Length of intensive care unit stay following cardiac surgery: is it impossible to find a universal prediction model?

OBJECTIVES Accurate models for prediction of a prolonged intensive care unit (ICU) stay following cardiac surgery may be developed using Cox proportional hazards regression. Our aims were to develop a preoperative and intraoperative model to predict the length of the ICU stay and to compare our mode...

Full description

Saved in:
Bibliographic Details
Published in:Interactive cardiovascular and thoracic surgery 2012-11, Vol.15 (5), p.825-832
Main Authors: Widyastuti, Yunita, Stenseth, Roar, Wahba, Alexander, Pleym, Hilde, Videm, Vibeke
Format: Article
Language:English
Subjects:
Aged
Cardiac Surgical Procedures - adverse effects
Discriminant Analysis
Female
Humans
Intensive Care Units
Length of Stay
Logistic Models
Male
Models, Statistical
Norway
Original
Patient Discharge
Proportional Hazards Models
Reproducibility of Results
Risk Assessment
Risk Factors
ROC Curve
Time Factors
Treatment Outcome
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:OBJECTIVES Accurate models for prediction of a prolonged intensive care unit (ICU) stay following cardiac surgery may be developed using Cox proportional hazards regression. Our aims were to develop a preoperative and intraoperative model to predict the length of the ICU stay and to compare our models with published risk models, including the EuroSCORE II. METHODS Models were developed using data from all patients undergoing cardiac surgery at St. Olavs Hospital, Trondheim, Norway from 2000-2007 (n = 4994). Internal validation and calibration were performed by bootstrapping. Discrimination was assessed by areas under the receiver operating characteristics curves and calibration for the published logistic regression models with the Hosmer-Lemeshow test. RESULTS Despite a diverse risk profile, 93.7% of the patients had an ICU stay
ISSN:1569-9293
1569-9285
DOI:10.1093/icvts/ivs302