Purpose: For successful prevention and intervention, it is important to unravel the complex constellation of factors that affect neurocognitive functioning after pediatric intensive care unit (PICU) admission. This study aims (1) to elucidate the potential relevance of patient and PICU-related characteristics for long-term adverse neurocognitive outcome after PICU admission for bronchiolitis, and (2) to perform a preliminary exploration of the potential of machine learning as compared to linear regression to improve neurocognitive outcome prediction in a relatively small sample of children after PICU admission.
Methods: This cross-sectional observational study investigated 65 children aged 6-12 years with previous PICU admission for bronchiolitis (age ≤ 1 year).
Objective: To investigate the long-term impact of pediatric intensive care unit (PICU) admission on daily life functioning while exploring the potential mediating role of neurocognitive outcome.
Study Design: This cross-sectional observational study compared children aged 6-12 years with previous PICU admission (age ≤1 year) for bronchiolitis requiring mechanical ventilation ("patient group," n = 65) to demographically comparable healthy peers ("control group," n = 76). The patient group was selected because bronchiolitis is not expected to affect neurocognitive functioning in itself.
Objectives: Morbidity after PICU admission for critical illness is a growing concern. Sequelae may occur in various domains of functioning and can only appropriately be determined through structured follow-up. Here, we describe the process of designing and implementing a structured multidisciplinary follow-up program for patients and their parents after PICU admission and show the first results illustrating the significance of our program.
View Article and Find Full Text PDFObjectives: Pediatric delirium (PD) is a neuropsychiatric syndrome caused by a complex interplay between predisposing factors (e.g., age, cognitive impairment), acute illness, and environmental triggers.
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