Ultrasound is an essential diagnostic tool in critically ill patients with extracorporeal membrane oxygenation (ECMO). With it, we can make an anatomical and functional (cardiac, pulmonary and vascular) evaluation which allows us to execute an adequate configuration, guides implantation, helps clinical monitorization and detects complications, facilitates withdrawal and complete post-implant evaluation. In patients with ECMO as respiratory support (veno-venous), thoracic ultrasound allows monitoring pulmonary illness evolution and echocardiography the evaluation of biventricular function, especially right ventricle function, and cardiac output to optimize oxygen transport.
View Article and Find Full Text PDFBackground: Currently, good prognosis and management of critically ill patients with COVID-19 are crucial for developing disease management guidelines and providing a viable healthcare system. We aimed to propose individual outcome prediction models based on binary logistic regression (BLR) and artificial neural network (ANN) analyses of data collected in the first 24 h of intensive care unit (ICU) admission for patients with COVID-19 infection. We also analysed different variables for ICU patients who survived and those who died.
View Article and Find Full Text PDFAm J Emerg Med
November 2014
Background: Prognostic systems are complex. So it is necessary to find tools, which are easy to use and have good calibration and discrimination.
Objectives: The objective of this study is to evaluate the usefulness of Killip, Thrombolysis In Myocardial Infarction (TIMI), and age to develop a new prognostic scale for patients with ST-elevation myocardial infarction (STEMI).
Objective: To analyse the influence on the prognosis of intensive care unit (ICU) patients with acute myocardial infarction (AMI): prognostic index score, Killip class, AMI site, thrombolysis and other variables that might improve prognostic capacity and functioning of the APACHE-II index.
Design: Cohort study using prospectively gathered ARIAM project data.
Setting: ICUs from 129 Spanish hospitals.