked the centenary of the publication of the Harris and Benedict equations for estimation of energy expenditure. In October 2019 a Scientific Symposium was organized by the European Society for Clinical Nutrition and Metabolism (ESPEN) in Vienna, Austria, to celebrate this historical landmark, looking at what is currently known about the estimation and measurement of energy expenditure. Methods: Current evidence was discussed during the symposium, including the scientific basis and clinical knowledge, and is summarized here to assist with the estimation and measurement of energy requirements that later translate into energy prescription. Results: In most clinical settings, the majority of predictive equations have low to moderate performance, with the best generally reaching an accuracy of no more than 70%, and often lead to large errors in estimating the true needs of patients. Generally speaking, the addition of body composition measurements did not add to the accuracy of predictive equations. Indirect calorimetry is the most reliable method to measure energy expenditure and guide energy prescription, but carries inherent limitations, greatly restricting its use in real life clinical practice. Conclusions: While the limitations of predictive equations are clear, their use is still the mainstay in clinical practice. It is imperative to recognize specific patient populations for whom a specific equation should be preferred. When available, the use of indirect calorimetry is advised in a variety of clinical settings, aiming to avoid under-as well as overfeeding. (C)2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
Global Leadership Initiative on Malnutrition (GLIM): Guidance on Validation of the Operational Criteria for the Diagnosis of Protein-Energy Malnutrition in Adults
Keller, H. ; Schueren, M.A.E. de van der ; Jensen, G.L. ; Barazzoni, R. ; Compher, C. ; Correia, M.I.T.D. ; Gonzalez, M.C. ; Jager-Wittenaar, H ; Pirlich, M. ; Steiber, A ; Waitzberg, D. ; Cederholm, T. et al. sine al.
2020, Article / Letter to editor (Jpen, Journal of Parenteral and Enteral Nutrition, vol. 44, iss. 6, (2020), pp. 992-1003)Background The Global Leadership Initiative on Malnutrition (GLIM) created a consensus-based framework consisting of phenotypic and etiologic criteria to record the occurrence of malnutrition in adults. This is a minimum set of practicable indicators for use in characterizing a patient/client as malnourished, considering the global variations in screening and nutrition assessment, and to be used across different healthcare settings. As with other consensus-based frameworks for diagnosing disease states, these operational criteria require validation and reliability testing, as they are currently based solely on expert opinion. Methods Several forms of validation and reliability are reviewed in the context of GLIM, providing guidance on how to conduct retrospective and prospective studies for criterion and construct validity. Results There are some aspects of GLIM that require refinement; research using large databases can be employed to reach this goal. Machine learning is also introduced as a potential method to support identification of the best cut points and combinations of indicators for use with the different forms of malnutrition, which the GLIM criteria were created to denote. It is noted as well that validation and reliability testing need to occur in a variety of sectors and populations and with diverse persons using GLIM criteria. Conclusion The guidance presented supports the conduct and publication of quality validation and reliability studies for GLIM.
Global Leadership Initiative on Malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults
Schueren, M.A.E. de van der ; Keller, H. ; Cederholm, T. ; Barazzoni, R. ; Compher, C. ; Correia, M.I.T.D. ; Gonzalez, M.C. ; Jager-Wittenaar, H ; Pirlich, M. ; Steiber, A ; Waitzberg, D. ; Jensen, G.L. et al. sine al.
2020, Article / Letter to editor (Clinical Nutrition, vol. 39, iss. 9, (2020), pp. 2872-2880)Background: The Global Leadership Initiative on Malnutrition (GLIM) created a consensus-based framework consisting of phenotypic and etiologic criteria to record the occurrence of malnutrition in adults. This is a minimum set of practicable indicators for use in characterizing a patient/client as malnourished, considering the global variations in screening and nutrition assessment, and to be used across different health care settings. As with other consensus-based frameworks for diagnosing disease states, these operational criteria require validation and reliability testing as they are currently based solely on expert opinion. Methods: Several forms of validation and reliability are reviewed in the context of GLIM, providing guidance on how to conduct retrospective and prospective studies for criterion and construct validity. Findings: There are some aspects of GLIM criteria which require refinement; research using large data bases can be employed to reach this goal. Machine learning is also introduced as a potential method to support identification of the best cut-points and combinations of operational criteria for use with the different forms of malnutrition, which the GLIM criteria were created to denote. It is noted as well that the validation and reliability testing need to occur in a variety of sectors, populations and with diverse persons completing the criteria. Conclusion: The guidance presented supports the conduct and publication of quality validation and reliability studies for GLIM. (c) 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism and American Society for Parenteral and Enteral Nutrition [Published by Wiley]. All rights reserved.
Frailty, Sarcopenia, and Malnutrition Frequently (Co-)occur in Hospitalized Older Adults: A Systematic Review and Meta-analysis
Ligthart-Melis, GC ; Luiking, YC ; Kakourou, A ; Cederholm, T. ; Maier, A.B. ; Schueren, M.A.E. de van der
2020, Article / Letter to editor (Journal of the American Medical Directors Association, vol. 21, iss. 9, (2020), pp. 1216-1228)Objectives: The purpose of this systematic review and meta-analysis was to summarize the prevalence of, and association between, physical frailty or sarcopenia and malnutrition in older hospitalized adults. Design: A systematic literature search was performed in 10 databases. Setting and Participants: Articles were selected that evaluated physical frailty or sarcopenia and malnutrition according to predefined criteria and cutoffs in older hospitalized patients. Measures: Data were pooled in a meta-analysis to evaluate the prevalence of prefrailty and frailty [together (pre-)frailty], sarcopenia, and risk of malnutrition and malnutrition [together (risk of) malnutrition], and the association between either (pre-)frailty or sarcopenia and (risk of) malnutrition. Results: Forty-seven articles with 18,039 patients (55% female) were included in the systematic review, and 39 articles (8868 patients, 62% female) were eligible for the meta-analysis. Pooling 11 studies (2725 patients) revealed that 84% [95% confidence interval (CI): 77%, 91%, I-2 = 98.4%] of patients were physically (pre-)frail. Pooling 15 studies (4014 patients) revealed that 37% (95% CI: 26%, 48%, I-2 = 98.6%) of patients had sarcopenia. Pooling 28 studies (7256 patients) revealed a prevalence of 66% (95% CI: 58%, 73%, I-2 = 98.6%) (risk of) malnutrition. Pooling 10 studies (2427 patients) revealed a high association [odds ratio (OR): 5.77 (95% CI: 3.88, 8.58), P < .0001, I-2 = 42.3%] and considerable overlap (49.7%) between physical (pre-)frailty and (risk of) malnutrition. Pooling 7 studies (2506 patients) revealed a high association [OR: 4.06 (95% CI: 2.43, 6.80), P < .0001, I-2 = 71.4%] and considerable overlap (41.6%) between sarcopenia and (risk of) malnutrition. Conclusions and Implications: The association between and prevalence of (pre-)frailty or sarcopenia and (risk of) malnutrition in older hospitalized adults is substantial. About half of the hospitalized older adults suffer from 2 and perhaps 3 of these debilitating conditions. Therefore, standardized screening for these conditions at hospital admission is highly warranted to guide targeted nutritional and physical interventions. (C) 2020 AMDA - The Society for Post-Acute and Long-Term Care Medicine.
GLIM Core Leadership Committee, GLIM Working Group. GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community.
Cederholm, T. ; Jensen, G.L. ; Correia, M.I.T.D. ; Gonzalez, M.C. ; Fukushima, R. ; Higashiguchi, T. ; Baptista, G. ; Barazzoni, R. ; Blaauw, R. ; Coats, A.J.S. ; Crivelli, A.N. ; Evans, D.C. ; Gramlich, L. ; Fuchs-Tarlovsky, V. ; Keller, H. ; Llido, L. ; Malone, A. ; Mogensen, K.M. ; Morley, J.E. ; Muscaritoli, M. ; Nyulasi, I. ; Pirlich, M. ; Pisprasert, V. ; Schueren, M.A.E. de van der ; Siltharm, S. ; Singer, P. ; Tappenden, K. ; Velasco, N. ; Waitzberg, D. ; Yamwong, P. ; Yu, J. ; Gossum, A. van ; Compher, C. et al. sine al.
2019, Article / Letter to editor (Journal of Cachexia Sarcopenia and Muscle, vol. 10, iss. 1, (2019), pp. 207-217)
GLIM Core Leadership Committee, GLIM Working Group. GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community.
Cederholm, T. ; Jensen, G.L. ; Correia, M.I.T.D. ; Gonzalez, M.C. ; Fukushima, R. ; Higashiguchi, T. ; Baptista, G. ; Barazzoni, R. ; Blaauw, R. ; Coats, A.J.S. ; Crivelli, A.N. ; Evans, D.C. ; Gramlich, L. ; Fuchs-Tarlovsky, V. ; Keller, H. ; Llido, L. ; Malone, A. ; Mogensen, K.M. ; Morley, J.E. ; Muscaritoli, M. ; Nyulasi, I. ; Pirlich, M. ; Pisprasert, V. ; Schueren, M.A.E. de van der ; Siltharm, S. ; Singer, P. ; Tappenden, K. ; Velasco, N. ; Waitzberg, D. ; Yamwong, P. ; Yu, J. ; Gossum, A. van ; Compher, C. et al. sine al.
2019, Article / Letter to editor (Clinical Nutrition, vol. 38, iss. 1, (2019), pp. 1-9)
GLIM Criteria for the Diagnosis of Malnutrition: A Consensus Report From the Global Clinical Nutrition Community.
Cederholm, T. ; Jensen, G.L. ; Correia, M.I.T.D. ; Gonzalez, M.C. ; Fukushima, R. ; Higashiguchi, T. ; Baptista, G. ; Barazzoni, R. ; Blaauw, R. ; Coats, A.J.S. ; Crivelli, A.N. ; Evans, D.C. ; Gramlich, L. ; Fuchs-Tarlovsky, V. ; Keller, H. ; Llido, L. ; Malone, A. ; Mogensen, K.M. ; Morley, J.E. ; Muscaritoli, M. ; Nyulasi, I. ; Pirlich, M. ; Pisprasert, V. ; Schueren, M.A.E. de van der ; Siltharm, S. ; Singer, P. ; Tappenden, K. ; Velasco, N. ; Waitzberg, D. ; Yamwong, P. ; Yu, J. ; Gossum, A. van ; Compher, C. et al. sine al.
2019, Article / Letter to editor (Jpen, Journal of Parenteral and Enteral Nutrition, vol. 43, iss. 1, (2019), pp. 32-40)

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