A Comparison of High and Usual Protein Dosing in Critically Ill Patients With Obesity: A Post Hoc Analysis of an International, Pragmatic, Single-Blinded, Randomized, Clinical Trial.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
06 Nov 2023
Historique:
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: aheadofprint

Résumé

Across guidelines, protein dosing for critically ill patients with obesity varies considerably. The objective of this analysis was to evaluate whether this population would benefit from higher doses of protein. A post hoc subgroup analysis of the effect of higher protein dosing in critically ill patients with high nutritional risk (EFFORT Protein): an international, multicenter, pragmatic, registry-based randomized trial. Eighty-five adult ICUs across 16 countries. Patients with obesity defined as a body mass index (BMI) greater than or equal to 30 kg/m2 (n = 425). In the primary study, patients were randomized into a high-dose (≥ 2.2 g/kg/d) or usual-dose protein group (≤ 1.2 g/kg/d). Protein intake was monitored for up to 28 days, and outcomes (time to discharge alive [TTDA], 60-d mortality, days of mechanical ventilation [MV], hospital, and ICU length of stay [LOS]) were recorded until 60 days post-randomization. Of the 1301 patients in the primary study, 425 had a BMI greater than or equal to 30 kg/m2. After adjusting for sites and covariates, we observed a nonsignificant slower rate of TTDA with higher protein that ruled out a clinically important benefit (hazard ratio, 0.78; 95% CI, 0.58-1.05; p = 0.10). We found no evidence of difference in TTDA between protein groups when subgroups with different classes of obesity or patients with and without various nutritional and frailty risk variables were examined, even after the removal of patients with baseline acute kidney injury. Overall, 60-day mortality rates were 31.5% and 28.2% in the high protein and usual protein groups, respectively (risk difference, 3.3%; 95% CI, -5.4 to 12.1; p = 0.46). Duration of MV and LOS in hospital and ICU were not significantly different between groups. In critically ill patients with obesity, higher protein doses did not improve clinical outcomes, including those with higher nutritional and frailty risk.

Identifiants

pubmed: 37930244
doi: 10.1097/CCM.0000000000006117
pii: 00003246-990000000-00230
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

Déclaration de conflit d'intérêts

Dr. Bear received funding from Baxter Healthcare (advisory board and speaker fees), Avanos (advisor board fees), and Cardinal Health (speaker fees). Dr. León received funding from B Braun Sharing Expertise. The remaining authors have disclosed that they do not have any potential conflicts of interest.

Références

Schetz M, De Jong A, Deane AM, et al.: Obesity in the critically ill: A narrative review. Intensive Care Med 2019; 45:757–769
Secombe P, Woodman R, Chan S, et al.: Epidemiology and outcomes of obese critically ill patients in Australia and New Zealand. Crit Care Resusc 2020; 22:35–44
Puthucheary ZA, Rawal J, McPhail M, et al.: Acute skeletal muscle wasting in critical illness. JAMA 2013; 310:1591–1600
Sharma K, Mogensen KM, Robinson MK: Pathophysiology of critical illness and role of nutrition. Nutr Clin Pract 2019; 34:12–22
Choban PS, Burge JC, Scales D, et al.: Hypoenergetic nutrition support in hospitalized obese patients: A simplified method for clinical application. Am J Clin Nutr 1997; 66:546–550
Dickerson RN, Boschert KJ, Kudsk KA, et al.: Hypocaloric enteral tube feeding in critically ill obese patients. Nutrition 2002; 18:241–246
Charles EJ, Kane WJ, Willcutts KF, et al.: Hypoenergetic feeding does not improve outcomes in critically ill patients with premorbid obesity: A post hoc analysis of a randomized controlled trial. Nutr Res 2020; 74:71–77
Dickerson RN, Patel JJ, McClain CJ: Protein and calorie requirements associated with the presence of obesity. Nutr Clin Pract 2017; 32:86S–93S
Singer P, Blaser AR, Berger MM, et al.: ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr 2019; 38:48–79
McClave SA, Taylor BE, Martindale RG, et al.; Society of Critical Care Medicine: 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 (ASPEN). JPEN J Parenter Enteral Nutr 2016; 40:159–211
Heyland DK, Patel J, Compher C, et al.: The effect of higher protein dosing in critically ill patients with high nutritional risk (EFFORT Protein): An international, multicentre, pragmatic, registry-based randomised trial. Lancet 2023; 401:568–576
Heyland DK, Patel J, Bear D, et al.: The effect of higher protein dosing in critically ill patients: A multicenter registry-based randomized trial: The EFFORT Trial. JPEN J Parenter Enteral Nutr 2019; 43:326–334
Weir CB, Jan A: BMI classification percentile and cut off points. In: StatPearls. Treasure Island, FL, StatPearls Publishing, 2023
Knaus WA, Draper EA, Wagner DP, et al.: APACHE II: A severity of disease classification system. Crit Care Med 1985; 13:818–829
Vincent JL, Moreno R, Takala J, et al.: The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure on behalf of the working group on sepsis-related problems of the European Society of Intensive Care Medicine. Intensive Care Med 1996; 22:707–710
Charlson ME, Pompei P, Ales KL, et al.: A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 1987; 40:373–383
Rahman A, Hasan RM, Agarwala R, et al.: Identifying critically-ill patients who will benefit most from nutritional therapy: Further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr 2016; 35:158–162
White JV, Guenter P, Jensen G, et al.; Academy Malnutrition Work Group: Consensus statement: Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition: Characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). JPEN J Parenter Enteral Nutr 2012; 36:275–283
Cederholm T, Jensen GL, Correia M, et al.: GLIM criteria for the diagnosis of malnutrition—a consensus report from the global clinical nutrition community. J Cachexia Sarcopenia Muscle 2019; 10:207–217
Rockwood K, Song X, MacKnight C, et al.: A global clinical measure of fitness and frailty in elderly people. CMAJ 2005; 173:489–495
Malmstrom TK, Morley JE: SARC-F: A simple questionnaire to rapidly diagnose sarcopenia. J Am Med Dir Assoc 2013; 14:531–532
Fine JP, Gray RJ: A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999; 94:496–509
Lee ZY, Yap CSL, Hasan MS, et al.: The effect of higher versus lower protein delivery in critically ill patients: A systematic review and meta-analysis of randomized controlled trials. Crit Care 2021; 25:260
Kawamoto R, Kusunoki T, Abe M, et al.: An association between body mass index and high-sensitivity C-reactive protein concentrations is influenced by age in community-dwelling persons. Ann Clin Biochem 2013; 50:457–464
McNeill JN, Lau ES, Paniagua SM, et al.: The role of obesity in inflammatory markers in COVID-19 patients. Obes Res Clin Pract 2021; 15:96–99
Garn SM, Leonard WR, Hawthorne VM: Three limitations of the body mass index. Am J Clin Nutr 1986; 44:996–997
Okorodudu DO, Jumean MF, Montori VM, et al.: Diagnostic performance of body mass index to identify obesity as defined by body adiposity: A systematic review and meta-analysis. Int J Obes (Lond) 2010; 34:791–799
Mundi MS, Patel JJ, Martindale R: Body composition technology: Implications for the ICU. Nutr Clin Pract 2019; 34:48–58
McKendry J, Thomas ACQ, Phillips SM: Muscle mass loss in the older critically ill population: Potential therapeutic strategies. Nutr Clin Pract 2020; 35:607–616
Tieland M, van Dronkelaar C, Boirie Y: Sarcopenic obesity in the ICU. Curr Opin Clin Nutr Metab Care 2019; 22:162–166
Baumgartner A, Olpe T, Griot S, et al.: Association of CT-based diagnosis of sarcopenia with prognosis and treatment response in patients at risk of malnutrition—a secondary analysis of the Effect of early nutritional support on Frailty, Functional Outcomes, and Recovery of malnourished medical inpatients Trial (EFFORT) trial. Clin Nutr 2023; 42:199–207

Auteurs

Lauren E Tweel (LE)

Clinical and Preventive Nutrition Sciences, Rutgers University, School of Health Professions, New Brunswick, NJ.
Clinical Nutrition, Foothills Medical Centre, Alberta Health Services, Calgary, AB, Canada.

Charlene Compher (C)

Department of Biobehavioral Health Science, University of Pennsylvania, School of Nursing, Philadelphia, PA.

Danielle E Bear (DE)

Department of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Pedro Gutierrez-Castrellon (P)

Department of Biomedical Research, Center for Translational Research, Hospital GEA, Mexico City, Mexico.

Susannah K Leaver (SK)

Department of Critical Care Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Kristen MacEachern (K)

Departments of Critical Care and Clinical Nutrition, Mount Sinai Hospital, Toronto, ON, Canada.

Luis Ortiz-Reyes (L)

Clinical Evaluation Research Unit, Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.

Lakhani Pooja (L)

Department of Dietetics, Apollo Hospitals Enterprises Ltd, Navi Mumbai, Mumbai, India.

Angélica León (A)

Department of Clinical Nutrition, Hospital General Dr. Manuel Gea González, Mexico City, Mexico.

Courtney Wedemire (C)

Department of Dietitian Services, Abbotsford Regional Hospital, Abbotsford, BC, Canada.

Zheng Yii Lee (ZY)

Department of Anaesthesiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.

Andrew G Day (AG)

Kingston Health Science Centre Research Institute, Kingston, ON, Canada.

Daren K Heyland (DK)

Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.

Classifications MeSH