Back

Incidence and Risk Factors of Postoperative Delirium in Children with Congenital Heart Disease: A Retrospective Nationwide Inpatient Sample Database Study

An, R.-G.; Tang, J.-Q.; Xu, J.; Xie, H.; Dong, B.-F.; Wang, Y.; Tan, Z.-Q.; Zhou, M.-Q.

2025-08-03 pediatrics
10.1101/2025.08.01.25332649 medRxiv
Show abstract

BackgroundPostoperative delirium (POD) is an important neurocognitive complication following congenital heart disease (CHD) surgery in pediatric patients. While recognized for its association with adverse clinical outcomes, comprehensive population-based studies examining POD incidence and risk factors in this vulnerable population remain scarce. MethodsUsing the Nationwide Inpatient Sample (NIS) database (2010-2019), a retrospective study was performed of pediatric patients (<18 years) undergoing CHD-related surgeries. We evaluated demographics (race, sex, age), hospital characteristics (region of the hospital, type of admission, bed size of hospital, teaching status of hospital, type of insurance, location of hospital), mortality, length of stay (LOS), total charges, perioperative complications, and comorbidities. ResultsAmong 37,535 CHD surgery patients identified, POD was diagnosed in 717 (1.9%). Children with POD exhibited higher comorbidity burdens, increased total medical costs, prolonged LOS and increased rates of in-hospital mortality (P < 0.0001). Independent predictors of POD included coagulopathy, drug abuse, fluid and electrolyte disorders, other neurological disorders, and paralysis. Additionally, POD was linked to in-hospital complications, including prolonged mechanical ventilation, acute renal failure, acute myocardial infarction, pneumonia, and respiratory failure. ConclusionsAlthough the incidence of POD following CHD surgery in children is relatively low, investigating its predisposing factors is clinically valuable for optimizing patient management and improving outcomes.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.