AIMC Topic: Analgesics, Opioid
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Intraoperative multimodal analgesic bundle containing dexmedetomidine and ketorolac may improve analgesia after robot-assisted prostatectomy in patients receiving rectus sheath blocks.
Asian journal of surgery
Aug 6, 2021
BACKGROUND: Minimally invasive robot-assisted laparoscopic radical prostatectomy (RALP) has replaced open prostatectomy. However, RALP does not reduce postoperative pain compared to the open approach. We explored whether bundled intraoperative intrav...
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.
American journal of surgery
Mar 26, 2021
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...
Machine Learning
Forecasting
Retrospective Studies
Female
Aged
Humans
Headache
Postoperative Period
Drug Prescriptions
Preoperative Period
Arthralgia
Back Pain
Databases, Pharmaceutical
Comorbidity
Insurance Claim Review
Young Adult
ROC Curve
Prescription Drug Overuse
Adult
Area Under Curve
Male
Abdominal Pain
Middle Aged
Analgesics, Opioid
Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.
PloS one
Mar 18, 2021
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with h...
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning.
Journal of biomedical informatics
Mar 9, 2021
The US is experiencing an opioid epidemic, and opioid overdose is causing more than 100 deaths per day. Early identification of patients at high risk of Opioid Overdose (OD) can help to make targeted preventative interventions. We aim to build a deep...
Machine learning algorithms to predict seizure due to acute tramadol poisoning.
Human & experimental toxicology
Feb 4, 2021
INTRODUCTION: This study was designed to develop and evaluate machine learning algorithms for predicting seizure due to acute tramadol poisoning, identifying high-risk patients and facilitating appropriate clinical decision-making.
Postoperative analgesia in patients undergoing robot-assisted thoracic surgery: a comparison between thoracic epidural analgesia and intercostal nerve block combined with intravenous patient-controlled analgesia.
Annals of palliative medicine
Jan 6, 2021
BACKGROUND: Recently, robot-assisted thoracic surgery (RATS) is increasingly applied to lung or mediastinal tumor surgery. However, appropriate methods of postoperative analgesia for RATS have not been studied.
Perioperative Outcomes of Patients Who Were Not Candidates for Additional Nonsteroidal Anti-inflammatory Drugs in a Multimodal Pain Control Regimen for Total Knee Arthroplasty.
Clinics in orthopedic surgery
Dec 21, 2020
BACKGROUD: Postoperative pain following total knee arthroplasty (TKA) may hamper patients from a rapid recovery and increase perioperative blood loss and stress on the cardiovascular system. Therefore, our objective was to assess perioperative outcom...
Towards compound identification of synthetic opioids in nontargeted screening using machine learning techniques.
Drug testing and analysis
Dec 9, 2020
The constant evolution of the illicit drug market makes the identification of unknown compounds problematic. Obtaining certified reference materials for a broad array of new analogues can be difficult and cost prohibitive. Machine learning provides a...
Pure Single-site Robot-assisted Radical Prostatectomy Using Single-port Versus Multiport Robotic Radical Prostatectomy: A Single-institution Comparative Study.
European urology focus
Nov 5, 2020
BACKGROUND: Pure single-site robot-assisted extraperitoneal prostatectomy (EPP) using a single-port (SP) robotic platform has been shown to be feasible and safe in previous descriptive studies.
Machine learning approach to predict postoperative opioid requirements in ambulatory surgery patients.
PloS one
Jul 31, 2020
Opioids play a critical role in acute postoperative pain management. Our objective was to develop machine learning models to predict postoperative opioid requirements in patients undergoing ambulatory surgery. To develop the models, we used a periope...
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