Targets for improving patient outcomes after major gastrointestinal cancer surgery: the value of perioperative care

Abstract

This thesis aims to improve patient outcomes after major oncological gastrointestinal surgery, by identifying targets for optimizing perioperative care. On the one hand, identifying (adjustable) prognostic factors for postoperative complications and then using them in prediction models, and gaining insight into the quality of life after surgery. Improving preoperative risk assessment and subsequent personalization of postoperative care can reduce the rate of postoperative complications and mortality. In addition, risk prediction can support clinical knowledge in making treatment decisions. Modifiable prognostic factors are particularly important to identify as they may be optimized prior to surgery. Modifiable prognostic factors can then be used in prehabilitation programs to improve a patient's physical condition and thus improve patient outcomes. In addition, information about treatment consequences and treatment-related health problems is important for treatment decision-making for patients and healthcare professionals. Especially, if several treatment options are available, knowledge about (long-term) consequences of the treatment options is important for shared decision-making. This knowledge can also contribute to optimizing postoperative care and rehabilitation programs. In conclusion, the leads described in this thesis for improving postoperative care can be used to improve short- and long-term patient outcomes after complex oncological gastrointestinal surgery.