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Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients
BACKGROUND/OBJECTIVES: A low bioelectrical impedance analysis (BIA)-derived phase angle (PA) predicts morbidity and mortality in different patient groups. An association between PA and long-term mortality in ICU patients has not been demonstrated before. The purpose of the present study was to deter...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035150/ https://www.ncbi.nlm.nih.gov/pubmed/29748659 http://dx.doi.org/10.1038/s41430-018-0167-1 |
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author | Stapel, Sandra N. Looijaard, Wilhelmus G. P. M. Dekker, Ingeborg M. Girbes, Armand R. J. Weijs, Peter J. M. Oudemans-van Straaten, Heleen M |
author_facet | Stapel, Sandra N. Looijaard, Wilhelmus G. P. M. Dekker, Ingeborg M. Girbes, Armand R. J. Weijs, Peter J. M. Oudemans-van Straaten, Heleen M |
author_sort | Stapel, Sandra N. |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: A low bioelectrical impedance analysis (BIA)-derived phase angle (PA) predicts morbidity and mortality in different patient groups. An association between PA and long-term mortality in ICU patients has not been demonstrated before. The purpose of the present study was to determine whether PA on ICU admission independently predicts 90-day mortality. SUBJECTS/ METHODS: This prospective observational study was performed in a mixed university ICU. BIA was performed in 196 patients within 24 h of ICU admission. To test the independent association between PA and 90-day mortality, logistic regression analysis was performed using the APACHE IV predicted mortality as confounder. The optimal cutoff value of PA for mortality prediction was determined by ROC curve analysis. Using this cutoff value, patients were categorized into low or normal PA group and the association with 90-day mortality was tested again. RESULTS: The PA of survivors was higher than of the non-survivors (5.0° ± 1.3° vs. 4.1° ± 1.2°, p < 0.001). The area under the ROC curve of PA for 90-day mortality was 0.70 (CI 0.59–0.80). PA was associated with 90-day mortality (OR = 0.56, CI: 0.38–0.77, p = 0.001) on univariate logistic regression analysis and also after adjusting for BMI, gender, age, and APACHE IV on multivariable logistic regression (OR = 0.65, CI: 0.44–0.96, p = 0.031). A PA < 4.8° was an independent predictor of 90-day mortality (adjusted OR = 3.65, CI: 1.34–9.93, p = 0.011). CONCLUSIONS: Phase angle at ICU admission is an independent predictor of 90-day mortality. This biological marker can aid in long-term mortality risk assessment of critically ill patients. |
format | Online Article Text |
id | pubmed-6035150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60351502018-07-09 Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients Stapel, Sandra N. Looijaard, Wilhelmus G. P. M. Dekker, Ingeborg M. Girbes, Armand R. J. Weijs, Peter J. M. Oudemans-van Straaten, Heleen M Eur J Clin Nutr Article BACKGROUND/OBJECTIVES: A low bioelectrical impedance analysis (BIA)-derived phase angle (PA) predicts morbidity and mortality in different patient groups. An association between PA and long-term mortality in ICU patients has not been demonstrated before. The purpose of the present study was to determine whether PA on ICU admission independently predicts 90-day mortality. SUBJECTS/ METHODS: This prospective observational study was performed in a mixed university ICU. BIA was performed in 196 patients within 24 h of ICU admission. To test the independent association between PA and 90-day mortality, logistic regression analysis was performed using the APACHE IV predicted mortality as confounder. The optimal cutoff value of PA for mortality prediction was determined by ROC curve analysis. Using this cutoff value, patients were categorized into low or normal PA group and the association with 90-day mortality was tested again. RESULTS: The PA of survivors was higher than of the non-survivors (5.0° ± 1.3° vs. 4.1° ± 1.2°, p < 0.001). The area under the ROC curve of PA for 90-day mortality was 0.70 (CI 0.59–0.80). PA was associated with 90-day mortality (OR = 0.56, CI: 0.38–0.77, p = 0.001) on univariate logistic regression analysis and also after adjusting for BMI, gender, age, and APACHE IV on multivariable logistic regression (OR = 0.65, CI: 0.44–0.96, p = 0.031). A PA < 4.8° was an independent predictor of 90-day mortality (adjusted OR = 3.65, CI: 1.34–9.93, p = 0.011). CONCLUSIONS: Phase angle at ICU admission is an independent predictor of 90-day mortality. This biological marker can aid in long-term mortality risk assessment of critically ill patients. Nature Publishing Group UK 2018-05-11 2018 /pmc/articles/PMC6035150/ /pubmed/29748659 http://dx.doi.org/10.1038/s41430-018-0167-1 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Stapel, Sandra N. Looijaard, Wilhelmus G. P. M. Dekker, Ingeborg M. Girbes, Armand R. J. Weijs, Peter J. M. Oudemans-van Straaten, Heleen M Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title | Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title_full | Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title_fullStr | Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title_full_unstemmed | Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title_short | Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
title_sort | bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035150/ https://www.ncbi.nlm.nih.gov/pubmed/29748659 http://dx.doi.org/10.1038/s41430-018-0167-1 |
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