Fotios Dimitriadis, Christos Kourek, Niki Rouvali, Charalambia Kinti, Mariantzela Mavraki, Magda Georgopoulou, Theodoros Pitsolis, Theodosia Maragkoulia, Kyriaki Kolovou, Giorgos Konstantinou, Theodora Soulele, Michail Zervos, Paraskevi Salata, Dimitrios Elaiopoulos, Dimitra Doubou, Chrysa Panagiotou, Stavros Dimopoulos
These findings underscore the multifactorial nature of postoperative delirium and suggest that older age, higher EuroSCORE II, and longer anesthesia exposure are associated with increased delirium risk. However, given the exploratory design and modest discriminatory performance of the identified variables, these findings should not be interpreted as a validated risk prediction tool and require confirmation in larger multicenter studies.
BACKGROUND: Delirium is a frequent and serious complication following cardiac surgery, particularly in patients admitted to the intensive care unit (ICU), where it can negatively impact recovery and outcomes.
AIM: To investigate the incidence, risk factors, and clinical consequences of delirium in post-cardiac surgery ICU patients.
METHODS: A total of 202 consecutive patients admitted to the cardiac surgery ICU at the Onassis Cardiac Surgery Center were evaluated for delirium using the Confusion Assessment Method-ICU scale.
RESULTS: Delirium was observed in 29.2% of the cohort and was independently associated with older age, longer total anesthesia/sedation duration, and higher EuroSCORE II. These variables showed poor-to-fair/modest discriminatory ability for delirium prediction. Patients who developed delirium experienced more frequent reintubation, higher rates of ICU-acquired weakness and hemodialysis, prolonged mechanical ventilation, and extended ICU stays.
CONCLUSION: These findings underscore the multifactorial nature of postoperative delirium and suggest that older age, higher EuroSCORE II, and longer anesthesia exposure are associated with increased delirium risk. However, given the exploratory design and modest discriminatory performance of the identified variables, these findings should not be interpreted as a validated risk prediction tool and require confirmation in larger multicenter studies.