Cannabis Sativa

Authors
Gareth Ambler, Rumana Z Omar, Patrick Royston, Robin Kinsman, Bruce E Keogh, Kenneth M Taylor
Publication date
2005/7/12
Journal
Circulation
Volume
112
Issue
2
Pages
224-231
Publisher
Lippincott Williams & Wilkins
Description
Background— Heart valve surgery has an associated in-hospital mortality rate of 4% to 8%. This study aims to develop a simple risk model to predict the risk of in-hospital mortality for patients undergoing heart valve surgery to provide information to patients and clinicians and to facilitate institutional comparisons.
Methods and Results— Data on 32 839 patients were obtained from the Society of Cardiothoracic Surgeons of Great Britain and Ireland on patients who underwent heart valve surgery between April 1995 and March 2003. Data from the first 5 years (n=16 679) were used to develop the model; its performance was evaluated on the remaining data (n=16 160). The risk model presented here is based on the combined data. The overall in-hospital mortality was 6.4%. The risk model included, in order of importance (all P<0.01), operative priority, age, renal failure, operation sequence, ejection fraction …
Total citations
2005200620072008200920102011201220132014201520162017201820192020202120222023202431127302746303439211716141412891296
Scholar articles
G Ambler, RZ Omar, P Royston, R Kinsman, BE Keogh… - Circulation, 2005

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