[HTML][HTML] Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

MW Sjoding, D Taylor, J Motyka, E Lee… - The Lancet Digital …, 2021 - thelancet.com
Background Acute respiratory distress syndrome (ARDS) is a common, but under-
recognised, critical illness syndrome associated with high mortality. An important factor in its …

Interobserver reliability of the Berlin ARDS definition and strategies to improve the reliability of ARDS diagnosis

MW Sjoding, TP Hofer, I Co, A Courey, CR Cooke… - Chest, 2018 - Elsevier
Background Failure to reliably diagnose ARDS may be a major driver of negative clinical
trials and underrecognition and treatment in clinical practice. We sought to examine the …

[HTML][HTML] Machine learning for patient risk stratification for acute respiratory distress syndrome

D Zeiberg, T Prahlad, BK Nallamothu, TJ Iwashyna… - PloS one, 2019 - journals.plos.org
Background Existing prediction models for acute respiratory distress syndrome (ARDS)
require manual chart abstraction and have only fair performance–limiting their suitability for …

Mechanical ventilation training during graduate medical education: perspectives and review of the literature

JM Keller, D Claar, JC Ferreira… - Journal of …, 2019 - meridian.allenpress.com
Background Management of mechanical ventilation (MV) is an important and complex
aspect of caring for critically ill patients. Management strategies and technical operation of …

MADVent: A low‐cost ventilator for patients with COVID‐19

A Vasan, R Weekes, W Connacher… - Medical devices & …, 2020 - Wiley Online Library
The COVID‐19 pandemic has produced critical shortages of ventilators worldwide. There is
an unmet need for rapidly deployable, emergency‐use ventilators with sufficient functionality …

Why do we fail to deliver evidence-based practice in critical care medicine?

CH Weiss - Current opinion in critical care, 2017 - journals.lww.com
There are many barriers to the implementation of evidence-based practice in critical care
medicine. Systematically classifying these barriers allows implementation researchers and …

Improving prone positioning for severe acute respiratory distress syndrome during the COVID-19 pandemic. An implementation-mapping approach

T Klaiman, JA Silvestri, T Srinivasan… - Annals of the …, 2021 - atsjournals.org
Rationale: Prone positioning reduces mortality in patients with severe acute respiratory
distress syndrome (ARDS), a feature of severe coronavirus disease 2019 (COVID-19) …

[HTML][HTML] Biomarker-based classification of patients with acute respiratory failure into inflammatory subphenotypes: a single-center exploratory study

CM Drohan, SM Nouraie, W Bain, FA Shah… - Critical Care …, 2021 - journals.lww.com
OBJECTIVES: Hyper-and hypoinflammatory subphenotypes discovered in patients with
acute respiratory distress syndrome predict clinical outcomes and therapeutic responses …

Research needs for inpatient management of severe alcohol withdrawal syndrome: an official American Thoracic Society research statement

TL Steel, M Afshar, S Edwards, SE Jolley… - American journal of …, 2021 - atsjournals.org
Background: Severe alcohol withdrawal syndrome (SAWS) is highly morbid, costly, and
common among hospitalized patients, yet minimal evidence exists to guide inpatient …

Evaluating delivery of low tidal volume ventilation in six ICUs using electronic health record data

MW Sjoding, MN Gong, CF Haas… - Critical care …, 2019 - journals.lww.com
Objectives: Mechanical ventilation with low tidal volumes is recommended for all patients
with acute respiratory distress syndrome and may be beneficial to other intubated patients …