Monitoring the hypnotic component of anesthesia during surgeries is critical to prevent intraoperative awareness and reduce adverse side effects. For this purpose, electroencephalographic (EEG) methods complementing measures of autonomic functions and behavioral responses are in use in clinical practice. However, in human neonates and infants existing methods may be unreliable and the correlation between brain activity and anesthetic depth is still poorly understood. Here, we characterized the effects of different anesthetics on brain activity in neonatal mice and developed machine learning approaches to identify electrophysiological features predicting inspired or end-tidal anesthetic concentration as a proxy for anesthetic depth. We show that similar features from EEG recordings can be applied to predict anesthetic concentration in neonatal mice and humans. These results might support a novel strategy to monitor anesthetic depth in human newborns.
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http://dx.doi.org/10.3389/fncir.2019.00038 | DOI Listing |
Life (Basel)
January 2025
Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Background: Many European countries' epidemiological data on burns were analyzed. This research aimed to analyze the key epidemiological characteristics of hospitalized burn patients in Serbia's major burn unit over 10 years, as well as to create the very first national epidemiological dataset with the basic requirements for future epidemiological studies.
Methods: A retrospective cross-sectional study was conducted, and demographic, clinical, and burn characteristics, as well as predictors of mortality, were analyzed.
Int J Mol Sci
January 2025
Legal Medicine, Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, 95123 Catania, Italy.
Fentanyl is a synthetic opioid widely used for its potent analgesic effects in chronic pain management and intraoperative anesthesia. However, its high potency, low cost, and accessibility have also made it a significant drug of abuse, contributing to the global opioid epidemic. This review aims to provide an in-depth analysis of fentanyl's medical applications, pharmacokinetics, metabolism, and pharmacogenetics while examining its adverse effects and forensic implications.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Chronic pain is a multidimensional experience that not only involves persistent nociception but is also frequently accompanied by significant emotional disorders, such as anxiety and depression, which complicate its management and amplify its impact. This review provides an in-depth exploration of the neurobiological mechanisms underlying the comorbidity of chronic pain and emotional disturbances. Key areas of focus include the dysregulation of major neurotransmitter systems (serotonin, gamma-aminobutyric acid, and glutamate) and the resulting functional remodeling of critical neural circuits implicated in pain processing, emotional regulation, and reward.
View Article and Find Full Text PDFBiomedicines
December 2024
Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Background/objectives: Emergence delirium (ED) is one of the most frequent postoperative complications in pediatric patients after general anesthesia. In adults, a deeper intraoperative level of anesthesia has been reported as an independent predictor of postoperative delirium. However, the effect of anesthetic depth on ED has rarely been demonstrated in the pediatric population.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of Anesthesiology and Intensive Care Medicine, Halland Hospital Halmstad, Lasarettsvägen, Halmstad, SE-30581, Sweden.
Background: Patients undergoing general anesthesia are more frequently monitored for depth of anesthesia using processed electroencephalography. Opioid-free anesthesia is nowadays an accepted modality for general anesthesia, however it is unclear how to interpret data from processed electroencephalography when using a mixture of non-opioid anesthetic drugs. Our objective was to describe density spectral array patterns and compare processed encephalographic data indices between opioid-free and routine opioid based anesthesia.
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