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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: Searching for an ideal hemodynamic marker to predict short-term outcome in cardiogenic shock. | Available online http ccforum.eom content 13 6 1013 Commentary Searching for an ideal hemodynamic marker to predict short-term outcome in cardiogenic shock Mehmet Birhan Yilmaz1 2 and Alexandre Mebazaa2 1 Department of Cardiology School of Medicine Cumhuriyet University 58140 Sivas Turkey 2AP-HP Department of Anesthesia and Critical Care Hopital Lariboisiere Paris Universite Paris Diderot U942 Inserm Paris 75010 France Corresponding author Alexandre Mebazaa alexandre.mebazaa@lrb.aphp.fr Published 10 December 2009 Critical Care 2009 13 1013 doi 10.1186 cc8176 This article is online at http ccforum.com content 13 6 1013 2009 BioMed Central Ltd See related research by Torgersen et al. http ccforum.com content 13 5 R157 Abstract Cardiogenic shock is a lethal condition. Physicians are searching for hemodynamic markers which could help risk-stratification of patients in this picture. Torgersen and coworkers present an hourly time integral of the cardiac power index and cardiac index drops to predict outcomes in the setting of cardiogenic shock. Continuous monitoring of hemodynamic markers may have a role in prediction of outcomes. In the previous issue of Critical Care Torgersen and coworkers present data about careful evaluation of hemodynamic monitoring of patients with cardiogenic shock CS in the intensive care unit as continuous variables during the initial 24-hour period 1 . Hemodynamic parameters influencing short-term mortality were identified. The authors stated that hourly time integrals of the cardiac index CI cardiac output per body surface area and the cardiac power index CPI cardiac power output per body surface area were the most important hemodynamic variables designating mortality as continuous parameters. In addition instead of intermittent measures of the CI and the CPI the authors analyzed the area under a given level divided into hourly intervals named hourly time integrals. These results have the potential to provide a paradigm shift in the setting .
