Articles: cations.
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Curr Opin Crit Care · Dec 2023
ReviewAutomated external defibrillators and the link to first responder systems.
Automated external defibrillators are a very effective treatment to convert ventricular fibrillation (VF) in out-of-hospital cardiac arrest. The purpose of this paper is to review recent publications related to automated external defibrillators (AEDs). ⋯ The use of public AEDs in OHCA are still low. Systems focusing on engaging volunteers in the cardiac arrest response have shown to be associated with higher AED usage. Dispatching drones equipped with AEDs is promising, but research lacks clinical data. On-site defibrillation is associated with high survival rates but is not available for most cardiac arrests.
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To investigate the association between operative time and postoperative outcomes. ⋯ Longer operative time was associated with worse outcomes in patients who underwent lobectomy. Operative time is a potential risk factor to consider in the perioperative phase.
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Randomized Controlled Trial
Comparison of the Effects of Body Mechanics Education Methods on Pain, Disability, and Quality of Life: A Randomized Controlled Study.
Educating patients undergoing surgery for LDH is important to maintain the proper performance of body mechanics. ⋯ Preoperative education on body mechanics increases the physical functioning of patients with LDH and facilitates the integration of information into their daily activities.
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Opioid prescribing varies widely, and prescribed opioid dosages for an individual can fluctuate over time. Patterns in daily opioid dosage among patients prescribed long-term opioid therapy have not been previously examined. This study uses a novel application of time-series cluster analysis to characterize and visualize daily opioid dosage trajectories and associated demographic characteristics of patients newly initiated on long-term opioid therapy. ⋯ Time-series cluster analysis identified 2 clusters for each of the 3 baseline dosage categories <150 MME and 3 clusters for the baseline dosage category ≥150 MME. One cluster in each baseline dosage category comprised opioid dosage trajectories with decreases in dosage at the end of the follow-up period (80.7%, 98.7%, 98.7%, and 99.0%, respectively), discontinuation (58.5%, 80.0%, 79.3%, and 81.7%, respectively), and rapid tapering (50.8%, 85.8%, 87.5%, and 92.9%, respectively). These findings indicate multiple clusters of patients newly initiated on long-term opioid therapy who experience discontinuation and rapid tapering and highlight potential areas for clinician training to advance evidence-based guideline-concordant opioid prescribing, including strategies to minimize sudden dosage changes, discontinuation, or rapid tapering, and the importance of shared decision-making.
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To implement a machine learning model using only the restricted data available at case creation time to predict surgical case length for multiple services at different locations. ⋯ We created a unique framework that is being leveraged every day to predict surgical case length more accurately at case posting time and could be potentially utilized to deploy future machine learning models.