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

IN THIS issue of the Journal of Cardiothoracic and Vascular Anesthesia, McDonald et al.
present a retrospective, populationbased study concerning the creation of a model to predict …

We read with great interest the article by De Cocker and colleagues [1]. It deals with one of
the hot topics in cardiac surgery, as the prediction of postoperative intensive care unit length …

Recently, an original study titled “Factors Associated with Length of Intensive Care Unit Stay
Following Cardiac Surgery in Cardiac Center Ethiopia, Addis Ababa, Ethiopia: Institution …

The recent article by Howitt et al1 validating three postoperative risk prediction models for
intensive care unit (ICU) mortality after cardiac surgery was of great interest. They showed …

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 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 …

Purpose To determine whether a group of experienced clinicians can predict intensive care
unit (ICU) length of stay (LOS) following cardiac surgery. Methods A cohort of 265 adult …

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

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 …