The prediction of intensive care unit length of stay (ICU‐LOS) could contribute to more
efficient ICU resources′ allocation and better planning of care among cardiac surgery …

Background and aim of the study: Predictive models for the length of stay (LOS) in the
intensive care unit (ICU) following cardiac surgery have been developed in the last decade …

Background Intensive care unit (ICU) care is associated with costly and often scarce
resources. In many parts of the world, ICUs are being perceived as major bottlenecks …

Objective The aim of this study was to develop a statistical model based on patient
parameters to predict the length of stay (LOS) in the intensive care unit (ICU) following …

Background The aim of the study is to design a specific Intensive Care Unit length-of-stay
risk model based on the preoperative factors and surgeries utilizing modeling strategies for …

Objective: Following cardiac surgery, a great variety in intensive care unit (ICU) stay is
observed, making it often difficult to adequately predict ICU stay preoperatively. Therefore, a …

OBJECTIVES Accurate models for prediction of a prolonged intensive care unit (ICU) stay
following cardiac surgery may be developed using Cox proportional hazards regression …

Objective To determine the effect of intensive care unit (ICU) length of stay (LOS) on hospital
mortality and non-home discharge for patients undergoing cardiac surgery over a 16-year …

Background—Several models have been developed to predict prolonged stay in the
intensive care unit (ICU) after cardiac surgery. However, no extensive quantitative validation …

Intensive care unit (ICU) costs comprise a significant proportion of the total inpatient charges
for cardiac surgery. No reliable method for predicting intensive care unit length of stay …