Results 111 to 120 of about 308,666 (390)
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability [PDF]
Determining whether hypotensive patients in intensive care units (ICUs) should receive fluid bolus therapy (FBT) has been an extremely challenging task for intensive care physicians as the corresponding increase in blood pressure has been hard to predict. Our study utilized regression models and attention-based recurrent neural network (RNN) algorithms
arxiv
Background: The relative contributions of intraoperative and postoperative hypotension to perioperative morbidity remain unclear. We determined the association between hypotension and a composite of 30-day myocardial infarction and death over three ...
D. Sessler+19 more
semanticscholar +1 more source
Abstract Aim To evaluate the safety, tolerability and pharmacokinetics in healthy participants of orally administered MMV367 (GSK3772701), a novel antimalarial interfering with Plasmodium falciparum acyl coenzyme A synthetase 10/11 function. Methods This first‐in‐human study enrolled 47 healthy male and female participants.
Andrea Kuemmerle+13 more
wiley +1 more source
Stable New York Heart Association (NYHA) class over time was much more frequent than an improvement or a worsening. Follow‐up NYHA class assessment, but not change in NYHA class over time, was independently associated with better prognosis. CI, confidence interval; HR, hazard ratio.
Felix Lindberg+7 more
wiley +1 more source
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection [PDF]
Timely prediction of clinically critical events in Intensive Care Unit (ICU) is important for improving care and survival rate. Most of the existing approaches are based on the application of various classification methods on explicitly extracted statistical features from vital signals. In this work, we propose to eliminate the high cost of engineering
arxiv
Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
Background Even brief hypotension is associated with increased morbidity and mortality. We developed a machine learning model to predict the initial hypotension event among intensive care unit (ICU) patients and designed an alert system for bedside ...
Joo Heung Yoon+5 more
semanticscholar +1 more source
Aims Amlodipine poisoning is a leading cause of cardiovascular medication‐related deaths, commonly managed with high‐dose insulin (HDI) therapy. However, HDI is a vasodilator that is counterproductive in managing vasoplegia. We aim to study HDI therapy in patients with hypotension following dihydropyridine calcium channel antagonist (CCA) overdose ...
Betty S. H. Chan+3 more
wiley +1 more source
Post-induction hypotension and early intraoperative hypotension associated with general anaesthesia
Background We hypothesized that different phases of intraoperative hypotension should be differentiated because of different underlying causative mechanisms. We defined post-induction hypotension (PIH; i.e. arterial hypotension occurring during the first
S. Südfeld+6 more
semanticscholar +1 more source
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals [PDF]
Hundreds of millions of surgical procedures take place annually across the world, which generate a prevalent type of electronic health record (EHR) data comprising time series physiological signals. Here, we present a transferable embedding method (i.e., a method to transform time series signals into input features for predictive machine learning ...
arxiv
Mechanisms, Clinical Implications, and Treatment of Intradialytic Hypotension.
Individuals with ESKD requiring maintenance hemodialysis face a unique hemodynamic challenge, typically on a thrice-weekly basis. In an effort to achieve some degree of euvolemia, ultrafiltration goals often involve removal of the equivalent of an entire
Patrick B Reeves, Finnian R. Mc Causland
semanticscholar +1 more source