P89 Does the Department of Health’s paediatric community assessment tool predict severe bronchiolitis in infants on admission?

Abstract

Objective To evaluate the ability of the paediatric community assessment tool (CAT) to predict severe bronchiolitis in infants on admission. Setting Alder Hey NHS Foundation Trust, Liverpool, United Kingdom. The largest and busiest children’s hospital in Europe and a lead referral centre for intensive care. Design Retrospective case note review of the endemic bronchiolitis season- October 2013 to March 2014. CAT criterion data inferred from clinical findings and patient outcomes were single handedly extracted using the first accident and emergency assessment. Participants 106 infants ≤6 months (63 male, 43 female) from the local area (L1 - L38 postcodes) admitted with bronchiolitis. Covariates Paediatric CAT criteria: A ‘Severe respiratory distress’; B ‘Increased respiratory rate’; C ‘Peripheral oxygen saturation ≤ 92% (SpO2) on breathing air and using supplemental oxygen’; D ‘Respiratory exhaustion’; E ‘Severe clinical dehydration or shock’; F ‘Altered conscious level’; and G ‘ Other clinical concern’. Outcomes Oxygen; suction; intravenous fluids; intravenous antibiotics; nasogastric feeding, stay (≥ 48 h or ≥ 5 days); mechanical ventilation; and transfer to high dependency and/or intensive care. No mortality outcomes reported. Results and discussion Based on multivariable analyses, each paediatric criterion (A-G) was relevant predicting a given outcome. Of note, criterion D ‘Respiratory exhaustion’ was the only criterion to independently predict the sickest infants requiring mechanical ventilation and transfer to high dependency and/or intensive care. This is a significant finding not obtained in previous work. Criterion G ‘Other clinical concern’ predicted the most outcomes supporting the importance of this subjective criterion. Conclusion This study marks the first attempt to provide health professionals with a CAT evaluation specific to bronchiolitis. A strong relationship existed between the CAT and outcomes suggesting use of the tool could potentially help identify those severely ill infants who should be prioritised for assessment and may benefit from urgent care.