Resuscitation
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Out-of-hospital cardiac arrest (OHCA) at home is associated with lower rates of shockable initial rhythm and survival than OHCA in a public location. We determined whether medical history and medication use explain the association between OHCA location and presence of shockable initial rhythm and survival rate. ⋯ Comorbidity and medication use do not substantially contribute in explaining the poor outcome from out-of-hospital cardiac arrest occurring at home. Even when adjusted for medical history, medication use, resuscitation characteristics, and demographics, a large gap of unexplained variance in shockable initial rhythm and survival remains.
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To explore the value of electroencephalogram (EEG) pattern in predicting awakening of comatose patients after cardiopulmonary resuscitation (CPR). ⋯ The slow wave pattern of EEG had a good predictive value for awakening in comatose patients after CPR, and the highest accuracy occurred within 8-14 days from coma.
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Cardiac arrests are associated with poor outcomes. The International Liaison Committee on Resuscitation (ILCOR) evaluates resuscitation science and produced, until 2015, five-yearly consensus on science and treatment recommendations (CoSTRs), informing global resuscitation guidelines. We aimed to identify similarities/differences in resuscitation guidelines from ILCOR members, noting concurrence over time, and CoSTRs influence on these guidelines. ⋯ The improved concurrence across the resuscitation guidelines with the CoSTRs suggests that ILCOR members accept and hence incorporate CoSTRs recommendations to inform their own resuscitation guidelines. This is one step towards the development of international universal guidelines for adult and paediatric resuscitation.
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To establish incidence, phenotype, long-term functional outcome, and early EEG predictors of delirium after cardiac arrest. ⋯ Delirium is common after cardiac arrest, and probably leads to longer hospitalization and poorer outcome. Optimal treatment is unclear. Early EEG holds potential to identify patients at risk.
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To determine if mathematical optimization of in-hospital defibrillator placements can reduce in-hospital cardiac arrest-to-defibrillator distance compared to existing defibrillators in a single hospital. ⋯ Optimization-guided placement of in-hospital defibrillators can reduce the distance from an IHCA to the closest defibrillator. Equivalently, optimization can match existing defibrillator performance using far fewer defibrillators.