Publications by authors named "N Deye"
Introduction: The high incidence of morbidity and mortality associated with the post-cardiac arrest (CA) period highlights the need for novel therapeutic interventions to improve the outcome of out-of-hospital cardiac arrest (OHCA) patients admitted to the intensive care unit (ICU). The aim of this study is to assess the ability of high-dose intravenous vitamin C (Vit-C) to improve post-CA shock.
Methods And Analysis: This is a single-blind, open-label, multicentre, randomised controlled trial, involving 234 OHCA patients with post-CA shock planned to be enrolled in 10 French ICUs.
Background: Recent guidelines for post-cardiac arrest (CA) management have undergone significant changes regarding targeted therapeutic management (TTM), transitioning from hypothermia to temperature control. We aimed to assess changes in post-CA management in French intensive care units following the new recommendations.
Methods: Two declarative web surveys were conducted from March to August 2023.
Article Synopsis
- The study aimed to evaluate the effectiveness of the 2021 ERC/ESICM algorithm in predicting neurological outcomes for cardiac arrest survivors in intensive care.
- A total of 337 patients were examined, with the algorithm successfully identifying all 175 patients predicted to have poor neurological outcomes and showing high specificity for various predictive tools like EEG and clinical examination.
- For patients with uncertain outcomes, favorable indicators could help predict positive recovery, providing valuable guidance in prognosis and treatment decisions.
Article Synopsis
- - Ventilator-associated pneumonia (VAP) is common in cardiac arrest patients, but diagnosing it post-arrest is difficult, leading to debate over the effectiveness of biomarkers like C-reactive protein (CRP) and procalcitonin (PCT) for this purpose.
- - The study analyzed the role of various biomarkers in diagnosing and predicting VAP within 48 hours following cardiac arrest and therapeutic hypothermia, using a randomized clinical trial as a foundation.
- - Results showed that VAP patients had distinct clinical features and higher biomarker levels indicating VAP; CRP was notably associated with VAP, demonstrating an area under the curve (AUC) greater than 0.70 in analyses.
Article Synopsis
- The study aimed to use standardized and automated CT assessments to predict outcomes for patients who suffered out-of-hospital cardiac arrest.
- Involving 140 unconscious patients, results showed that while qualitative assessments and various gray-white-matter ratio (GWR) models achieved 100% specificity in predicting poor outcomes, sensitivity rates varied, with automated GWR proving robust.
- The research concluded that these CT assessment methods could reliably indicate poor functional outcomes, and automated GWR could enhance accessibility for medical centers handling cardiac arrest cases.