Introduction Sleep disordered breathing (SDB) symptoms are associated with increased rates of opioid-induced respiratory depression as well as enhanced nociception. Consequently, practitioners often withhold or administer lower intraoperative doses of opioids out of concern for postoperative respiratory depression. Therefore, SDB may be a critical determinant of analgesic requirement in the post-anesthesia care unit (PACU). We investigated whether preoperative SDB classification was independently associated with need for PACU analgesic intervention in a cross-sectional sample of 985 children who underwent elective, painful ambulatory surgical procedures. Methods Using prospectively collected data, children aged 4–17yr were grouped into two categories based on whether or not they had symptoms of SDB. Perioperative variables were compared between the exposed and control groups using Chi-squared test for categorical or t-test for continuous variables. Logistic regression analysis was used to assess the association between SDB and the odds of requiring PACU IV opioids. Results Children with preoperative SDB symptoms (N=325) compared with the reference group of children who did not have these symptoms had higher rates of PACU analgesic intervention (47.1% vs. 37.4%; p=0.004) and higher mean arousal pain scores (3.7±3.5 vs.1.9±2.9; p<0.001). In our primary multivariable logistic regression model adjusted for a number of variables, preoperative SDB symptoms was associated with a two-fold increased odds of receiving PACU intravenous opioid (OR = 2.01, 95%CI, 1.29–3.12; p=0.002). Conclusion These results suggest that preoperative SDB symptoms in children undergoing ambulatory surgery, exerts a significant influence on PACU pain behavior and analgesic requirement. Mechanisms underlying this enhanced pain experience deserve further elucidation.

Various equipment malfunctions of anesthesia gas delivery systems have been previously reported. Our profession increasingly uses technology as a means to prevent these errors. We report a case of a near-total anesthesia circuit obstruction that went undetected before the induction of anesthesia despite the use of automated machine check technology. This case highlights that automated machine check modules can fail to detect severe equipment failure and demonstrates how, even in this era of expanding technology, manual checks still remain essential components of safe care.