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ISRN Nursing
Volume 2012 (2012), Article ID 691561, 9 pages
http://dx.doi.org/10.5402/2012/691561
Research Article

Predictors of Prolonged Stay in the Intensive Care Unit following Cardiac Surgery

1Cardiac Surgery Intensive Care Unit, “Evangelismos” General Hospital of Athens, 45-47 Ipsilantou Street, 10676 Athens, Greece
2Faculty of Nursing, National and Kapodistrian University of Athens, 123 Papadiamantopoulou Street, 11527 Athens, Greece
3Centre for Health Services Management and Evaluation, Faculty of Nursing, National and Kapodistrian University of Athens, 123 Papadiamantopoulou Street, 11527 Athens, Greece
4First Cardiothoracic Surgery Department, “Evangelismos” General Hospital of Athens, 45-47 Ipsilantou Street, 10676 Athens, Greece

Received 15 March 2012; Accepted 3 May 2012

Academic Editors: P. R. Gibson, I. A. C. Mendes, and B. Roberts

Copyright © 2012 Rokeia Eltheni et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 patients. The aim of this study was to identify the preoperative and intraoperative predictors for prolonged cardiac surgery ICU-LOS. An observational cohort study was conducted among 150 consecutive patients, who were admitted to the cardiac surgery ICU of a tertiary hospital of Athens, Greece from September 2010 to January 2011. Multivariate regression analysis revealed that patients with increased creatinine levels preoperatively (odds ratio (OR) 3.0, 𝑃 = 0 . 0 4 9 ), history of atrial fibrillation (AF) (OR 6.3, 𝑃 = 0 . 0 1 2 ) and high EuroSCORE values (OR 2.6, 𝑃 = 0 . 0 1 7 ) had a significant greater probability to stay in the ICU for more than 2 days. In addition, intraoperative hyperglycemia (OR 3.0, 𝑃 = 0 . 0 0 4 ) was strongly associated with longer ICU-LOS. In conclusion, the high perioperative risk, the history of AF and renal dysfunction, and the intraoperative hyperglycemia are significant predictors of prolonged ICU stay. The early identification of patients at risk could allow the efficient ICU resources' allocation and the reduction of healthcare costs. This would contribute to nursing care planning depending on the availability of healthcare personnel and ICU bed capacity.