Background: Studies conducted in adults undergoing surgery reported a beneficial effect of oral melatonin administered before surgery. There is a paucity of such data in children undergoing anesthesia and surgery. Methods: Children undergoing surgery were randomly assigned to receive preoperatively oral midazolam 0.5 mg/kg or oral melatonin 0.05 mg/kg, 0.2 mg/kg, or 0.4 mg/kg. The primary outcome of the study was preoperative anxiety (Yale Preoperative Anxiety Scale). The secondary outcomes were the children's compliance with induction (Induction Compliance Checklist), emergence behavior (Keegan scale), and parental anxiety (State-Trait Anxiety Inventory). Results: Repeated measures ANOVA showed that children who received melatonin at any of the three doses were more anxious compared with children who received midazolam (P < 0.001). Parental anxiety did not differ on the basis of the experimental condition (P = ns). The melatonin groups showed a dose-response effect on emergence behavior. Children who received melatonin developed less emergence delirium compared with those who received midazolam (P < 0.05), and the effect was dose related; the incidence after 0.05 mg/kg melatonin was 25.0%, incidence after 0.2 mg/kg melatonin was 8.3%, and incidence after 0.4 mg/kg melatonin was 5.4%. Conclusions: Midazolam is more effective than melatonin in reducing children's anxiety at induction of anesthesia. Melatonin showed a direct dose-dependent effect on emergence delirium.

Introduction: Perioperative goal-directed therapy (PGDT) may improve postoperative outcome in high-risk surgery patients but its adoption has been slow. In 2012, we initiated a performance improvement (PI) project focusing on the implementation of PGDT during high-risk abdominal surgeries. The objective of the present study was to evaluate the effectiveness of this intervention. Methods: This is a historical prospective quality improvement study. The goal of this initiative was to standardize the way fluid management and hemodynamic optimization are conducted during high-risk abdominal surgery in the Departments of Anesthesiology and Surgery at the University of California Irvine. For fluid management, the protocol consisted in standardized baseline crystalloid administration of 3 ml/kg/hour and any additional boluses based on PGDT. The impact of the intervention was assessed on the length of stay in the hospital (LOS) and post-operative complications (NSQIP database). Results: In the 1 year pre- and post-implementation periods, 128 and 202 patients were included. The average volume of fluid administered during the case was 9.9 (7.1–13.0) ml/kg/hour in the pre-implementation period and 6.6 (4.7–9.5) ml/kg/hour in the post-implementation period (p < 0.01). LOS decreased from 10 (6–16) days to 7 (5–11) days (p = 0.0001). Based on the multiple linear regression analysis, the estimated coefficient for intervention was 0.203 (SE = 0.054, p = 0.0002) indicating that, with the other conditions being held the same, introducing intervention reduced LOS by 18 % (95 % confidence interval 9–27 %). The incidence of NSQIP complications decreased from 39 % to 25 % (p = 0.04). Conclusion: These results suggest that the implementation of a PI program focusing on the implementation of PGDT can transform fluid administration patterns and improve postoperative outcome in patients undergoing high-risk abdominal surgeries. Trial registration: Clinicaltrials.gov NCT02057653. Registered 17 December 2013.

Introduction: Dynamic predictors of fluid responsiveness have made automated management of fluid resuscitation more practical. We present initial simulation data for a novel closed-loop fluid-management algorithm (LIR, Learning Intravenous Resuscitator). Methods: The performance of the closed-loop algorithm was tested in three phases by using a patient simulator including a pulse-pressure variation output. In the first phase, LIR was tested in three different hemorrhage scenarios and compared with no management. In the second phase, we compared LIR with 20 practicing anesthesiologists for the management of a simulated hemorrhage scenario. In the third phase, LIR was tested under conditions of noise and artifact in the dynamic predictor. Results: In the first phase, we observed a significant difference between the unmanaged and the LIR groups in moderate to large hemorrhages in heart rate (76 ± 8 versus 141 ± 29 beats/min), mean arterial pressure (91 ± 6 versus 59 ± 26 mm Hg), and cardiac output (CO; (6.4 ± 0.9 versus 3.2 ± 1.8 L/min) (P < 0.005 for all comparisons). In the second phase, LIR intervened significantly earlier than the practitioners (16.0 ± 1.3 minutes versus 21.5 ± 5.6 minutes; P < 0.05) and gave more total fluid (2,675 ± 244 ml versus 1,968 ± 644 ml; P < 0.05). The mean CO was higher in the LIR group than in the practitioner group (5.9 ± 0.2 versus 5.2 ± 0.6 L/min; P < 0.05). Finally, in the third phase, despite the addition of noise to the pulse-pressure variation value, no significant difference was found across conditions in mean, final, or minimum CO. Conclusion: These data demonstrate that LIR is an effective volumetric resuscitator in simulated hemorrhage scenarios and improved physician management of the simulated hemorrhages.

Background: Burnout is common among physicians and has detrimental effects on patient care and physician health. Recent editorials call attention to perfectionism in medicine; however, no studies to date have examined the effect of perfectionism on burnout in physicians practicing in the United States. This study examined associations among demographics, perfectionism and personality traits, and burnout among practicing physicians.Methods: This cross-sectional study included general pediatric and pediatric sub-specialist physicians. Out of the 152 physicians contacted, 69 enrolled (Mean_age = 44.16 ± 9.98; 61% female). Emotional exhaustion, depersonalization, and personal accomplishment burnout were assessed via the Maslach Burnout Inventory. Validated instruments were used to measure personality and perfectionism. Data were analyzed using linear regression models.Results: Across physicians assessed, 42% reported either high emotional exhaustion burnout or depersonalization burnout. High self-critical perfectionism uniquely predicted both high emotional exhaustion burnout (B = 0.55, 95%CI 0.25–0.85) and depersonalization burnout (B = 0.18, 95%CI 0.05–0.31). Low conscientiousness (B = -6.12; 95%CI, -10.95- -1.28) predicted higher emotional exhaustion burnout and low agreeableness (B = -3.20, 95%CI -5.93- -0.46) predicted higher depersonalization burnout.Conclusions: Perfectionism is understudied among physicians and the current findings suggest that addressing system and individual-level factors that encourage perfectionism is warranted and may reduce risk for physician burnout.