Admission kidney function is a strong predictor for the response to nutritional support in patients at nutritional risk
Open accessAbstract
Background Patients with chronic kidney disease (CKD) are at substantial risk of malnutrition, which negatively affects clinical outcomes. We investigated the association of kidney function assessed at hospital admission and effectiveness of nutritional support in hospitalized medical patients at risk of malnutrition. Methods This is a secondary analysis of an investigator-initiated, randomized-controlled, Swiss multicenter trial (EFFORT) that compared individualised nutritional support with usual hospital food on clinical outcomes. We compared effects of nutritional support on mortality in subgroups of patients stratified according to kidney function at the time of hospital admission (estimated glomerular filtration rates [eGFR] <15, 15-29, 30-59, 60-89 and ≥ 90 ml/min/1.73 m 2). Results We included 1943 of 2028 patients (96%) from the original trial with known admission creatinine levels. Admission eGFR was a strong predictor for the beneficial effects of nutritional support in regard to lowering of 30-day mortality. Patients with an eGFR <15, 15-29 and 30-59 had the strongest mortality benefit (odds ratios [95%CI] of 0.24 [0.05 to 1.25], 0.37 [0.14 to 0.95] and 0.39 [0.21 to 0.75], respectively), while patients with less severe impairment in kidney function had a less pronounced mortality benefits (p for interaction 0.001). A similar stepwise association of kidney function and response to nutritional support was found also for other secondary outcomes. Conclusion In medical inpatients at nutritional risk, admission kidney function was a strong predictor for the response to nutritional therapy. Initial kidney function may help to individualize nutritional support in the future by identification of patients with most clinical benefit. Clinical trial registration Registered under ClinicalTrials.gov Identifier no. NCT02517476.
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In EFFORT, patients with eGFR 15-29 ml/min/1.73m2 receiving 0.8 g/kg/day and those with eGFR 30-59 ml/min/1.73m2 receiving 1.2-1.5 g/kg/day showed the strongest benefits on 30-day mortality (OR 0.37, 95% CI 0.14 to 0.95 and OR 0.39, 95% CI 0.21 to 0.75, respectively).
“However, the degree of kidney impairment was a strong predictor for response to nutritional support and patients with eGFR of 15e29 l/min/1.73m 2 receiving 0.8 g and those with 30e59 ml/min/1.73m 2 receiving 1.2e1.5 g/kg body weight/day showed the strongest benefits on 30day mortality (OR 0.37, 95% CI 0.14 to 0.95 and 0.39, 95% CI 0.21 to 0.75, respectively) (Level of Evidence 1þþ) [89].”
From ESPEN guideline on nutritional support for polymorbid medical inpatients (2023) · cites this paper as [89]
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Experimental — accuracy not yet measuredFor polymorbid medical inpatients at nutritional risk with impaired kidney function (eGFR <30 ml/min/1.73m2) who are not on kidney replacement therapy, a low amount of protein of 0.8 g protein/kg body weight/day should be targeted.
“For polymorbid medical inpatients at nutritional risk with impaired kidney function (eGFR <30 ml/min/1.73m 2 ) who are not on kidney replacement therapy, a low amount of protein of 0.8 g protein/kg body weight/day should be targeted.”
From ESPEN guideline on nutritional support for polymorbid medical inpatients (2023) · cites this paper as [89]
The Study intervention section sets a target of 0.8 g/kg body weight for patients with eGFR <30, supporting the stated amount and threshold. But the Patient population section says patients on dialysis were included in the eGFR <15 group, so the paper does not limit that target to patients not receiving kidney replacement therapy. The Discussion also says the trial did not validate whether 0.8 g/kg was the optimal target. (LLM, conf=0.88)
Experimental — accuracy not yet measuredKidney disease predicts response to nutritional treatment, with lower estimated glomerular filtration rates showing stronger clinical benefit.
“A recent study by Bargetzi et al. found that kidney disease predicted response to nutritional treatment with lower estimated glomerular filtration rates [eGFR] showing stronger clinical benefit [89] (Level of evidence: 1þþ).”
From ESPEN guideline on nutritional support for polymorbid medical inpatients (2023) · cites this paper as [89]
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Cites
Stevens, P. E., Levin, A., & for the Kidney Disease: Improving Global Outcomes Chronic Kidney Disease Guideline Development Work Group Members* (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-11-201306040-00007 · Cited by 3,607 · see citing works
Klahr, S., Levey, A. S., Beck, G. J., Caggiula, A. W., Hunsicker, L., Kusek, J. W., & Striker, G. (1994) · New England Journal of Medicine · doi:10.1056/nejm199403313301301 · Cited by 2,328 · see citing works
KDOQI clinical practice guideline for nutrition in CKD: 2020 update
Ikizler, T. A., Burrowes, J. D., Byham-Gray, L. D., Campbell, K. L., Carrero, J.-J., Chan, W., Fouque, D., Friedman, A. N., Ghaddar, S., Goldstein-Fuchs, D. J., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2020.05.006 · Cited by 1,960 · see citing works
Schuetz, P., Fehr, R., Baechli, V., Geiser, M., Deiss, M., Gomes, F., Kutz, A., Tribolet, P., Bregenzer, T., Braun, N., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32776-4 · Cited by 910 · see citing works
Self-citationDeutz, N. E., Matheson, E. M., Matarese, L. E., Luo, M., Baggs, G. E., Nelson, J. L., Hegazi, R. A., Tappenden, K. A., & Ziegler, T. R. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2015.12.010 · Cited by 472 · see citing works
ESPEN guidelines on nutritional support for polymorbid internal medicine patients
Gomes, F., Schuetz, P., Bounoure, L., Austin, P., Ballesteros-Pomar, M., Cederholm, T., Fletcher, J., Laviano, A., Norman, K., Poulia, K.-A., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2017.06.025 · Cited by 363 · see citing works
Self-citationMerker, M., Felder, M., Gueissaz, L., Bolliger, R., Tribolet, P., Kägi-Braun, N., Gomes, F., Hoess, C., Pavlicek, V., Bilz, S., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.0663 · Cited by 262 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 36
- Iorember FM. Malnutrition in Chronic Kidney Disease. Front Pediatr. 2018;6:161.
- Toigo G, Aparicio M, Attman PO, Cano N, Cianciaruso B, Engel B, et al. Expert Working Group report on nutrition in adult patients with renal insufficiency (part 1 of 2). Clin Nutr. 2000;19:197-207.
- Garg AX, Blake PG, Clark WF, Clase CM, Haynes RB, Moist LM. Association between renal insufficiency and malnutrition in older adults: results from the NHANES III. Kidney Int. 2001;60:1867-74.
- Kalantar-Zadeh K, Fouque D. Nutritional Management of Chronic Kidney Disease. N Engl J Med. 2017;377:1765-76.
- Kalantar-Zadeh K, Fouque D. Nutritional Management of Chronic Kidney Disease. N Engl J Med. 2018;378:584-5.
- Carrero JJ, Thomas F, Nagy K, Arogundade F, Avesani CM, Chan M, et al. Global Prevalence of Protein-Energy Wasting in Kidney Disease: A Meta-analysis of Contemporary Observational Studies From the International Society of Renal Nutrition and Metabolism. J Ren Nutr. 2018;28:380-92.
- Aggarwal HK, Jain D, Chauda R, Bhatia S, Sehgal R. Assessment of Malnutrition Inflammation Score in Different Stages of Chronic Kidney Disease. Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2018;39:51-61.
- Felder S, Lechtenboehmer C, Bally M, Fehr R, Deiss M, Faessler L, et al. Association of nutritional risk and adverse medical outcomes across different medical inpatient populations. Nutrition. 2015;31:1385-93.
- Toigo G, Aparicio M, Attman PO, Cano N, Cianciaruso B, Engel B, et al. Expert working group report on nutrition in adult patients with renal insufficiency (Part 2 of 2). Clin Nutr. 2000;19:281-91.
- Cano N, Fiaccadori E, Tesinsky P, Toigo G, Druml W, Dgem, et al. ESPEN Guidelines on Enteral Nutrition: Adult renal failure. Clin Nutr. 2006;25:295-310.
- Yan B, Su X, Xu B, Qiao X, Wang L. Effect of diet protein restriction on progression of chronic kidney disease: A systematic review and meta-analysis. PLoS One. 2018;13:e0206134.
- Yue H, Zhou P, Xu Z, Liu L, Zong A, Qiu B, et al. Effect of low-protein diet on kidney function and nutrition in nephropathy: A systematic review and meta-analysis of randomized controlled trials. Clin Nutr. 2020;39:2675-85.
- Rhee CM, Ahmadi SF, Kovesdy CP, Kalantar-Zadeh K. Low-protein diet for conservative management of chronic kidney disease: a systematic review and meta- analysis of controlled trials. J Cachexia Sarcopenia Muscle. 2018;9:235-45.
- Rughooputh MS, Zeng R, Yao Y. Protein Diet Restriction Slows Chronic Kidney Disease Progression in Non-Diabetic and in Type 1 Diabetic Patients, but Not in Type 2 Diabetic Patients: A Meta-Analysis of Randomized Controlled Trials Using Glomerular Filtration Rate as a Surrogate. PLoS One. 2015;10:e0145505.
- Pan Y, Guo LL, Jin HM. Low-protein diet for diabetic nephropathy: a meta-analysis of randomized controlled trials. Am J Clin Nutr. 2008;88:660-6.
- Schuetz P, Fehr R, Baechli V, Geiser M, Gomes F, Kutz A, et al. Design and rationale of the effect of early nutritional therapy on frailty, functional outcomes and recovery of malnourished medical inpatients (EFFORT): a pragmatic, multicenter, randomized- controlled trial-Protocol. International Journal of Clinical Trials. 2018;5:142-50.
- Schuetz P, Sulo S, Walzer S, Vollmer L, Stanga Z, Gomes F, et al. Economic evaluation of individualized nutritional support in medical inpatients: Secondary analysis of the EFFORT trial. Clin Nutr. 2020;39:3361-8.
- Hersberger L, Bargetzi L, Bargetzi A, Tribolet P, Fehr R, Baechli V, et al. Nutritional risk screening (NRS 2002) is a strong and modifiable predictor risk score for short-term and long-term clinical outcomes: secondary analysis of a prospective randomised trial. Clin Nutr. 2020;39:2720-9.
- Friedli N, Baumann J, Hummel R, Kloter M, Odermatt J, Fehr R, et al. Refeeding syndrome is associated with increased mortality in malnourished medical inpatients: Secondary analysis of a randomized trial. Medicine (Baltimore). 2020;99:e18506.
- Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604-12.
- Sanson G, Sadiraj M, Barbin I, Confezione C, De Matteis D, Boscutti G, et al. Prediction of early-and long-term mortality in adult patients acutely admitted to internal medicine: NRS-2002 and beyond. Clin Nutr. 2020;39:1092-100.
- Brown RO, Compher C, American Society for P, Enteral Nutrition Board of D. A.S.P.E.N. clinical guidelines: nutrition support in adult acute and chronic renal failure. JPEN J Parenter Enteral Nutr. 2010;34:366-77.
- Harada K, Suzuki S, Ishii H, Hirayama K, Aoki T, Shibata Y, et al. Nutrition Status Predicts Severity of Vascular Calcification in Non-Dialyzed Chronic Kidney Disease. Circ J. 2017;81:316-21.
- Thancharoen O, Waleekhachonloet O, Limwattananon C, Anutrakulchai S. Cognitive impairment, quality of life and healthcare utilization in patients with chronic kidney disease stages 3 to 5. Nephrology (Carlton). 2020;25:625-33.
- Mandelli S, Riva E, Tettamanti M, Detoma P, Giacomin A, Lucca U. Association of renal function with cognition, functional ability and mood in the oldest-old: The 'Health and Anemia study'. Nephrology (Carlton). 2020;25:48-54.
- Vearing R, Casey S, Zaremba C, Bowden S, Ferguson A, Goodisson C, et al. Evaluation of the impact of a post-hospital discharge Transitional Aged Care Service on frailty, malnutrition and functional ability. Nutr Diet. 2019;76:472-9.
- Campbell KL, Ash S, Bauer JD. The impact of nutrition intervention on quality of life in pre-dialysis chronic kidney disease patients. Clin Nutr. 2008;27:537-44.
- Yu Z, Rebholz CM, Wong E, Chen Y, Matsushita K, Coresh J, et al. Association Between Hypertension and Kidney Function Decline: The Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis. 2019;74:310-9.
- Wang M, Li J, Li Y, Yao S, Zhao M, Wang C, et al. The effects of hypertension and diabetes on new-onset chronic kidney disease: A prospective cohort study. J Clin Hypertens (Greenwich). 2020;22:39-46.
- Tomiyama C, Higa A, Dalboni MA, Cendoroglo M, Draibe SA, Cuppari L, et al. The impact of traditional and non-traditional risk factors on coronary calcification in pre- dialysis patients. Nephrol Dial Transplant. 2006;21:2464-71.
- Pedrini MT, Levey AS, Lau J, Chalmers TC, Wang PH. The effect of dietary protein restriction on the progression of diabetic and nondiabetic renal diseases: a meta- analysis. Ann Intern Med. 1996;124:627-32.
- Zeller K, Whittaker E, Sullivan L, Raskin P, Jacobson HR. Effect of restricting dietary protein on the progression of renal failure in patients with insulin-dependent diabetes mellitus. N Engl J Med. 1991;324:78-84.
- Giordano M, Ciarambino T, Castellino P, Cataliotti A, Malatino L, Ferrara N, et al. Long-term effects of moderate protein diet on renal function and low-grade inflammation in older adults with type 2 diabetes and chronic kidney disease. Nutrition. 2014;30:1045-9.
- Raphael KL. The Dietary Approaches to Stop Hypertension (DASH) diet in chronic kidney disease: should we embrace it? Kidney Int. 2019;95:1296-8.
- Taghavi M, Sadeghi A, Maleki V, Nasiri M, Khodadost M, Pirouzi A, et al. Adherence to the dietary approaches to stop hypertension-style diet is inversely associated with chronic kidney disease: a systematic review and meta-analysis of prospective cohort studies. Nutr Res. 2019;72:46-56.
- Yuzbashian E, Asghari G, Mirmiran P, Amouzegar-Bahambari P, Azizi F. Adherence to low-sodium Dietary Approaches to Stop Hypertension-style diet may decrease the risk of incident chronic kidney disease among high-risk patients: a secondary prevention in prospective cohort study. Nephrol Dial Transplant. 2018;33:1159-68.
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Self-citationESPEN guideline on nutritional support for polymorbid medical inpatients
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“…patients with eGFR of 15 e 29 l/min/1.73 m 2 receiving 0.8 g and those with 30 e 59 ml/min/1.73 m 2 receiving 1.2 e 1.5 g/kg body weight/day showed the strongest bene fi ts on 30-day mortality (OR 0.37, 95% CI 0.14 to 0.95 and 0.39, 95% CI 0.21 to 0.75, respectively) ( Level of Evidence 1 þþ ) [89].”
InfluentialSelf-citation
- Authors
- Bargetzi, A., Emmenegger, N., Wildisen, S., Nickler, M., Bargetzi, L., Hersberger, L., Segerer, S., Kaegi-Braun, N., Tribolet, P., Gomes, F., Hoess, C., Pavlicek, V., Bilz, S., Sigrist, S., Brändle, M., Henzen, C., Thomann, R., Rutishauser, J., Aujesky, D., Rodondi, N., Donzé, J., Stanga, Z., Mueller, B., & Schuetz, P.
- Affiliations
- University of Basel (CH)
- Kantonsspital Aarau (CH)
- Bern University of Applied Sciences (CH)
- New York Academy of Sciences (US)
- Kantonsspital Münsterlingen (CH)
- Kantonsspital St. Gallen (CH)
- Luzerner Kantonsspital (CH)
- Kantonsspital Baselland (CH)
- University of Bern (CH)
- Corresponding author
- Schuetz, Philipp
- ORCID
- Bargetzi, Annika
- Wildisen, Simone
- Bargetzi, Laura
- Hersberger, Lara
- Segerer, Stephan
- Kaegi-Braun, Nina
- Tribolet, Pascal
- Gomes, Filomena
- Hoess, Claus
- Pavlicek, Vojtech
- Bilz, Stefan
- Sigrist, Sarah
- Brändle, Michael
- Henzen, Christoph
- Thomann, Robert
- Rutishauser, Jonas
- Aujesky, Drahomir
- Rodondi, Nicolas
- Donzé, Jacques
- Stanga, Zeno
- Mueller, Beat
- Schuetz, Philipp
- Venue
- Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 40
- Issue
- 5
- Pages
- 2762-2771
- ISSN
- 0261-5614 (ISSN-L)
- OpenAlex
- W3139527853
- Cited by
- 49
- References
- 7
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 14 · 2023: 9 · 2022: 10 · 2021: 5
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- ARBOR - Bern University of Applied Sciences Repository (submittedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion, cc-by-nc-nd)
- Funders
- Schweizerischer Nationalfonds
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Keywords
- chronic kidney disease, malnutrition, nutritional support, estimated glomerular filtration rate, 30-day mortality, medical inpatients, nutritional risk, creatinine
- MeSH terms
- Aged, Female, Glomerular Filtration Rate, Humans, Kidney, Male, Middle Aged, Nutrition Surveys, Nutritional Status, Risk Factors, Malnutrition, Renal Insufficiency, Chronic
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