Articles: pain.
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Reg Anesth Pain Med · Feb 2025
ReviewMachine learning research methods to predict postoperative pain and opioid use: a narrative review.
The use of machine learning to predict postoperative pain and opioid use has likely been catalyzed by the availability of complex patient-level data, computational and statistical advancements, the prevalence and impact of chronic postsurgical pain, and the persistence of the opioid crisis. The objectives of this narrative review were to identify and characterize methodological aspects of studies that have developed and/or tested machine learning algorithms to predict acute, subacute, or chronic pain or opioid use after any surgery and to propose considerations for future machine learning studies. Pairs of independent reviewers screened titles and abstracts of 280 PubMed-indexed articles and ultimately extracted data from 61 studies that met entry criteria. ⋯ We identified variability in sample size, number and type of predictors, and how outcome variables were defined. Patient-reported predictors were highlighted as particularly informative and important to include in such machine learning algorithms, where possible. We hope that findings from this review might inform future applications of machine learning that improve the performance and clinical utility of resultant machine learning algorithms.
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Reg Anesth Pain Med · Feb 2025
ReviewN-Methyl-D-aspartate receptor antagonists for the prevention of chronic postsurgical pain: a narrative review.
The N-methyl-D-aspartate receptor (NMDAR) has been linked to the development of chronic postsurgical pain (CPSP), defined as pain after surgery that does not resolve by 3 months. Once the combination of a painful stimulus and glutamate binding activates the NMDAR, calcium influx triggers signaling cascades that lead to processes like central sensitization and CPSP. Three of the most widely studied perioperative NMDAR antagonists include ketamine, magnesium, and methadone, with ketamine having garnered the greatest amount of attention. ⋯ Existing meta-analyses of ketamine for CPSP are inconsistent in their findings, and studies of magnesium and methadone are even more limited. Overall, the evidence supporting NMDAR antagonists for CPSP is weak and we recommend that future studies focus on high-risk patients and potentially include combinations of NMDAR antagonists administered together for the longest duration feasible. The results of ongoing trials could have a major influence on the overall direction of the evidence supporting NMDAR antagonists in preventing CPSP.
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Chronic pain after surgery, also known as chronic postsurgical pain (CPSP), is recognized as a significant public health issue with serious medical and economic consequences. Current research on CPSP underscores the significant roles of both peripheral and central sensitization in pain development and maintenance. Peripheral sensitization occurs at the site of injury, through the hyperexcitability of nerve fibers due to surgical damage and the release of inflammatory mediators. ⋯ These glial cells release substances that further increase neuronal excitability, maintaining the sensitized state and contributing to persistent pain. The activation of antinociceptive systems is required for the resolution of pain after surgery, and default in these systems may also be considered as an important component of CPSP. In this review, we will examine the clinical factors underlying CPSP in patients and the mechanisms previously established in preclinical models of CPSP that may explain how acute postoperative pain may transform into chronic pain in patients.
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Untreated or undertreated pain is well established as a significant problem, but unidentified pain is a distinct construct that still needs to be clearly modeled or fully described. This paper aims to develop a conceptual model of unidentified pain in humans with the goal of future development of an unidentified pain risk tool. A multi-phase process was employed consisting sequentially of 1) brainstorming followed by consensus building, 2) peer-review and publication of an integrative theoretical review protocol for "unidentified pain," 3) conduct of the integrative review, and 4) a repeated brainstorming session to identify areas of risk for unidentified pain to produce a conceptual model. ⋯ The development of this conceptual model will be used for future development and psychometric testing of a tool to recognize the risk for unidentified pain in humans. PERSPECTIVE: This focus article describes the development a conceptual model for the concept of unidentified pain in humans. This pain may occur in individuals who experience one or more interactive and cumulative hazards: cognition/communication problems, being alone, absence of a surrogate/proxy report, or presence of known painful conditions or treatments.
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Curr Opin Anaesthesiol · Feb 2025
ReviewPro's and con's of different blocks for postoperative analgesia after video-assisted thoracic surgery.
Although there are a lot of studies examining the effects of different blocks for postoperative analgesia after video-assisted thoracic surgery (VATS), the results are controversial. ⋯ All three blocks can be suggested for daily practice, the choice should be based on personal experience and preference of the anesthetist. Better studies are required for objective decision.