Journal of anesthesia
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Journal of anesthesia · Feb 2025
Randomized Controlled TrialThe effect of intravenous lidocaine infusion on subarachnoid anesthesia in patients undergoing total knee replacement: a randomised controlled trial.
Intravenous lidocaine is a non-opioid analgesic adjunct for perioperative pain relief. The aim of our study was to explore whether concurrent administration of intravenous lidocaine prolongs the duration of sensory block during total knee replacement (TKR) under spinal anaesthesia. ⋯ During unilateral TKR under spinal anaesthesia, concurrent use of intravenous lidocaine prolonged sensory block and reduced postoperative analgesic requirements.
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Journal of anesthesia · Feb 2025
Randomized Controlled TrialEffect of intravenous different drugs on the prevention of restlessness during recovery period of pediatric laparoscopic surgery: a randomized control trial.
To explored the impact of dexmedetomidine and esketamine in mitigating restlessness during the postoperative recovery phase following laparoscopic surgery in children. ⋯ Following CO2 pneumoperitoneum in pediatric laparoscopic surgeries, the intravenous administration of 1 μg/kg dexmedetomidine or 0.3 mg/kg esketamine effectively lowers EA occurrence without extending PACU time.
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Journal of anesthesia · Feb 2025
ReviewUsing multi-level regression to determine associations and estimate causes and effects in clinical anesthesia due to patient, practitioner and hospital or health system practice variability.
In this research methods tutorial of clinical anesthesia, we will explore techniques to estimate the influence of a myriad of factors on patient outcomes. Big data that contain information on patients, treated by individual anesthesiologists and surgical teams, at different hospitals, have an inherent multi-level data structure (Fig. 1). While researchers often attempt to determine the association between patient factors and outcomes, that does not provide clinicians with the whole story. ⋯ In addition, we will explore how to estimate the influence that variability-for example, one anesthesiologist deciding to do one thing, while another takes a different approach-has on outcomes for patients, using the intra-class correlation coefficient for continuous outcomes and the median odds ratio for binary outcomes. From this tutorial, you should acquire a clearer understanding of how to perform and interpret multi-level regression modeling and estimate the influence of variable clinical practices on patient outcomes in order to answer common but complex clinical questions. Fig. 1 Infographics.