Articles: analgesics.
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The management of peri-operative pain is one of the pillars of anaesthesia and is of particular importance in patients undergoing surgery for solid malignant tumours. Amongst several options, the most commonly employed analgesic regimens involve opioids, NSAIDs and regional anaesthesia techniques with different local anaesthetics. In recent years, several research reports have tried to establish a connection between peri-operative anaesthesia care and outcome after cancer surgery. ⋯ The reason for this might lie with the nature of tumour biology itself, and in the diversity of patient and tumour phenotypes. In a translational approach, future research should therefore concentrate on patient and tumour-related factors or biomarkers, which might either influence the tumour and its microenvironment or predict potential responses to interventions, including the choice of the analgesic. This might not only be relevant for the daily practice of clinical anaesthesia, but would also be of great importance for patients undergoing cancer surgery, who might be able to receive an individualised anaesthetic regimen based on their phenotypic profile.
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Meta Analysis
Cannabinoids for Acute Postoperative Pain Management: A Systematic Review and Meta-Analysis of Clinical Trials.
Poor acute postoperative pain control, coupled with the use of intravenous medications with a limited and unsafety efficacy spectrum, has led to new therapeutic alternative explorations to reduce adverse events while increasing its analgesic efficacy. There cannabinoids have been proposed as a useful control agent in post-surgical pain. Nevertheless, to date, there is no solid evidence to evaluate them. The current article sought to determine cannabinoids' effectiveness and safety in the aforementioned context. ⋯ The management of severe pain after surgery, and the use of intravenous drugs with limited and potentially unsafe effectiveness, has led to the exploration of new treatment options to minimize side effects while improving pain relief. Cannabinoids have been suggested as a potential solution for managing post-surgical pain, but there is currently insufficient evidence to assess their effectiveness. The purpose of this article was to evaluate the effectiveness and safety of cannabinoids in this context.
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Reg Anesth Pain Med · Feb 2025
ReviewTen years of transitional pain service research and practice: where are we and where do we go from here?
Chronic postsurgical pain (CPSP) is a prevalent yet unintended consequence of surgery with substantial burdens to the individual and their family, the healthcare system, and society at large. The present article briefly reviews the evidence for transitional pain services (TPSs) that have arisen in an effort to prevent and mange CPSP and persistent opioid use, and provides an update on recent novel risk factors for CPSP. Available evidence from one randomized controlled trial (RCT) and three non-randomized cohort studies suggests that TPS treatment is associated with better opioid use outcomes, including fewer opioid tablets prescribed at discharge, better opioid weaning results, a lower incidence of new-onset chronic opioid use, and lower consumption of opioids even at later time points up to 1 year after surgery. ⋯ While these preliminary studies are generally positive, large-scale, RCTs are needed to provide a more definitive picture of whether TPSs are effective in reducing opioid consumption and improving pain and mental health outcomes in the short and long term. With the expansion of TPSs across North America and globally, perioperative care focused on reducing the transition to pain chronicity has the potential to help millions of patients. With additional evidence from well-controlled RCTs, TPSs are well poised to continue to evolve and strengthen the role of multidisciplinary care teams in the immediate postdischarge period and beyond.
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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
ReviewRisk factors for persistent postoperative opioid use: an entity distinct from chronic postsurgical pain.
Despite a decline in opioid prescriptions over the past decade, patients commonly receive opioid analgesics as a treatment for postoperative pain in the USA. One complication that patients may experience after surgery is persistent postoperative opioid use (PPOU), or opioid use beyond the typical recovery period. Often defined as beyond 3 months postsurgery, PPOU is frequently conflated with chronic postsurgical pain (CPSP), where pain persists well after the expected healing time following surgery. ⋯ Despite the overlap of some factors, studies typically employ different frameworks when examining PPOU and CPSP, with a biopsychosocial model applied for CPSP and little emphasis on an individual's social environment employed for PPOU. Additionally, existing studies predominantly rely on retrospective insurance claims data, which may not capture the full scope of risk factors. To fill gaps in understanding, investigations may prospectively assess and analyze patient-reported outcomes, implement similar frameworks, and concurrently measure both conditions to advance the scientific understanding of PPOU and CPSP.