Resuscitation
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Extracorporeal life support has been used as an extension of conventional cardiopulmonary resuscitation (CPR). However, the appropriate indications for extracorporeal CPR (ECPR) including the duration of CPR are unknown. We present a case of a male, 37-year-old out-of-hospital cardiac arrest patient who received prolonged CPR followed by ECPR. ⋯ Ultimately, the patient was discharged without neurological complications. Although cardiac arrest occurred out-of-hospital and CPR was performed for a long time, a patient might be a candidate for ECPR if perfusing rhythms are restored transiently but not successfully maintained due to recurrent VF. ECPR may be used for VF unresponsive to standard CPR techniques.
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The quality of education, CPR guidelines and the chain of survival all contribute to patient outcome following cardiac arrest. Increasing concerns about patient safety have focused attention on the methods used to train and prepare doctors for clinical practice. Reductions in clinical exposure at both undergraduate and postgraduate level have been implicated in junior doctors inability to recognise and manage critically ill patients. ⋯ Simulation provides a learning opportunity for controlled clinical practice without putting patients or others at risk. This review examines the history and rationale for simulation training in resuscitation and provides some background to the learning theories that underpin it. The role of task trainers, high and low fidelity patient simulators and computer assisted simulation as teaching tools are discussed.
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To investigate the potential for finding an alternative for the 'pulse check' during CPR, we studied the use of thoracic impedance measured via the defibrillator pads for circulation assessment during CPR. ⋯ We have shown that the circulation-related information found in the impedance signal may be used for circulatory assessment, especially the recognition of restoration of spontaneous circulation after cardiac arrest.
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The duration of untreated ventricular fibrillation (VF) is of paramount importance for CPR success. Moreover, therapeutic interventions taking into account the interval between cardiac arrest onset and initiation of CPR improve outcome. This study was performed to investigate whether VF feature analysis could be used to estimate the duration of VF in patients with out-of-hospital cardiac arrest. ⋯ The correlation between VF ECG features and cardiac arrest times was investigated using Pearson's correlation coefficient in a subset of 40 patients with reliably estimated downtimes and artefact-free initial VF tracings. No significant correlation (p<.05) between any of the VF ECG features and downtime could be found. The duration of cardiac arrest could not be estimated reliably from human VF ECG single feature analysis.
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Targeted defibrillation therapy is needed to optimise survival chances of ventricular fibrillation (VF) patients, but at present VF analysis strategies to optimise defibrillation timing have insufficient predictive power. From 197 patients with in-hospital and out-of-hospital cardiac arrest, 770 electrocardiogram (ECG) recordings of countershock attempts were analysed. Preshock VF ECG features in the time and frequency domain were tested retrospectively for outcome prediction. ⋯ Using frequency band segmentation of human VF ECG, several single predictive features with high ROC AUC>0.840 were identified. Combining these single predictive features using neural networks did not further improve outcome prediction in human VF data. This may indicate that various simple VF features, such as median slope already reach the maximum prediction power extractable from VF ECG.