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Department of Cardiothoracic Surgery, Erasmus Medical Center, P O Box 2040, Room BD 569, Rotterdam, 3000 CA, the Netherlands
(Email: a.kappetein@erasmusmc.nl).
| The first 20% of the full text of this article appears below. |
The demand for intensive care unit (ICU) resources are increasing, and similarly, so are the costs incurred with the postoperative care of patients needing an intensive care bed. The frequent shortages of intensive care beds have led to renewed efforts to define criteria for admission and discharge. Identifying patients at high risk for postoperative complications and length of ICU stay would facilitate decisions to allocate resources and to plan schedules for operations. High-risk patients could be electively scheduled for surgery in a series rather than parallel. While scheduling the operative program, a case mix of patients that includes patients needing ICU admission and those who are likely to have uncomplicated recovery could potentially prevent the blocking of beds in the intensive care unit.
Brunelli and colleagues [1] aimed to develop and validate a scoring system to predict intensive care unit (ICU) admission for complications after major lung resection
Related Article
Ann. Thorac. Surg. 2008 86: 213-218.
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