Whole blood ratio of mRNA expression combined to lactate refines the prediction of ICU mortality in septic patients in the Sepsis-3 era: a proof-of-concept study.

Background: Transcriptomics biomarkers have been widely used to predict mortality in patients with sepsis. However, the association between mRNA levels and outcomes shows substantial variability over the course of sepsis, limiting their predictive performance. We aimed to: (a) identify and validate an mRNA biomarker signature whose association with all-cause intensive care unit (ICU) mortality is consistent at several timepoints; and (b) evaluate how this mRNA signature could be used in association with lactate levels for predictive and prognostic enrichment in sepsis.

Postoperative lymphopaenia as a risk factor for postoperative infections in cancer surgery: A prospective multicentre cohort study (the EVALYMPH study).

Background: Stress due to surgical trauma decreases postoperative lymphocyte counts (LCs), potentially favouring the occurrence of postoperative infections (PIs).

Objectives: We aimed to determine whether postoperative lymphopaenia following thoracic or gastrointestinal cancer surgery is an independent risk factor for PIs and to identify modifiable factors related to anaesthesia and surgical procedures that might affect its occurrence.

Study Design: The EVALYMPH study was a prospective, multicentre cohort study with a 30-day patient follow-up.

Shadows and lights in sepsis immunotherapy.

Introduction: Sepsis remains a major global public health challenge. The host's response in sepsis involves both an exaggerated inflammatory reaction and immunosuppressive mechanisms. A better understanding of this response has shed light on the failure of anti-inflammatory therapies administered under the 'one size fits all' approach during the last decades.

Integrated clustering of multiple immune marker trajectories reveals different immunotypes in severely injured patients.

Background: The immune response of critically ill patients, such as those with sepsis, severe trauma, or major surgery, is heterogeneous and dynamic, but its characterization and impact on outcomes are poorly understood. Until now, the primary challenge in advancing our understanding of the disease has been to concurrently address both multiparametric and temporal aspects.

Methods: We used a clustering method to identify distinct groups of patients, based on various immune marker trajectories during the first week after admission to ICU.