Comparative analysis of Lox-1 and CD36 expression in human platelets and on circulating microparticles during ARDS-induced coagulopathy.

Introduction: Acute respiratory distress syndrome (ARDS) patients are at risk of thrombosis through mechanisms implicating oxidized low-density lipoprotein (oxLDL). Endothelial cells, immune cells and platelets were reported to express scavenger receptors for oxLDL: Lox-1 and CD36. We hypothesized that platelets shed a soluble Lox-1 ectodomain (sLox-1) and release CD36-bearing procoagulant microparticles (MPs), that both become elevated in subjects with ARDS-induced coagulopathy.

Novel Initiative Increasing GDMT Use Among Patients With Heart Failure With Reduced Ejection Fraction.

Guideline-directed medical therapy utilization in patients with heart failure with reduced ejection fraction (HFrEF) remains low despite benefits in morbidity and mortality. The authors describe a unique quality improvement initiative designed to increase angiotensin receptor-neprilysin inhibitor (ARNI) and mineralocorticoid receptor antagonist (MRA) utilization in outpatients with HFrEF in a large cardiology practice, whereby eligible patients were identified in a standardized review process and medication utilization rates were linked to group quality metrics. Eligible HFrEF patients were defined as having a left ventricular ejection fraction (LVEF) ≤40% and NYHA functional class II to IV level of symptoms.

Time Thresholds for Using Pressure Reactivity Index in Neuroprognostication for Patients With Severe Traumatic Brain Injury.

Background And Objectives: Severe traumatic brain injury (sTBI) represents a diffuse, heterogeneous disease where therapeutic targets for optimizing clinical outcome remain unclear. Mean pressure reactivity index (PRx) values have demonstrated associations with clinical outcome in sTBI. However, the retrospective derivation of a mean value diminishes its bedside significance.

Recording animal-view videos of the natural world using a novel camera system and software package.

Plants, animals, and fungi display a rich tapestry of colors. Animals, in particular, use colors in dynamic displays performed in spatially complex environments. Although current approaches for studying colors are objective and repeatable, they miss the temporal variation of color signals entirely.

A Randomized Comparison of Radial Artery Intimal Hyperplasia Following Distal vs. Proximal Transradial Access for Coronary Angiography: PRESERVE RADIAL Trial.

Background: Distal transradial access (dTRA) is an alternative to conventional forearm transradial access (fTRA) for coronary angiography (CAG). Differences in healing of the radial artery in the forearm (FRA) have not been evaluated between these 2 access strategies. We sought to compare FRA intimal-medial thickening (IMT) in patients randomized to dTRA vs.

Pressure reactivity index for early neuroprognostication in poor-grade subarachnoid hemorrhage.

Background: Pressure reactivity index (PRx) utilizes moving correlation coefficients from intracranial pressure (ICP) and mean arterial pressures to evaluate cerebral autoregulation. We evaluated patients with poor-grade subarachnoid hemorrhage (SAH), identified their PRx trajectories over time, and identified threshold time points where PRx could be used for neuroprognostication.

Methods: Patients with poor-grade SAH were identified and received continuous bolt ICP measurements.

Robust Prediction and Protein Selection with Adaptive PENSE.

Adaptive PENSE is a method that can be used to build models for predicting clinical outcomes from a small subset of a potentially large number of candidate proteins. Adaptive PENSE is designed to give reliable results under two common challenges often encountered in these kinds of studies: (1) the number of samples with known clinical outcome and proteomic data is small, while the number of candidate proteins is large and/or (2) proteomic data and the clinical outcome measurements suffer from data quality issues in a small fraction of samples. Even in the presence of these challenges, adaptive PENSE reliably identifies proteins relevant for prediction and estimates accurate predictive models.

PGCA: An algorithm to link protein groups created from MS/MS data.

The quantitation of proteins using shotgun proteomics has gained popularity in the last decades, simplifying sample handling procedures, removing extensive protein separation steps and achieving a relatively high throughput readout. The process starts with the digestion of the protein mixture into peptides, which are then separated by liquid chromatography and sequenced by tandem mass spectrometry (MS/MS). At the end of the workflow, recovering the identity of the proteins originally present in the sample is often a difficult and ambiguous process, because more than one protein identifier may match a set of peptides identified from the MS/MS spectra.