Publications by authors named "J H MOYER"
Background: Indications for Veno-venous (VV) or veno-arterial (VA) extracorporeal membrane oxygenation (ECMO) after trauma rely on poor evidence. The main aims were to describe the population of trauma patients requiring either VV or VA ECMO and report their clinical management and outcomes.
Methods: An observational multicentre retrospective study was conducted in 17 Level 1 trauma centres in France between January 2010 and December 2021.
Article Synopsis
- Understanding future dynamics in human and natural development is crucial for creating effective policies to tackle global challenges.
- A protocol is provided for integrating external data into the International Futures (IFs) model, focusing on key variables like socioeconomic pathways.
- The protocol includes steps for installing necessary software, importing data, running the model, and extracting results, with more detailed guidance available in Moyer's work.
Overcoming resistance to therapy is a major challenge in castration-resistant prostate cancer (CRPC). Lineage plasticity towards a neuroendocrine phenotype enables CRPC to adapt and survive targeted therapies. However, the molecular mechanisms of epigenetic reprogramming during this process are still poorly understood.
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- Global urbanization is increasing exposure to traffic-related air pollution (TRAP), which is linked to negative health effects, especially in individuals with cardiovascular disease (CVD).
- This study examined the relationship between living near major roadways and all-cause mortality in three cohorts: a general hospital population, individuals with prior heart attacks, and those with heart failure (HF).
- Findings indicated that individuals with HF had the highest mortality risks associated with proximity to major roadways, underscoring the need to consider CVD status when evaluating health risks from air pollution.
Importance: Decision-making in trauma patients remains challenging and often results in deviation from guidelines. Machine-Learning (ML) enhanced decision-support could improve hemorrhage resuscitation.
Aim: To develop a ML enhanced decision support tool to predict Need for Hemorrhage Resuscitation (NHR) (part I) and test the collection of the predictor variables in real time in a smartphone app (part II).