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: Modeling effect of the septic condition and trauma on C-reactive protein levels in children with sepsis: a retrospective study. | Available online http content 11 3 R70 Research Modeling effect of the septic condition and trauma on C-reactive protein levels in children with sepsis a retrospective study Michal Kyr1 2 Michal Fedora3 Lubomir Elbl4 Nishan Kugan5 and Jaroslav Michalek1 11st Department of Pediatrics University Hospital Brno Cernopolni 9 Brno 61300 Czech Republic 2Masaryk University Institute of Biostatistics and Analyses Brno Czech Republic Department of Pediatric Anesthesiology and Resuscitation University Hospital Brno Brno Czech Republic 4Department of Cardiopulmonary Testing University Hospital Brno Brno Czech Republic 5University of Massachusetts Worcester 01655 MA USA Corresponding author Michal Kyr kyr@ Received 2 Jan 2007 Revisions requested 21 Feb 2007 Revisions received 29 Apr 2007 Accepted 28 Jun 2007 Published 28 Jun 2007 Critical Care 2007 11 R70 doi cc5955 This article is online at http content 11 3 R70 2007 Kyr 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 Sepsis is the main cause of morbidity and mortality in intensive care units and its early diagnosis is not straightforward. Many studies have evaluated the usefulness of various markers of infection including C-reactive protein CRP which is the most accessible and widely used. CRP is of weak diagnostic value because of its low specificity a better understanding of patterns of CRP levels associated with a particular form of infection may improve its usefulness as a sepsis marker. In the present article we apply multilevel modeling techniques and mixed linear models to CRP-related data to assess the time course of CRP blood levels in association with clinical outcome in children with .
