Background Prognostic models—used in critical care medicine for mortality predictions, for
benchmarking and for illness stratification in clinical trials—have been validated …

Frailty is a state of vulnerability resulting from cumulative decline in many physiological
systems during a lifetime. It is progressive and considered largely irreversible, but its …

Objective: To describe the Epimed Monitor Database®, a Brazilian intensive care unit quality
improvement database. Methods: We described the Epimed Monitor® Database, including …

Risk adjustment and mortality prediction models are central in optimising care and for
benchmarking purposes. In the burn setting, the Baux score and its derivatives have been …

Benchmarking is a common and effective method for measuring and analyzing ICU
performance. With the existence of national registries, objective information can now be …

Background Providing timely care while keeping an efficient bed turnover rate is a challenge
hospitals usually face. Early prediction of prolonged hospital length of stay may help devise …

Purpose. To analyze whether a viscoelastic mattress support surface can reduce the
incidence of stage 2 pressure injuries compared to a standard hospital mattress with …

Abstract Introduction: Various Machine Learning (ML) models have been used to predict
sepsis-associated mortality. We conducted a systematic review to evaluate the …

Chronic critical illness (CCI) is a relevant clinical, social and financial health issue. The aim
of this study was to compare the mental outcomes (symptoms of anxiety and depression) …

Introduction: Malnutrition is associated with an increased risk of complications in
hospitalized patients, and parenteral nutrition (PN) is used when oral or enteral feeding is …