Guideline for Children With Cancer Receiving General Anesthesia for Procedures and Imaging.

Children with cancer and those undergoing hematopoietic stem cell transplantation frequently require anesthesia for imaging as well as diagnostic and therapeutic procedures from diagnosis through follow-up. Due to their underlying disease and side effects of chemotherapy and radiation, they are at risk for complications during this time, yet no published guideline exists for preanesthesia preparation. A comprehensive literature review served as the basis for discussions among our multidisciplinary panel of oncologists, anesthesiologists, nurse practitioners, clinical pharmacists, pediatric psychologists, surgeons and child life specialists at the Children's Hospital of Philadelphia. Due to limited literature available, this panel created an expert consensus guideline addressing anesthesia preparation for this population.

Addressing the variation of post-surgical inpatient census with computer simulation.

OBJECTIVE: This study describes the development of a Discrete Event Simulation (DES) of a large pediatric perioperative department, and its use to compare the effectiveness of increasing the number of post-surgical inpatient beds vs. implementing a new discharge strategy on the proportion of patients admitted to the surgical unit to recover. MATERIALS AND METHODS: A DES of the system was developed and simulated data were compared with 1 year of inpatient data to establish baseline validity. Ten years of simulated data generated by the baseline simulation (control) was compared to 10 years of simulated data generated by the simulation for the experimental scenarios. Outcome and validation measures include percentage of patients recovering in post-surgical beds vs. "off floor" in medical beds, and daily census of inpatient volumes. RESULTS: The proportion of patients admitted to the surgical inpatient unit rose from 79.0% (95% CI, 77.9-80.1%) to 89.4% (95% CI, 88.7-90.0%) in the discharge strategy scenario, and to 94.2% (95% CI, 93.5-95.0%) in the additional bed scenario. The daily mean number of patients admitted to medical beds fell from 9.3 ± 5.9 (mean ± SD) to 4.9 ± 4.5 in the discharge scenario, and to 2.4 ± 3.2 in the additional bed scenario. DISCUSSION: Every hospital is tasked with placing the right patient in the right bed at the right time. Appropriately validated DES models can provide important insight into system dynamics. No significant variation was found between the baseline simulation and real-world data. This allows us to draw conclusions about the ramifications of changes to system capacity or discharge policy, thus meeting desired system performance measures.

Determining optimum operating room utilization.

UNLABELLED: Economic considerations suggest that it is desirable to keep operating rooms fully used when staffed, but the optimum utilization of an operating room (OR) is not known. We created a simulation of an OR to define optimum utilization. We set operational goals of having cases start within 15 min of the scheduled time and of having the cases end no more than 15 min past the scheduled end of the day. Within these goals, a utilization of 85% to 90% is the highest that can be achieved without delay or running late. Increasing the variability of case duration decreases the utilization that can be achieved within these targets. IMPLICATIONS: Using a simulated operating room (OR), the authors demonstrate that OR utilization higher than 85% to 90% leads to patient delays and staff overtime. Increased efficiency of an OR comes at a cost of patient convenience.

Rapacuronium and the risk of bronchospasm in pediatric patients.

UNLABELLED: We conducted this study to determine the risk factors for the development of bronchospasm after the administration of rapacuronium and to determine if children with bronchospasm on induction of anesthesia were more likely to have received rapacuronium compared with other muscle relaxants. In a retrospective cohort study, all anesthetic records in which rapacuronium was administered were reviewed to determine which patients developed bronchospasm during induction of anesthesia. Two-hundred-eighty-seven patients were identified, of whom 12 (4.2%; 95% confidence interval [CI], 2.2%--7.2%) developed bronchospasm during induction of anesthesia. Significant risk factors for the development of bronchospasm with administration of rapacuronium included rapid sequence induction (relative risk [RR], 17.9; 95% CI, 2.9--infinity) and prior history of reactive airways disease (RR, 4.6; 95% CI, 1.5--14.3). In a case-control study, all cases of bronchospasm during induction of anesthesia in the 5-mo time period that rapacuronium was available for clinical use were identified. Aside from the 12 cases of bronchospasm with rapacuronium, 11 additional cases of bronchospasm were associated with the use of other muscle relaxants. Four controls were randomly selected for each of the 23 cases of bronchospasm. Children with bronchospasm during induction of anesthesia were several times more likely (odds ratio, 10.1; 95% CI, 3.5--28.8) for having received rapacuronium compared with other muscle relaxants. IMPLICATIONS: In a retrospective cohort study, significant risk factors for the development of bronchospasm with the administration of rapacuronium on induction of anesthesia included rapid sequence induction and prior history of reactive airways disease. In a case-control study, children with bronchospasm during induction of anesthesia were several times more likely to have received rapacuronium compared with other muscle relaxants.