Background: After critical illness, new or worsening impairments in physical, cognitive,
and/or mental health function are common among patients who have survived. Who should …

Delirium, a form of acute brain dysfunction, is very common in the critically ill adult patient
population. Although its pathophysiology is poorly understood, multiple factors associated …

Purpose This study aimed to determine the prevalence and predictors of death or new
disability following critical illness. Methods Prospective, multicentre cohort study conducted …

OBJECTIVES: Investigate the challenges experienced by survivors of critical illness and
their caregivers across the transitions of care from intensive care to community, and the …

To evaluate the performance of machine learning (ML) models and to compare it with
logistic regression (LR) technique in predicting cognitive impairment related to post …

There is ongoing demographic ageing and increasing longevity of the population, with
previously devastating and often-fatal diseases now transformed into chronic conditions …

Rationale At present, clinicians aiming to support patients through the challenges after
critical care have limited evidence to base interventions. Objectives Evaluate a multicentre …

Objectives To (1) explore trends of risk of bias (ROB) in prediction research over time
following key methodological publications, using the Prediction model Risk Of Bias …

Objective We conducted a systematic review to characterize and critically appraise
developed prediction models based on structured electronic health record (EHR) data for …

Objective The aim of the study was to assess the effectiveness of intensive care unit (ICU)–
initiated transitional care interventions for patients and families on elements of post-intensive …