Publication
Title
Prediction of prolonged length of stay in the intensive care unit after cardiac surgery: the need for a multi-institutional risk scoring system
Author
Abstract
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. These risk models use different endpoint and risk factor definitions. This review discusses the need for a uniform multi-institutional risk scoring system for a prolonged ICU LOS. Methods: The MEDLINE database was searched for studies assessing the prognostic value of clinical variables predicting ICU LOS. Information on study design, patient population, extended ICU LOS definition, and predictors was retrieved. Results: There is no consensus on the definition of a prolonged ICU LOS. This is mainly because some studies take the continuous variables of "days in the intensive care unit" and try to make it dichotomous when actually the LOS should be analyzed as a "continuous variable." We also report a cardiac surgeon-related component. The most important risk factors were: increased age, no elective surgery, type of cardiac surgery, low left ventricular ejection fraction, recent myocardial infarction, history of pulmonary disease, history of renal disease, and reoperation/reexploration. Conclusions: There is a need for the development of a multi-institutional risk scoring system for prolonged ICU LOS following cardiac surgery. This predictive model could aid in quality assessment, practice improvement, patient counseling, and decision making. In order to develop this risk model, uniformed and standardized definitions are needed.
Language
English
Source (journal)
Journal of cardiac surgery. - New York, N.Y.
Publication
New York, N.Y. : 2009
ISSN
0886-0440
Volume/pages
24:2(2009), p. 127-133
ISI
000263694600007
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 06.03.2009
Last edited 16.05.2017
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