On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins

  • Vicent J. Ribas
  • Jesús Caballero López
  • Anna Sáez de Tejada
  • Juan Carlos Ruiz-Rodríguez
  • Adolfo Ruiz-Sanmartín
  • Jordi Rello
  • Alfredo Vellido
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7548)

Abstract

Sepsis is a common pathology in Intensive Care Units (ICU). At its most acute phase, namely septic shock, mortality rates can be as high as 60%. Early administration of antibiotics is known to be crucial for ICU outcomes. In particular, statins, a class of drug usually associated to the regulation of the biosynthesis of cholesterol, have been shown to present good anti-inflammatory properties. In this brief study, we hypothesized that the pre-admission use of statins should improve ICU outcomes, reducing the mortality rate. We tested this hypothesis in a prospective study with patients admitted with severe sepsis and multi-organ failure at the ICU of Vall d’Hebrón University Hospital (Barcelona, Spain). Outcome was predicted using statistic algebraic models and the Bayesian Networks that can naturally be derived from these models.

Keywords

Sepsis intensive care unit outcome prediction statistic algebraic models Bayesian Networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vicent J. Ribas
    • 1
  • Jesús Caballero López
    • 2
  • Anna Sáez de Tejada
    • 3
  • Juan Carlos Ruiz-Rodríguez
    • 2
  • Adolfo Ruiz-Sanmartín
    • 2
  • Jordi Rello
    • 4
  • Alfredo Vellido
    • 1
  1. 1.Dept. Llenguatges i Sistemes InformàticsUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Servei de Medicina Intensiva, SODIR Research GroupHospital Universitari Vall d’Hebrón, Vall d’Hebrón Institut de Recerca Autonomous University of BarcelonaBarcelonaSpain
  3. 3.Llenguatges i Sistemes InformàticsSabirmedical S.L. BarcelonaSpain
  4. 4.Servei de Medicina Invensiva, CRIPS Research Group, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)Hospital Universitari Vall d’Hebrón, Autonomous University of BarcelonaBarcelonaSpain

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