Mortality risk score in postsurgical patients based on gene expression

Nowadays, there are different ICU scoring systems to predict the likelihood of mortality, such as Acute Physiology And Chronic Health Condition (APACHE), Sequential Organ Failure Assessment (SOFA), and SAPS (Simplified Acute Physiology Score). Theses risk scores are based on the use of physiologic and other clinical data. However, the use of these score systems depend on the clinical trust in the reliability and predictions by physicians. In this work, we have evaluated the expression profile by microarray analysis from postsurgical patients with the aim of proposing a candidate set genes as a mortality risk score. Microarray analysis was performed to compare the gene expression profiles from patients who will not die and who will die before 90 days from surgery. After, a set of six upregulated genes were evaluated by real time PCR as a validation platform to verify the potential of these genes as score system.