Pain practice : the official journal of World Institute of Pain
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Artificial intelligence (AI) represents an exciting and evolving technology that is increasingly being utilized across pain medicine. Large language models (LLMs) are one type of AI that has become particularly popular. Currently, there is a paucity of literature analyzing the impact that AI may have on trainee education. As such, we sought to assess the benefits and pitfalls that AI may have on pain medicine trainee education. Given the rapidly increasing popularity of LLMs, we particularly assessed how these LLMs may promote and hinder trainee education through a pilot quality improvement project. ⋯ AI represents a continually evolving and promising modality to assist trainees pursuing a career in pain medicine. Still, limitations currently exist that may hinder their independent use in this setting. Future research exploring how AI may overcome these challenges is thus required. Until then, AI should be utilized as supplementary tool within pain medicine trainee education and with caution.
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Pain management in patients with complete spinal cord injury is complex. ⋯ The effectiveness of this approach may be attributed to its ability to modulate supraspinal pain processing, allowing for targeted relief of various pain mechanisms below the level of injury.
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A post-marketing surveillance was conducted to evaluate the safety and efficacy of the buprenorphine transdermal patch under actual clinical practice. ⋯ This study demonstrated the safety and efficacy of long-term administration of buprenorphine transdermal patches, suggesting that pain control is possible over the long term if attention is paid to ADRs in the early stages of administration.
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Review
Narrative review: Managing buprenorphine and opioid use disorder in the perioperative setting.
The opioid epidemic continues to have a staggering impact on millions of individuals and families across all socioeconomic levels and communities. Recent studies suggest high numbers of patients presenting for surgery with reported opioid misuse and/or opioid use disorder (OUD). Anesthesiologists often lack basic education to treat patients suffering with OUD or patients in recovery from this treatable disease. This manuscript will provide a review of the American Society of Anesthesiology and Pain Medicine Multisociety Working Group Practice Advisory recommendations on existing OUD treatment barriers and perioperative management best practices; it will also demonstrate the benefits that greater involvement of the anesthesiologist can have in managing patients with OUD perioperatively.
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Energy-reducing spinal cord stimulation (SCS) approaches have the potential to impact patient experience with rechargeable and non-rechargeable SCS devices through reducing device recharge time or enhancing device longevity. This prospective, multi-center study evaluated the safety, effectiveness, and actual energy usage of differential target multiplexed (DTM) endurance therapy, a reduced energy DTM SCS derivative. ⋯ The use of DTM endurance SCS therapy in this study resulted in reductions in pain relief through 12 months, demonstrating that energy-reducing stimulation patterns can provide clinical benefit. Clinically effective, reduced energy SCS derivatives have the potential to impact patient experience through either reduced recharge requirements or increased device longevity.