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Published on: November 6, 2019
Mediating effects of postoperative complications in children with high-risk obstructive apnea following
Antara Gupta1, Hanna Gedamu1, Yann-Fuu Kou2
1University of Texas Southwestern Medical School, Dallas, TX, USA.
Insights
Pediatric obstructive sleep apnea (OSA) severity impacts postoperative complications through oxygen levels and CO2. Time spent below 90% oxygen (TST O2 <90%) is a key mediator, aiding risk identification in children undergoing adenotonsillectomy.
Area of Science:
- Pediatric Sleep Medicine
- Anesthesiology
- Otolaryngology
Background:
- Pediatric patients with high-risk obstructive sleep apnea (OSA) face increased postoperative complications after adenotonsillectomy (AT).
- Previous studies identified risk factors but did not explore mediating variables explaining the link between OSA severity and complications.
- Identifying these mediators is crucial for better risk stratification and targeted interventions in this population.
Purpose of the Study:
- To investigate the mediating variables that explain how high-risk obstructive sleep apnea (OSA) severity contributes to postoperative complications in pediatric patients undergoing adenotonsillectomy (AT).
- To identify specific polysomnography (PSG) parameters that mediate the relationship between OSA and adverse outcomes.
Main Methods:
- Causal-mediation analysis was performed on 307 pediatric patients (<18 years) with high-risk OSA who underwent AT and PSG between 2019 and 2021.
- Primary outcomes included intensive care unit (ICU) intervention, major respiratory intervention, and prolonged hospitalization (>48 hours).
- Twenty-five patient characteristics and PSG parameters were analyzed as potential mediators.
Main Results:
- The relationship between high-risk OSA and postoperative complications was significantly mediated by O2 nadir, CO2 max, and time spent with oxygen saturation below 90% (TST O2 <90%).
- Sensitivity analyses indicated that these mediation effects are sensitive to moderate levels of unmeasured confounding.
Conclusions:
- Time spent with oxygen saturation below 90% (TST O2 <90%) emerged as a novel and consistent mediator, potentially identifying high-risk patients missed by simple OSA severity scores.
- While causal mediation analysis identified key variables, sensitivity analyses highlight the need for cautious interpretation due to potential unmeasured confounding.
Background:
Pediatric patients with high-risk obstructive sleep apnea (OSA) undergoing adenotonsillectomy (AT) are at increased risk for postoperative complications. While prior studies have identified risk factors using univariate analysis and logistic regression, the mediating variables that explain how OSA severity leads to postoperative complications have not been studied. Identifying these mediating factors can guide risk stratification and targeted interventions for this vulnerable patient population.
Methods:
307 pediatric patients (<18 years) with high-risk OSA who underwent AT and polysomnography (PSG) from 2019 to 2021 were included. Causal-mediation analysis was conducted. Primary outcomes were intensive care unit (ICU) intervention, major respiratory intervention, and prolonged hospitalization (>48 h). Twenty-five different patient characteristics and PSG parameters were analyzed as mediators.
Results:
The relationship between high-risk OSA and all three postoperative complications is mediated by O2 nadir (P < 0.001), CO2 max (P<0.002), and time spent with oxygen saturation below 90% (TST O2 <90%) (P < 0.001). Sensitivity analyses revealed that the effects are sensitive to moderate levels of unmeasured confounding.
Conclusion:
Prior univariate analysis identified O2 nadir and CO2 max as significantly associated with postoperative complications. In this study, TST O2 <90% emerged as a novel and consistent mediator, suggesting it may be an important marker for identifying high-risk patients that simple OSA severity scores may miss. While causal mediation analysis clarified which variables acted as candidate mediators, sensitivity analysis revealed that they are sensitive to moderate levels of unmeasured confounding and should be interpreted cautiously.
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