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Background: While increased surgical-provider volume has been associated with improved outcomes, research regarding volume-outcome relationships within high-volume institutions and the role of anaesthesiologists is limited. Further, the effect of anaesthesia-care-team composition remains understudied. This analysis aimed to identify the impact of anaesthesiologist and surgeon volume on adverse events after total joint arthroplasties.Methods: We retrospectively identified 40 437 patients who underwent total joint arthroplasties at a high-volume institution from 2005 to 2014. The main effects of interest were anaesthesiologist and surgeon volume and experience along with anaesthesia-care-team composition. Multivariable logistic regression models were used to evaluate three outcomes: any complication, cardiopulmonary complication, and length of stay (>5 days). Odds ratios (ORs) and 99.75% confidence intervals (CIs) were reported.Results: Across all three models, anaesthesiologist volume and experience, and anaesthesia-care-team composition were not significant predictors. Surgeon annual case volume >50 was associated with significantly reduced odds of any complication (annual case volume: 50-149; OR: 0.80; CI: 0.66-0.98) and prolonged length of stay (OR: 0.69; CI: 0.60-0.80). Surgeon experience >20 yr was associated with significantly reduced odds of prolonged length of stay (OR: 0.85; CI: 0.75-0.95).Conclusions: Anaesthesiologist volume and experience, and anaesthesia-care-team composition did not impact the odds of an adverse outcome, although a higher surgeon volume was associated with decreased odds of complications and prolonged length of stay. Further study is necessary to determine if these findings can be extrapolated to less specialised, lower volume surgical settings. [ABSTRACT FROM AUTHOR]

Background: The opioid epidemic is one of the most pressing public health crises in the USA. With fractures being amongst the most common reasons for a child to require surgical intervention and receive post-surgical pain management, characterisation of opioid prescription patterns and risk factors is critical. We hypothesised that the numbers of paediatric patients receiving opioids, or who developed persistent opioid use, are significant, and a number of risk factors for persistent opioid use could be identified.Methods: We conducted a retrospective population-based cohort study. National claims data from the Truven Health Analytics® MarketScan database were used to (i) characterise opioid prescription patterns and (ii) describe the epidemiology and risk factors for single use and persistent use of opioids amongst paediatric patients who underwent surgical intervention for fracture treatment.Results: Amongst 303 335 patients, 21.5% received at least one opioid prescription within 6 months after surgery, and 1671 (0.6%) developed persistent opioid use. Risk factors for persistent opioid use include older age; female sex; lower extremity trauma; surgeries involving the spine, rib cage, or head; closed fracture treatment; earlier surgery years; previous use of opioid; and higher comorbidity burden.Conclusions: Amongst a cohort of paediatric patients who underwent surgical fracture treatment, 21.5% filled at least one opioid prescription, and 0.6% (N=1671) filled at least one more opioid prescription between 3 and 6 months after surgery. Understanding risk factors related to persistent opioid use can help clinicians devise strategies to counter the development of persistent opioid use for paediatric patients. [ABSTRACT FROM AUTHOR]