Publications by authors named "V M Laurent"
Early systemic insults following severe sepsis-associated encephalopathy of critically ill patients: association with mortality and awakening-an analysis of the OUTCOMEREA database.
J Intensive Care
January 2025
Background: Sepsis-associated encephalopathy (SAE) may be worsened by early systemic insults. We aimed to investigate the association of early systemic insults with outcomes of critically ill patients with severe SAE.
Methods: We performed a retrospective analysis using data from the French OUTCOMEREA prospective multicenter database.
Objectives: This study compared the characteristics of lesions suspicious for hepatocellular carcinoma (HCC) and their LI-RADS classifications in adaptive statistical iterative reconstruction (ASIR) and deep learning reconstruction (DLR) to those of MR images, along with radiologist confidence.
Materials And Methods: This prospective single-center trial included patients who underwent four-phase liver CT and multiphasic contrast-enhanced MRI within 7 days from February to August 2023. The lesion characteristics, LI-RADS classifications and confidence scores according to two radiologists on the ASIR, DLR and MRI techniques were compared.
Article Synopsis
- Specific Pavlovian-instrumental transfer (PIT) refers to how a stimulus indicating a food reward can influence actions that lead to that reward, but understanding how this selection process works is still unclear.
- Experiments revealed that an instrumental degradation treatment, which aimed to disrupt response-outcome (R-O) associations, did not eliminate specific PIT expression, and the sensitivity to outcome devaluation persisted, indicating resistance of R-O associations to degradation.
- However, when using different experimental designs, researchers found that while specific PIT remained intact after instrumental degradation, the lack of outcome-devaluation sensitivity suggested that the treatment effectively weakened R-O associations, altering the expected outcomes based on the actions.
Article Synopsis
- The 2023 SFR data challenge aimed to encourage researchers to create AI models for detecting pancreatic masses and determining if they are benign or malignant using abdominal CT scans.
- A total of 1,037 CT examinations were gathered from 18 French centers, organized into training and evaluation sets, with teams composed of radiologists, data scientists, and engineers participating in the analysis.
- The challenge involved 10 teams and showed promising results, with AI demonstrating potential in identifying pancreatic lesions from real data, although distinguishing between benign and malignant masses remains challenging.
Purpose: This study aimed to evaluate the impact on subsequent infections and mortality of an adequate antimicrobial therapy within 48 h after catheter removal in intensive care unit (ICU) patients with positive catheter tip culture.
Methods: We performed a retrospective analysis of prospectively collected data from 29 centers of the OUTCOMEREA network. We developed a propensity score (PS) for adequate antimicrobial treatment, based on expert opinion of 45 attending physicians.