Development of Perioperative Delirium Prediction Model

Postoperative delirium is associated with an increased incidence of postoperative complications, which in turn lead to cognitive dysfunction, increased mortality, and the need for long-term care. It is predicted in the literature that the early detection of delirium cases, of which 30% are known to be preventable, improves prognosis. Accordingly, a prediction model based on the identification of delirium risk factors can categorise intensive care patients into distinct risk levels according to their probability of developing delirium, thus enabling healthcare professionals to ascertain the likelihood of delirium and implement suitable preventive measures. A review of the literature reveals the existence of numerous delirium prediction models designed to identify patients at high risk of developing delirium. However, there is a paucity of studies examining models for predicting delirium risk in the context of cardiovascular surgery. The objective of this study is to develop a delirium risk prediction model for the perioperative period in patients undergoing cardiovascular surgery.

Inclusion criteria

• Over 18 years old
• Previous cardiovascular surgery
• No mental deficiency and visual and hearing impairment
• Participants' acceptance to participate in the research
• The patient is not in coma (RASS score between -3 and +4, GCS score of 10 and above)

Exclusion criteria

• Cardiovascular surgery under emergency conditions
• Being diagnosed with delirium, dementia, psychiatric illness and taking medication for this reason before the surgery
• Serious conditions such as cardiopulmonary resuscitation during surgery
• Alcohol and drug addiction
• Duration of mechanical ventilation exceeding 36 hours
• Dying in the intensive care unit within 24 hours