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Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae

BACKGROUND: We aimed to examine the predictive value of a novel mathematical formula based on the law of conservation of mass in calculating sodium changes in intensive care unit patients and compare its performance with previously published formulae. METHODS: 178 patients were enrolled from 01/2010...

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Autores principales: Katsiampoura, Anastasia, Toumpanakis, Dimitrios, Konsta, Konstantina, Varkaris, Andreas, Vassilakopoulos, Theodoros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261024/
https://www.ncbi.nlm.nih.gov/pubmed/30475894
http://dx.doi.org/10.1371/journal.pone.0207603
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author Katsiampoura, Anastasia
Toumpanakis, Dimitrios
Konsta, Konstantina
Varkaris, Andreas
Vassilakopoulos, Theodoros
author_facet Katsiampoura, Anastasia
Toumpanakis, Dimitrios
Konsta, Konstantina
Varkaris, Andreas
Vassilakopoulos, Theodoros
author_sort Katsiampoura, Anastasia
collection PubMed
description BACKGROUND: We aimed to examine the predictive value of a novel mathematical formula based on the law of conservation of mass in calculating sodium changes in intensive care unit patients and compare its performance with previously published formulae. METHODS: 178 patients were enrolled from 01/2010 to 10/2013. Plasma and urine were collected in two consecutive 8-hour intervals and the sodium was measured. The predicted sodium concentration was calculated based on previous equations and our formula. The two 8-hour period (epoch 1 and 2) results were compared. Variability of predicted values among the measured range of serum sodium levels were provided by Bland-Altman plots with bias and precision statistics. Comparison of the results was performed with the statistical model of the Percentage Similarity. RESULTS: 47.19% patients had dysnatremias. The bias ± SD with 95% limits of agreement for sodium levels were -1.395±3.491 for epoch 1 and -1.623 ±11.1 for epoch 2 period. Bland-Altman analysis for the epoch 1 study period had the following results: -0.8079±3.447 for Adrogué–Madias, 0.56±9.687 for Barsoum–Levine, 0.1412±3.824 for EFWC and 0.294±4.789 for Kurtz–Nguyen formula. The mean similarity, SD and coefficient variation for the methods compared with the measured sodium are: 99.56%, 3.873, 3.89% epoch 1, 99.56%, 1.255, 1.26% for epoch 2, 99.77%, 1.245, 1.26% for Adrogue-Madias, 100.1%, 1.337, 1.34% for Barsoum-Levine, 100.1%, 1.704, 1.7% for Nguyen, 100.1%, 1.370, 1.37% for ECFW formula. CONCLUSIONS: The law of conservation of mass can be successfully applied for the prediction of sodium changes in critically ill patients.
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spelling pubmed-62610242018-12-06 Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae Katsiampoura, Anastasia Toumpanakis, Dimitrios Konsta, Konstantina Varkaris, Andreas Vassilakopoulos, Theodoros PLoS One Research Article BACKGROUND: We aimed to examine the predictive value of a novel mathematical formula based on the law of conservation of mass in calculating sodium changes in intensive care unit patients and compare its performance with previously published formulae. METHODS: 178 patients were enrolled from 01/2010 to 10/2013. Plasma and urine were collected in two consecutive 8-hour intervals and the sodium was measured. The predicted sodium concentration was calculated based on previous equations and our formula. The two 8-hour period (epoch 1 and 2) results were compared. Variability of predicted values among the measured range of serum sodium levels were provided by Bland-Altman plots with bias and precision statistics. Comparison of the results was performed with the statistical model of the Percentage Similarity. RESULTS: 47.19% patients had dysnatremias. The bias ± SD with 95% limits of agreement for sodium levels were -1.395±3.491 for epoch 1 and -1.623 ±11.1 for epoch 2 period. Bland-Altman analysis for the epoch 1 study period had the following results: -0.8079±3.447 for Adrogué–Madias, 0.56±9.687 for Barsoum–Levine, 0.1412±3.824 for EFWC and 0.294±4.789 for Kurtz–Nguyen formula. The mean similarity, SD and coefficient variation for the methods compared with the measured sodium are: 99.56%, 3.873, 3.89% epoch 1, 99.56%, 1.255, 1.26% for epoch 2, 99.77%, 1.245, 1.26% for Adrogue-Madias, 100.1%, 1.337, 1.34% for Barsoum-Levine, 100.1%, 1.704, 1.7% for Nguyen, 100.1%, 1.370, 1.37% for ECFW formula. CONCLUSIONS: The law of conservation of mass can be successfully applied for the prediction of sodium changes in critically ill patients. Public Library of Science 2018-11-26 /pmc/articles/PMC6261024/ /pubmed/30475894 http://dx.doi.org/10.1371/journal.pone.0207603 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Katsiampoura, Anastasia
Toumpanakis, Dimitrios
Konsta, Konstantina
Varkaris, Andreas
Vassilakopoulos, Theodoros
Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title_full Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title_fullStr Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title_full_unstemmed Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title_short Prediction of dysnatremias in critically ill patients based on the law of conservation of mass. Comparison of existing formulae
title_sort prediction of dysnatremias in critically ill patients based on the law of conservation of mass. comparison of existing formulae
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261024/
https://www.ncbi.nlm.nih.gov/pubmed/30475894
http://dx.doi.org/10.1371/journal.pone.0207603
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