Articles: analgesics.
-
The rationale of adoption opioid-sparing anesthesia (OSA) is to achieve perioperative analgesia with a minimal amount of opioids combined with nonopioid adjuvants during and after surgery, namely multimodal anesthesia. The OSA approach was originally developed to overcome the known complications of opioid-based anesthesia (OA), and the present scoping review (ScR) aims at providing clinical evidence of the safety and efficacy of OSA with respect to OA. ⋯ The clinical implementation of OSA encompasses the perioperative use of nonopioid drugs and locoregional anesthesia techniques. The reviewed studies reported OSA as a feasible approach to reduce opioid-related complications with no impact on patient safety.
-
Pain is a major challenge for patients with rheumatoid arthritis (RA), with many people suffering chronic pain. Current RA management guidelines focus on assessing and reducing disease activity using disease-modifying anti-rheumatic drugs (DMARDs). Consequently, pain care is often suboptimal, with growing evidence that analgesics are widely prescribed to patients with RA, despite potential toxicities and limited evidence for efficacy. Our review provides an overview of pharmacological treatments for pain in patients with RA, summarising their efficacy and use. ⋯ In patients with active RA, DMARDs have efficacy at reducing pain, supporting the role of treat-to-target strategies. Despite limited evidence that analgesics improve pain in patients with RA, these medicines are widely prescribed. The reasons for this are unclear. We consider that closing this evidence-to-practice gap requires qualitative research exploring the drivers of this practice, high-quality trials of analgesic efficacy in contemporary RA populations, alongside an increased focus on pain management (including pharmacological and non-pharmacological options) within RA guidelines.
-
Curr Pain Headache Rep · Jan 2025
ReviewA Review of Leveraging Artificial Intelligence to Predict Persistent Postoperative Opioid Use and Opioid Use Disorder and its Ethical Considerations.
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. ⋯ 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. Several machine learning-based models have been described to predict an individual's propensity for opioid use disorder and opioid overdose. Natural language processing and large language model approaches have been described to detect opioid use disorder and persistent postsurgical opioid use from clinical notes. AI holds significant promise in enhancing the management of acute and chronic opioids, which may offer tools to help optimize dosing, predict addiction risks, and personalize pain management strategies. By harnessing the power of AI, healthcare providers can potentially improve patient outcomes, reduce the burden of opioid addiction, and contribute to solving the opioid crisis.
-
Intensive care medicine · Jan 2025
The association between pain, analgesia, and delirium among critically ill adults: a systematic review and meta-analysis.
We performed a systematic review with meta-analysis examining the relationship between pain or pain medications and delirium occurence, duration, and severity. ⋯ We observed an association between pain and incident delirium among critically ill adults. Exposure to morphine or fentanyl (but no other pain medications) was associated with increased risk of delirium occurrence.