Background ICU risk assessment tools, routinely used for predicting population outcomes,
are not recommended for evaluating individual risk. The state of health of single patients is …

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 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 …

Introduction Prediction of death and prolonged mechanical ventilation is important in terms
of projecting resource utilization and in establishing protocols for clinical studies of acute …

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 …

Introduction Whereas most studies focus on laboratory and clinical research, little is known
about the causes of death and risk factors for death in critically ill patients. Methods Three …

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 …

Background Scoring systems have been proposed to assist in assessing prognosis, to
compare ICU performance and to stratify patients for clinical trials. Three different models of …

Methods A prospective case-note review of 500 consecutive admissions to Glasgow Royal
Infirmary ICU was undertaken over an 18-month period. Details of co-morbidity, social …