AIMC Topic: Analgesics, Opioid

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Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Function (Oxford, England) May 19, 2025
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks in the brainstem. The effects of opioids on sensory inputs regulating breathing are less studied. This study examined the effects of fentanyl and sufen...
Animals Male Rats Respiratory Insufficiency Carotid Body Receptors, Opioid, kappa Rats, Sprague-Dawley Analgesics, Opioid Fentanyl
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.

Journal of medical Internet research May 13, 2025
BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opioid-related deaths increasing more than 8-fold since 1999. Chronic pain, affecting 1 in 5 US adults, is a key contributor to opioid use and misuse. Wh...
Opioid-Related Disorders Humans Semantics Machine Learning Linguistics Social Media United States Analgesics, Opioid Pain
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Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.

Journal of opioid management Jan 1, 2025
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the aim of identifying and interpreting the risk factors associated with high-dose opioid prescribing.
Aged Young Adult Adult Machine Learning Female Risk Factors United States Socioeconomic Factors Age Factors Male Middle Aged Risk Assessment Humans Practice Patterns, Physicians' Analgesics, Opioid Drug Prescriptions Sex Factors Medicaid Sociodemographic Factors
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Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

Studies in health technology and informatics May 18, 2023
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsupervised machine learning. The cluster with the highest proportion of successful treatment outcomes w...
Hospitalization Unsupervised Machine Learning Patient Discharge Analgesics, Opioid Opioid-Related Disorders Humans
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Analgesic efficacy of two different volumes of local anaesthetics in ultrasound-guided modified approach to the thoracolumbar interfascial plane block in patients undergoing lumbar spine surgeries: a randomized controlled trial.

Anaesthesiology intensive therapy Jan 1, 2023
INTRODUCTION: There is a lack of clarity regarding the ideal local anaesthetic volume for modified thoracolumbar interfascial plane (mTLIP) block. This study was designed to investigate the analgesic efficacy of two different volumes of bupivacaine 0...
Analgesics Ultrasonography, Interventional Humans Analgesics, Opioid Pain, Postoperative Nerve Block Bupivacaine Morphine Anesthetics, Local
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Predicting the structure of unexplored novel fentanyl analogues by deep learning model.

Briefings in bioinformatics Nov 19, 2022
Fentanyl and its analogues are psychoactive substances and the concern of fentanyl abuse has been existed in decades. Because the structure of fentanyl is easy to be modified, criminals may synthesize new fentanyl analogues to avoid supervision. The ...
Fentanyl Magnetic Resonance Spectroscopy Deep Learning Data Management Analgesics, Opioid
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Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Potential of natural language processing (NLP) in extracting patient's information from clinical notes of opioid treatment programs (OTP) and leveraging it in development of predictive models has not been fully explored. The goal of this study was to...
Humans Natural Language Processing Analgesics, Opioid Machine Learning Records
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Comment on: "Predictive factors for opioid-free management after robotic radical prostatectomy: the value of a single-port robotic platform".

Minerva urology and nephrology Oct 1, 2021
Prostatectomy Robotic Surgical Procedures Prostate Analgesics, Opioid Humans Male Robotics
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Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning.

Anesthesia and analgesia Aug 1, 2021
BACKGROUND: Long-term opioid use has negative health care consequences. Patients who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk factors have been previously identified, no methods currently exist to determin...
Humans Predictive Value of Tests Pain, Postoperative Machine Learning Risk Factors Child Risk Assessment Pain Management Analgesics, Opioid Decision Support Techniques Young Adult Treatment Outcome Adolescent Surgical Procedures, Operative Retrospective Studies Male Age Factors Time Factors Drug Administration Schedule Female
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Identifying risk of opioid use disorder for patients taking opioid medications with deep learning.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: The United States is experiencing an opioid epidemic. In recent years, there were more than 10 million opioid misusers aged 12 years or older annually. Identifying patients at high risk of opioid use disorder (OUD) can help to make early c...
Opioid-Related Disorders Deep Learning Humans United States Databases, Factual Analgesics, Opioid Electronic Health Records
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