Background Precision medicine approaches that target patients on the basis of disease
subtype have transformed treatment approaches to cancer, asthma, and other heterogeneous …

Background Using latent class analysis (LCA) in five randomised controlled trial (RCT)
cohorts, two distinct phenotypes of acute respiratory distress syndrome (ARDS) have been …

Despite progress in the supportive care available for critically ill patients, few advances have
been made in the search for effective disease-modifying therapeutic options. The fact that …

Purpose Using latent class analysis (LCA), we have consistently identified two distinct
subphenotypes in four randomized controlled trial cohorts of ARDS. One subphenotype has hyper-…

Background In acute respiratory distress syndrome (ARDS) unrelated to COVID-19, two
phenotypes, based on the severity of systemic inflammation (hyperinflammatory and …

Although the acute respiratory distress syndrome (ARDS) is well defined by the development
of acute hypoxemia, bilateral infiltrates and non-cardiogenic pulmonary edema, ARDS is …

The description of a so-called cytokine storm in patients with COVID-19 has prompted
consideration of anti-cytokine therapies, particularly interleukin-6 antagonists. However, direct …

In its most severe form, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
the virus that causes coronavirus disease 2019 (COVID-19), leads to a life-threatening …

Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …

Rationale: Two distinct subphenotypes have been identified in acute respiratory distress
syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus …