tailieunhanh - Báo cáo khoa học: " Optimizing intensive care capacity using individual length-of-stay prediction models"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Optimizing intensive care capacity using individual length-of-stay prediction models. | Available online http content 11 2 R42 Research Optimizing intensive care capacity using individual length-of-stay prediction models Mark Van Houdenhoven1 4 5 Duy-Tien Nguyen1 2 Marinus J Eijkemans2 Ewout W Steyerberg2 Hugo W Tilanus3 Diederik Gommers4 5 Gerhard Wullink1 4 5 Jan Bakker5 and Geert Kazemier1 3 Department of Operating Rooms Erasmus University Medical Center . Box 2040 3000 CA Rotterdam The Netherlands department of Public Health Erasmus University Medical Center . Box 2040 3000 CA Rotterdam The Netherlands department of Surgery Erasmus University Medical Center . Box 2040 3000 CA Rotterdam The Netherlands department of Anesthesiology Erasmus University Medical Center . Box 2040 3000 CA Rotterdam The Netherlands department of Intensive Care Erasmus University Medical Center . Box 2040 3000 CA Rotterdam The Netherlands Corresponding author Gerhard Wullink Received 7 Dec 2006 Revisions requested 14 Jan 2007 Revisions received 16 Feb 2007 Accepted 27 Mar 2007 Published 27 Mar 2007 Critical Care 2007 11 R42 doi cc5730 This article is online at http content 11 2 R42 2007 Van Houdenhoven et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Open Access Abstract Introduction Effective planning of elective surgical procedures requiring postoperative intensive care is important in preventing cancellations and empty intensive care unit ICU beds. To improve planning we constructed validated and tested three models designed to predict length of stay LOS in the ICU in individual patients. Methods Retrospective data were collected from 518 consecutive patients who underwent oesophagectomy with reconstruction for carcinoma between January 1997 and April .