Objective Allostatic load literature has proliferated over the past three decades, and a
growing body of research demonstrates that higher levels of allostatic load are associated …

Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …

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

Background In sepsis and acute respiratory distress syndrome (ARDS), heterogeneity has
contributed to difficulty identifying effective pharmacotherapies. In ARDS, two molecular …

Background Patients with COVID-19-related acute respiratory distress syndrome (ARDS)
have been postulated to present with distinct respiratory subphenotypes. However, most …

Background Previous latent class analysis of adults with acute respiratory distress syndrome
(ARDS) identified two phenotypes, distinguished by the degree of inflammation. We aimed …

Rationale Using latent class analysis (LCA), two subphenotypes of acute respiratory distress
syndrome (ARDS) have consistently been identified in five randomised controlled trials …

Background and aims The epidemiological characteristics of MAFLD and its relationship
with atrial fibrillation (AF) are limited in China. Therefore, we explored the epidemiological …

PURPOSE To identify symptom clusters among adult survivors of childhood cancers and test
associations with health-related quality of life (HRQOL) and physical and neurocognitive …

Abstract Background Heterogeneity in Acute Respiratory Distress Syndrome (ARDS), as a
consequence of its non-specific definition, has led to a multitude of negative randomised …