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Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate

The optimal nutritional support in Acute Kidney Injury (AKI) still remains an open issue. The present study was aimed at evaluating the validity of conventional predictive formulas for the calculation of both energy expenditure and protein needs in critically ill patients with AKI. A prospective, mu...

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Autores principales: Sabatino, Alice, Theilla, Miriam, Hellerman, Moran, Singer, Pierre, Maggiore, Umberto, Barbagallo, Maria, Regolisti, Giuseppe, Fiaccadori, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579596/
https://www.ncbi.nlm.nih.gov/pubmed/28933744
http://dx.doi.org/10.3390/nu9080802
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author Sabatino, Alice
Theilla, Miriam
Hellerman, Moran
Singer, Pierre
Maggiore, Umberto
Barbagallo, Maria
Regolisti, Giuseppe
Fiaccadori, Enrico
author_facet Sabatino, Alice
Theilla, Miriam
Hellerman, Moran
Singer, Pierre
Maggiore, Umberto
Barbagallo, Maria
Regolisti, Giuseppe
Fiaccadori, Enrico
author_sort Sabatino, Alice
collection PubMed
description The optimal nutritional support in Acute Kidney Injury (AKI) still remains an open issue. The present study was aimed at evaluating the validity of conventional predictive formulas for the calculation of both energy expenditure and protein needs in critically ill patients with AKI. A prospective, multicenter, observational study was conducted on adult patients hospitalized with AKI in three different intensive care units (ICU). Nutrient needs were estimated by different methods: the Guidelines of the European Society of Parenteral and Enteral Nutrition (ESPEN) for both calories and proteins, the Harris-Benedict equation, the Penn-State and Faisy-Fagon equations for energy. Actual energy and protein needs were repeatedly measured by indirect calorimetry (IC) and protein catabolic rate (PCR) until oral nutrition start, hospital discharge or renal function recovery. Forty-two patients with AKI were enrolled, with 130 IC and 123 PCR measurements obtained over 654 days of artificial nutrition. No predictive formula was precise enough, and Bland-Altman plots wide limits of agreement for all equations highlight the potential to under- or overfeed individual patients. Conventional predictive formulas may frequently lead to incorrect energy and protein need estimation. In critically ill patients with AKI an increased risk for under- or overfeeding is likely when nutrient needs are estimated instead of measured.
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spelling pubmed-55795962017-09-06 Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate Sabatino, Alice Theilla, Miriam Hellerman, Moran Singer, Pierre Maggiore, Umberto Barbagallo, Maria Regolisti, Giuseppe Fiaccadori, Enrico Nutrients Article The optimal nutritional support in Acute Kidney Injury (AKI) still remains an open issue. The present study was aimed at evaluating the validity of conventional predictive formulas for the calculation of both energy expenditure and protein needs in critically ill patients with AKI. A prospective, multicenter, observational study was conducted on adult patients hospitalized with AKI in three different intensive care units (ICU). Nutrient needs were estimated by different methods: the Guidelines of the European Society of Parenteral and Enteral Nutrition (ESPEN) for both calories and proteins, the Harris-Benedict equation, the Penn-State and Faisy-Fagon equations for energy. Actual energy and protein needs were repeatedly measured by indirect calorimetry (IC) and protein catabolic rate (PCR) until oral nutrition start, hospital discharge or renal function recovery. Forty-two patients with AKI were enrolled, with 130 IC and 123 PCR measurements obtained over 654 days of artificial nutrition. No predictive formula was precise enough, and Bland-Altman plots wide limits of agreement for all equations highlight the potential to under- or overfeed individual patients. Conventional predictive formulas may frequently lead to incorrect energy and protein need estimation. In critically ill patients with AKI an increased risk for under- or overfeeding is likely when nutrient needs are estimated instead of measured. MDPI 2017-07-26 /pmc/articles/PMC5579596/ /pubmed/28933744 http://dx.doi.org/10.3390/nu9080802 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sabatino, Alice
Theilla, Miriam
Hellerman, Moran
Singer, Pierre
Maggiore, Umberto
Barbagallo, Maria
Regolisti, Giuseppe
Fiaccadori, Enrico
Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title_full Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title_fullStr Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title_full_unstemmed Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title_short Energy and Protein in Critically Ill Patients with AKI: A Prospective, Multicenter Observational Study Using Indirect Calorimetry and Protein Catabolic Rate
title_sort energy and protein in critically ill patients with aki: a prospective, multicenter observational study using indirect calorimetry and protein catabolic rate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579596/
https://www.ncbi.nlm.nih.gov/pubmed/28933744
http://dx.doi.org/10.3390/nu9080802
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