Graft factors as determinants of postoperative delirium after liver transplantation.
Damiano PatronoF RigoS BormidaP BerchiallaL GiordanengoS SkurzakR BalagnaRenato RomagnoliPublished in: Updates in surgery (2020)
Post-operative delirium (POD) is a frequent complication after surgery, occurring in 15-20% of patients. POD is associated with a higher complications rate and mortality. Literature on POD after liver transplantation (LT) is limited, with the few available studies reporting an incidence of 10-47%. The aim of this study was analyzing pattern, risk factors and clinical impact of POD after LT. Data on donor and recipient characteristics, postoperative course and POD of consecutive adult LT recipients from March 2016 to May 2018 were prospectively collected and retrospectively analyzed. Risk factors for POD were analyzed using univariable logistic regression and Lasso regression. Kaplan-Meier method was used for survival analysis. 309 patients underwent LT during study period; 3 were excluded due to perioperative death. Incidence of POD was 13.4% (n = 41). The median day of onset was 5th (IQR [4-7]) with a median duration of 4 days (IQR [3-7]). Several risk factors, related to the severity of liver disease and graft characteristics, were identified. Graft macrovesicular steatosis was the only factor independently associated with POD at multivariable analysis (OR 1.27, CI 1.09-1.51, p = 0.003). POD was associated with a higher rate of severe postoperative complications and longer intensive care unit and hospital stay, but did not significantly impact on patient and graft survival. Incidence of POD after LT is comparable to that observed after general surgery and graft factors are strongly associated with its onset. These results help identifying a subset of patients to be considered for preventive interventions.
Keyphrases
- risk factors
- end stage renal disease
- intensive care unit
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- patients undergoing
- peritoneal dialysis
- cardiac surgery
- type diabetes
- emergency department
- systematic review
- healthcare
- machine learning
- cardiovascular disease
- patient reported outcomes
- skeletal muscle
- young adults
- artificial intelligence
- extracorporeal membrane oxygenation
- case control