Thoracic and Cardiovascular Imaging Manifestations of Lupus.

Systemic lupus erythematosus (SLE), commonly referred to as lupus, is a widely prevalent chronic autoimmune disease that can affect any organ system in the body. Although the pathogenesis of this disease is rather complex and poorly understood, ultimately there is an overproduction of multiple self-reactive antinuclear antibodies. These autoantibodies are one of the laboratory hallmarks of the diagnosis and disease activity of SLE.

Open-source machine learning pipeline automatically flags instances of acute respiratory distress syndrome from electronic health records.

Physicians could greatly benefit from automated diagnosis and prognosis tools to help address information overload and decision fatigue. Intensive care physicians stand to benefit greatly from such tools as they are at particularly high risk for those factors. Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition affecting >10% of critical care patients and has a mortality rate over 40%.

Validation of a tool for estimating clinician recognition of ARDS using data from the international LUNG SAFE study.

Under-recognition of acute respiratory distress syndrome (ARDS) by clinicians is an important barrier to adoption of evidence-based practices such as low tidal volume ventilation. The burden created by the COVID-19 pandemic makes it even more critical to develop scalable data-driven tools to improve ARDS recognition. The objective of this study was to validate a tool for accurately estimating clinician ARDS recognition rates using discrete clinical characteristics easily available in electronic health records.

Usability of Hospital Price Estimators for Lumbar Spine MRI.

Purpose: The aim of this study was to evaluate the usability of online hospital price estimators for a common imaging examination using surrogate patients.

Methods: Using the Amazon Mechanical Turk platform, the authors recruited adult English-speaking US residents as surrogate patients to find the cash price for a noncontrast lumbar spine MRI examination for a self-pay patient using price estimator tools at four hospitals. All were asked to view a 3-min tutorial video and report their experiences with the task, including the System Usability Scale (SUS) for the estimator, through a paid survey.

The first step is recognizing there is a problem: a methodology for adjusting for variability in disease severity when estimating clinician performance.

Background: Adoption of innovations in the field of medicine is frequently hindered by a failure to recognize the condition targeted by the innovation. This is particularly true in cases where recognition requires integration of patient information from different sources, or where disease presentation can be heterogeneous and the recognition step may be easier for some patients than for others.

Methods: We propose a general data-driven metric for clinician recognition that accounts for the variability in patient disease severity and for institutional standards.

Chest radiograph at admission predicts early intubation among inpatient COVID-19 patients.

Objective: The 2019 Coronavirus (COVID-19) results in a wide range of clinical severity and there remains a need for prognostic tools which identify patients at risk of rapid deterioration and who require critical care. Chest radiography (CXR) is routinely obtained at admission of COVID-19 patients. However, little is known regarding correlates between CXR severity and time to intubation.

A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.

Importance: Despite its efficacy, low tidal volume ventilation (LTVV) remains severely underutilized for patients with acute respiratory distress syndrome (ARDS). Physician under-recognition of ARDS is a significant barrier to LTVV use. We propose a computational method that addresses some of the limitations of the current approaches to automated measurement of whether ARDS is recognized by physicians.

A Critical Care Clinician Survey Comparing Attitudes and Perceived Barriers to Low Tidal Volume Ventilation with Actual Practice.

Rationale: Low-Vt ventilation lowers mortality in patients with acute respiratory distress syndrome (ARDS) but is underused. Little is known about clinician attitudes toward and perceived barriers to low-Vt ventilation use and their association with actual low-Vt ventilation use.

Objectives: The objectives of this study were to assess clinicians' attitudes toward and perceived barriers to low-Vt ventilation (Vt <6.

Low Tidal Volume Ventilation Use in Acute Respiratory Distress Syndrome.

Objective: Low tidal volume ventilation lowers mortality in the acute respiratory distress syndrome. Previous studies reported poor low tidal volume ventilation implementation. We sought to determine the rate, quality, and predictors of low tidal volume ventilation use.

Loss of myoferlin redirects breast cancer cell motility towards collective migration.

Cell migration plays a central role in the invasion and metastasis of tumors. As cells leave the primary tumor, they undergo an epithelial to mesenchymal transition (EMT) and migrate as single cells. Epithelial tumor cells may also migrate in a highly directional manner as a collective group in some settings.