Sugammadex Reversal of a Large Subcutaneous Depot of Rocuronium in a Dialysis Patient: A Case Report.

Sugammadex is a modified gamma cyclodextrin that encapsulates rocuronium. We report the successful use of sugammadex in the management of an elderly man with end-stage renal failure who sustained an infiltration of subcutaneous rocuronium during rapid sequence induction of general anesthesia. Given the erratic absorption of subcutaneous rocuronium from the tissue, sugammadex was chosen to reverse the neuromuscular block at the end of the procedure. This report demonstrates the efficacy of sugammadex to reverse neuromuscular block in elderly patients with poor renal function. Moreover, the duration of action for sugammadex was sufficient to neutralize the ongoing absorption of subcutaneous rocuronium.

Falls From the O.R. or Procedure Table.

Patient safety secured by constant vigilance remains a primary responsibility of every anesthesia professional. Although significant attention has been focused on patient falls occurring before and after surgery, a potentially catastrophic complication is when patients fall off an operating room or procedure table during anesthesia care. Because such events are (fortunately) uncommon, and because very little information is published in our literature, we queried 2 independent closed claims databases (the American Society of Anesthesiologists Closed Claims Project and the secure records of a private, anesthesia specialty-specific liability insurer) for information. We acquired documentation of patient events where a fall occurred during anesthesia care, noting the surrounding conditions of the provider, the patient, and the environment at the time of the event. We identified 21 claims (1.2% of cases) from the American Society of Anesthesiologists Closed Claims Project, while information from a private liability insurer identified falls in only 0.07% of cases. The percentage of these patients under general, regional, or monitored anesthesia care anesthesia was 71.5%, 19.5%, and 9.5%, respectively. To educate personnel about these uncommon events, we summarized this cohort with illustrative examples in a series of mini-case reports, noting that both inpatients and outpatients undergoing a broad array of procedures with various anesthetic techniques within and outside operating rooms may be vulnerable to patient falls. Based on detailed reports, we created 2 supplementary videos to further illuminate some of the unique mechanisms by which these events and their resulting injuries occur. When such information was available, we also noted the associated liability costs of defending and settling malpractice claims associated with these events. Our goal is to inform anesthesia and perioperative personnel about the common patient, provider, and environmental risk factors that appear to contribute to these mishaps, and suggest key strategies to mitigate the risks.

Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).

INTRODUCTION: Intensive Care Unit (ICU) risk prediction models are used to compare outcomes for quality improvement initiatives, benchmarking, and research. While such models provide robust tools in high-income countries, an ICU risk prediction model has not been validated in a low-income country where ICU population characteristics are different from those in high-income countries, and where laboratory-based patient data are often unavailable. We sought to validate the Mortality Probability Admission Model, version III (MPM0-III) in two public ICUs in Rwanda and to develop a new Rwanda Mortality Probability Model (R-MPM) for use in low-income countries. METHODS: We prospectively collected data on all adult patients admitted to Rwanda's two public ICUs between August 19, 2013 and October 6, 2014. We described demographic and presenting characteristics and outcomes. We assessed the discrimination and calibration of the MPM0-III model. Using stepwise selection, we developed a new logistic model for risk prediction, the R-MPM, and used bootstrapping techniques to test for optimism in the model. RESULTS: Among 427 consecutive adults, the median age was 34 (IQR 25-47) years and mortality was 48.7%. Mechanical ventilation was initiated for 85.3%, and 41.9% received vasopressors. The MPM0-III predicted mortality with area under the receiver operating characteristic curve of 0.72 and Hosmer-Lemeshow chi-square statistic p = 0.024. We developed a new model using five variables: age, suspected or confirmed infection within 24 hours of ICU admission, hypotension or shock as a reason for ICU admission, Glasgow Coma Scale score at ICU admission, and heart rate at ICU admission. Using these five variables, the R-MPM predicted outcomes with area under the ROC curve of 0.81 with 95% confidence interval of (0.77, 0.86), and Hosmer-Lemeshow chi-square statistic p = 0.154. CONCLUSIONS: The MPM0-III has modest ability to predict mortality in a population of Rwandan ICU patients. The R-MPM is an alternative risk prediction model with fewer variables and better predictive power. If validated in other critically ill patients in a broad range of settings, the model has the potential to improve the reliability of comparisons used for critical care research and quality improvement initiatives in low-income countries.