Articles: cations.
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To elucidate the potential usage of continuous feedback regarding team satisfaction and correlations with operative performance and patient outcomes. ⋯ This study demonstrates the feasibility of a dynamic survey platform to report actionable health care provider satisfaction metrics in real-time. Team satisfaction is associated with modifiable team variables and some key operational outcomes. Leveraging qualitative measurements of teamwork as operational indicators may augment staff engagement and measures of performance.
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Anaesthesiologists deliver an increasing amount of patient care and often work long hours in operating theatres and intensive care units, with frequent on-calls and insufficient rest in between. In the long term, this will negatively influence mental and physical health and well being. As fatigue becomes more prevalent, this has predictable implications for patient safety and clinical effectiveness. 1. ⋯ Work-related fatigue is a significant and widespread problem amongst anaesthesiologists. More education and increased awareness of fatigue and its adverse effects on patient safety, staff well being and physical and mental health are needed. Departments should ensure that their rotas and job plans comply with the European Working Time Directive (EWTD) and introduce a fatigue risk management system to mitigate the effects of fatigue.
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Critical care medicine · Jan 2024
Bilateral Femoral Cannulation Is Associated With Reduced Severe Limb Ischemia-Related Complications Compared With Unilateral Femoral Cannulation in Adult Peripheral Venoarterial Extracorporeal Membrane Oxygenation: Results From the Extracorporeal Life Support Registry.
Peripheral venoarterial extracorporeal membrane oxygenation (ECMO) with femoral access is obtained through unilateral or bilateral groin cannulation. Whether one cannulation strategy is associated with a lower risk for limb ischemia remains unknown. We aim to assess if one strategy is preferable. ⋯ This study showed no risk reduction for overall limb ischemia-related events requiring DPC after 6 hours when comparing bilateral to unilateral femoral cannulation in peripheral venoarterial ECMO. However, bilateral cannulation was associated with a reduced risk for compartment syndrome/fasciotomy, lower rates of bleeding and vessel repair during ECMO, and lower in-hospital mortality.
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Anesthesia and analgesia · Jan 2024
Population Pharmacokinetics of Single Bolus Dose Fentanyl in Obese Children.
Childhood obesity is a significant problem. Obesity may alter the pharmacokinetics (PKs) of medications. Fentanyl is commonly used for procedural sedation, but there is a paucity of bolus dose fentanyl PK data in obese children. Better understanding of fentanyl PK in obese children would facilitate dosing recommendations. We conducted a study involving children with and without obesity to assess the potential differences in bolus dose fentanyl PK between the 2 groups. ⋯ Our data demonstrated higher peak plasma fentanyl concentrations in obese compared to nonobese subjects. Population PK analysis found that FFM was a significant covariate for the central volume of distribution. Model simulation showed dosing of fentanyl in obese children based on TBW resulted in significantly higher peak concentrations than dosing based on FFM. Based on this modeling and the known concentration-effect relationship between fentanyl and adverse effects, our results suggest that bolus dosing of fentanyl in obese children should be based on FFM rather than TBW, particularly for procedures of short duration.
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Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. ⋯ Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. Machine learning has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management.