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
ReviewRecognizing pain phenotypes: biopsychosocial sources of variability in the transition to chronic postsurgical pain.
Chronic postsurgical pain (CPSP) is a cause of new chronic pain, with a wide range of reported incidence. Previous longitudinal studies suggest that development of CPSP may depend more on the constellation of risk factors around a patient (pre-existing pain phenotype) rather than on the extent of surgical injury itself. The biopsychosocial model of pain outlines a broad array of factors that modulate the severity, longevity, and impact of pain. ⋯ Early preoperative identification of a patient's pain phenotype allows estimation of their constellation of risk factors and may greatly enhance successful, personalized prevention of postoperative pain. Effective preoperative employment of behavioral interventions like cognitive-behavioral therapy, stress reduction, and physical and mental prehabilitation may particularly require knowledge of a patient's pain phenotype. Preoperative assessment of patients' pain phenotypes will not only inform high-quality personalized perioperative care clinically, but it will enable enriched testing of novel therapies in future scientific studies.
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Reg Anesth Pain Med · Feb 2025
ReviewEvidence for regional anesthesia in preventing chronic postsurgical pain.
Chronic postsurgical pain (CPSP) is a common adverse outcome following surgical procedures. Despite ongoing research, the risk factors and effective strategies for mitigating CPSP remain uncertain. Regional anesthesia is a potentially beneficial yet debated intervention for mitigating the risk of CPSP. ⋯ Techniques studied include wound infiltration, peripheral nerve blocks, fascial plane blocks, thoracic paravertebral blocks and epidural anesthesia. Current data indicate that epidural anesthesia might decrease CPSP risk following thoracotomy, wound infiltration may be effective after major breast surgery and cesarean delivery, and serratus anterior plane block or pectoralis/interpectoral plane blocks might be beneficial in breast surgery. However, the existing evidence is limited and marked by several constraints especially the multifactorial causes, underscoring the need for further research in this area.
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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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Scand J Trauma Resus · Feb 2025
Observational StudyPain assessment and management of adult patients in the Swedish EMS: a nationwide registry study.
Pain is a frequent reason for contacting the Emergency Medical Services (EMS), and effective pain management constitutes one of its cornerstones. The aims of this study have been: (a) to describe the prevalence of pain intensity ratings in EMS care of patients with pain-related conditions; (b) to describe pain treatment in the EMS setting in terms of drugs administered and the proportion of patients receiving analgesics and (c) to investigate the relationship between patients' self-reported pain intensity and vital signs. ⋯ This 2-year cohort study highlights significant deficiencies in recorded pain assessment and management in the Swedish EMS. Only 22.5% of the patients had their pain assessed with a validated scale, while 27.5% received analgesics, although pain-related conditions were a common reason for contacting the EMS. The findings indicate a lack of systematic pain assessment which puts many patients at risk of insufficient pain relief.