Elie Azoulay
Elie Azoulay has a total of 27 co-authors. Here are the top co-authors by number of shared publications:
Arnaud de Lassence
2 shared publicationsChristophe Adrie
2 shared publicationsYves Cohen
2 shared publicationsA. De Lassence
Medical ICU, Louis Mourier Hospital , Colombes
1 shared publicationA. Descorps-Declere
Surgical ICU, Antoine Beclere Hospital , Clamart
1 shared publicationB. Mourvillier
Medical-Surgical ICU, Aulnay sous Bois , Clamart
1 shared publication
Latest Publications
- Open Access
- 15 May 2004
- Published by Oxford University Press (OUP) in Clinical Infectious Diseases
- Vol. 38 (10) , 1401-1408
Sedation, Sucralfate, and Antibiotic Use Are Potential Means for Protection against Early-Onset Ventilator-Associated Pneumonia
To examine risk factors for early-onset ventilator-associated pneumonia (EOP) in patients requiring mechanical ventilation (MV), we performed a prosp
- 15 May 2004
- Published by Oxford University Press (OUP) in Clinical Infectious Diseases
- Vol. 38 (10) , 1401-1408
Open AccessSedation, Sucralfate, and Antibiotic Use Are Potential Means for Protection against Early-Onset Ventilator-Associated Pneumonia
To examine risk factors for early-onset ventilator-associated pneumonia (EOP) in patients requiring mechanical ventilation (MV), we performed a prosp
- 7 October 2003
- Published by Springer Nature in Intensive Care Medicine
- Vol. 29 (11) , 1895-1901
Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death
More than one-half the deaths of patients admitted to intensive care units (ICUs) occur after a decision to forgo life-sustaining therapy (DFLST). Although DFLSTs typically occur in patients with severe comorbidities and intractable acute medical disorders, other factors may influence the likelihood of DFLSTs. The objectives of this study were to describe the factors and mortality associated with DFLSTs and to evaluate the potential independent impact of DFLSTs on hospital mortality. Prospective multicenter 2-year study in six ICUs in France. The 1,698 patients admitted to the participating ICUs during the study period, including 295 (17.4%) with DFLSTs. The impact of DFLSTs on hospital mortality was evaluated using a model that incorporates changes in daily logistic organ dysfunction scores during the first ICU week. Univariate predictors of death included demographic factors (age, gender), comorbidities, reasons for ICU admission, severity scores at ICU admission, and DFLSTs. In a stepwise Cox model five variables independently predicted mortality: good chronic health status (hazard ratio, 0.479), SAPS II score higher than 39 (2.05), chronic liver disease (1.463), daily logistic organ dysfunction score (1.357 per point), and DFLSTs (1.887). DFLSTs remain independently associated with death after adjusting on comorbidities and severity at ICU admission and within the first ICU week. This highlights the need for further clarifying the many determinants of DFLSTs and for routinely collecting DFLSTs in studies with survival as the outcome variable of interest.
- 7 October 2003
- Published by Springer Nature in Intensive Care Medicine
- Vol. 29 (11) , 1895-1901
Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death
More than one-half the deaths of patients admitted to intensive care units (ICUs) occur after a decision to forgo life-sustaining therapy (DFLST). Although DFLSTs typically occur in patients with severe comorbidities and intractable acute medical disorders, other factors may influence the likelihood of DFLSTs. The objectives of this study were to describe the factors and mortality associated with DFLSTs and to evaluate the potential independent impact of DFLSTs on hospital mortality. Prospective multicenter 2-year study in six ICUs in France. The 1,698 patients admitted to the participating ICUs during the study period, including 295 (17.4%) with DFLSTs. The impact of DFLSTs on hospital mortality was evaluated using a model that incorporates changes in daily logistic organ dysfunction scores during the first ICU week. Univariate predictors of death included demographic factors (age, gender), comorbidities, reasons for ICU admission, severity scores at ICU admission, and DFLSTs. In a stepwise Cox model five variables independently predicted mortality: good chronic health status (hazard ratio, 0.479), SAPS II score higher than 39 (2.05), chronic liver disease (1.463), daily logistic organ dysfunction score (1.357 per point), and DFLSTs (1.887). DFLSTs remain independently associated with death after adjusting on comorbidities and severity at ICU admission and within the first ICU week. This highlights the need for further clarifying the many determinants of DFLSTs and for routinely collecting DFLSTs in studies with survival as the outcome variable of interest.