Anesthesia and analgesia
-
Anesthesia and analgesia · Sep 2024
Meta AnalysisImpact of Intraoperative Dexamethasone on Perioperative Blood Glucose Levels: Systematic Review and Meta-Analysis of Randomized Trials.
Dexamethasone is associated with increased blood glucose levels that could impact patient outcomes or management. This study aimed to synthesize the available evidence regarding the impact of an intraoperative single dose of dexamethasone on blood glucose levels. ⋯ Mean blood glucose levels rise between 0.37 and 1.63 mmol L-1 (6.7 and 29.4 mg dL-1) within 24 hours after a single dose of dexamethasone administered at induction of anesthesia compared to control, but in most patients this difference will not be clinically relevant.
-
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.
-
Anesthesia and analgesia · Sep 2024
Sirtuin 3 Mediated by Spinal cMyc-Enhancer of Zeste Homology 2 Pathway Plays an Important Role in Human Immunodeficiency Virus-Related Neuropathic Pain Model.
Clinical data demonstrate that chronic use of opioid analgesics increases neuropathic pain in people living with human immunodeficiency virus (HIV). Therefore, it is important to elucidate the molecular mechanisms of HIV-related chronic pain. In this study, we investigated the role of the transcription factor cMyc, epigenetic writer enhancer of zeste homology 2 (EZH2), and sirtuin 3 (Sirt3) pathway in HIV glycoprotein gp120 with morphine (gp120M)-induced neuropathic pain in rats. ⋯ These results demonstrated that spinal Sirt3 decrease in gp120M-induced neuropathic pain was mediated by cMyc-EZH2/H3K27me3 activity in an epigenetic manner. This study provided new insight into the mechanisms of neuropathic pain in HIV patients with chronic opioids.
-
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.