Articles: opioid-analgesics.
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The opioid crisis remains a major public health concern. In ambulatory surgery, persistent postoperative opioid use is poorly described and temporal trends are unknown. A population-based retrospective cohort study was undertaken in Ontario, Canada using routinely collected administrative data for adults undergoing ambulatory surgery between 1 January 2013 and 31 December 2017. ⋯ The time series model demonstrated a small but significant trend towards decreasing persistent postoperative opioid use over time (adjusted percentage change per year -0.51%, 95%CI -0.83 to -0.19%, p = 0.003). More than 10% of patients who underwent ambulatory surgery experienced persistent postoperative opioid use; however, there was a temporal trend towards a reduction in persistent opioid use after surgery. Future studies are needed that focus on interventions which reduce persistent postoperative opioid use.
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Reg Anesth Pain Med · Feb 2023
Reduced BDNF expression in the auditory cortex contributed to neonatal pain-induced hearing impairment and dendritic pruning deficiency in mice.
Procedural pain in neonates is associated with impaired neurodevelopment. Whether hearing development is impaired, however, remains unknown. This study examined potential cause-and-effect relationship between neonatal pain and subsequent hearing loss in mice. ⋯ Chronic pain during the neonatal period resulted in impaired hearing in adulthood in mice, possibly via the brain-derived neurotrophic factor signaling pathway and dendritic spine pruning deficiency in auditory cortex.
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Retrospective administrative database review. ⋯ Most SC Medicaid patients undergoing lumbar elective lumbar spine surgery were using opioids preoperatively and continued long-term use postoperatively at a higher rate than previously reported databases. Preoperative and perioperative intake, degenerative disk disease, multiple prescribers, depression, and concomitant medications were significant risk factors.
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J Clin Monit Comput · Feb 2023
Evaluation of machine learning models as decision aids for anesthesiologists.
Machine Learning (ML) models have been developed to predict perioperative clinical parameters. The objective of this study was to determine if ML models can serve as decision aids to improve anesthesiologists' prediction of peak intraoperative glucose values and postoperative opioid requirements. A web-based tool was used to present actual surgical case and patient information to 10 practicing anesthesiologists. ⋯ Feedback questionnaire responses revealed that the anesthesiologist primarily used the ML estimates as reference to modify their clinical judgement. ML models can improve anesthesiologists' estimation of clinical parameters. ML predictions primarily served as reference information that modified an anesthesiologist's clinical estimate.
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Observational Study
Predictors of Long-Term Opioid Use Following Hospitalization for Traumatic Injury in a Racially and Ethnically Diverse Population: A 12-month Prospective Observational Study.
Long-term prescription opioid use is a significant risk factor for opioid morbidity and mortality, and severe traumatic injury is an important initiation point for prescription opioid use. This study examines predictors of long-term prescription opioid use among a racially and ethnically diverse population of patients hospitalized for traumatic injury. ⋯ Providers could consider screening for past use of prescription pain relievers and post-traumatic stress disorder before hospital discharge to identify patients who might benefit from additional resources and support. However, providers should ensure that these patients' pain management needs are still being met and avoid abrupt discontinuation of prescription opioid use among those with a history of long-term use.