Fluid overload, while common in the ICU and associated with serious sequelae, is hard to
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …

Background: The detrimental impact of fluid overload (FO) on intensive care unit (ICU)
morbidity and mortality is well known. However, research to identify subgroups of patients …

Objective: To compare general and disease-based modeling for fluid resuscitation and
vasopressor use in intensive care units. Methods: Retrospective cohort study in-volving …

Background: Critically ill patients are at increased risk for fluid overload, but objective
prediction tools to guide clinical decision-making are lacking. The MRC-ICU scoring tool is …

Background and objective To develop a machine learning model to predict urine output
(UO) in sepsis patients after fluid resuscitation. Methods We identified sepsis patients in the …

Introduction The goal of personalised medicine in the intensive care unit (ICU) is to predict
which diagnostic tests, monitoring interventions and treatments translate to improved …

Introduction Fluid overload in patients in the intensive care unit (ICU) is associated with
higher mortality. There are few randomized controlled trials to guide physicians in treating …

Background and objectives Excess fluid balance in acute kidney injury (AKI) may be
harmful, and conversely, some patients may respond to fluid challenges. This study aimed to …

Objectives Fluid management is important in ensuring haemodynamic stability in critically ill
patients, but can easily lead to fluid overload (FO). However, the optimal fluid balance plot or …

Introduction: Fluid stewardship targets optimal fluid management to improve patient
outcomes. Intravenous (IV) medications, flushes, and blood products, collectively referred to …