Objectives: Significant practice variation exists in the amount of resuscitative IV fluid given to patients with sepsis. Current research suggests equipoise between a tightly restrictive or more liberal strategy but data is lacking on a wider range of resuscitation practices. We sought to examine the relationship between a wide range of fluid resuscitation practices and sepsis mortality and then identify the primary driver of this practice variation.
View Article and Find Full Text PDFThe optimal fluid management for acute respiratory distress syndrome (ARDS) remains unknown. Liberal fluid management may improve cardiac function and end-organ perfusion, but may lead to increased pulmonary edema and inhibit gas exchange. Trials suggest that conservative fluid management leads to better clinical outcomes, although prospective randomized, controlled trials have not demonstrated mortality benefit.
View Article and Find Full Text PDFObjectives: To create a deep learning algorithm capable of video classification, using a long short-term memory (LSTM) network, to analyze collapsibility of the inferior vena cava (IVC) to predict fluid responsiveness in critically ill patients.
Methods: We used a data set of IVC ultrasound (US) videos to train the LSTM network. The data set was created from IVC US videos of spontaneously breathing critically ill patients undergoing intravenous fluid resuscitation as part of 2 prior prospective studies.