Regional anesthesia and pain medicine
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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
Review Meta AnalysisPrevalence of and recommendation for measuring chronic postsurgical pain in children: an updated systematic review and meta-analysis.
According to the prior 2017 review (Rabbitts et al), approximately 20% of children and adolescents develop chronic postsurgical pain (CPSP; ie, pain persisting >3 months after surgery) after major surgeries, which is associated with adverse functional and psychological consequences. A major barrier was that definitions of CPSP applied were highly variable. Since that prior review was conducted (n=4 studies in meta-analysis), numerous relevant studies have been published warranting an update. ⋯ CRD42022306340.
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Reg Anesth Pain Med · Feb 2025
Review Meta AnalysisPrognostic factors of chronic postsurgical pain in children and adolescents: a systematic review and meta-analysis.
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. ⋯ CRD42022306340.