Intensive care medicine
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Intensive care medicine · May 2020
Standardized EEG analysis to reduce the uncertainty of outcome prognostication after cardiac arrest.
Post-resuscitation guidelines recommend a multimodal algorithm for outcome prediction after cardiac arrest (CA). We aimed at evaluating the prevalence of indeterminate prognosis after application of this algorithm and providing a strategy for improving prognostication in this population. ⋯ In the majority of comatose CA patients, the outcome remains indeterminate after application of ERC/ESICM prognostication algorithm. Standardized EEG background analysis enables accurate prediction of both good and poor recovery, thereby greatly reducing uncertainty about coma prognostication in this patient population.
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Intensive care medicine · May 2020
Multicenter StudyUnexpected cardiac arrests occurring inside the ICU: outcomes of a French prospective multicenter study.
Cardiac arrest may occur unexpectedly in intensive care units (ICU). We hypothesize that certain patient characteristics and treatments are associated with survival and long-term functional outcome following in-ICU cardiac arrest. ⋯ Only one in six patients with in-ICU cardiac arrest and resuscitation attempt was alive at 6 months with good functional status. Certain characteristics specific to cardiac arrests, resuscitation maneuvers, and the pathological context in which they happen may help clarify prognosis and inform relatives.
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Intensive care medicine · May 2020
Multicenter Study Observational StudyExtracorporeal membrane oxygenation for refractory cardiac arrest: a retrospective multicenter study.
The aim of this study was to assess the neurologic outcome following extracorporeal cardiopulmonary resuscitation (ECPR) in five European centers. ⋯ ECPR was associated with intact neurological recovery in 19% of unselected cardiac arrest victims, with 38% favorable outcome if stringent selection criteria would have been applied.
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Intensive care medicine · May 2020
Observational StudyIdentification and validation of biomarkers of persistent acute kidney injury: the RUBY study.
The aim of the RUBY study was to evaluate novel candidate biomarkers to enable prediction of persistence of renal dysfunction as well as further understand potential mechanisms of kidney tissue damage and repair in acute kidney injury (AKI). ⋯ Elevated urinary CCL14 predicts persistent AKI in a large heterogeneous cohort of critically ill patients with severe AKI. The discovery of CCL14 as a predictor of persistent AKI and thus, renal non-recovery, is novel and could help identify new therapeutic approaches to AKI.