Anesthesiology

Lipopolysaccharide-induced abdominal nociception model in adult zebrafish (Danio rerio).

In this study, a behavioral model of LPS-induced abdominal nociception was developed in adult zebrafish (Danio rerio), aZF. Initially, the toxicity of different LPS concentrations was assessed. The abdominal nociceptive response to the lowest LPS concentration was then analyzed, and the impact of sex on this nociceptive response was evaluated. The behavioral model of abdominal nociception was defi...

Promethazine for nausea and vomiting prevention after gynaecological laparoscopic surgery: A randomized controlled trial.

Postoperative nausea and vomiting (PONV) represent significant concerns for patients undergoing surgical procedures, as these symptoms greatly impact their postoperative experience. Among female patients undergoing laparoscopic surgery, the incidence of PONV is estimated to be approximately 45%. Moreover, for those individuals who have not undergone preventive treatment, the risk of experiencing P...

A Randomized, Blinded, Placebo-Controlled Crossover Study of the Pharmacokinetics and Pharmacodynamics of Naloxone, Naltrexone, and Nalmefene in Methadone-Sedated Working Dogs.

A randomized, blinded, placebo-controlled crossover study was performed with eight professional working dogs to evaluate the pharmacokinetics and phar...

Impact of Vitamin D Deficiency on Short- and Long-Term Mortality in Patients Receiving Hip Fracture Surgery Under General Anesthesia: A Matched Cohort Study.

BACKGROUND: Although vitamin D deficiency (VDD) is common in patients who have hip fractures, the relationship between VDD and mortality risk remains ...

A novel ultrasensitive derivatization-free synchronous fluorescence approach for the simultaneous analysis of propofol and nalbuphine in human plasma and dosage forms: Compliance with greenness and blueness metrics.

This study presents a very sensitive and eco-friendly synchronous spectrofluorimetric method for the simultaneous quantification of propofol (PRP) and...

Artificial intelligence alert system based on intraluminal view for colonoscopy intubation.

Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perforation. There is still a lack of quantitative ana...

Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousness. Precise control is crucial for safe and pain-f...

Evaluation of Perioperative Cardiovascular Event Risk in Gastrointestinal Surgery　- Predictive Modeling and Risk Stratification Using Machine Learning.

BACKGROUND: Preoperative risk assessment is very important to ensure surgical safety and predict postoperative complications. However, no large-scale ...

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for the development of a model that can accurately for...

Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics.

Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing general anesthesia. The occurrence of BS is associated...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in ...

Neural models for detection and classification of brain states and transitions.

Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesthesia, provides rich functional models for studying...

Enhancing Ophthalmic Anesthesia Optimization with Predictive Embedding Models.

Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involves the delicate aspects of pain control, sedation, ...

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries under general anesthesia, often leading to increas...

Point-of-care ultrasound in obstetric anesthesia clinical practice.

PURPOSE OF THE REVIEW: Point-of-care ultrasound (POCUS) is increasingly recognized as a valuable tool in obstetric anesthesia. This review synthesizes...

Effect of esketamine on the EC of remifentanil for suppression of choking cough during extubation.

Choking cough during awakening from anesthesia is common (15%-94%) and can cause severe discomfort and complications, especially in neck surgery. This...

Anesthesia depth prediction from drug infusion history using hybrid AI.

BACKGROUND: Accurately predicting the depth of anesthesia is essential for ensuring patient safety and optimizing surgical outcomes. Traditional regre...

Shaping the Future of Cardiac Anesthesia: Emerging Trends and Research Directions.

This article provides an overview of knowledge gaps that need to be addressed in perioperative cardiac surgery, including concomitant surgical procedu...

Increased Global and Regional Connectivity in Propofol-induced Unconsciousness: Human Intracranial Electroencephalography Study.

BACKGROUND: The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity...

Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study.

BACKGROUND: Early identification of high-risk factors for inadequate analgesia and adverse reactions in obstetric patients is critical for improving o...