Performing perioperative optimization of the high-risk surgical patient.
Perioperative risk of death after general surgery is quoted as overall less than 1%. However, each individual's risk varies widely according to many identified factors with some having a significantly increased risk of a worse outcome. The observation that manipulating and targeting certain physiological parameters in selected patients can influence this risk has been reported in numerous studies. Yet it is still not widely practised to assist the process, despite the availability of various invasive and non-invasive monitors. This may be in part because of a lack of experience with the practicalities of perioperative optimization, and lack of knowledge in applying currently available tools. This article aims to try and address this deficit and increase awareness of how and when to utilize monitoring equipment to achieve optimal results for the patients we treat.
Tote
S P
SP
Department of Intensive Care Medicine, St Georges Hospital London. subodhtote@hotmail.com
Grounds
R M
RM
D000465:Algorithms; D006801:Humans; D016343:Monitoring, Intraoperative / Q000379:methods*; D008991:Monitoring, Physiologic / Q000379:methods; D018579:Patient Selection; D019990:Perioperative Care / Q000379:methods*; D012307:Risk Factors; D012308:Risk Management / Q000379:methods*