Resuscitation
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To build new algorithms for prognostication of comatose cardiac arrest patients using clinical examination, and investigate whether therapeutic hypothermia influences the value of the clinical examination. ⋯ The clinical examination remains central to prognostication in comatose cardiac arrest patients in the modern area. Future studies should incorporate the clinical examination along with modern technology for accurate prognostication.
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Quality chest compressions (CC) are the most important factor in successful cardiopulmonary resuscitation. Adjustment of CC based upon an invasive arterial blood pressure (ABP) display would be theoretically beneficial. Additionally, having one compressor present for longer than a 2-min cycle with an ABP display may allow for a learning process to further maximize CC. Accordingly, we tested the hypothesis that CC can be improved with a real-time display of invasively measured blood pressure and with an unchanged, physically fit compressor. ⋯ Our study confirms the hypothesis that a real-time display of simulated ABP during CPR that responds to participant performance improves achieved and sustained ABP. However, without any real-time visual feedback, even fit compressors demonstrated degradation of CC quality.
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Accurate ventricular fibrillation (VF) waveform analysis usually requires rescuers to discontinue cardiopulmonary resuscitation (CPR). However, prolonged "hands-off" time has a deleterious impact on the outcome. We developed a new filter technique that could clean the CPR artifacts and help preserve the shockability index of VF METHODS: We analyzed corrupted ECGs, which were constructed by randomly adding different scaled CPR artifacts to the VF waveforms. A newly developed algorithm was used to identify the CPR fluctuations. The algorithm contained two steps. First, decomposing the raw data by empirical mode decomposition (EMD) into several intrinsic mode fluctuations (IMFs) and combining the dominant IMFs to reconstruct a new signal. Second, calculating each CPR cycle frequency from the new signal and fitting the new signal to the original corrupted ECG by least square mean (LSM) method to derive the CPR artifacts. The estimated VF waveform was derived by subtraction of the CPR artifacts from the corrupted ECG. We then performed amplitude spectrum analysis (AMSA) for original VF, corrupted ECG and estimated VF. ⋯ The new algorithm could efficiently filter the CPR-related artifacts of the VF ECG and preserve the shockability index of the original VF waveform.
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To improve our neonatal resuscitations we review video recordings of actual high-risk deliveries as an ongoing quality review process. In order to help identify and review errors that occurred during resuscitation we educated our resuscitation teams using crew resource management and in March 2009 developed a checklist to be used for potentially high-risk resuscitations. ⋯ The use of checklists during neonatal resuscitation was helpful in improving overall communication, and allowed for rapid identification of issues that need to be addressed by institutional leaders. There needs to be further evaluation of the utility and benefit of checklists for neonatal resuscitation. Based on our past and present experience we encourage the use of checklists for neonatal resuscitation teams.
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Review Observational Study
An observational study of patient selection criteria for post-cardiac arrest therapeutic hypothermia.
To date, there is no comprehensive assessment of how therapeutic hypothermia and post-arrest care are being implemented clinically. At this stage in the translation of post-arrest science to clinical practice, this analysis is overdue. This study examines the first step of post-arrest care--the selection of patients for TH and post-arrest care. ⋯ This study demonstrates the wide range and variety of patient selection criteria that are being used for implementation of post-cardiac arrest care. The consequences of this selection criteria variability are currently unmeasured and likely underestimated. Variability is likely to breed inefficiency. Some patients who could benefit do not get treated. Other patients get cooled, yet will never regain consciousness. This variability may be important when considering inter-hospital variation in post-arrest care and outcomes.