Gene Expression Patterns Distinguish Mortality Risk in Patients with Postsurgical Shock.

ABSTRACT: Nowadays, mortality rates in intensive care units are the highest of all hospital units. However, there is not a reliable prognostic system to predict the likelihood of death in patients with postsurgical shock. Thus, the aim of the present work is to obtain a gene expression signature to distinguish the low and high risk of death in postsurgical shock patients. In this sense, mRNA levels were evaluated by microarray on a discovery cohort to select the most differentially expressed genes between surviving and non-surviving groups 30 days after the operation. Selected genes were evaluated by quantitative real-time polymerase chain reaction (qPCR) in a validation cohort to validate the reliability of data. A receiver-operating characteristic analysis with the area under the curve was perform

SUBMITTER: Martinez-Paz P 

PROVIDER: S-EPMC7287660 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature