Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients.

Background: Hypotension is associated with organ injury and death in surgical and critically ill patients. In clinical practice, treating hypotension remains challenging because it can be caused by various underlying haemodynamic alterations. We aimed to identify and independently validate endotypes of hypotension in big datasets of surgical and critically ill patients using unsupervised deep learning.

The Metapopulation Bridge to Macroevolutionary Speciation Rates: A Conceptual Framework and Empirical Test.

Whether large-scale variation in lineage diversification rates can be predicted by species properties at the population level is a key unresolved question at the interface between micro- and macroevolution. All else being equal, species with biological attributes that confer metapopulation stability should persist more often at timescales relevant to speciation and so give rise to new (incipient) forms that share these biological traits. Here, we develop a framework for testing the relationship between metapopulation properties related to persistence and phylogenetic speciation rates.

Association Between Finger Plethysmographic Features and Impedance-Based Thoracic Fluid Content Measurement in a Lower Body Negative Pressure Model of Hemorrhagic Shock.

Introduction: Timely identification of the need for lifesaving intervention in battlefield conditions may be improved through automated monitoring of the injured warfighter. Technologies that combine maximal noninvasive insight with minimal equipment footprint give the greatest opportunity for deployment at scale with inexperienced providers in forward areas. Finger photoplethysmography (PPG) signatures are associated with impending hemorrhagic shock but may be insufficient alone.

Association of the Revised Trauma Score with Mortality and Prehospital LSI Among Trauma and Non-Trauma Patients.

Objectives: The combination of broad conditional applicability and ease of data collection make some general risk scores an attractive tool for clinical decision making under acute care conditions. To date, general risk scores have demonstrated moderate levels of accuracy for key outcomes, but there are no definitive general scores integrated universally into prehospital care. The objective of our study was to demonstrate a relationship between the Revised Trauma Score (RTS) and prehospital lifesaving interventions (LSI) and downstream hospital mortality among a large, diverse, multi-year cohort of critical care transport patients.