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A Review of Leveraging Artificial Intelligence to Predict Persistent Postoperative Opioid Use and Opioid Use Disorder and its Ethical Considerations.
Curr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
IoC2 monitoring versus standard practice in reducing opioid consumption in elderly patients undergoing laparoscopic colorectal surgery: a study protocol for a randomised controlled trial.
BMJ Open
January 2025
Department of Anaesthesiology, China-Japan Friendship Hospital, Beijing, Beijing, China.
Introduction: Nociception monitoring has recently gained recognition as a valuable tool for guiding intraoperative opioid administration. Several nociception monitors, including the Surgical Pleth Index, the Index of Consciousness (IoC) and the Nociception Level, have been introduced for managing intraoperative analgesia. While these technologies show promise in initial applications, the effectiveness of IoC2 in guiding pain management during anaesthesia, particularly in elderly patients who require precise opioid use, remains unclear.
View Article and Find Full Text PDFHailey-Hailey disease successfully treated with naloxone: 2 case reports and Review of the literature on efficacy of opioid receptor antagonist in Hailey-Hailey disease patients.
J Dermatolog Treat
December 2025
Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China.
Background: Hailey-Hailey disease (HHD), a genetic blistering disease, is caused by a mutation in a calcium transporter protein in the Golgi apparatus encoded by the gene. Clinically, HHD is characterized by flaccid vesicles, blisters, erosions, fissures, and maceration mainly in intertriginous regions. Some patients remain refractory to conventional treatments.
View Article and Find Full Text PDFMindfulness Training vs Recovery Support for Opioid Use, Craving, and Anxiety During Buprenorphine Treatment: A Randomized Clinical Trial.
JAMA Netw Open
January 2025
Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Importance: During buprenorphine treatment for opioid use disorder (OUD), risk factors for opioid relapse or treatment dropout include comorbid substance use disorder, anxiety, or residual opioid craving. There is a need for a well-powered trial to evaluate virtually delivered groups, including both mindfulness and evidence-based approaches, to address these comorbidities during buprenorphine treatment.
Objective: To compare the effects of the Mindful Recovery Opioid Use Disorder Care Continuum (M-ROCC) vs active control among adults receiving buprenorphine for OUD.
Efficacy of prophylactic laxatives against opioid-induced constipation: retrospective propensity score matching analysis.
Support Care Cancer
January 2025
Department of Anesthesiology, School of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama-Shi, 641-8509, Japan.
Purpose: Opioid-induced constipation (OIC) is problematic for patients with cancer receiving opioid therapy. Some guidelines recommend initiating regular laxatives at the same time as opioid analgesics. However, the effectiveness of prophylactic laxatives on OIC has not been widely demonstrated.
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