Post-tonsillectomy respiratory complications in children with sleep disordered breathing

PICU admission and complications following adenotonsillectomies in pediatric patients: A retrospective cohort study

BACKGROUND

Children with obstructive sleep apnea (OSA) have higher risks of post-operative respiratory complication after adenotonsillectomy. However, there is no clinical standard criteria for pediatric intensive care unit (PICU) admission following adenotonsillectomy. The purpose of this study was to identify perioperative risk factors associated with the need for PICU level care after adenotonsillectomy.

METHODS

We performed a retrospective chart review of children with severe OSA (apnea hypopnea index on polysomnography; AHI ≥10) and/or post-operative PICU admission at a tertiary academic center from May 2010 to September 2018. We collected demographics, pre-existing comorbidities, perioperative medications, and post-operative complications. We defined a primary outcome as escalation of airway management while in the PICU or PICU stay >48 h. Airway escalation included the need for an invasive airway, new CPAP application, increased CPAP setting, or increased supplemental oxygen.

RESULTS

Analysis included 278 children with severe OSA and/or PICU admission. Median age was 6.6 years old; 181 (65%) were admitted to the PICU, and 60 (21.5%) had the composite outcome of escalation of airway management or prolonged stay. In patients with an escalation of airway management, 28 needed intubation or mechanical ventilation. Multivariable logistic regression showed intraoperative respiratory complications, polysomnography (PSG) peak end-tidal CO₂ (EtCO₂) reading >60 mmHg, and the presence of neuromuscular disease as significant associated factors for escalation of airway management or prolonged PICU stay (P values < 0.01; odd ratios 3.4, 5.3, and 5.4, respectively).

CONCLUSION

For children following adenotonsillectomy, PSG EtCO₂ ≥ 60%, preexisting neuromuscular disease, and intraoperative complications (hypoxia, difficult airway, etc.) were independently associated with escalation of airway management or prolonged stay. AHI was not an independent predictor for PICU complication. We concluded factors should be considered for PICU admission in addition to AHI.

Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators

OBJECTIVE

To test a feasible and reliable model for diagnosing obstructive sleep apnea (OSA) in children, based on the clinically relevant parameters, in comparison to a polysomnography.

METHODS

A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical parameters (modified Mallampati score, tonsil size, adenoid size, age, gender, and body mass index) and apnea-hypopnea index (AHI) obtained following an overnight polysomnography was assessed, and significant variables were incorporated in the logistic regression model. Also, the sensitivity and specificity calculations of the model with the inclusion of ROC curve analysis were performed.

RESULTS

All tee local clinical parameters were significantly associated with AHI (P < 0.001). The most significant correlation with AHI was shown with the modified Mallampati score (r = 0.723), following with tonsil size (r = 0.673), and adenoid size (r = 0.502). The sensitivity of the tested model was 84%, and specificity was 74%.

CONCLUSION

This study derived a model based on the local clinical findings that significantly overlapped with the results of an overnight polysomnography, in diagnosing OSA in children.