ABSTRACT
OBJECTIVE: An increasing number of patients with significant comorbidities present for complex cardiac surgery, with a subgroup requiring discharge to long-term acute care facilities. We aim to examine predictors and mortality after discharge to a long-term acute care facility. METHODS: From January 1, 2015, to April 30, 2021, all adult cardiac surgeries were queried and patients discharged to long-term acute care facilities were identified. Baseline characteristics, procedures, and in-hospital complications were compared between long-term acute care facility and non-long-term acute care facility discharges. Random forest analysis was conducted to establish predictors of discharge to long-term acute care facilities. Kaplan-Meier survival analysis was used to determine probability of survival over 7 years. Multivariate regression modeling was used to establish predictors of death after long-term acute care facility discharge. RESULTS: Of 29,884 patients undergoing cardiac surgery, 324 (1.1%) were discharged to a long-term acute care facility. The long-term acute care facility group had higher rates of urgent/emergency operation (54% vs 23%; 10% vs 3%, P < .001) and longer mean cardiopulmonary bypass (167 vs 110 minutes, P < .001). By random forest analysis, emergency/urgent status, longer cardiopulmonary bypass duration, redo surgery, endocarditis, and history of dialysis were the most predictive of discharge to a long-term acute care facility. Although the non-long-term acute care facility group demonstrated greater than 95% survival at 6 months, Kaplan-Meier survival analysis showed 28% 6-month mortality in the long-term acute care facility cohort. Random forest analysis demonstrated that chronic lung disease and postoperative respiratory complications were significant predictors of death at 6 months after discharge to a long-term acute care facility. CONCLUSIONS: Patients with chronic lung and kidney disease undergoing prolonged procedures are at higher risk to be discharged to long-term acute care facilities after surgery with worse survival. Efforts to minimize postoperative respiratory complications may reduce mortality after discharge to long-term acute care facilities.
ABSTRACT
OBJECTIVE: The study objective was to characterize preoperative and postoperative continuous electroencephalogram metrics and hemodynamic adverse events as predictors of neurodevelopment in congenital heart disease infants undergoing cardiac surgery. METHODS: From 2010 to 2021, 320 infants underwent congenital heart disease surgery at our institution, of whom 217 had perioperative continuous electroencephalogram monitoring and were included in our study. Neurodevelopment was assessed in 76 patients by the Bayley Scales of Infant and Toddler Development, 3rd edition, consisting of cognitive, communication, and motor scaled scores. Patient and procedural factors, including hemodynamic adverse events, were included by means of the likelihood of covariate selection in our predictive model. Median (25th, 75th percentile) follow-up was 1.03 (0.09, 3.44) years with 3 (1, 6) Bayley Scales of Infant and Toddler Development, 3rd Edition evaluations per patient. RESULTS: Median age at index surgery was 7 (4, 23) days, and 81 (37%) were female. Epileptiform discharges, encephalopathy, and abnormality (lethargy and coma) were more prevalent on postoperative continuous electroencephalograms, compared with preoperative continuous electroencephalograms (P < .005). In 76 patients with Bayley Scales of Infant and Toddler Development, 3rd edition evaluations, patients with diffuse abnormality (P = .009), waveform discontinuity (P = .007), and lack of continuity (P = .037) on preoperative continuous electroencephalogram had lower cognitive scores. Patients with synchrony (P < .005) on preoperative and waveform continuity (P = .009) on postoperative continuous electroencephalogram had higher fine motor scores. Patients with postoperative adverse events had lower cognitive (P < .005) and gross motor scores (P < .005). CONCLUSIONS: Phenotypic patterns of perioperative continuous electroencephalogram metrics are associated with late-term neurologic injury in infants with congenital heart disease requiring surgery. Continuous electroencephalogram metrics can be integrated with hemodynamic adverse events in a predictive algorithm for neurologic impairment.
