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Updated: Nov 28, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Predictors of longitudinal outcomes for children using long-term noninvasive ventilation
Prabhjot K Bedi1, Kristie DeHaan2, Joanna E MacLean1,3
1Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Background:
Noninvasive ventilation (NIV) is a first-line therapy for sleep-related breathing disorders and chronic respiratory insufficiency. Evidence about predictors that may impact long-term NIV outcomes, however, is scarce. The aim of this study is to determine demographic, clinical, and technology-related predictors of long-term NIV outcomes.
Methods:
A 10-year multicentred retrospective review of children started on long-term continuous or bilevel positive airway pressure (CPAP or BPAP) in Alberta. Demographic, technology-related, and longitudinal clinical data were collected. Long-term outcomes examined included ongoing NIV use, discontinuation due to improvement in underlying conditions, switch to invasive mechanical ventilation (IMV) or death, patient/family therapy declination, transfer of services, and hospital admissions.
Results:
A total of 622 children were included. Both younger age and CPAP use predicted higher likelihood for NIV discontinuation due to improvement in underlying conditions (p < .05 and p < .01). Children with upper airway disorders or bronchopulmonary dysplasia were less likely to continue NIV (p < .05), while presence of central nervous system disorders had a higher likelihood of hospitalizations (p < .01). The presence of obesity/metabolic syndrome and early NIV-associated complications predicted higher risk for NIV declination (p < .05). Children with more comorbidities or use of additional therapies required more hospitalizations (p < .05 and p < .01) and the latter also predicted higher risk for being switched to IMV or death (p < .001).
Conclusions:
Demographic, clinical data, and NIV type impact long-term NIV outcomes and need to be considered during initial discussions about therapy expectations with families. Knowledge of factors that may impact long-term NIV outcomes might help to better monitor at-risk patients and minimize adverse outcomes.
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