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Infection in the intensive care unit alters physiological networks

BACKGROUND: Physicians use clinical and physiological data to treat patients every day, and it is essential for treating a patient appropriately. However, medical sources of clinical physiological data are only now starting to find use in bioinformatics research. RESULTS: We collected 29 types of ph...

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Detalles Bibliográficos
Autores principales: Grossman, Adam D, Cohen, Mitchell J, Manley, Geoffrey T, Butte, Atul J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745691/
https://www.ncbi.nlm.nih.gov/pubmed/19761574
http://dx.doi.org/10.1186/1471-2105-10-S9-S4
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author Grossman, Adam D
Cohen, Mitchell J
Manley, Geoffrey T
Butte, Atul J
author_facet Grossman, Adam D
Cohen, Mitchell J
Manley, Geoffrey T
Butte, Atul J
author_sort Grossman, Adam D
collection PubMed
description BACKGROUND: Physicians use clinical and physiological data to treat patients every day, and it is essential for treating a patient appropriately. However, medical sources of clinical physiological data are only now starting to find use in bioinformatics research. RESULTS: We collected 29 types of physiological and clinical data on a minute-by-minute basis from trauma patients in the intensive care unit along with whether they contracted an infection during their stay. Dividing the patients into two groups based on this criterion, we determined that the correlational network amongst pairs of physiological variables changes based on whether the patient contracted an infection. CONCLUSION: Examining the variable pairs with the largest change in correlation across groups reveals potential changes in the way our treatments affect the patient's physiology and in how our bodies react to physiological insults. These findings highlight the usefulness of physiological informatics and suggest new relationships to study while also validating previously reported relationships.
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spelling pubmed-27456912009-09-18 Infection in the intensive care unit alters physiological networks Grossman, Adam D Cohen, Mitchell J Manley, Geoffrey T Butte, Atul J BMC Bioinformatics Proceedings BACKGROUND: Physicians use clinical and physiological data to treat patients every day, and it is essential for treating a patient appropriately. However, medical sources of clinical physiological data are only now starting to find use in bioinformatics research. RESULTS: We collected 29 types of physiological and clinical data on a minute-by-minute basis from trauma patients in the intensive care unit along with whether they contracted an infection during their stay. Dividing the patients into two groups based on this criterion, we determined that the correlational network amongst pairs of physiological variables changes based on whether the patient contracted an infection. CONCLUSION: Examining the variable pairs with the largest change in correlation across groups reveals potential changes in the way our treatments affect the patient's physiology and in how our bodies react to physiological insults. These findings highlight the usefulness of physiological informatics and suggest new relationships to study while also validating previously reported relationships. BioMed Central 2009-09-17 /pmc/articles/PMC2745691/ /pubmed/19761574 http://dx.doi.org/10.1186/1471-2105-10-S9-S4 Text en Copyright © 2009 Grossman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Grossman, Adam D
Cohen, Mitchell J
Manley, Geoffrey T
Butte, Atul J
Infection in the intensive care unit alters physiological networks
title Infection in the intensive care unit alters physiological networks
title_full Infection in the intensive care unit alters physiological networks
title_fullStr Infection in the intensive care unit alters physiological networks
title_full_unstemmed Infection in the intensive care unit alters physiological networks
title_short Infection in the intensive care unit alters physiological networks
title_sort infection in the intensive care unit alters physiological networks
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745691/
https://www.ncbi.nlm.nih.gov/pubmed/19761574
http://dx.doi.org/10.1186/1471-2105-10-S9-S4
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