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Published on: October 23, 2018
Peri-operative adverse respiratory events in children
B S von Ungern-Sternberg1, A Ramgolam, G L Hall
1School of Medicine and Pharmacology, The University of Western Australia, Perth, Western Australia, Australia; Department of Anaesthesia and Pain Management, Princess Margaret Hospital for Children, Perth, Western Australia, Australia.
Insights
Clinical risk factors, not allergy markers, effectively predict adverse respiratory events in pediatric anesthesia. Identifying children at high risk relies on patient history for better peri-operative safety.
Area of Science:
- Anesthesiology
- Pediatric Critical Care
- Allergy and Immunology
Background:
- Adverse respiratory events are a major cause of critical incidents and cardiac arrests in pediatric anesthesia.
- Airway inflammation and allergic sensitization are potential contributors to these events.
- Predictive markers for adverse respiratory events in children undergoing anesthesia are crucial for patient safety.
Purpose of the Study:
- To evaluate the predictive value of clinical risk factors and immunological markers of allergic sensitization for adverse respiratory events in pediatric anesthesia.
- To determine if common markers of allergic sensitization can serve as surrogates for airway inflammation and predict adverse respiratory events.
- To assess the association between the number of risk factors and the occurrence of adverse respiratory events.
Main Methods:
- A prospective study included 100 children up to 16 years old with at least two risk factors undergoing elective surgery.
- Measurements included eosinophil counts, IgE levels, and specific IgE for common allergens (D. pteronyssinus, cat epithelia, Gx2).
- Adverse respiratory events were recorded, and data were analyzed using logistic regression and Receiver Operating Characteristic (ROC) curves.
Main Results:
- Allergic markers (eosinophils, IgE, specific IgE) showed poor predictive value for adverse respiratory events.
- Clinical risk factors, derived from patient and family history, were strongly associated with adverse respiratory events (p < 0.001).
- A higher number of risk factors (more than four) significantly increased the likelihood of adverse respiratory events (p = 0.006).
Conclusions:
- Clinical risk factors are reliable predictors of adverse respiratory events in pediatric anesthesia.
- Immunological markers of allergic sensitization have low predictive value in this context.
- Pre-operative risk assessment for adverse respiratory events should prioritize clinical evaluation over immunological testing.
Abstract:
Three quarters of all critical incidents and a third of all peri-operative cardiac arrests in paediatric anaesthesia are caused by adverse respiratory events. We screened for risk factors from children's and their families' histories, and assessed the usefulness of common markers of allergic sensitisation of the airway as surrogates for airway inflammation and increased risk for adverse respiratory events. One hundred children aged up to 16 years with two or more risk factors undergoing elective surgery were included in the study. Eosinophil counts, IgE level, specific IgE for D. pteronyssinus, cat epithelia and Gx2 (grass pollen) were measured for each child and adverse respiratory events (bronchospasm, laryngospasm, oxygen desaturation < 95%, severe persistent coughing, airway obstruction and postoperative stridor) were recorded. Twenty-one patients had an adverse respiratory event but allergic markers were poor predictors. Binary logistic regression showed a lack of predictive value of the eosinophil range and adverse respiratory events (p = 0.249). Receiver operating characteristic (ROC) curves for the presence of adverse respiratory events vs level of specific IgE antibody (to Gx2 (AUC 0.614), cat epithelia (0.564) and D. pteronyssinus (0.520)) demonstrated poor predictive values. However, the presence of risk factors was strongly associated with adverse respiratory events (p < 0.001) and a ROC-curve analysis indicated a fair capacity to predict adverse respiratory events (AUC 0.788). There was a significant difference (p = 0.001) between the presence of adverse respiratory events in patients with more than four (p = 0.006), compared with less than four (p = 0.001), risk factors. We conclude that while risk factors taken from the child's (or family) history proved good predictors of adverse respiratory events, immunological markers of allergic sensitisation demonstrated low predictive values. Pre-operative identification of children at high risk for an adverse respiratory event should rely on clinical, rather than immunological, assessment.
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