AIMC Topic: Hypnotics and Sedatives

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Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent.

Monitoring the level of hypnosis using a hierarchical SVM system.

Journal of clinical monitoring and computing
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery. This paper proposes a novel automated method for accurate assessing of the lev...

Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BMC medical informatics and decision making
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified...

Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.

Journal of neural engineering
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs. Quantitative knowledge on the sedation effect on brain activity in that complex scenario could help to uncover new markers for sedation assessment. ...

Pharmacokinetics of dexmedetomidine during analgosedation in ICU patients.

Journal of pharmacokinetics and pharmacodynamics
Dexmedetomidine (DEX) is a fairly new alfa-agonist which has been increasingly used in recent years for analgosedation, mostly because it offers a unique ability of providing both moderate level of sedation and analgesia without respiratory depressio...

Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

Journal of intensive care medicine
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the risk of propofol-associated hypertriglyceridemia in critically ill patients receiving propofol sedation. Patients from 11 intensive care units (ICUs) a...

Prediction of treatment efficacy in the suanzaoren decoction and estazolam for chronic insomnia disorder, along with brain function and cognitive changes before and after treatment, and potential gene expression profiles.

Asian journal of psychiatry
OBJECTIVE: This study compared the brain function changes in chronic insomnia disorder (CID) before and after treatment by suanzaoren decoction (SZRD) and estazolam, to reveal their effects in cognition improvement, and to explore the potential genet...

The future of target-controlled infusion and new pharmacokinetic models.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: To summarize recent developments in the understanding of the pharmacology of the hypnotic and opioid drugs, with relevance to target-controlled infusions and newer pharmacokinetic models.