Báo cáo y học: "Ingredients for adequate evaluation of blood glucose algorithms as applied to the critically ill"

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: Ingredients for adequate evaluation of blood glucose algorithms as applied to the critically ill. | Available online http content 13 1 102 Commentary Ingredients for adequate evaluation of blood glucose algorithms as applied to the critically ill Tom Van Herpe 1 Bart De Moor1 and Greet Van den Berghe2 1 Department of Electrical Engineering ESAT - SCD Katholieke Universiteit Leuven Kasteelpark Arenberg 10 B-3001 Heverlee Leuven Belgium 2Department of Intensive Care Medicine University Hospital Gasthuisberg Katholieke Universiteit Leuven Herestraat B-3000 Leuven Belgium Corresponding author Tom Van Herpe Published 7 January 2009 This article is online at http content 13 1 102 2009 BioMed Central Ltd Critical Care 2009 13 102 doi cc7115 See related research by Eslami et al. http content 12 6 R139 Abstract The article by Eslami and colleagues provides an overview of the indicators used to measure the quality of blood glucose control in patients admitted to the intensive care unit. Each indicator can be related to one or more of the following categories blood glucose zones blood glucose levels time intervals and features of the insulin titration algorithm. Some important issues for instance those concerning the clarity of definitions used for glycaemic thresholds are raised. This systematic review calls for a practical guide to advise the clinician how different blood glucose signals should ideally be evaluated and which steps should to be undertaken. In the previous issue of Critical Care Eslami and coworkers 1 review the various outcome measures used to evaluate the quality of blood glucose BG control level of tight glycaemic control TGC in critically ill patients the review considers studies published prior to 2008. We should like to congratulate the authors for their careful search and analysis. They subdivided 30 different indicators into four nonortho-gonal categories BG zones adverse zones versus in-range zones BG levels for example mean BG time intervals for example time within a .

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