RESUMEN
Clinical simulation in Intensive Care Medicine is a crucial tool to strengthen patient safety. It focuses on the complexity of the Intensive Care Unit, where challenging clinical situations require rapid decision making and the use of invasive techniques that can increase the risk of errors and compromise safety. Clinical simulation, by mimicking clinical contexts, is presented as essential for developing technical and non-technical skills and enhancing teamwork in a safe environment, without harm to the patient. in situ simulation is a valuable approach to practice in realistic environments and to address latent security threats. Other simulation methods as virtual reality and tele-simulation are gaining more and more acceptance. Herein, we provide current data on the clinical utility of clinical simulation related to improved safety in the practice of techniques and procedures, as well as improvements of teamwork performance and outcomes. Finally, we propose the needs for future research.
RESUMEN
OBJECTIVES: Patients with COVID-19-associated acute respiratory distress syndrome (ARDS) have a high risk for developing acute kidney injury (AKI) which is associated with an increased risk of death and persistent renal failure. Early prediction of AKI is crucial in order to implement preventive strategies. The purpose of this study was to investigate the predictive performance of tissue inhibitor of metalloproteinases 2 and insulin like growth factor binding protein 7 (TIMP-2) × (IGFBP7) in critically ill patients with COVID-19-associated ARDS. DESIGN: Multicenter, prospective, observational study. SETTING: Twelve centers across Europe and United Kingdom. PATIENTS: Patients with moderate or severe COVID-19-associated ARDS were included and serial measurements of (TIMP-2) × (IGFBP7) were performed. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary endpoint was the development of moderate or severe AKI according to the Kidney Disease: Improving Global Outcomes definition. Three hundred patients were available for the primary analysis, and 39 met the primary endpoint. At enrollment, urinary (TIMP-2) × (IGFBP7) had high predictive value for the primary endpoint with an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.84-0.93). (TIMP-2) × (IGFBP7) was significantly higher in endpoint-positive patients at enrollment and at 12 hours. CONCLUSIONS: Urinary (TIMP-2) × (IGFBP7) predicts the occurrence of AKI in critically ill patients with COVID-19-associated ARDS.
