Anesthesia and analgesia
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Anesthesia and analgesia · Sep 2024
Meta AnalysisPerioperative Dexamethasone in Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized, Placebo-Controlled Trials.
The perioperative use of dexamethasone in diabetic patients remains controversial due to concerns related to infection and adverse events. This study aimed to determine whether clinical evidence supports withholding dexamethasone in diabetic patients due to concern for infection risk. We hypothesized that there is no difference in infectious outcomes between dexamethasone-treated patients and controls. ⋯ Current evidence suggests perioperative dexamethasone may be given to diabetic patients without increasing the risk of infectious complications. Prospective investigations aimed at optimizing dose, frequency, and timing are needed, as well as studies aimed explicitly at exploring the use of dexamethasone in patients with poorly controlled diabetes.
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Anesthesia and analgesia · Sep 2024
Review Practice GuidelineCare of the Pediatric Patient for Ambulatory Tonsillectomy With or Without Adenoidectomy: The Society for Ambulatory Anesthesia Position Statement.
The landscape of ambulatory surgery is changing, and tonsillectomy with or without adenoidectomy is one of the most common pediatric surgical procedures performed nationally. The number of children undergoing tonsillectomy on an ambulatory basis continues to increase. The 2 most common indications for tonsillectomy are recurrent throat infections and obstructive sleep-disordered breathing. ⋯ The aim is to provide health care professionals with practical criteria and suggestions based on the best available evidence. When high-quality evidence is unavailable, we relied on group consensus from pediatric ambulatory specialists in the SAMBA Pediatric Committee. Consensus recommendations were presented to the Pediatric Committee of SAMBA.
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Anesthesia and analgesia · Sep 2024
The Association of Physiological and Pharmacological Anesthetic Parameters With Motor-Evoked Potentials: A Multivariable Longitudinal Mixed Model Analysis.
During spinal surgery, the motor tracts can be monitored using muscle-recorded transcranial electrical stimulation motor-evoked potentials (mTc-MEPs). We aimed to investigate the association of anesthetic and physiological parameters with mTc-MEPs. ⋯ MAP, BIS, heart rate, and temperature were significantly associated with mTc-MEP amplitude and/or AUC. Maintenance of BIS and MAP at the high normal values may attenuate anesthetic effects on mTc-MEPs.
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Anesthesia and analgesia · Sep 2024
Management of Muscle Relaxation With Rocuronium and Reversal With Neostigmine or Sugammadex Guided by Quantitative Neuromuscular Monitoring.
The optimal pharmacological reversal strategy for neuromuscular blockade remains undefined even in the setting of strong recommendations for quantitative neuromuscular monitoring by several national and international anesthesiology societies. We evaluated a protocol for managing rocuronium blockade and reversal, using quantitative monitoring to guide choice of reversal agent and to confirm full reversal before extubation. ⋯ A protocol that includes quantitative monitoring to guide reversal with neostigmine or sugammadex and to confirm TOF ratio ≥0.9 before extubation resulted in the complete prevention of PRNB. With current pricing of drugs, the selective use of sugammadex reduced the total cost of reversal drugs compared to the projected cost associated with routine use of sugammadex for all patients.
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Anesthesia and analgesia · Sep 2024
Decision Curve Analysis of In-Hospital Mortality Prediction Models: The Relative Value of Pre- and Intraoperative Data For Decision-Making.
Clinical prediction modeling plays a pivotal part in modern clinical care, particularly in predicting the risk of in-hospital mortality. Recent modeling efforts have focused on leveraging intraoperative data sources to improve model performance. However, the individual and collective benefit of pre- and intraoperative data for clinical decision-making remains unknown. We hypothesized that pre- and intraoperative predictors contribute equally to the net benefit in a decision curve analysis (DCA) of in-hospital mortality prediction models that include pre- and intraoperative predictors. ⋯ When it comes to predicting in-hospital mortality and subsequent decision-making, preoperative demographics, comorbidities, and surgery-related data provide the largest benefit for clinicians with risk-averse preferences, whereas preoperative laboratory values provide the largest benefit for decision-makers with more moderate risk preferences. Our decision-analytic investigation of different predictor categories moves beyond the question of whether certain predictors provide a benefit in traditional performance metrics (eg, AUROC). It offers a nuanced perspective on for whom these predictors might be beneficial in clinical decision-making. Follow-up studies requiring larger datasets and dedicated deep-learning models to handle continuous intraoperative data are essential to examine the robustness of our results.