Metabolite analysis in sepsis through conditional independence maps

Vicent Ribas Ripoll, Eduardo Romay, Laura Brunelli, Roberta Pastorelli, Gemma Gomà, Ana Navas, Antoni Artigas, Ricard Ferrer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sepsis is the response of the host to an infection that produces lesions in its own organs and tissues. Despite the great advances in modern medicine, including vaccines, antibiotics and intensive care, it is still the primary cause of death due to infection. Sepsis may result in shock, multi-organic failure and death unless there is a rapid identification of the infection and timely administration of treatment. Its mortality rates can reach up to 45.7% for septic shock, its most acute manifestation. In this paper we also present these conditional independence maps in the context of algebraic statistics. The results of this analysis over a small cohort of nine patients at three different times (ICU admission, 48h and ICU discharge) showed that there is a significant interaction between C3- DC / C4-OH (Hydroxybutyrylcarnitine) and C5 (Valerylcarnitin) for the three time snapshots. We also found a significant interaction between C3-DC / C4-OH (Hydroxybutyrylcarnitine) and C5 (Valerylcarnitine) and Isoleucine (Ile) at 48h and ICU discharge.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6477-6480
Number of pages4
Volume2015-November
ISBN (Print)9781424492718
DOIs
Publication statusPublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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