Background Binary classification models are frequently used to predict clinical deterioration,
however they ignore information on the timing of events. An alternative is to apply time-to …

Introduction The rising prevalence of rapid response teams has led to a demand for risk-
stratification tools that can estimate a ward patient's risk of clinical deterioration and …

Background We aimed to optimize prediction of long-term all-cause mortality of intensive
care unit (ICU) patients, using quantitative register-based comorbidity information assessed …

Background Severity scores are commonly used for outcome adjustment and benchmarking
of trauma care provided. No specific models performed only with critically ill patients are …

Abstract Introduction Kaplan–Meier curves and logistic models are widely used to describe
and explain the variability of survival in intensive care unit (ICU) patients. The Kaplan–Meier …

Introduction Intensive care is generally regarded as expensive, and as a result beds are
limited. This has raised serious questions about rationing when there are insufficient beds …

Background Functional status (FS) before intensive care unit (ICU) admission is associated
with short-term and long-term outcomes among critically ill patients. However, measures of …

Background Intensive care unit (ICU) survivors have reduced long-term survival compared
to the general population. Identifying parameters at ICU discharge that are associated with …

Background Treatment and the clinical course during Emergency Department (ED) stay
before Intensive Care Unit (ICU) admission may affect predicted mortality risk calculated by …

Background A real-time model for predicting short-term mortality in critically ill patients is
needed to identify patients at imminent risk. However, the performance of the model needs …