Regional Anesthesia and Pain Medicine最新文献

{"title":"Innovations in acute and chronic pain biomarkers: enhancing diagnosis and personalized therapy.","authors":"Sean Mackey, Nima Aghaeepour, Brice Gaudilliere, Ming-Chih Kao, Merve Kaptan, Edward Lannon, Dario Pfyffer, Kenneth Weber","doi":"10.1136/rapm-2024-106030","DOIUrl":"https://doi.org/10.1136/rapm-2024-106030","url":null,"abstract":"<p><p>Pain affects millions worldwide, posing significant challenges in diagnosis and treatment. Despite advances in understanding pain mechanisms, there remains a critical need for validated biomarkers to enhance diagnosis, prognostication, and personalized therapy. This review synthesizes recent advancements in identifying and validating acute and chronic pain biomarkers, including imaging, molecular, sensory, and neurophysiological approaches. We emphasize the emergence of composite, multimodal strategies that integrate psychosocial factors to improve the precision and applicability of biomarkers in chronic pain management. Neuroimaging techniques like MRI and positron emission tomography provide insights into structural and functional abnormalities related to pain, while electrophysiological methods like electroencepholography and magnetoencepholography assess dysfunctional processing in the pain neuroaxis. Molecular biomarkers, including cytokines, proteomics, and metabolites, offer diagnostic and prognostic potential, though extensive validation is needed. Integrating these biomarkers with psychosocial factors into clinical practice can revolutionize pain management by enabling personalized treatment strategies, improving patient outcomes, and potentially reducing healthcare costs. Future directions include the development of composite biomarker signatures, advances in artificial intelligence, and biomarker signature integration into clinical decision support systems. Rigorous validation and standardization efforts are also necessary to ensure these biomarkers are clinically useful. Large-scale collaborative research will be vital to driving progress in this field and implementing these biomarkers in clinical practice. This comprehensive review highlights the potential of biomarkers to transform acute and chronic pain management, offering hope for improved diagnosis, treatment personalization, and patient outcomes.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"110-120"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic factors of chronic postsurgical pain in children and adolescents: a systematic review and meta-analysis.","authors":"Brittany N Rosenbloom, Simona Denise Frederiksen, Vienna Wang, Christine S Park, Grace Gordon, Gurpreet Brar, Nivez Rasic, Jennifer N Stinson, Kathryn A Birnie, Jennifer A Rabbitts","doi":"10.1136/rapm-2024-105696","DOIUrl":"10.1136/rapm-2024-105696","url":null,"abstract":"<p><strong>Background: </strong>Approximately 28% of children and adolescents undergoing major surgery develop chronic postsurgical pain (CPSP; pain persisting>3 months). A previous review attempted to investigate biopsychosocial prognostic factors for pediatric CPSP; however, due to lack of data, no meta-analytic techniques were employed. Since that review, numerous studies have investigated risk/protective factors that fall within an Interpersonal Fear Avoidance Model for CPSP, thus warranting a reinvestigation of prognostic factors.</p><p><strong>Objective: </strong>This systematic review and meta-analysis aimed to examine prognostic factors, measurement tools applied, and their effect on the development of CPSP.</p><p><strong>Evidence review: </strong>Prospective, observational studies examining prognostic factors of pediatric CPSP using validated self-report measures were included. 4884 unique publications were screened and 15 met inclusion criteria.</p><p><strong>Findings: </strong>The pooled effect size for the association between presurgical child pain intensity and the presence of child CPSP was significant, OR=0.540 (95% CI=0.184 to 0.894). Child anxiety, child pain-related anxiety, and parent pain catastrophizing were not significant prognostic factors for child CPSP. Using Grading of Recommendations, Assessment, Development, and Evaluation, the certainty in prognostic estimates was moderate. Risk of bias using Quality in Prognostic Study tool ranged from low to moderate.</p><p><strong>Conclusions: </strong>Presurgical pain was the only presurgical risk factor at the meta-analytic level that significantly predicted pediatric CPSP, highlighting the importance of prioritizing pain management throughout the perioperative experience, starting before surgery. Depressive symptoms and sleep disturbance were the two potential risk/protective factors that were unable to be assessed due to insufficient data or use of an unvalidated measure indicating a critical need for future research.</p><p><strong>Prospero registration number: </strong>CRD42022306340.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"144-152"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11804872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chronic postsurgical pain and transitional pain services: a narrative review highlighting European perspectives.","authors":"Eleni Moka, José Alejandro Aguirre, Axel R Sauter, Patricia Lavand'homme","doi":"10.1136/rapm-2024-105614","DOIUrl":"https://doi.org/10.1136/rapm-2024-105614","url":null,"abstract":"<p><strong>Background/importance: </strong>Chronic postsurgical pain (CPSP) is a significant, often debilitating outcome of surgery, impacting patients' quality of life and placing a substantial burden on healthcare systems worldwide. CPSP (pain persisting for more than 3 months postsurgery) leads to both physical and psychological distress. Recognized as a distinct chronic pain entity in International Classification of Diseases, 11th Revision, CPSP enables better reporting and improved management strategies. Despite advancements in surgical care, CPSP remains prevalent, affecting 5%-85% of patients, with higher rates following thoracotomies, amputations, mastectomies and joint replacements.</p><p><strong>Objective: </strong>The acute to chronic pain transition involves complex interactions between peripheral and central mechanisms, with central sensitization playing a key role. Identifying high-risk patients is crucial for prevention, with factors such as surgical type, nerve injury, neuropathic elements in acute postoperative pain, and psychosocial conditions being significant contributors.</p><p><strong>Evidence review: </strong>Current pain management strategies, including multimodal therapy and regional anesthesia, show limited effectiveness in preventing CPSP. Neuromodulation interventions, though promising, are not yet established as preventive modalities.</p><p><strong>Findings: </strong>Transitional pain services (TPSs) offer a comprehensive, multidisciplinary approach to managing CPSP and reducing opioid dependence, addressing both physical and psychosocial aspects of functional recovery. While promising results have been seen in Canada and Finland, TPSs are not yet widely implemented in Europe. There is also growing interest in pain biomarkers, through initiatives such as the A2CPS program, aiming to improve CPSP prediction and develop targeted interventions.</p><p><strong>Conclusions: </strong>Future research should focus on large-scale studies integrating various factors to facilitate CPSP prediction, refine prevention strategies and reduce its long-term impact.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"205-212"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evidence for regional anesthesia in preventing chronic postsurgical pain.","authors":"Hesham Elsharkawy, J David Clark, Kariem El-Boghdadly","doi":"10.1136/rapm-2024-105611","DOIUrl":"https://doi.org/10.1136/rapm-2024-105611","url":null,"abstract":"<p><p>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. This review will delve into the mechanistic aspects of regional anesthesia and critically assess the current literature to provide a thorough understanding of its role and effectiveness. The incidence and severity of CPSP are linked to nerve damage, neuroplastic changes and immunological responses. Although numerous mechanisms contributing to CPSP have been identified, translational research is sparse, and findings are often inconsistent. Evidence suggests that regional anesthetic techniques could have a role in reducing CPSP risk across various clinical scenarios. 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.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"153-159"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning research methods to predict postoperative pain and opioid use: a narrative review.","authors":"Dale J Langford, Julia F Reichel, Haoyan Zhong, Benjamin H Basseri, Marc P Koch, Ramana Kolady, Jiabin Liu, Alexandra Sideris, Robert H Dworkin, Jashvant Poeran, Christopher L Wu","doi":"10.1136/rapm-2024-105603","DOIUrl":"https://doi.org/10.1136/rapm-2024-105603","url":null,"abstract":"<p><p>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 observed a marked increase in the number of relevant publications over time. Studies most commonly focused on machine learning algorithms to predict chronic postsurgical pain or opioid use, using real-world data from patients undergoing orthopedic surgery. 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.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"102-109"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanisms of chronic postsurgical pain.","authors":"Adrien Tassou, Philippe Richebe, Cyril Rivat","doi":"10.1136/rapm-2024-105964","DOIUrl":"https://doi.org/10.1136/rapm-2024-105964","url":null,"abstract":"<p><p>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. This leads to increased expression of pronociceptive ion channels and receptors, such as transient receptor potential and acid-sensing ion channels (ASIC), enhancing pain signal transmission. Central sensitization involves long-term changes in the central nervous system, particularly in the spinal cord. In this context, sensitized spinal neurons become more responsive to pain signals, driven by continuous nociceptive input from the periphery, which results in an enhanced pain response characterized by hyperalgesia and/or allodynia. Key players in this process include N-methyl-D-aspartate receptor and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors, along with proinflammatory cytokines and chemokines released by activated glia. 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.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"77-85"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a brighter future: transforming care for children with chronic postsurgical pain.","authors":"Karen Boretsky, Michelle S Kars","doi":"10.1136/rapm-2024-105600","DOIUrl":"https://doi.org/10.1136/rapm-2024-105600","url":null,"abstract":"","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":"50 2","pages":"129-131"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global estimates of prevalence of chronic painful neuropathy among patients with chemotherapy-induced peripheral neuropathy: systematic review and meta-analysis of data from 28 countries, 2000-24.","authors":"Ryan S D'Souza, Chandan Saini, Nasir Hussain, Saba Javed, Larry Prokop, Yeng F Her","doi":"10.1136/rapm-2024-106229","DOIUrl":"10.1136/rapm-2024-106229","url":null,"abstract":"<p><strong>Introduction: </strong>Although the prevalence of chemotherapy-induced peripheral neuropathy (CIPN) has been reported, the proportion of patients with CIPN who report chronic painful neuropathy remains poorly understood, despite its significant impact on patients' quality of life and treatment outcomes.</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The primary outcome was the pooled prevalence of chronic (≥3 months) painful CIPN among patients diagnosed with CIPN. Estimates from each study were transformed using double arcsine transformation and pooled in a meta-analysis using an inverse variance heterogeneity model. Subgroup analysis was conducted based on geographical region, sex, chemotherapy regimen, primary cancer type, and funding source; meta-regression analysis was conducted based on study design, human development index (HDI), and publication year.</p><p><strong>Results: </strong>77 studies from 28 countries, encompassing 10 962 patients with CIPN, were included. Among patients diagnosed with CIPN, the pooled prevalence of those reporting chronic painful CIPN was estimated at 41.22% (95% CI 32.40 to 50.19; 95% prediction interval 23.71 to 61.28). Substantial heterogeneity was observed across studies (<i>I²</i>=95.27%; 95% CI for <i>I²</i> 94.58 to 95.86). Subgroup analysis revealed that patients treated with platinum based agents and taxanes had the highest prevalence of chronic painful CIPN (40.44% and 38.35%, respectively), and among primary cancers, those with lung cancer reported the highest prevalence of chronic painful CIPN (60.26%). Study design, HDI, and publication year were non-significant moderators of prevalence estimates. Based on our GRADE (Grading of Recommendations, Assessment, Development and Evaluation) assessment, the certainty of evidence was considered very low.</p><p><strong>Conclusion: </strong>This study provides the first comprehensive global estimate of the prevalence of chronic painful CIPN, highlighting its significant burden on patients worldwide. The variation in prevalence across geographical regions, chemotherapy regimens, and primary cancers underscores the need for tailored pain management strategies and further research to address potential disparities.</p><p><strong>Trial registration: </strong>PROSPERO CRD42024579459.</p>","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outcome measures in studies on regional anesthesia.","authors":"Renee Jc van den Broek, Jonne Mc Postema, Joseph Sha Koopman, R Arthur Bouwman, Barbara Jb Versyck","doi":"10.1136/rapm-2025-106460","DOIUrl":"https://doi.org/10.1136/rapm-2025-106460","url":null,"abstract":"","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is the non-inferiority conclusion true?","authors":"Soleil S Schutte","doi":"10.1136/rapm-2025-106430","DOIUrl":"https://doi.org/10.1136/rapm-2025-106430","url":null,"abstract":"","PeriodicalId":54503,"journal":{"name":"Regional Anesthesia and Pain Medicine","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}