Rationale: Recent studies showed that biological subphenotypes in acute respiratory
distress syndrome (ARDS) provide prognostic enrichment and show potential for predictive …

Background Sepsis mortality is still unacceptably high and an appropriate prognostic tool
may increase the accuracy for clinical decisions. Objective To evaluate several supervised …

Objective: The Lung Injury Prediction Score identifies patients at risk for acute respiratory
distress syndrome in the emergency department, but it has not been validated in non …

In emergency departments, the most common cause of death associated with suspected
infected patients is sepsis. In this study, deep learning algorithms were used to predict the …

Background Heterogeneity of acute respiratory distress syndrome (ARDS) could be reduced
by identification of biomarker-based phenotypes. The set of ARDS biomarkers to …

Rationale We hypothesised that patients with acute respiratory distress syndrome (ARDS)
can be clustered based on concentrations of plasma biomarkers and that the thereby …

Background Acute respiratory distress syndrome (ARDS) is a common, but under-
recognised, critical illness syndrome associated with high mortality. An important factor in its …

Background The determination of risk factors for acute respiratory distress syndrome (ARDS)
patients remains a challenge. Our study aims to explore the epidemiology and risk factors …

Objective The growing availability of rich clinical data such as patients' electronic health
records provide great opportunities to address a broad range of real-world questions in …

Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations
(AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for …