Predicting the prognosis in patients with sepsis by an endoplasmic reticulum stress gene signature.

ABSTRACT:

Background

Prognostic stratification of patients with sepsis is important for the development of individualized treatment strategies. Endoplasmic reticulum stress (ERS) plays a key role in sepsis. This study aimed to identify a set of genes related to ER stress to construct a predictive model for the prognosis of sepsis.

Methods

The transcriptomic and clinical data of 479 sepsis patients were obtained from GSE65682 and divided into a training set (n=288) and a validation set (n=191) at a ratio of 3:2. The external test set was GSE95233 (n=51). LASSO and Cox regression analyses were performed to establish a signature to predict the prognosis of patients with sepsis. Moreover, we developed a nomogram that included the risk signature and clinical features to predict survival pr

SUBMITTER: Liu J 

PROVIDER: S-EPMC10713427 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature