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 …

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

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

Introduction: Intensive Care Unit (ICU) length-of-stay (LOS) following coronary artery bypass
grafting (CABG) is influenced by patient condition and operating room events. Prolonged …

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 …

CLINICAL PREDICTION models calculate the probability of a patient outcome based on a
defined set of parameters. For patients undergoing cardiac surgery, clinical prediction …

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 …

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 …

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 …

Objective Patients who have prolonged stay in intensive care unit (ICU) are associated with
adverse outcomes. Such patients have cost implications and can lead to shortage of ICU …