Báo cáo khoa học: "Identification of high-risk subgroups in very elderly intensive care unit patients"

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: Identification of high-risk subgroups in very elderly intensive care unit patients. | Available online http content 11 2 R33 Research Identification of high-risk subgroups in very elderly intensive care unit patients Sophia E de Rooij1 Ameen Abu-Hanna2 Marcel Levi3 and Evert de Jonge4 Department of Geriatrics Academic Medical Center University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam The Netherlands department of Medical Informatics Academic Medical Center University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam The Netherlands department of Internal Medicine Cardiology and Pulmonary Disease Academic Medical Center University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam The Netherlands 4Department of Intensive Care Academic Medical Center University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam The Netherlands Corresponding author Sophia E de Rooij Received 16 Nov 2006 Revisions requested 14 Dec 2006 Revisions received 18 Jan 2007 Accepted 8 Mar 2007 Published 8 Mar 2007 Critical Care 2007 11 R33 doi cc5716 This article is online at http content 11 2 R33 2007 de Rooij 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 Current prognostic models for intensive care unit ICU patients have not been specifically developed or validated in the very elderly. The aim of this study was to develop a prognostic model for ICU patients 80 years old or older to predict in-hospital mortality by means of data obtained within 24 hours after ICU admission. Aside from having good overall performance the model was designed to reliably and specifically identify subgroups at very high risk of dying. Methods A total of 6 867 consecutive patients 80 years old or older from 21 Dutch ICUs were studied. Data necessary to calculate the Glasgow

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