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Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models
BACKGROUND: Proteins are an essential part of medical nutrition therapy in critically ill patients. Guidelines almost universally recommend a high protein intake without robust evidence supporting its use. METHODS: Using a large international database, we modelled associations between the hazard rat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751086/ https://www.ncbi.nlm.nih.gov/pubmed/35012618 http://dx.doi.org/10.1186/s13054-021-03870-5 |
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author | Hartl, Wolfgang H. Kopper, Philipp Bender, Andreas Scheipl, Fabian Day, Andrew G. Elke, Gunnar Küchenhoff, Helmut |
author_facet | Hartl, Wolfgang H. Kopper, Philipp Bender, Andreas Scheipl, Fabian Day, Andrew G. Elke, Gunnar Küchenhoff, Helmut |
author_sort | Hartl, Wolfgang H. |
collection | PubMed |
description | BACKGROUND: Proteins are an essential part of medical nutrition therapy in critically ill patients. Guidelines almost universally recommend a high protein intake without robust evidence supporting its use. METHODS: Using a large international database, we modelled associations between the hazard rate of in-hospital death and live hospital discharge (competing risks) and three categories of protein intake (low: < 0.8 g/kg per day, standard: 0.8–1.2 g/kg per day, high: > 1.2 g/kg per day) during the first 11 days after ICU admission (acute phase). Time-varying cause-specific hazard ratios (HR) were calculated from piece-wise exponential additive mixed models. We used the estimated model to compare five different hypothetical protein diets (an exclusively low protein diet, a standard protein diet administered early (day 1 to 4) or late (day 5 to 11) after ICU admission, and an early or late high protein diet). RESULTS: Of 21,100 critically ill patients in the database, 16,489 fulfilled inclusion criteria for the analysis. By day 60, 11,360 (68.9%) patients had been discharged from hospital, 4,192 patients (25.4%) had died in hospital, and 937 patients (5.7%) were still hospitalized. Median daily low protein intake was 0.49 g/kg [IQR 0.27–0.66], standard intake 0.99 g/kg [IQR 0.89– 1.09], and high intake 1.41 g/kg [IQR 1.29–1.60]. In comparison with an exclusively low protein diet, a late standard protein diet was associated with a lower hazard of in-hospital death: minimum 0.75 (95% CI 0.64, 0.87), and a higher hazard of live hospital discharge: maximum HR 1.98 (95% CI 1.72, 2.28). Results on hospital discharge, however, were qualitatively changed by a sensitivity analysis. There was no evidence that an early standard or a high protein intake during the acute phase was associated with a further improvement of outcome. CONCLUSIONS: Provision of a standard protein intake during the late acute phase may improve outcome compared to an exclusively low protein diet. In unselected critically ill patients, clinical outcome may not be improved by a high protein intake during the acute phase. Study registration ID number ISRCTN17829198 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03870-5. |
format | Online Article Text |
id | pubmed-8751086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87510862022-01-11 Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models Hartl, Wolfgang H. Kopper, Philipp Bender, Andreas Scheipl, Fabian Day, Andrew G. Elke, Gunnar Küchenhoff, Helmut Crit Care Research BACKGROUND: Proteins are an essential part of medical nutrition therapy in critically ill patients. Guidelines almost universally recommend a high protein intake without robust evidence supporting its use. METHODS: Using a large international database, we modelled associations between the hazard rate of in-hospital death and live hospital discharge (competing risks) and three categories of protein intake (low: < 0.8 g/kg per day, standard: 0.8–1.2 g/kg per day, high: > 1.2 g/kg per day) during the first 11 days after ICU admission (acute phase). Time-varying cause-specific hazard ratios (HR) were calculated from piece-wise exponential additive mixed models. We used the estimated model to compare five different hypothetical protein diets (an exclusively low protein diet, a standard protein diet administered early (day 1 to 4) or late (day 5 to 11) after ICU admission, and an early or late high protein diet). RESULTS: Of 21,100 critically ill patients in the database, 16,489 fulfilled inclusion criteria for the analysis. By day 60, 11,360 (68.9%) patients had been discharged from hospital, 4,192 patients (25.4%) had died in hospital, and 937 patients (5.7%) were still hospitalized. Median daily low protein intake was 0.49 g/kg [IQR 0.27–0.66], standard intake 0.99 g/kg [IQR 0.89– 1.09], and high intake 1.41 g/kg [IQR 1.29–1.60]. In comparison with an exclusively low protein diet, a late standard protein diet was associated with a lower hazard of in-hospital death: minimum 0.75 (95% CI 0.64, 0.87), and a higher hazard of live hospital discharge: maximum HR 1.98 (95% CI 1.72, 2.28). Results on hospital discharge, however, were qualitatively changed by a sensitivity analysis. There was no evidence that an early standard or a high protein intake during the acute phase was associated with a further improvement of outcome. CONCLUSIONS: Provision of a standard protein intake during the late acute phase may improve outcome compared to an exclusively low protein diet. In unselected critically ill patients, clinical outcome may not be improved by a high protein intake during the acute phase. Study registration ID number ISRCTN17829198 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03870-5. BioMed Central 2022-01-11 /pmc/articles/PMC8751086/ /pubmed/35012618 http://dx.doi.org/10.1186/s13054-021-03870-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hartl, Wolfgang H. Kopper, Philipp Bender, Andreas Scheipl, Fabian Day, Andrew G. Elke, Gunnar Küchenhoff, Helmut Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title | Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title_full | Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title_fullStr | Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title_full_unstemmed | Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title_short | Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
title_sort | protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751086/ https://www.ncbi.nlm.nih.gov/pubmed/35012618 http://dx.doi.org/10.1186/s13054-021-03870-5 |
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